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19 Commits

Author SHA1 Message Date
ntohidi
f6a02c4358 Merge branch 'develop' into release/v0.7.5 2025-10-21 09:25:29 +02:00
unclecode
6d1a398419 feat(ci): split release pipeline and add Docker caching
- Split release.yml into PyPI/GitHub release and Docker workflows
- Add GitHub Actions cache for Docker builds (10-15x faster rebuilds)
- Implement dual-trigger for docker-release.yml (auto + manual)
- Add comprehensive workflow documentation in .github/workflows/docs/
- Backup original workflow as release.yml.backup
2025-10-21 10:53:12 +08:00
unclecode
c107617920 fix: thoroughly verify and fix all Crawl4AI skill examples
- Cross-checked every section against actual docs
- Fixed BM25ContentFilter parameters (user_query, bm25_threshold)
- Removed incorrect wait_for selector from basic example
- Added comprehensive test suite (4 test files)
- All examples now tested and verified working
- Tests validate: basic crawling, markdown generation, data extraction, advanced patterns
- Package size: 76.6 KB (includes tests for future validation)
2025-10-19 17:08:04 +08:00
unclecode
69d0ef89dd fix: update Crawl4AI skill with corrected parameters and examples
- Fixed CrawlerConfig → CrawlerRunConfig throughout
- Fixed parameter names (timeout → page_timeout, store_html removed)
- Fixed schema format (selector → baseSelector)
- Corrected proxy configuration (in BrowserConfig, not CrawlerRunConfig)
- Fixed fit_markdown usage with content filters
- Added comprehensive references to docs/examples/ directory
- Created safe packaging script to avoid root directory pollution
- All scripts tested and verified working
2025-10-19 16:16:20 +08:00
unclecode
1bf85bcb1a fix: remove non-existent wiki link and clarify skill usage instructions 2025-10-19 13:19:14 +08:00
unclecode
749232ba1a feat: add AI assistant skill package for Crawl4AI
- Create comprehensive skill package for AI coding assistants
- Include complete SDK reference (23K words, v0.7.4)
- Add three extraction scripts (basic, batch, pipeline)
- Implement version tracking in skill and scripts
- Add prominent download section on homepage
- Place skill in docs/assets for web distribution

The skill enables AI assistants like Claude, Cursor, and Windsurf
to effectively use Crawl4AI with optimized workflows for markdown
generation and data extraction.
2025-10-19 13:19:14 +08:00
unclecode
c7288dd2f1 docs: add complete SDK reference documentation
Add comprehensive single-page SDK reference combining:
- Installation & Setup
- Quick Start
- Core API (AsyncWebCrawler, arun, arun_many, CrawlResult)
- Configuration (BrowserConfig, CrawlerConfig, Parameters)
- Crawling Patterns
- Content Processing (Markdown, Fit Markdown, Selection, Interaction, Link & Media)
- Extraction Strategies (LLM and No-LLM)
- Advanced Features (Session Management, Hooks & Auth)

Generated using scripts/generate_sdk_docs.py in ultra-dense mode
optimized for AI assistant consumption.

Stats: 23K words, 185 code blocks, 220KB
2025-10-19 13:19:14 +08:00
ntohidi
c91b235cb7 docs: Update 0.7.5 video walkthrough 2025-10-14 13:49:57 +08:00
ntohidi
8fc1747225 docs: Add demonstration files for v0.7.5 release, showcasing the new Docker Hooks System and all other features. 2025-10-13 13:59:34 +08:00
ntohidi
aadab30c3d fix(docs): clarify Docker Hooks System with function-based API in README 2025-10-13 13:08:47 +08:00
ntohidi
4a04b8506a feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377
Add hooks_to_string() utility function that converts Python function objects
   to string representations for the Docker API, enabling developers to write hooks
   as regular Python functions instead of strings.

   Core Changes:
   - New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
   - Docker client now accepts both function objects and strings for hooks
   - Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
   - New hooks and hooks_timeout parameters in client.crawl() method

   Documentation:
   - Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
   - Updated main Docker deployment guide with comprehensive hooks section
   - Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)
2025-10-13 12:53:33 +08:00
ntohidi
7dadb65b80 Merge branch 'develop' into release/v0.7.5 2025-10-13 12:34:45 +08:00
ntohidi
a3f057e19f feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377
Add hooks_to_string() utility function that converts Python function objects
   to string representations for the Docker API, enabling developers to write hooks
   as regular Python functions instead of strings.

   Core Changes:
   - New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
   - Docker client now accepts both function objects and strings for hooks
   - Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
   - New hooks and hooks_timeout parameters in client.crawl() method

   Documentation:
   - Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
   - Updated main Docker deployment guide with comprehensive hooks section
   - Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)
2025-10-13 12:34:08 +08:00
ntohidi
611d48f93b Merge branch 'develop' into release/v0.7.5 2025-10-09 12:53:39 +08:00
ntohidi
936397ee0e Merge branch 'develop' of https://github.com/unclecode/crawl4ai into develop 2025-10-09 12:53:15 +08:00
Nasrin
9900f63f97 Merge pull request #1531 from unclecode/develop
Marketplace and brand book changes
2025-10-03 13:24:51 +08:00
ntohidi
9292b265fc Merge branch 'develop' of https://github.com/unclecode/crawl4ai into develop 2025-10-03 12:57:23 +08:00
ntohidi
70af81d9d7 refactor(release): remove memory management section for cleaner documentation. ref #1443 2025-09-30 11:54:21 +08:00
ntohidi
361499d291 Release v0.7.5: The Update
- Updated version to 0.7.5
- Added comprehensive demo and release notes
- Updated documentation
2025-09-29 18:05:26 +08:00
26 changed files with 12116 additions and 146 deletions

81
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name: Docker Release
on:
release:
types: [published]
push:
tags:
- 'docker-rebuild-v*' # Allow manual Docker rebuilds via tags
jobs:
docker:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Extract version from release or tag
id: get_version
run: |
if [ "${{ github.event_name }}" == "release" ]; then
# Triggered by release event
VERSION="${{ github.event.release.tag_name }}"
VERSION=${VERSION#v} # Remove 'v' prefix
else
# Triggered by docker-rebuild-v* tag
VERSION=${GITHUB_REF#refs/tags/docker-rebuild-v}
fi
echo "VERSION=$VERSION" >> $GITHUB_OUTPUT
echo "Building Docker images for version: $VERSION"
- name: Extract major and minor versions
id: versions
run: |
VERSION=${{ steps.get_version.outputs.VERSION }}
MAJOR=$(echo $VERSION | cut -d. -f1)
MINOR=$(echo $VERSION | cut -d. -f1-2)
echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
echo "Semantic versions - Major: $MAJOR, Minor: $MINOR"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_TOKEN }}
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: |
unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
unclecode/crawl4ai:latest
platforms: linux/amd64,linux/arm64
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Summary
run: |
echo "## 🐳 Docker Release Complete!" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Published Images" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Platforms" >> $GITHUB_STEP_SUMMARY
echo "- linux/amd64" >> $GITHUB_STEP_SUMMARY
echo "- linux/arm64" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 🚀 Pull Command" >> $GITHUB_STEP_SUMMARY
echo "\`\`\`bash" >> $GITHUB_STEP_SUMMARY
echo "docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
echo "\`\`\`" >> $GITHUB_STEP_SUMMARY

917
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# Workflow Architecture Documentation
## Overview
This document describes the technical architecture of the split release pipeline for Crawl4AI.
---
## Architecture Diagram
```
┌─────────────────────────────────────────────────────────────────┐
│ Developer │
│ │ │
│ ▼ │
│ git tag v1.2.3 │
│ git push --tags │
└──────────────────────────────┬──────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ GitHub Repository │
│ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Tag Event: v1.2.3 │ │
│ └────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ release.yml (Release Pipeline) │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 1. Extract Version │ │ │
│ │ │ v1.2.3 → 1.2.3 │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 2. Validate Version │ │ │
│ │ │ Tag == __version__.py │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 3. Build Python Package │ │ │
│ │ │ - Source dist (.tar.gz) │ │ │
│ │ │ - Wheel (.whl) │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 4. Upload to PyPI │ │ │
│ │ │ - Authenticate with token │ │ │
│ │ │ - Upload dist/* │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 5. Create GitHub Release │ │ │
│ │ │ - Tag: v1.2.3 │ │ │
│ │ │ - Body: Install instructions │ │ │
│ │ │ - Status: Published │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ └────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ Release Event: published (v1.2.3) │ │
│ └────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌────────────────────────────────────────────────────────┐ │
│ │ docker-release.yml (Docker Pipeline) │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 1. Extract Version from Release │ │ │
│ │ │ github.event.release.tag_name → 1.2.3 │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 2. Parse Semantic Versions │ │ │
│ │ │ 1.2.3 → Major: 1, Minor: 1.2 │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 3. Setup Multi-Arch Build │ │ │
│ │ │ - Docker Buildx │ │ │
│ │ │ - QEMU emulation │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 4. Authenticate Docker Hub │ │ │
│ │ │ - Username: DOCKER_USERNAME │ │ │
│ │ │ - Token: DOCKER_TOKEN │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 5. Build Multi-Arch Images │ │ │
│ │ │ ┌────────────────┬────────────────┐ │ │ │
│ │ │ │ linux/amd64 │ linux/arm64 │ │ │ │
│ │ │ └────────────────┴────────────────┘ │ │ │
│ │ │ Cache: GitHub Actions (type=gha) │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ │ ┌──────────────────────────────────────────────┐ │ │
│ │ │ 6. Push to Docker Hub │ │ │
│ │ │ Tags: │ │ │
│ │ │ - unclecode/crawl4ai:1.2.3 │ │ │
│ │ │ - unclecode/crawl4ai:1.2 │ │ │
│ │ │ - unclecode/crawl4ai:1 │ │ │
│ │ │ - unclecode/crawl4ai:latest │ │ │
│ │ └──────────────────────────────────────────────┘ │ │
│ └────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ External Services │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ PyPI │ │ Docker Hub │ │ GitHub │ │
│ │ │ │ │ │ │ │
│ │ crawl4ai │ │ unclecode/ │ │ Releases │ │
│ │ 1.2.3 │ │ crawl4ai │ │ v1.2.3 │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────┘
```
---
## Component Details
### 1. Release Pipeline (release.yml)
#### Purpose
Fast publication of Python package and GitHub release.
#### Input
- **Trigger**: Git tag matching `v*` (excluding `test-v*`)
- **Example**: `v1.2.3`
#### Processing Stages
##### Stage 1: Version Extraction
```bash
Input: refs/tags/v1.2.3
Output: VERSION=1.2.3
```
**Implementation**:
```bash
TAG_VERSION=${GITHUB_REF#refs/tags/v} # Remove 'refs/tags/v' prefix
echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
```
##### Stage 2: Version Validation
```bash
Input: TAG_VERSION=1.2.3
Check: crawl4ai/__version__.py contains __version__ = "1.2.3"
Output: Pass/Fail
```
**Implementation**:
```bash
PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
exit 1
fi
```
##### Stage 3: Package Build
```bash
Input: Source code + pyproject.toml
Output: dist/crawl4ai-1.2.3.tar.gz
dist/crawl4ai-1.2.3-py3-none-any.whl
```
**Implementation**:
```bash
python -m build
# Uses build backend defined in pyproject.toml
```
##### Stage 4: PyPI Upload
```bash
Input: dist/*.{tar.gz,whl}
Auth: PYPI_TOKEN
Output: Package published to PyPI
```
**Implementation**:
```bash
twine upload dist/*
# Environment:
# TWINE_USERNAME: __token__
# TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
```
##### Stage 5: GitHub Release Creation
```bash
Input: Tag: v1.2.3
Body: Markdown content
Output: Published GitHub release
```
**Implementation**:
```yaml
uses: softprops/action-gh-release@v2
with:
tag_name: v1.2.3
name: Release v1.2.3
body: |
Installation instructions and changelog
draft: false
prerelease: false
```
#### Output
- **PyPI Package**: https://pypi.org/project/crawl4ai/1.2.3/
- **GitHub Release**: Published release on repository
- **Event**: `release.published` (triggers Docker workflow)
#### Timeline
```
0:00 - Tag pushed
0:01 - Checkout + Python setup
0:02 - Version validation
0:03 - Package build
0:04 - PyPI upload starts
0:06 - PyPI upload complete
0:07 - GitHub release created
0:08 - Workflow complete
```
---
### 2. Docker Release Pipeline (docker-release.yml)
#### Purpose
Build and publish multi-architecture Docker images.
#### Inputs
##### Input 1: Release Event (Automatic)
```yaml
Event: release.published
Data: github.event.release.tag_name = "v1.2.3"
```
##### Input 2: Docker Rebuild Tag (Manual)
```yaml
Tag: docker-rebuild-v1.2.3
```
#### Processing Stages
##### Stage 1: Version Detection
```bash
# From release event:
VERSION = github.event.release.tag_name.strip("v")
# Result: "1.2.3"
# From rebuild tag:
VERSION = GITHUB_REF.replace("refs/tags/docker-rebuild-v", "")
# Result: "1.2.3"
```
##### Stage 2: Semantic Version Parsing
```bash
Input: VERSION=1.2.3
Output: MAJOR=1
MINOR=1.2
PATCH=3 (implicit)
```
**Implementation**:
```bash
MAJOR=$(echo $VERSION | cut -d. -f1) # Extract first component
MINOR=$(echo $VERSION | cut -d. -f1-2) # Extract first two components
```
##### Stage 3: Multi-Architecture Setup
```yaml
Setup:
- Docker Buildx (multi-platform builder)
- QEMU (ARM emulation on x86)
Platforms:
- linux/amd64 (x86_64)
- linux/arm64 (aarch64)
```
**Architecture**:
```
GitHub Runner (linux/amd64)
├─ Buildx Builder
│ ├─ Native: Build linux/amd64 image
│ └─ QEMU: Emulate ARM to build linux/arm64 image
└─ Generate manifest list (points to both images)
```
##### Stage 4: Docker Hub Authentication
```bash
Input: DOCKER_USERNAME
DOCKER_TOKEN
Output: Authenticated Docker client
```
##### Stage 5: Build with Cache
```yaml
Cache Configuration:
cache-from: type=gha # Read from GitHub Actions cache
cache-to: type=gha,mode=max # Write all layers
Cache Key Components:
- Workflow file path
- Branch name
- Architecture (amd64/arm64)
```
**Cache Hierarchy**:
```
Cache Entry: main/docker-release.yml/linux-amd64
├─ Layer: sha256:abc123... (FROM python:3.12)
├─ Layer: sha256:def456... (RUN apt-get update)
├─ Layer: sha256:ghi789... (COPY requirements.txt)
├─ Layer: sha256:jkl012... (RUN pip install)
└─ Layer: sha256:mno345... (COPY . /app)
Cache Hit/Miss Logic:
- If layer input unchanged → cache hit → skip build
- If layer input changed → cache miss → rebuild + all subsequent layers
```
##### Stage 6: Tag Generation
```bash
Input: VERSION=1.2.3, MAJOR=1, MINOR=1.2
Output Tags:
- unclecode/crawl4ai:1.2.3 (exact version)
- unclecode/crawl4ai:1.2 (minor version)
- unclecode/crawl4ai:1 (major version)
- unclecode/crawl4ai:latest (latest stable)
```
**Tag Strategy**:
- All tags point to same image SHA
- Users can pin to desired stability level
- Pushing new version updates `1`, `1.2`, and `latest` automatically
##### Stage 7: Push to Registry
```bash
For each tag:
For each platform (amd64, arm64):
Push image to Docker Hub
Create manifest list:
Manifest: unclecode/crawl4ai:1.2.3
├─ linux/amd64: sha256:abc...
└─ linux/arm64: sha256:def...
Docker CLI automatically selects correct platform on pull
```
#### Output
- **Docker Images**: 4 tags × 2 platforms = 8 image variants + 4 manifests
- **Docker Hub**: https://hub.docker.com/r/unclecode/crawl4ai/tags
#### Timeline
**Cold Cache (First Build)**:
```
0:00 - Release event received
0:01 - Checkout + Buildx setup
0:02 - Docker Hub auth
0:03 - Start build (amd64)
0:08 - Complete amd64 build
0:09 - Start build (arm64)
0:14 - Complete arm64 build
0:15 - Generate manifests
0:16 - Push all tags
0:17 - Workflow complete
```
**Warm Cache (Code Change Only)**:
```
0:00 - Release event received
0:01 - Checkout + Buildx setup
0:02 - Docker Hub auth
0:03 - Start build (amd64) - cache hit for layers 1-4
0:04 - Complete amd64 build (only layer 5 rebuilt)
0:05 - Start build (arm64) - cache hit for layers 1-4
0:06 - Complete arm64 build (only layer 5 rebuilt)
0:07 - Generate manifests
0:08 - Push all tags
0:09 - Workflow complete
```
---
## Data Flow
### Version Information Flow
```
Developer
crawl4ai/__version__.py
__version__ = "1.2.3"
├─► Git Tag
│ v1.2.3
│ │
│ ▼
│ release.yml
│ │
│ ├─► Validation
│ │ ✓ Match
│ │
│ ├─► PyPI Package
│ │ crawl4ai==1.2.3
│ │
│ └─► GitHub Release
│ v1.2.3
│ │
│ ▼
│ docker-release.yml
│ │
│ └─► Docker Tags
│ 1.2.3, 1.2, 1, latest
└─► Package Metadata
pyproject.toml
version = "1.2.3"
```
### Secrets Flow
```
GitHub Secrets (Encrypted at Rest)
├─► PYPI_TOKEN
│ │
│ ▼
│ release.yml
│ │
│ ▼
│ TWINE_PASSWORD env var (masked in logs)
│ │
│ ▼
│ PyPI API (HTTPS)
├─► DOCKER_USERNAME
│ │
│ ▼
│ docker-release.yml
│ │
│ ▼
│ docker/login-action (masked in logs)
│ │
│ ▼
│ Docker Hub API (HTTPS)
└─► DOCKER_TOKEN
docker-release.yml
docker/login-action (masked in logs)
Docker Hub API (HTTPS)
```
### Artifact Flow
```
Source Code
├─► release.yml
│ │
│ ▼
│ python -m build
│ │
│ ├─► crawl4ai-1.2.3.tar.gz
│ │ │
│ │ ▼
│ │ PyPI Storage
│ │ │
│ │ ▼
│ │ pip install crawl4ai
│ │
│ └─► crawl4ai-1.2.3-py3-none-any.whl
│ │
│ ▼
│ PyPI Storage
│ │
│ ▼
│ pip install crawl4ai
└─► docker-release.yml
docker build
├─► Image: linux/amd64
│ │
│ └─► Docker Hub
│ unclecode/crawl4ai:1.2.3-amd64
└─► Image: linux/arm64
└─► Docker Hub
unclecode/crawl4ai:1.2.3-arm64
```
---
## State Machines
### Release Pipeline State Machine
```
┌─────────┐
│ START │
└────┬────┘
┌──────────────┐
│ Extract │
│ Version │
└──────┬───────┘
┌──────────────┐ ┌─────────┐
│ Validate │─────►│ FAILED │
│ Version │ No │ (Exit 1)│
└──────┬───────┘ └─────────┘
│ Yes
┌──────────────┐
│ Build │
│ Package │
└──────┬───────┘
┌──────────────┐ ┌─────────┐
│ Upload │─────►│ FAILED │
│ to PyPI │ Error│ (Exit 1)│
└──────┬───────┘ └─────────┘
│ Success
┌──────────────┐
│ Create │
│ GH Release │
└──────┬───────┘
┌──────────────┐
│ SUCCESS │
│ (Emit Event) │
└──────────────┘
```
### Docker Pipeline State Machine
```
┌─────────┐
│ START │
│ (Event) │
└────┬────┘
┌──────────────┐
│ Detect │
│ Version │
│ Source │
└──────┬───────┘
┌──────────────┐
│ Parse │
│ Semantic │
│ Versions │
└──────┬───────┘
┌──────────────┐ ┌─────────┐
│ Authenticate │─────►│ FAILED │
│ Docker Hub │ Error│ (Exit 1)│
└──────┬───────┘ └─────────┘
│ Success
┌──────────────┐
│ Build │
│ amd64 │
└──────┬───────┘
┌──────────────┐ ┌─────────┐
│ Build │─────►│ FAILED │
│ arm64 │ Error│ (Exit 1)│
└──────┬───────┘ └─────────┘
│ Success
┌──────────────┐
│ Push All │
│ Tags │
└──────┬───────┘
┌──────────────┐
│ SUCCESS │
└──────────────┘
```
---
## Security Architecture
### Threat Model
#### Threats Mitigated
1. **Secret Exposure**
- Mitigation: GitHub Actions secret masking
- Evidence: Secrets never appear in logs
2. **Unauthorized Package Upload**
- Mitigation: Scoped PyPI tokens
- Evidence: Token limited to `crawl4ai` project
3. **Man-in-the-Middle**
- Mitigation: HTTPS for all API calls
- Evidence: PyPI, Docker Hub, GitHub all use TLS
4. **Supply Chain Tampering**
- Mitigation: Immutable artifacts, content checksums
- Evidence: PyPI stores SHA256, Docker uses content-addressable storage
#### Trust Boundaries
```
┌─────────────────────────────────────────┐
│ Trusted Zone │
│ ┌────────────────────────────────┐ │
│ │ GitHub Actions Runner │ │
│ │ - Ephemeral VM │ │
│ │ - Isolated environment │ │
│ │ - Access to secrets │ │
│ └────────────────────────────────┘ │
│ │ │
│ │ HTTPS (TLS 1.2+) │
│ ▼ │
└─────────────────────────────────────────┘
┌────────────┼────────────┐
│ │ │
▼ ▼ ▼
┌────────┐ ┌─────────┐ ┌──────────┐
│ PyPI │ │ Docker │ │ GitHub │
│ API │ │ Hub │ │ API │
└────────┘ └─────────┘ └──────────┘
External External External
Service Service Service
```
### Secret Management
#### Secret Lifecycle
```
Creation (Developer)
├─► PyPI: Create API token (scoped to project)
├─► Docker Hub: Create access token (read/write)
Storage (GitHub)
├─► Encrypted at rest (AES-256)
├─► Access controlled (repo-scoped)
Usage (Workflow)
├─► Injected as env vars
├─► Masked in logs (GitHub redacts on output)
├─► Never persisted to disk (in-memory only)
Transmission (API Call)
├─► HTTPS only
├─► TLS 1.2+ with strong ciphers
Rotation (Manual)
└─► Regenerate on PyPI/Docker Hub
Update GitHub secret
```
---
## Performance Characteristics
### Release Pipeline Performance
| Metric | Value | Notes |
|--------|-------|-------|
| Cold start | ~2-3 min | First run on new runner |
| Warm start | ~2-3 min | Minimal caching benefit |
| PyPI upload | ~30-60 sec | Network-bound |
| Package build | ~30 sec | CPU-bound |
| Parallelization | None | Sequential by design |
### Docker Pipeline Performance
| Metric | Cold Cache | Warm Cache (code) | Warm Cache (deps) |
|--------|-----------|-------------------|-------------------|
| Total time | 10-15 min | 1-2 min | 3-5 min |
| amd64 build | 5-7 min | 30-60 sec | 1-2 min |
| arm64 build | 5-7 min | 30-60 sec | 1-2 min |
| Push time | 1-2 min | 30 sec | 30 sec |
| Cache hit rate | 0% | 85% | 60% |
### Cache Performance Model
```python
def estimate_build_time(changes):
base_time = 60 # seconds (setup + push)
if "Dockerfile" in changes:
return base_time + (10 * 60) # Full rebuild: ~11 min
elif "requirements.txt" in changes:
return base_time + (3 * 60) # Deps rebuild: ~4 min
elif any(f.endswith(".py") for f in changes):
return base_time + 60 # Code only: ~2 min
else:
return base_time # No changes: ~1 min
```
---
## Scalability Considerations
### Current Limits
| Resource | Limit | Impact |
|----------|-------|--------|
| Workflow concurrency | 20 (default) | Max 20 releases in parallel |
| Artifact storage | 500 MB/artifact | PyPI packages small (<10 MB) |
| Cache storage | 10 GB/repo | Docker layers fit comfortably |
| Workflow run time | 6 hours | Plenty of headroom |
### Scaling Strategies
#### Horizontal Scaling (Multiple Repos)
```
crawl4ai (main)
├─ release.yml
└─ docker-release.yml
crawl4ai-plugins (separate)
├─ release.yml
└─ docker-release.yml
Each repo has independent:
- Secrets
- Cache (10 GB each)
- Concurrency limits (20 each)
```
#### Vertical Scaling (Larger Runners)
```yaml
jobs:
docker:
runs-on: ubuntu-latest-8-cores # GitHub-hosted larger runner
# 4x faster builds for CPU-bound layers
```
---
## Disaster Recovery
### Failure Scenarios
#### Scenario 1: Release Pipeline Fails
**Failure Point**: PyPI upload fails (network error)
**State**:
- ✓ Version validated
- ✓ Package built
- ✗ PyPI upload
- ✗ GitHub release
**Recovery**:
```bash
# Manual upload
twine upload dist/*
# Retry workflow (re-run from GitHub Actions UI)
```
**Prevention**: Add retry logic to PyPI upload
#### Scenario 2: Docker Pipeline Fails
**Failure Point**: ARM build fails (dependency issue)
**State**:
- ✓ PyPI published
- ✓ GitHub release created
- ✓ amd64 image built
- ✗ arm64 image build
**Recovery**:
```bash
# Fix Dockerfile
git commit -am "fix: ARM build dependency"
# Trigger rebuild
git tag docker-rebuild-v1.2.3
git push origin docker-rebuild-v1.2.3
```
**Impact**: PyPI package available, only Docker ARM users affected
#### Scenario 3: Partial Release
**Failure Point**: GitHub release creation fails
**State**:
- ✓ PyPI published
- ✗ GitHub release
- ✗ Docker images
**Recovery**:
```bash
# Create release manually
gh release create v1.2.3 \
--title "Release v1.2.3" \
--notes "..."
# This triggers docker-release.yml automatically
```
---
## Monitoring and Observability
### Metrics to Track
#### Release Pipeline
- Success rate (target: >99%)
- Duration (target: <3 min)
- PyPI upload time (target: <60 sec)
#### Docker Pipeline
- Success rate (target: >95%)
- Duration (target: <15 min cold, <2 min warm)
- Cache hit rate (target: >80% for code changes)
### Alerting
**Critical Alerts**:
- Release pipeline failure (blocks release)
- PyPI authentication failure (expired token)
**Warning Alerts**:
- Docker build >15 min (performance degradation)
- Cache hit rate <50% (cache issue)
### Logging
**GitHub Actions Logs**:
- Retention: 90 days
- Downloadable: Yes
- Searchable: Limited
**Recommended External Logging**:
```yaml
- name: Send logs to external service
if: failure()
run: |
curl -X POST https://logs.example.com/api/v1/logs \
-H "Content-Type: application/json" \
-d "{\"workflow\": \"${{ github.workflow }}\", \"status\": \"failed\"}"
```
---
## Future Enhancements
### Planned Improvements
1. **Automated Changelog Generation**
- Use conventional commits
- Generate CHANGELOG.md automatically
2. **Pre-release Testing**
- Test builds on `test-v*` tags
- Upload to TestPyPI
3. **Notification System**
- Slack/Discord notifications on release
- Email on failure
4. **Performance Optimization**
- Parallel Docker builds (amd64 + arm64 simultaneously)
- Persistent runners for better caching
5. **Enhanced Validation**
- Smoke tests after PyPI upload
- Container security scanning
---
## References
- [GitHub Actions Architecture](https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions)
- [Docker Build Cache](https://docs.docker.com/build/cache/)
- [PyPI API Documentation](https://warehouse.pypa.io/api-reference/)
---
**Last Updated**: 2025-01-21
**Version**: 2.0

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# Workflow Quick Reference
## Quick Commands
### Standard Release
```bash
# 1. Update version
vim crawl4ai/__version__.py # Set to "1.2.3"
# 2. Commit and tag
git add crawl4ai/__version__.py
git commit -m "chore: bump version to 1.2.3"
git tag v1.2.3
git push origin main
git push origin v1.2.3
# 3. Monitor
# - PyPI: ~2-3 minutes
# - Docker: ~1-15 minutes
```
### Docker Rebuild Only
```bash
git tag docker-rebuild-v1.2.3
git push origin docker-rebuild-v1.2.3
```
### Delete Tag (Undo Release)
```bash
# Local
git tag -d v1.2.3
# Remote
git push --delete origin v1.2.3
# GitHub Release
gh release delete v1.2.3
```
---
## Workflow Triggers
### release.yml
| Event | Pattern | Example |
|-------|---------|---------|
| Tag push | `v*` | `v1.2.3` |
| Excludes | `test-v*` | `test-v1.2.3` |
### docker-release.yml
| Event | Pattern | Example |
|-------|---------|---------|
| Release published | `release.published` | Automatic |
| Tag push | `docker-rebuild-v*` | `docker-rebuild-v1.2.3` |
---
## Environment Variables
### release.yml
| Variable | Source | Example |
|----------|--------|---------|
| `VERSION` | Git tag | `1.2.3` |
| `TWINE_USERNAME` | Static | `__token__` |
| `TWINE_PASSWORD` | Secret | `pypi-Ag...` |
| `GITHUB_TOKEN` | Auto | `ghp_...` |
### docker-release.yml
| Variable | Source | Example |
|----------|--------|---------|
| `VERSION` | Release/Tag | `1.2.3` |
| `MAJOR` | Computed | `1` |
| `MINOR` | Computed | `1.2` |
| `DOCKER_USERNAME` | Secret | `unclecode` |
| `DOCKER_TOKEN` | Secret | `dckr_pat_...` |
---
## Docker Tags Generated
| Version | Tags Created |
|---------|-------------|
| v1.0.0 | `1.0.0`, `1.0`, `1`, `latest` |
| v1.1.0 | `1.1.0`, `1.1`, `1`, `latest` |
| v1.2.3 | `1.2.3`, `1.2`, `1`, `latest` |
| v2.0.0 | `2.0.0`, `2.0`, `2`, `latest` |
---
## Workflow Outputs
### release.yml
| Output | Location | Time |
|--------|----------|------|
| PyPI Package | https://pypi.org/project/crawl4ai/ | ~2-3 min |
| GitHub Release | Repository → Releases | ~2-3 min |
| Workflow Summary | Actions → Run → Summary | Immediate |
### docker-release.yml
| Output | Location | Time |
|--------|----------|------|
| Docker Images | https://hub.docker.com/r/unclecode/crawl4ai | ~1-15 min |
| Workflow Summary | Actions → Run → Summary | Immediate |
---
## Common Issues
| Issue | Solution |
|-------|----------|
| Version mismatch | Update `crawl4ai/__version__.py` to match tag |
| PyPI 403 Forbidden | Check `PYPI_TOKEN` secret |
| PyPI 400 File exists | Version already published, increment version |
| Docker auth failed | Regenerate `DOCKER_TOKEN` |
| Docker build timeout | Check Dockerfile, review build logs |
| Cache not working | First build on branch always cold |
---
## Secrets Checklist
- [ ] `PYPI_TOKEN` - PyPI API token (project or account scope)
- [ ] `DOCKER_USERNAME` - Docker Hub username
- [ ] `DOCKER_TOKEN` - Docker Hub access token (read/write)
- [ ] `GITHUB_TOKEN` - Auto-provided (no action needed)
---
## Workflow Dependencies
### release.yml Dependencies
```yaml
Python: 3.12
Actions:
- actions/checkout@v4
- actions/setup-python@v5
- softprops/action-gh-release@v2
PyPI Packages:
- build
- twine
```
### docker-release.yml Dependencies
```yaml
Actions:
- actions/checkout@v4
- docker/setup-buildx-action@v3
- docker/login-action@v3
- docker/build-push-action@v5
Docker:
- Buildx
- QEMU (for multi-arch)
```
---
## Cache Information
### Type
- GitHub Actions Cache (`type=gha`)
### Storage
- **Limit**: 10GB per repository
- **Retention**: 7 days for unused entries
- **Cleanup**: Automatic LRU eviction
### Performance
| Scenario | Cache Hit | Build Time |
|----------|-----------|------------|
| First build | 0% | 10-15 min |
| Code change only | 85% | 1-2 min |
| Dependency update | 60% | 3-5 min |
| No changes | 100% | 30-60 sec |
---
## Build Platforms
| Platform | Architecture | Devices |
|----------|--------------|---------|
| linux/amd64 | x86_64 | Intel/AMD servers, AWS EC2, GCP |
| linux/arm64 | aarch64 | Apple Silicon, AWS Graviton, Raspberry Pi |
---
## Version Validation
### Pre-Tag Checklist
```bash
# Check current version
python -c "from crawl4ai.__version__ import __version__; print(__version__)"
# Verify it matches intended tag
# If tag is v1.2.3, version should be "1.2.3"
```
### Post-Release Verification
```bash
# PyPI
pip install crawl4ai==1.2.3
python -c "import crawl4ai; print(crawl4ai.__version__)"
# Docker
docker pull unclecode/crawl4ai:1.2.3
docker run unclecode/crawl4ai:1.2.3 python -c "import crawl4ai; print(crawl4ai.__version__)"
```
---
## Monitoring URLs
| Service | URL |
|---------|-----|
| GitHub Actions | `https://github.com/{owner}/{repo}/actions` |
| PyPI Project | `https://pypi.org/project/crawl4ai/` |
| Docker Hub | `https://hub.docker.com/r/unclecode/crawl4ai` |
| GitHub Releases | `https://github.com/{owner}/{repo}/releases` |
---
## Rollback Strategy
### PyPI (Cannot Delete)
```bash
# Increment patch version
git tag v1.2.4
git push origin v1.2.4
```
### Docker (Can Overwrite)
```bash
# Rebuild with fix
git tag docker-rebuild-v1.2.3
git push origin docker-rebuild-v1.2.3
```
### GitHub Release
```bash
# Delete release
gh release delete v1.2.3
# Delete tag
git push --delete origin v1.2.3
```
---
## Status Badge Markdown
```markdown
[![Release Pipeline](https://github.com/{owner}/{repo}/actions/workflows/release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/release.yml)
[![Docker Release](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml)
```
---
## Timeline Example
```
0:00 - Push tag v1.2.3
0:01 - release.yml starts
0:02 - Version validation passes
0:03 - Package built
0:04 - PyPI upload starts
0:06 - PyPI upload complete ✓
0:07 - GitHub release created ✓
0:08 - release.yml complete
0:08 - docker-release.yml triggered
0:10 - Docker build starts
0:12 - amd64 image built (cache hit)
0:14 - arm64 image built (cache hit)
0:15 - Images pushed to Docker Hub ✓
0:16 - docker-release.yml complete
Total: ~16 minutes
Critical path (PyPI + GitHub): ~8 minutes
```
---
## Contact
For workflow issues:
1. Check Actions tab for logs
2. Review this reference
3. See [README.md](./README.md) for detailed docs

View File

@@ -10,53 +10,53 @@ jobs:
runs-on: ubuntu-latest runs-on: ubuntu-latest
permissions: permissions:
contents: write # Required for creating releases contents: write # Required for creating releases
steps: steps:
- name: Checkout code - name: Checkout code
uses: actions/checkout@v4 uses: actions/checkout@v4
- name: Set up Python - name: Set up Python
uses: actions/setup-python@v5 uses: actions/setup-python@v5
with: with:
python-version: '3.12' python-version: '3.12'
- name: Extract version from tag - name: Extract version from tag
id: get_version id: get_version
run: | run: |
TAG_VERSION=${GITHUB_REF#refs/tags/v} TAG_VERSION=${GITHUB_REF#refs/tags/v}
echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
echo "Releasing version: $TAG_VERSION" echo "Releasing version: $TAG_VERSION"
- name: Install package dependencies - name: Install package dependencies
run: | run: |
pip install -e . pip install -e .
- name: Check version consistency - name: Check version consistency
run: | run: |
TAG_VERSION=${{ steps.get_version.outputs.VERSION }} TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)") PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
echo "Tag version: $TAG_VERSION" echo "Tag version: $TAG_VERSION"
echo "Package version: $PACKAGE_VERSION" echo "Package version: $PACKAGE_VERSION"
if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION" echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
echo "Please update crawl4ai/__version__.py to match the tag version" echo "Please update crawl4ai/__version__.py to match the tag version"
exit 1 exit 1
fi fi
echo "✅ Version check passed: $TAG_VERSION" echo "✅ Version check passed: $TAG_VERSION"
- name: Install build dependencies - name: Install build dependencies
run: | run: |
python -m pip install --upgrade pip python -m pip install --upgrade pip
pip install build twine pip install build twine
- name: Build package - name: Build package
run: python -m build run: python -m build
- name: Check package - name: Check package
run: twine check dist/* run: twine check dist/*
- name: Upload to PyPI - name: Upload to PyPI
env: env:
TWINE_USERNAME: __token__ TWINE_USERNAME: __token__
@@ -65,37 +65,7 @@ jobs:
echo "📦 Uploading to PyPI..." echo "📦 Uploading to PyPI..."
twine upload dist/* twine upload dist/*
echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/" echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_TOKEN }}
- name: Extract major and minor versions
id: versions
run: |
VERSION=${{ steps.get_version.outputs.VERSION }}
MAJOR=$(echo $VERSION | cut -d. -f1)
MINOR=$(echo $VERSION | cut -d. -f1-2)
echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: |
unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
unclecode/crawl4ai:latest
platforms: linux/amd64,linux/arm64
- name: Create GitHub Release - name: Create GitHub Release
uses: softprops/action-gh-release@v2 uses: softprops/action-gh-release@v2
with: with:
@@ -103,26 +73,29 @@ jobs:
name: Release v${{ steps.get_version.outputs.VERSION }} name: Release v${{ steps.get_version.outputs.VERSION }}
body: | body: |
## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released! ## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
### 📦 Installation ### 📦 Installation
**PyPI:** **PyPI:**
```bash ```bash
pip install crawl4ai==${{ steps.get_version.outputs.VERSION }} pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
``` ```
**Docker:** **Docker:**
```bash ```bash
docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }} docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
docker pull unclecode/crawl4ai:latest docker pull unclecode/crawl4ai:latest
``` ```
**Note:** Docker images are being built and will be available shortly.
Check the [Docker Release workflow](https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml) for build status.
### 📝 What's Changed ### 📝 What's Changed
See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details. See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
draft: false draft: false
prerelease: false prerelease: false
token: ${{ secrets.GITHUB_TOKEN }} token: ${{ secrets.GITHUB_TOKEN }}
- name: Summary - name: Summary
run: | run: |
echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
@@ -132,11 +105,9 @@ jobs:
echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY echo "" >> $GITHUB_STEP_SUMMARY
echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY echo "- https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
echo "Docker images are being built in a separate workflow." >> $GITHUB_STEP_SUMMARY
echo "Check: https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml" >> $GITHUB_STEP_SUMMARY

142
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@@ -0,0 +1,142 @@
name: Release Pipeline
on:
push:
tags:
- 'v*'
- '!test-v*' # Exclude test tags
jobs:
release:
runs-on: ubuntu-latest
permissions:
contents: write # Required for creating releases
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Extract version from tag
id: get_version
run: |
TAG_VERSION=${GITHUB_REF#refs/tags/v}
echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
echo "Releasing version: $TAG_VERSION"
- name: Install package dependencies
run: |
pip install -e .
- name: Check version consistency
run: |
TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
echo "Tag version: $TAG_VERSION"
echo "Package version: $PACKAGE_VERSION"
if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
echo "Please update crawl4ai/__version__.py to match the tag version"
exit 1
fi
echo "✅ Version check passed: $TAG_VERSION"
- name: Install build dependencies
run: |
python -m pip install --upgrade pip
pip install build twine
- name: Build package
run: python -m build
- name: Check package
run: twine check dist/*
- name: Upload to PyPI
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: |
echo "📦 Uploading to PyPI..."
twine upload dist/*
echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_TOKEN }}
- name: Extract major and minor versions
id: versions
run: |
VERSION=${{ steps.get_version.outputs.VERSION }}
MAJOR=$(echo $VERSION | cut -d. -f1)
MINOR=$(echo $VERSION | cut -d. -f1-2)
echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: |
unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
unclecode/crawl4ai:latest
platforms: linux/amd64,linux/arm64
- name: Create GitHub Release
uses: softprops/action-gh-release@v2
with:
tag_name: v${{ steps.get_version.outputs.VERSION }}
name: Release v${{ steps.get_version.outputs.VERSION }}
body: |
## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
### 📦 Installation
**PyPI:**
```bash
pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
```
**Docker:**
```bash
docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
docker pull unclecode/crawl4ai:latest
```
### 📝 What's Changed
See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
draft: false
prerelease: false
token: ${{ secrets.GITHUB_TOKEN }}
- name: Summary
run: |
echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 📦 PyPI Package" >> $GITHUB_STEP_SUMMARY
echo "- Version: ${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY

2
.gitignore vendored
View File

@@ -266,6 +266,8 @@ continue_config.json
.llm.env .llm.env
.private/ .private/
.claude/
CLAUDE_MONITOR.md CLAUDE_MONITOR.md
CLAUDE.md CLAUDE.md

View File

@@ -27,11 +27,13 @@
Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community. Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.
[✨ Check out latest update v0.7.4](#-recent-updates) [✨ Check out latest update v0.7.5](#-recent-updates)
✨ New in v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md) ✨ New in v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
✨ Recent v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md) ✨ Recent v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
✨ Previous v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
<details> <details>
<summary>🤓 <strong>My Personal Story</strong></summary> <summary>🤓 <strong>My Personal Story</strong></summary>
@@ -177,7 +179,7 @@ No rate-limited APIs. No lock-in. Build and own your data pipeline with direct g
- 📸 **Screenshots**: Capture page screenshots during crawling for debugging or analysis. - 📸 **Screenshots**: Capture page screenshots during crawling for debugging or analysis.
- 📂 **Raw Data Crawling**: Directly process raw HTML (`raw:`) or local files (`file://`). - 📂 **Raw Data Crawling**: Directly process raw HTML (`raw:`) or local files (`file://`).
- 🔗 **Comprehensive Link Extraction**: Extracts internal, external links, and embedded iframe content. - 🔗 **Comprehensive Link Extraction**: Extracts internal, external links, and embedded iframe content.
- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior. - 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior (supports both string and function-based APIs).
- 💾 **Caching**: Cache data for improved speed and to avoid redundant fetches. - 💾 **Caching**: Cache data for improved speed and to avoid redundant fetches.
- 📄 **Metadata Extraction**: Retrieve structured metadata from web pages. - 📄 **Metadata Extraction**: Retrieve structured metadata from web pages.
- 📡 **IFrame Content Extraction**: Seamless extraction from embedded iframe content. - 📡 **IFrame Content Extraction**: Seamless extraction from embedded iframe content.
@@ -544,6 +546,54 @@ async def test_news_crawl():
## ✨ Recent Updates ## ✨ Recent Updates
<details>
<summary><strong>Version 0.7.5 Release Highlights - The Docker Hooks & Security Update</strong></summary>
- **🔧 Docker Hooks System**: Complete pipeline customization with user-provided Python functions at 8 key points
- **✨ Function-Based Hooks API (NEW)**: Write hooks as regular Python functions with full IDE support:
```python
from crawl4ai import hooks_to_string
from crawl4ai.docker_client import Crawl4aiDockerClient
# Define hooks as regular Python functions
async def on_page_context_created(page, context, **kwargs):
"""Block images to speed up crawling"""
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def before_goto(page, context, url, **kwargs):
"""Add custom headers"""
await page.set_extra_http_headers({'X-Crawl4AI': 'v0.7.5'})
return page
# Option 1: Use hooks_to_string() utility for REST API
hooks_code = hooks_to_string({
"on_page_context_created": on_page_context_created,
"before_goto": before_goto
})
# Option 2: Docker client with automatic conversion (Recommended)
client = Crawl4aiDockerClient(base_url="http://localhost:11235")
results = await client.crawl(
urls=["https://httpbin.org/html"],
hooks={
"on_page_context_created": on_page_context_created,
"before_goto": before_goto
}
)
# ✓ Full IDE support, type checking, and reusability!
```
- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
- **🔒 HTTPS Preservation**: Secure internal link handling with `preserve_https_for_internal_links=True`
- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
- **🛠️ Bug Fixes**: Resolved multiple community-reported issues including URL processing, JWT authentication, and proxy configuration
[Full v0.7.5 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
</details>
<details> <details>
<summary><strong>Version 0.7.4 Release Highlights - The Intelligent Table Extraction & Performance Update</strong></summary> <summary><strong>Version 0.7.4 Release Highlights - The Intelligent Table Extraction & Performance Update</strong></summary>

View File

@@ -103,7 +103,8 @@ from .browser_adapter import (
from .utils import ( from .utils import (
start_colab_display_server, start_colab_display_server,
setup_colab_environment setup_colab_environment,
hooks_to_string
) )
__all__ = [ __all__ = [
@@ -183,6 +184,7 @@ __all__ = [
"ProxyConfig", "ProxyConfig",
"start_colab_display_server", "start_colab_display_server",
"setup_colab_environment", "setup_colab_environment",
"hooks_to_string",
# C4A Script additions # C4A Script additions
"c4a_compile", "c4a_compile",
"c4a_validate", "c4a_validate",

View File

@@ -1,7 +1,7 @@
# crawl4ai/__version__.py # crawl4ai/__version__.py
# This is the version that will be used for stable releases # This is the version that will be used for stable releases
__version__ = "0.7.4" __version__ = "0.7.5"
# For nightly builds, this gets set during build process # For nightly builds, this gets set during build process
__nightly_version__ = None __nightly_version__ = None

View File

@@ -1,4 +1,4 @@
from typing import List, Optional, Union, AsyncGenerator, Dict, Any from typing import List, Optional, Union, AsyncGenerator, Dict, Any, Callable
import httpx import httpx
import json import json
from urllib.parse import urljoin from urllib.parse import urljoin
@@ -7,6 +7,7 @@ import asyncio
from .async_configs import BrowserConfig, CrawlerRunConfig from .async_configs import BrowserConfig, CrawlerRunConfig
from .models import CrawlResult from .models import CrawlResult
from .async_logger import AsyncLogger, LogLevel from .async_logger import AsyncLogger, LogLevel
from .utils import hooks_to_string
class Crawl4aiClientError(Exception): class Crawl4aiClientError(Exception):
@@ -70,17 +71,41 @@ class Crawl4aiDockerClient:
self.logger.error(f"Server unreachable: {str(e)}", tag="ERROR") self.logger.error(f"Server unreachable: {str(e)}", tag="ERROR")
raise ConnectionError(f"Cannot connect to server: {str(e)}") raise ConnectionError(f"Cannot connect to server: {str(e)}")
def _prepare_request(self, urls: List[str], browser_config: Optional[BrowserConfig] = None, def _prepare_request(
crawler_config: Optional[CrawlerRunConfig] = None) -> Dict[str, Any]: self,
urls: List[str],
browser_config: Optional[BrowserConfig] = None,
crawler_config: Optional[CrawlerRunConfig] = None,
hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
hooks_timeout: int = 30
) -> Dict[str, Any]:
"""Prepare request data from configs.""" """Prepare request data from configs."""
if self._token: if self._token:
self._http_client.headers["Authorization"] = f"Bearer {self._token}" self._http_client.headers["Authorization"] = f"Bearer {self._token}"
return {
request_data = {
"urls": urls, "urls": urls,
"browser_config": browser_config.dump() if browser_config else {}, "browser_config": browser_config.dump() if browser_config else {},
"crawler_config": crawler_config.dump() if crawler_config else {} "crawler_config": crawler_config.dump() if crawler_config else {}
} }
# Handle hooks if provided
if hooks:
# Check if hooks are already strings or need conversion
if any(callable(v) for v in hooks.values()):
# Convert function objects to strings
hooks_code = hooks_to_string(hooks)
else:
# Already in string format
hooks_code = hooks
request_data["hooks"] = {
"code": hooks_code,
"timeout": hooks_timeout
}
return request_data
async def _request(self, method: str, endpoint: str, **kwargs) -> httpx.Response: async def _request(self, method: str, endpoint: str, **kwargs) -> httpx.Response:
"""Make an HTTP request with error handling.""" """Make an HTTP request with error handling."""
url = urljoin(self.base_url, endpoint) url = urljoin(self.base_url, endpoint)
@@ -102,16 +127,42 @@ class Crawl4aiDockerClient:
self, self,
urls: List[str], urls: List[str],
browser_config: Optional[BrowserConfig] = None, browser_config: Optional[BrowserConfig] = None,
crawler_config: Optional[CrawlerRunConfig] = None crawler_config: Optional[CrawlerRunConfig] = None,
hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
hooks_timeout: int = 30
) -> Union[CrawlResult, List[CrawlResult], AsyncGenerator[CrawlResult, None]]: ) -> Union[CrawlResult, List[CrawlResult], AsyncGenerator[CrawlResult, None]]:
"""Execute a crawl operation.""" """
Execute a crawl operation.
Args:
urls: List of URLs to crawl
browser_config: Browser configuration
crawler_config: Crawler configuration
hooks: Optional hooks - can be either:
- Dict[str, Callable]: Function objects that will be converted to strings
- Dict[str, str]: Already stringified hook code
hooks_timeout: Timeout in seconds for each hook execution (1-120)
Returns:
Single CrawlResult, list of results, or async generator for streaming
Example with function hooks:
>>> async def my_hook(page, context, **kwargs):
... await page.set_viewport_size({"width": 1920, "height": 1080})
... return page
>>>
>>> result = await client.crawl(
... ["https://example.com"],
... hooks={"on_page_context_created": my_hook}
... )
"""
await self._check_server() await self._check_server()
data = self._prepare_request(urls, browser_config, crawler_config) data = self._prepare_request(urls, browser_config, crawler_config, hooks, hooks_timeout)
is_streaming = crawler_config and crawler_config.stream is_streaming = crawler_config and crawler_config.stream
self.logger.info(f"Crawling {len(urls)} URLs {'(streaming)' if is_streaming else ''}", tag="CRAWL") self.logger.info(f"Crawling {len(urls)} URLs {'(streaming)' if is_streaming else ''}", tag="CRAWL")
if is_streaming: if is_streaming:
async def stream_results() -> AsyncGenerator[CrawlResult, None]: async def stream_results() -> AsyncGenerator[CrawlResult, None]:
async with self._http_client.stream("POST", f"{self.base_url}/crawl/stream", json=data) as response: async with self._http_client.stream("POST", f"{self.base_url}/crawl/stream", json=data) as response:
@@ -128,12 +179,12 @@ class Crawl4aiDockerClient:
else: else:
yield CrawlResult(**result) yield CrawlResult(**result)
return stream_results() return stream_results()
response = await self._request("POST", "/crawl", json=data) response = await self._request("POST", "/crawl", json=data)
result_data = response.json() result_data = response.json()
if not result_data.get("success", False): if not result_data.get("success", False):
raise RequestError(f"Crawl failed: {result_data.get('msg', 'Unknown error')}") raise RequestError(f"Crawl failed: {result_data.get('msg', 'Unknown error')}")
results = [CrawlResult(**r) for r in result_data.get("results", [])] results = [CrawlResult(**r) for r in result_data.get("results", [])]
self.logger.success(f"Crawl completed with {len(results)} results", tag="CRAWL") self.logger.success(f"Crawl completed with {len(results)} results", tag="CRAWL")
return results[0] if len(results) == 1 else results return results[0] if len(results) == 1 else results

View File

@@ -47,6 +47,7 @@ from urllib.parse import (
urljoin, urlparse, urlunparse, urljoin, urlparse, urlunparse,
parse_qsl, urlencode, quote, unquote parse_qsl, urlencode, quote, unquote
) )
import inspect
# Monkey patch to fix wildcard handling in urllib.robotparser # Monkey patch to fix wildcard handling in urllib.robotparser
@@ -3529,4 +3530,52 @@ def get_memory_stats() -> Tuple[float, float, float]:
available_gb = get_true_available_memory_gb() available_gb = get_true_available_memory_gb()
used_percent = get_true_memory_usage_percent() used_percent = get_true_memory_usage_percent()
return used_percent, available_gb, total_gb return used_percent, available_gb, total_gb
# Hook utilities for Docker API
def hooks_to_string(hooks: Dict[str, Callable]) -> Dict[str, str]:
"""
Convert hook function objects to string representations for Docker API.
This utility simplifies the process of using hooks with the Docker API by converting
Python function objects into the string format required by the API.
Args:
hooks: Dictionary mapping hook point names to Python function objects.
Functions should be async and follow hook signature requirements.
Returns:
Dictionary mapping hook point names to string representations of the functions.
Example:
>>> async def my_hook(page, context, **kwargs):
... await page.set_viewport_size({"width": 1920, "height": 1080})
... return page
>>>
>>> hooks_dict = {"on_page_context_created": my_hook}
>>> api_hooks = hooks_to_string(hooks_dict)
>>> # api_hooks is now ready to use with Docker API
Raises:
ValueError: If a hook is not callable or source cannot be extracted
"""
result = {}
for hook_name, hook_func in hooks.items():
if not callable(hook_func):
raise ValueError(f"Hook '{hook_name}' must be a callable function, got {type(hook_func)}")
try:
# Get the source code of the function
source = inspect.getsource(hook_func)
# Remove any leading indentation to get clean source
source = textwrap.dedent(source)
result[hook_name] = source
except (OSError, TypeError) as e:
raise ValueError(
f"Cannot extract source code for hook '{hook_name}'. "
f"Make sure the function is defined in a file (not interactively). Error: {e}"
)
return result

View File

@@ -10,7 +10,6 @@ Today I'm releasing Crawl4AI v0.7.4—the Intelligent Table Extraction & Perform
- **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables - **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
- **⚡ Enhanced Concurrency**: True concurrency improvements for fast-completing tasks in batch operations - **⚡ Enhanced Concurrency**: True concurrency improvements for fast-completing tasks in batch operations
- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
- **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation - **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
- **⌨️ Cross-Platform Browser Profiler**: Improved keyboard handling and quit mechanisms - **⌨️ Cross-Platform Browser Profiler**: Improved keyboard handling and quit mechanisms
- **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution - **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
@@ -158,40 +157,6 @@ async with AsyncWebCrawler() as crawler:
- **Monitoring Systems**: Faster health checks and status page monitoring - **Monitoring Systems**: Faster health checks and status page monitoring
- **Data Aggregation**: Improved performance for real-time data collection - **Data Aggregation**: Improved performance for real-time data collection
## 🧹 Memory Management Refactor: Cleaner Architecture
**The Problem:** Memory utilities were scattered and difficult to maintain, with potential import conflicts and unclear organization.
**My Solution:** I consolidated all memory-related utilities into the main `utils.py` module, creating a cleaner, more maintainable architecture.
### Improved Memory Handling
```python
# All memory utilities now consolidated
from crawl4ai.utils import get_true_memory_usage_percent, MemoryMonitor
# Enhanced memory monitoring
monitor = MemoryMonitor()
monitor.start_monitoring()
async with AsyncWebCrawler() as crawler:
# Memory-efficient batch processing
results = await crawler.arun_many(large_url_list)
# Get accurate memory metrics
memory_usage = get_true_memory_usage_percent()
memory_report = monitor.get_report()
print(f"Memory efficiency: {memory_report['efficiency']:.1f}%")
print(f"Peak usage: {memory_report['peak_mb']:.1f} MB")
```
**Expected Real-World Impact:**
- **Production Stability**: More reliable memory tracking and management
- **Code Maintainability**: Cleaner architecture for easier debugging
- **Import Clarity**: Resolved potential conflicts and import issues
- **Developer Experience**: Simpler API for memory monitoring
## 🔧 Critical Stability Fixes ## 🔧 Critical Stability Fixes
### Browser Manager Race Condition Resolution ### Browser Manager Race Condition Resolution

318
docs/blog/release-v0.7.5.md Normal file
View File

@@ -0,0 +1,318 @@
# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
*September 29, 2025 • 8 min read*
---
Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
## 🎯 What's New at a Glance
- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
- **Enhanced LLM Integration**: Custom providers with temperature control
- **HTTPS Preservation**: Secure internal link handling
- **Bug Fixes**: Resolved multiple community-reported issues
- **Improved Docker Error Handling**: Better debugging and reliability
## 🔧 Docker Hooks System: Pipeline Customization
Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
### Real Example: Authentication & Performance
```python
import requests
# Real working hooks for httpbin.org
hooks_config = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print("Hook: Setting up page context")
# Block images to speed up crawling
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
print("Hook: Images blocked")
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print("Hook: Before retrieving HTML")
# Scroll to bottom to load lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
print("Hook: Scrolled to bottom")
return page
""",
"before_goto": """
async def hook(page, context, url, **kwargs):
print(f"Hook: About to navigate to {url}")
# Add custom headers
await page.set_extra_http_headers({
'X-Test-Header': 'crawl4ai-hooks-test'
})
return page
"""
}
# Test with Docker API
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {
"code": hooks_config,
"timeout": 30
}
}
response = requests.post("http://localhost:11235/crawl", json=payload)
result = response.json()
if result.get('success'):
print("✅ Hooks executed successfully!")
print(f"Content length: {len(result.get('markdown', ''))} characters")
```
**Available Hook Points:**
- `on_browser_created`: Browser setup
- `on_page_context_created`: Page context configuration
- `before_goto`: Pre-navigation setup
- `after_goto`: Post-navigation processing
- `on_user_agent_updated`: User agent changes
- `on_execution_started`: Crawl initialization
- `before_retrieve_html`: Pre-extraction processing
- `before_return_html`: Final HTML processing
### Function-Based Hooks API
Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
**Option 1: Using the `hooks_to_string()` Utility**
```python
from crawl4ai import hooks_to_string
import requests
# Define hooks as regular Python functions (with full IDE support!)
async def on_page_context_created(page, context, **kwargs):
"""Block images to speed up crawling"""
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def before_goto(page, context, url, **kwargs):
"""Add custom headers"""
await page.set_extra_http_headers({
'X-Crawl4AI': 'v0.7.5',
'X-Custom-Header': 'my-value'
})
return page
# Convert functions to strings
hooks_code = hooks_to_string({
"on_page_context_created": on_page_context_created,
"before_goto": before_goto
})
# Use with REST API
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {"code": hooks_code, "timeout": 30}
}
response = requests.post("http://localhost:11235/crawl", json=payload)
```
**Option 2: Docker Client with Automatic Conversion (Recommended!)**
```python
from crawl4ai.docker_client import Crawl4aiDockerClient
# Define hooks as functions (same as above)
async def on_page_context_created(page, context, **kwargs):
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
return page
async def before_retrieve_html(page, context, **kwargs):
# Scroll to load lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
return page
# Use Docker client - conversion happens automatically!
client = Crawl4aiDockerClient(base_url="http://localhost:11235")
results = await client.crawl(
urls=["https://httpbin.org/html"],
hooks={
"on_page_context_created": on_page_context_created,
"before_retrieve_html": before_retrieve_html
},
hooks_timeout=30
)
if results and results.success:
print(f"✅ Hooks executed! HTML length: {len(results.html)}")
```
**Benefits of Function-Based Hooks:**
- ✅ Full IDE support (autocomplete, syntax highlighting)
- ✅ Type checking and linting
- ✅ Easier to test and debug
- ✅ Reusable across projects
- ✅ Automatic conversion in Docker client
- ✅ No breaking changes - string hooks still work!
## 🤖 Enhanced LLM Integration
Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
### Multi-Provider Support
```python
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
from crawl4ai.extraction_strategy import LLMExtractionStrategy
# Test with different providers
async def test_llm_providers():
# OpenAI with custom temperature
openai_strategy = LLMExtractionStrategy(
provider="gemini/gemini-2.5-flash-lite",
api_token="your-api-token",
temperature=0.7, # New in v0.7.5
instruction="Summarize this page in one sentence"
)
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(
"https://example.com",
config=CrawlerRunConfig(extraction_strategy=openai_strategy)
)
if result.success:
print("✅ LLM extraction completed")
print(result.extracted_content)
# Docker API with enhanced LLM config
llm_payload = {
"url": "https://example.com",
"f": "llm",
"q": "Summarize this page in one sentence.",
"provider": "gemini/gemini-2.5-flash-lite",
"temperature": 0.7
}
response = requests.post("http://localhost:11235/md", json=llm_payload)
```
**New Features:**
- Custom `temperature` parameter for creativity control
- `base_url` for custom API endpoints
- Multi-provider environment variable support
- Docker API integration
## 🔒 HTTPS Preservation
**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
```python
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
async def test_https_preservation():
# Enable HTTPS preservation
url_filter = URLPatternFilter(
patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
)
config = CrawlerRunConfig(
exclude_external_links=True,
preserve_https_for_internal_links=True, # New in v0.7.5
deep_crawl_strategy=BFSDeepCrawlStrategy(
max_depth=2,
max_pages=5,
filter_chain=FilterChain([url_filter])
)
)
async with AsyncWebCrawler() as crawler:
async for result in await crawler.arun(
url="https://quotes.toscrape.com",
config=config
):
# All internal links maintain HTTPS
internal_links = [link['href'] for link in result.links['internal']]
https_links = [link for link in internal_links if link.startswith('https://')]
print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
for link in https_links[:3]:
print(f"{link}")
```
## 🛠️ Bug Fixes and Improvements
### Major Fixes
- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
- **Docker Error Handling**: Comprehensive error messages with status codes
- **Memory Management**: Fixed leaks in long-running sessions
- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
### Community-Reported Issues Fixed
This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
- Fixed browser configuration reference errors
- Resolved dependency conflicts with cssselect
- Improved error messaging for failed authentications
- Enhanced compatibility with various proxy configurations
- Fixed edge cases in URL normalization
### Configuration Updates
```python
# Old proxy config (deprecated)
# browser_config = BrowserConfig(proxy="http://proxy:8080")
# New enhanced proxy config
browser_config = BrowserConfig(
proxy_config={
"server": "http://proxy:8080",
"username": "optional-user",
"password": "optional-pass"
}
)
```
## 🔄 Breaking Changes
1. **Python 3.10+ Required**: Upgrade from Python 3.9
2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
3. **New Dependency**: Added `cssselect` for better CSS handling
## 🚀 Get Started
```bash
# Install latest version
pip install crawl4ai==0.7.5
# Docker deployment
docker pull unclecode/crawl4ai:latest
docker run -p 11235:11235 unclecode/crawl4ai:latest
```
**Try the Demo:**
```bash
# Run working examples
python docs/releases_review/demo_v0.7.5.py
```
**Resources:**
- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
Happy crawling! 🕷️

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@@ -0,0 +1,522 @@
#!/usr/bin/env python3
"""
Comprehensive hooks examples using Docker Client with function objects.
This approach is recommended because:
- Write hooks as regular Python functions
- Full IDE support (autocomplete, type checking)
- Automatic conversion to API format
- Reusable and testable code
- Clean, readable syntax
"""
import asyncio
from crawl4ai import Crawl4aiDockerClient
# API_BASE_URL = "http://localhost:11235"
API_BASE_URL = "http://localhost:11234"
# ============================================================================
# Hook Function Definitions
# ============================================================================
# --- All Hooks Demo ---
async def browser_created_hook(browser, **kwargs):
"""Called after browser is created"""
print("[HOOK] Browser created and ready")
return browser
async def page_context_hook(page, context, **kwargs):
"""Setup page environment"""
print("[HOOK] Setting up page environment")
# Set viewport
await page.set_viewport_size({"width": 1920, "height": 1080})
# Add cookies
await context.add_cookies([{
"name": "test_session",
"value": "abc123xyz",
"domain": ".httpbin.org",
"path": "/"
}])
# Block resources
await context.route("**/*.{png,jpg,jpeg,gif}", lambda route: route.abort())
await context.route("**/analytics/*", lambda route: route.abort())
print("[HOOK] Environment configured")
return page
async def user_agent_hook(page, context, user_agent, **kwargs):
"""Called when user agent is updated"""
print(f"[HOOK] User agent: {user_agent[:50]}...")
return page
async def before_goto_hook(page, context, url, **kwargs):
"""Called before navigating to URL"""
print(f"[HOOK] Navigating to: {url}")
await page.set_extra_http_headers({
"X-Custom-Header": "crawl4ai-test",
"Accept-Language": "en-US"
})
return page
async def after_goto_hook(page, context, url, response, **kwargs):
"""Called after page loads"""
print(f"[HOOK] Page loaded: {url}")
await page.wait_for_timeout(1000)
try:
await page.wait_for_selector("body", timeout=2000)
print("[HOOK] Body element ready")
except:
print("[HOOK] Timeout, continuing")
return page
async def execution_started_hook(page, context, **kwargs):
"""Called when custom JS execution starts"""
print("[HOOK] JS execution started")
await page.evaluate("console.log('[HOOK] Custom JS');")
return page
async def before_retrieve_hook(page, context, **kwargs):
"""Called before retrieving HTML"""
print("[HOOK] Preparing HTML retrieval")
# Scroll for lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
await page.wait_for_timeout(500)
await page.evaluate("window.scrollTo(0, 0);")
print("[HOOK] Scrolling complete")
return page
async def before_return_hook(page, context, html, **kwargs):
"""Called before returning HTML"""
print(f"[HOOK] HTML ready: {len(html)} chars")
metrics = await page.evaluate('''() => ({
images: document.images.length,
links: document.links.length,
scripts: document.scripts.length
})''')
print(f"[HOOK] Metrics - Images: {metrics['images']}, Links: {metrics['links']}")
return page
# --- Authentication Hooks ---
async def auth_context_hook(page, context, **kwargs):
"""Setup authentication context"""
print("[HOOK] Setting up authentication")
# Add auth cookies
await context.add_cookies([{
"name": "auth_token",
"value": "fake_jwt_token",
"domain": ".httpbin.org",
"path": "/",
"httpOnly": True
}])
# Set localStorage
await page.evaluate('''
localStorage.setItem('user_id', '12345');
localStorage.setItem('auth_time', new Date().toISOString());
''')
print("[HOOK] Auth context ready")
return page
async def auth_headers_hook(page, context, url, **kwargs):
"""Add authentication headers"""
print(f"[HOOK] Adding auth headers for {url}")
import base64
credentials = base64.b64encode(b"user:passwd").decode('ascii')
await page.set_extra_http_headers({
'Authorization': f'Basic {credentials}',
'X-API-Key': 'test-key-123'
})
return page
# --- Performance Optimization Hooks ---
async def performance_hook(page, context, **kwargs):
"""Optimize page for performance"""
print("[HOOK] Optimizing for performance")
# Block resource-heavy content
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda r: r.abort())
await context.route("**/*.{woff,woff2,ttf}", lambda r: r.abort())
await context.route("**/*.{mp4,webm,ogg}", lambda r: r.abort())
await context.route("**/googletagmanager.com/*", lambda r: r.abort())
await context.route("**/google-analytics.com/*", lambda r: r.abort())
await context.route("**/facebook.com/*", lambda r: r.abort())
# Disable animations
await page.add_style_tag(content='''
*, *::before, *::after {
animation-duration: 0s !important;
transition-duration: 0s !important;
}
''')
print("[HOOK] Optimizations applied")
return page
async def cleanup_hook(page, context, **kwargs):
"""Clean page before extraction"""
print("[HOOK] Cleaning page")
await page.evaluate('''() => {
const selectors = [
'.ad', '.ads', '.advertisement',
'.popup', '.modal', '.overlay',
'.cookie-banner', '.newsletter'
];
selectors.forEach(sel => {
document.querySelectorAll(sel).forEach(el => el.remove());
});
document.querySelectorAll('script, style').forEach(el => el.remove());
}''')
print("[HOOK] Page cleaned")
return page
# --- Content Extraction Hooks ---
async def wait_dynamic_content_hook(page, context, url, response, **kwargs):
"""Wait for dynamic content to load"""
print(f"[HOOK] Waiting for dynamic content on {url}")
await page.wait_for_timeout(2000)
# Click "Load More" if exists
try:
load_more = await page.query_selector('[class*="load-more"], button:has-text("Load More")')
if load_more:
await load_more.click()
await page.wait_for_timeout(1000)
print("[HOOK] Clicked 'Load More'")
except:
pass
return page
async def extract_metadata_hook(page, context, **kwargs):
"""Extract page metadata"""
print("[HOOK] Extracting metadata")
metadata = await page.evaluate('''() => {
const getMeta = (name) => {
const el = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
return el ? el.getAttribute('content') : null;
};
return {
title: document.title,
description: getMeta('description'),
author: getMeta('author'),
keywords: getMeta('keywords'),
};
}''')
print(f"[HOOK] Metadata: {metadata}")
# Infinite scroll
for i in range(3):
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
await page.wait_for_timeout(1000)
print(f"[HOOK] Scroll {i+1}/3")
return page
# --- Multi-URL Hooks ---
async def url_specific_hook(page, context, url, **kwargs):
"""Apply URL-specific logic"""
print(f"[HOOK] Processing URL: {url}")
# URL-specific headers
if 'html' in url:
await page.set_extra_http_headers({"X-Type": "HTML"})
elif 'json' in url:
await page.set_extra_http_headers({"X-Type": "JSON"})
return page
async def track_progress_hook(page, context, url, response, **kwargs):
"""Track crawl progress"""
status = response.status if response else 'unknown'
print(f"[HOOK] Loaded {url} - Status: {status}")
return page
# ============================================================================
# Test Functions
# ============================================================================
async def test_all_hooks_comprehensive():
"""Test all 8 hook types"""
print("=" * 70)
print("Test 1: All Hooks Comprehensive Demo (Docker Client)")
print("=" * 70)
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nCrawling with all 8 hooks...")
# Define hooks with function objects
hooks = {
"on_browser_created": browser_created_hook,
"on_page_context_created": page_context_hook,
"on_user_agent_updated": user_agent_hook,
"before_goto": before_goto_hook,
"after_goto": after_goto_hook,
"on_execution_started": execution_started_hook,
"before_retrieve_html": before_retrieve_hook,
"before_return_html": before_return_hook
}
result = await client.crawl(
["https://httpbin.org/html"],
hooks=hooks,
hooks_timeout=30
)
print("\n✅ Success!")
print(f" URL: {result.url}")
print(f" Success: {result.success}")
print(f" HTML: {len(result.html)} chars")
async def test_authentication_workflow():
"""Test authentication with hooks"""
print("\n" + "=" * 70)
print("Test 2: Authentication Workflow (Docker Client)")
print("=" * 70)
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nTesting authentication...")
hooks = {
"on_page_context_created": auth_context_hook,
"before_goto": auth_headers_hook
}
result = await client.crawl(
["https://httpbin.org/basic-auth/user/passwd"],
hooks=hooks,
hooks_timeout=15
)
print("\n✅ Authentication completed")
if result.success:
if '"authenticated"' in result.html and 'true' in result.html:
print(" ✅ Basic auth successful!")
else:
print(" ⚠️ Auth status unclear")
else:
print(f" ❌ Failed: {result.error_message}")
async def test_performance_optimization():
"""Test performance optimization"""
print("\n" + "=" * 70)
print("Test 3: Performance Optimization (Docker Client)")
print("=" * 70)
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nTesting performance hooks...")
hooks = {
"on_page_context_created": performance_hook,
"before_retrieve_html": cleanup_hook
}
result = await client.crawl(
["https://httpbin.org/html"],
hooks=hooks,
hooks_timeout=10
)
print("\n✅ Optimization completed")
print(f" HTML size: {len(result.html):,} chars")
print(" Resources blocked, ads removed")
async def test_content_extraction():
"""Test content extraction"""
print("\n" + "=" * 70)
print("Test 4: Content Extraction (Docker Client)")
print("=" * 70)
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nTesting extraction hooks...")
hooks = {
"after_goto": wait_dynamic_content_hook,
"before_retrieve_html": extract_metadata_hook
}
result = await client.crawl(
["https://www.kidocode.com/"],
hooks=hooks,
hooks_timeout=20
)
print("\n✅ Extraction completed")
print(f" URL: {result.url}")
print(f" Success: {result.success}")
print(f" Metadata: {result.metadata}")
async def test_multi_url_crawl():
"""Test hooks with multiple URLs"""
print("\n" + "=" * 70)
print("Test 5: Multi-URL Crawl (Docker Client)")
print("=" * 70)
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nCrawling multiple URLs...")
hooks = {
"before_goto": url_specific_hook,
"after_goto": track_progress_hook
}
results = await client.crawl(
[
"https://httpbin.org/html",
"https://httpbin.org/json",
"https://httpbin.org/xml"
],
hooks=hooks,
hooks_timeout=15
)
print("\n✅ Multi-URL crawl completed")
print(f"\n Crawled {len(results)} URLs:")
for i, result in enumerate(results, 1):
status = "" if result.success else ""
print(f" {status} {i}. {result.url}")
async def test_reusable_hook_library():
"""Test using reusable hook library"""
print("\n" + "=" * 70)
print("Test 6: Reusable Hook Library (Docker Client)")
print("=" * 70)
# Create a library of reusable hooks
class HookLibrary:
@staticmethod
async def block_images(page, context, **kwargs):
"""Block all images"""
await context.route("**/*.{png,jpg,jpeg,gif}", lambda r: r.abort())
print("[LIBRARY] Images blocked")
return page
@staticmethod
async def block_analytics(page, context, **kwargs):
"""Block analytics"""
await context.route("**/analytics/*", lambda r: r.abort())
await context.route("**/google-analytics.com/*", lambda r: r.abort())
print("[LIBRARY] Analytics blocked")
return page
@staticmethod
async def scroll_infinite(page, context, **kwargs):
"""Handle infinite scroll"""
for i in range(5):
prev = await page.evaluate("document.body.scrollHeight")
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
await page.wait_for_timeout(1000)
curr = await page.evaluate("document.body.scrollHeight")
if curr == prev:
break
print("[LIBRARY] Infinite scroll complete")
return page
async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
print("\nUsing hook library...")
hooks = {
"on_page_context_created": HookLibrary.block_images,
"before_retrieve_html": HookLibrary.scroll_infinite
}
result = await client.crawl(
["https://www.kidocode.com/"],
hooks=hooks,
hooks_timeout=20
)
print("\n✅ Library hooks completed")
print(f" Success: {result.success}")
# ============================================================================
# Main
# ============================================================================
async def main():
"""Run all Docker client hook examples"""
print("🔧 Crawl4AI Docker Client - Hooks Examples (Function-Based)")
print("Using Python function objects with automatic conversion")
print("=" * 70)
tests = [
("All Hooks Demo", test_all_hooks_comprehensive),
("Authentication", test_authentication_workflow),
("Performance", test_performance_optimization),
("Extraction", test_content_extraction),
("Multi-URL", test_multi_url_crawl),
("Hook Library", test_reusable_hook_library)
]
for i, (name, test_func) in enumerate(tests, 1):
try:
await test_func()
print(f"\n✅ Test {i}/{len(tests)}: {name} completed\n")
except Exception as e:
print(f"\n❌ Test {i}/{len(tests)}: {name} failed: {e}\n")
import traceback
traceback.print_exc()
print("=" * 70)
print("🎉 All Docker client hook examples completed!")
print("\n💡 Key Benefits of Function-Based Hooks:")
print(" • Write as regular Python functions")
print(" • Full IDE support (autocomplete, types)")
print(" • Automatic conversion to API format")
print(" • Reusable across projects")
print(" • Clean, readable code")
print(" • Easy to test and debug")
print("=" * 70)
if __name__ == "__main__":
asyncio.run(main())

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@@ -20,17 +20,26 @@ Ever wondered why your AI coding assistant struggles with your library despite c
## Latest Release ## Latest Release
### [Crawl4AI v0.7.5 The Docker Hooks & Security Update](../blog/release-v0.7.5.md)
*September 29, 2025*
Crawl4AI v0.7.5 introduces the powerful Docker Hooks System for complete pipeline customization, enhanced LLM integration with custom providers, HTTPS preservation for modern web security, and resolves multiple community-reported issues.
Key highlights:
- **🔧 Docker Hooks System**: Custom Python functions at 8 key pipeline points for unprecedented customization
- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
- **🔒 HTTPS Preservation**: Secure internal link handling for modern web applications
- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
- **🛠️ Bug Fixes**: Resolved multiple community-reported issues including URL processing, JWT authentication, and proxy configuration
[Read full release notes →](../blog/release-v0.7.5.md)
## Recent Releases
### [Crawl4AI v0.7.4 The Intelligent Table Extraction & Performance Update](../blog/release-v0.7.4.md) ### [Crawl4AI v0.7.4 The Intelligent Table Extraction & Performance Update](../blog/release-v0.7.4.md)
*August 17, 2025* *August 17, 2025*
Crawl4AI v0.7.4 introduces revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes that make Crawl4AI more robust for production workloads. Revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes.
Key highlights:
- **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
- **⚡ Dispatcher Bug Fix**: Fixed sequential processing issue in arun_many for fast-completing tasks
- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
- **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
- **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
[Read full release notes →](../blog/release-v0.7.4.md) [Read full release notes →](../blog/release-v0.7.4.md)

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@@ -0,0 +1,318 @@
# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
*September 29, 2025 • 8 min read*
---
Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
## 🎯 What's New at a Glance
- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
- **Enhanced LLM Integration**: Custom providers with temperature control
- **HTTPS Preservation**: Secure internal link handling
- **Bug Fixes**: Resolved multiple community-reported issues
- **Improved Docker Error Handling**: Better debugging and reliability
## 🔧 Docker Hooks System: Pipeline Customization
Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
### Real Example: Authentication & Performance
```python
import requests
# Real working hooks for httpbin.org
hooks_config = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print("Hook: Setting up page context")
# Block images to speed up crawling
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
print("Hook: Images blocked")
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print("Hook: Before retrieving HTML")
# Scroll to bottom to load lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
print("Hook: Scrolled to bottom")
return page
""",
"before_goto": """
async def hook(page, context, url, **kwargs):
print(f"Hook: About to navigate to {url}")
# Add custom headers
await page.set_extra_http_headers({
'X-Test-Header': 'crawl4ai-hooks-test'
})
return page
"""
}
# Test with Docker API
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {
"code": hooks_config,
"timeout": 30
}
}
response = requests.post("http://localhost:11235/crawl", json=payload)
result = response.json()
if result.get('success'):
print("✅ Hooks executed successfully!")
print(f"Content length: {len(result.get('markdown', ''))} characters")
```
**Available Hook Points:**
- `on_browser_created`: Browser setup
- `on_page_context_created`: Page context configuration
- `before_goto`: Pre-navigation setup
- `after_goto`: Post-navigation processing
- `on_user_agent_updated`: User agent changes
- `on_execution_started`: Crawl initialization
- `before_retrieve_html`: Pre-extraction processing
- `before_return_html`: Final HTML processing
### Function-Based Hooks API
Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
**Option 1: Using the `hooks_to_string()` Utility**
```python
from crawl4ai import hooks_to_string
import requests
# Define hooks as regular Python functions (with full IDE support!)
async def on_page_context_created(page, context, **kwargs):
"""Block images to speed up crawling"""
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def before_goto(page, context, url, **kwargs):
"""Add custom headers"""
await page.set_extra_http_headers({
'X-Crawl4AI': 'v0.7.5',
'X-Custom-Header': 'my-value'
})
return page
# Convert functions to strings
hooks_code = hooks_to_string({
"on_page_context_created": on_page_context_created,
"before_goto": before_goto
})
# Use with REST API
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {"code": hooks_code, "timeout": 30}
}
response = requests.post("http://localhost:11235/crawl", json=payload)
```
**Option 2: Docker Client with Automatic Conversion (Recommended!)**
```python
from crawl4ai.docker_client import Crawl4aiDockerClient
# Define hooks as functions (same as above)
async def on_page_context_created(page, context, **kwargs):
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
return page
async def before_retrieve_html(page, context, **kwargs):
# Scroll to load lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
return page
# Use Docker client - conversion happens automatically!
client = Crawl4aiDockerClient(base_url="http://localhost:11235")
results = await client.crawl(
urls=["https://httpbin.org/html"],
hooks={
"on_page_context_created": on_page_context_created,
"before_retrieve_html": before_retrieve_html
},
hooks_timeout=30
)
if results and results.success:
print(f"✅ Hooks executed! HTML length: {len(results.html)}")
```
**Benefits of Function-Based Hooks:**
- ✅ Full IDE support (autocomplete, syntax highlighting)
- ✅ Type checking and linting
- ✅ Easier to test and debug
- ✅ Reusable across projects
- ✅ Automatic conversion in Docker client
- ✅ No breaking changes - string hooks still work!
## 🤖 Enhanced LLM Integration
Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
### Multi-Provider Support
```python
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
from crawl4ai.extraction_strategy import LLMExtractionStrategy
# Test with different providers
async def test_llm_providers():
# OpenAI with custom temperature
openai_strategy = LLMExtractionStrategy(
provider="gemini/gemini-2.5-flash-lite",
api_token="your-api-token",
temperature=0.7, # New in v0.7.5
instruction="Summarize this page in one sentence"
)
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(
"https://example.com",
config=CrawlerRunConfig(extraction_strategy=openai_strategy)
)
if result.success:
print("✅ LLM extraction completed")
print(result.extracted_content)
# Docker API with enhanced LLM config
llm_payload = {
"url": "https://example.com",
"f": "llm",
"q": "Summarize this page in one sentence.",
"provider": "gemini/gemini-2.5-flash-lite",
"temperature": 0.7
}
response = requests.post("http://localhost:11235/md", json=llm_payload)
```
**New Features:**
- Custom `temperature` parameter for creativity control
- `base_url` for custom API endpoints
- Multi-provider environment variable support
- Docker API integration
## 🔒 HTTPS Preservation
**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
```python
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
async def test_https_preservation():
# Enable HTTPS preservation
url_filter = URLPatternFilter(
patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
)
config = CrawlerRunConfig(
exclude_external_links=True,
preserve_https_for_internal_links=True, # New in v0.7.5
deep_crawl_strategy=BFSDeepCrawlStrategy(
max_depth=2,
max_pages=5,
filter_chain=FilterChain([url_filter])
)
)
async with AsyncWebCrawler() as crawler:
async for result in await crawler.arun(
url="https://quotes.toscrape.com",
config=config
):
# All internal links maintain HTTPS
internal_links = [link['href'] for link in result.links['internal']]
https_links = [link for link in internal_links if link.startswith('https://')]
print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
for link in https_links[:3]:
print(f"{link}")
```
## 🛠️ Bug Fixes and Improvements
### Major Fixes
- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
- **Docker Error Handling**: Comprehensive error messages with status codes
- **Memory Management**: Fixed leaks in long-running sessions
- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
### Community-Reported Issues Fixed
This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
- Fixed browser configuration reference errors
- Resolved dependency conflicts with cssselect
- Improved error messaging for failed authentications
- Enhanced compatibility with various proxy configurations
- Fixed edge cases in URL normalization
### Configuration Updates
```python
# Old proxy config (deprecated)
# browser_config = BrowserConfig(proxy="http://proxy:8080")
# New enhanced proxy config
browser_config = BrowserConfig(
proxy_config={
"server": "http://proxy:8080",
"username": "optional-user",
"password": "optional-pass"
}
)
```
## 🔄 Breaking Changes
1. **Python 3.10+ Required**: Upgrade from Python 3.9
2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
3. **New Dependency**: Added `cssselect` for better CSS handling
## 🚀 Get Started
```bash
# Install latest version
pip install crawl4ai==0.7.5
# Docker deployment
docker pull unclecode/crawl4ai:latest
docker run -p 11235:11235 unclecode/crawl4ai:latest
```
**Try the Demo:**
```bash
# Run working examples
python docs/releases_review/demo_v0.7.5.py
```
**Resources:**
- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
Happy crawling! 🕷️

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View File

@@ -6,18 +6,6 @@
- [Option 1: Using Pre-built Docker Hub Images (Recommended)](#option-1-using-pre-built-docker-hub-images-recommended) - [Option 1: Using Pre-built Docker Hub Images (Recommended)](#option-1-using-pre-built-docker-hub-images-recommended)
- [Option 2: Using Docker Compose](#option-2-using-docker-compose) - [Option 2: Using Docker Compose](#option-2-using-docker-compose)
- [Option 3: Manual Local Build & Run](#option-3-manual-local-build--run) - [Option 3: Manual Local Build & Run](#option-3-manual-local-build--run)
- [Dockerfile Parameters](#dockerfile-parameters)
- [Using the API](#using-the-api)
- [Playground Interface](#playground-interface)
- [Python SDK](#python-sdk)
- [Understanding Request Schema](#understanding-request-schema)
- [REST API Examples](#rest-api-examples)
- [Additional API Endpoints](#additional-api-endpoints)
- [HTML Extraction Endpoint](#html-extraction-endpoint)
- [Screenshot Endpoint](#screenshot-endpoint)
- [PDF Export Endpoint](#pdf-export-endpoint)
- [JavaScript Execution Endpoint](#javascript-execution-endpoint)
- [Library Context Endpoint](#library-context-endpoint)
- [MCP (Model Context Protocol) Support](#mcp-model-context-protocol-support) - [MCP (Model Context Protocol) Support](#mcp-model-context-protocol-support)
- [What is MCP?](#what-is-mcp) - [What is MCP?](#what-is-mcp)
- [Connecting via MCP](#connecting-via-mcp) - [Connecting via MCP](#connecting-via-mcp)
@@ -25,9 +13,28 @@
- [Available MCP Tools](#available-mcp-tools) - [Available MCP Tools](#available-mcp-tools)
- [Testing MCP Connections](#testing-mcp-connections) - [Testing MCP Connections](#testing-mcp-connections)
- [MCP Schemas](#mcp-schemas) - [MCP Schemas](#mcp-schemas)
- [Additional API Endpoints](#additional-api-endpoints)
- [HTML Extraction Endpoint](#html-extraction-endpoint)
- [Screenshot Endpoint](#screenshot-endpoint)
- [PDF Export Endpoint](#pdf-export-endpoint)
- [JavaScript Execution Endpoint](#javascript-execution-endpoint)
- [User-Provided Hooks API](#user-provided-hooks-api)
- [Hook Information Endpoint](#hook-information-endpoint)
- [Available Hook Points](#available-hook-points)
- [Using Hooks in Requests](#using-hooks-in-requests)
- [Hook Examples with Real URLs](#hook-examples-with-real-urls)
- [Security Best Practices](#security-best-practices)
- [Hook Response Information](#hook-response-information)
- [Error Handling](#error-handling)
- [Hooks Utility: Function-Based Approach (Python)](#hooks-utility-function-based-approach-python)
- [Dockerfile Parameters](#dockerfile-parameters)
- [Using the API](#using-the-api)
- [Playground Interface](#playground-interface)
- [Python SDK](#python-sdk)
- [Understanding Request Schema](#understanding-request-schema)
- [REST API Examples](#rest-api-examples)
- [LLM Configuration Examples](#llm-configuration-examples)
- [Metrics & Monitoring](#metrics--monitoring) - [Metrics & Monitoring](#metrics--monitoring)
- [Deployment Scenarios](#deployment-scenarios)
- [Complete Examples](#complete-examples)
- [Server Configuration](#server-configuration) - [Server Configuration](#server-configuration)
- [Understanding config.yml](#understanding-configyml) - [Understanding config.yml](#understanding-configyml)
- [JWT Authentication](#jwt-authentication) - [JWT Authentication](#jwt-authentication)
@@ -832,6 +839,275 @@ else:
> 💡 **Remember**: Always test your hooks on safe, known websites first before using them on production sites. Never crawl sites that you don't have permission to access or that might be malicious. > 💡 **Remember**: Always test your hooks on safe, known websites first before using them on production sites. Never crawl sites that you don't have permission to access or that might be malicious.
### Hooks Utility: Function-Based Approach (Python)
For Python developers, Crawl4AI provides a more convenient way to work with hooks using the `hooks_to_string()` utility function and Docker client integration.
#### Why Use Function-Based Hooks?
**String-Based Approach (shown above)**:
```python
hooks_code = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
"""
}
```
**Function-Based Approach (recommended for Python)**:
```python
from crawl4ai import Crawl4aiDockerClient
async def my_hook(page, context, **kwargs):
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async with Crawl4aiDockerClient(base_url="http://localhost:11235") as client:
result = await client.crawl(
["https://example.com"],
hooks={"on_page_context_created": my_hook}
)
```
**Benefits**:
- ✅ Write hooks as regular Python functions
- ✅ Full IDE support (autocomplete, syntax highlighting, type checking)
- ✅ Easy to test and debug
- ✅ Reusable hook libraries
- ✅ Automatic conversion to API format
#### Using the Hooks Utility
The `hooks_to_string()` utility converts Python function objects to the string format required by the API:
```python
from crawl4ai import hooks_to_string
# Define your hooks as functions
async def setup_hook(page, context, **kwargs):
await page.set_viewport_size({"width": 1920, "height": 1080})
await context.add_cookies([{
"name": "session",
"value": "token",
"domain": ".example.com"
}])
return page
async def scroll_hook(page, context, **kwargs):
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
return page
# Convert to string format
hooks_dict = {
"on_page_context_created": setup_hook,
"before_retrieve_html": scroll_hook
}
hooks_string = hooks_to_string(hooks_dict)
# Now use with REST API or Docker client
# hooks_string contains the string representations
```
#### Docker Client with Automatic Conversion
The Docker client automatically detects and converts function objects:
```python
from crawl4ai import Crawl4aiDockerClient
async def auth_hook(page, context, **kwargs):
"""Add authentication cookies"""
await context.add_cookies([{
"name": "auth_token",
"value": "your_token",
"domain": ".example.com"
}])
return page
async def performance_hook(page, context, **kwargs):
"""Block unnecessary resources"""
await context.route("**/*.{png,jpg,gif}", lambda r: r.abort())
await context.route("**/analytics/*", lambda r: r.abort())
return page
async with Crawl4aiDockerClient(base_url="http://localhost:11235") as client:
# Pass functions directly - automatic conversion!
result = await client.crawl(
["https://example.com"],
hooks={
"on_page_context_created": performance_hook,
"before_goto": auth_hook
},
hooks_timeout=30 # Optional timeout in seconds (1-120)
)
print(f"Success: {result.success}")
print(f"HTML: {len(result.html)} chars")
```
#### Creating Reusable Hook Libraries
Build collections of reusable hooks:
```python
# hooks_library.py
class CrawlHooks:
"""Reusable hook collection for common crawling tasks"""
@staticmethod
async def block_images(page, context, **kwargs):
"""Block all images to speed up crawling"""
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda r: r.abort())
return page
@staticmethod
async def block_analytics(page, context, **kwargs):
"""Block analytics and tracking scripts"""
tracking_domains = [
"**/google-analytics.com/*",
"**/googletagmanager.com/*",
"**/facebook.com/tr/*",
"**/doubleclick.net/*"
]
for domain in tracking_domains:
await context.route(domain, lambda r: r.abort())
return page
@staticmethod
async def scroll_infinite(page, context, **kwargs):
"""Handle infinite scroll to load more content"""
previous_height = 0
for i in range(5): # Max 5 scrolls
current_height = await page.evaluate("document.body.scrollHeight")
if current_height == previous_height:
break
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
previous_height = current_height
return page
@staticmethod
async def wait_for_dynamic_content(page, context, url, response, **kwargs):
"""Wait for dynamic content to load"""
await page.wait_for_timeout(2000)
try:
# Click "Load More" if present
load_more = await page.query_selector('[class*="load-more"]')
if load_more:
await load_more.click()
await page.wait_for_timeout(1000)
except:
pass
return page
# Use in your application
from hooks_library import CrawlHooks
from crawl4ai import Crawl4aiDockerClient
async def crawl_with_optimizations(url):
async with Crawl4aiDockerClient() as client:
result = await client.crawl(
[url],
hooks={
"on_page_context_created": CrawlHooks.block_images,
"before_retrieve_html": CrawlHooks.scroll_infinite
}
)
return result
```
#### Choosing the Right Approach
| Approach | Best For | IDE Support | Language |
|----------|----------|-------------|----------|
| **String-based** | Non-Python clients, REST APIs, other languages | ❌ None | Any |
| **Function-based** | Python applications, local development | ✅ Full | Python only |
| **Docker Client** | Python apps with automatic conversion | ✅ Full | Python only |
**Recommendation**:
- **Python applications**: Use Docker client with function objects (easiest)
- **Non-Python or REST API**: Use string-based hooks (most flexible)
- **Manual control**: Use `hooks_to_string()` utility (middle ground)
#### Complete Example with Function Hooks
```python
from crawl4ai import Crawl4aiDockerClient, BrowserConfig, CrawlerRunConfig, CacheMode
# Define hooks as regular Python functions
async def setup_environment(page, context, **kwargs):
"""Setup crawling environment"""
# Set viewport
await page.set_viewport_size({"width": 1920, "height": 1080})
# Block resources for speed
await context.route("**/*.{png,jpg,gif}", lambda r: r.abort())
# Add custom headers
await page.set_extra_http_headers({
"Accept-Language": "en-US",
"X-Custom-Header": "Crawl4AI"
})
print("[HOOK] Environment configured")
return page
async def extract_content(page, context, **kwargs):
"""Extract and prepare content"""
# Scroll to load lazy content
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
# Extract metadata
metadata = await page.evaluate('''() => ({
title: document.title,
links: document.links.length,
images: document.images.length
})''')
print(f"[HOOK] Page metadata: {metadata}")
return page
async def main():
async with Crawl4aiDockerClient(base_url="http://localhost:11235", verbose=True) as client:
# Configure crawl
browser_config = BrowserConfig(headless=True)
crawler_config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
# Crawl with hooks
result = await client.crawl(
["https://httpbin.org/html"],
browser_config=browser_config,
crawler_config=crawler_config,
hooks={
"on_page_context_created": setup_environment,
"before_retrieve_html": extract_content
},
hooks_timeout=30
)
if result.success:
print(f"✅ Crawl successful!")
print(f" URL: {result.url}")
print(f" HTML: {len(result.html)} chars")
print(f" Markdown: {len(result.markdown)} chars")
else:
print(f"❌ Crawl failed: {result.error_message}")
if __name__ == "__main__":
import asyncio
asyncio.run(main())
```
#### Additional Resources
- **Comprehensive Examples**: See `/docs/examples/hooks_docker_client_example.py` for Python function-based examples
- **REST API Examples**: See `/docs/examples/hooks_rest_api_example.py` for string-based examples
- **Comparison Guide**: See `/docs/examples/README_HOOKS.md` for detailed comparison
- **Utility Documentation**: See `/docs/hooks-utility-guide.md` for complete guide
--- ---
## Dockerfile Parameters ## Dockerfile Parameters
@@ -892,10 +1168,12 @@ This is the easiest way to translate Python configuration to JSON requests when
Install the SDK: `pip install crawl4ai` Install the SDK: `pip install crawl4ai`
The Python SDK provides a convenient way to interact with the Docker API, including **automatic hook conversion** when using function objects.
```python ```python
import asyncio import asyncio
from crawl4ai.docker_client import Crawl4aiDockerClient from crawl4ai.docker_client import Crawl4aiDockerClient
from crawl4ai import BrowserConfig, CrawlerRunConfig, CacheMode # Assuming you have crawl4ai installed from crawl4ai import BrowserConfig, CrawlerRunConfig, CacheMode
async def main(): async def main():
# Point to the correct server port # Point to the correct server port
@@ -907,23 +1185,22 @@ async def main():
print("--- Running Non-Streaming Crawl ---") print("--- Running Non-Streaming Crawl ---")
results = await client.crawl( results = await client.crawl(
["https://httpbin.org/html"], ["https://httpbin.org/html"],
browser_config=BrowserConfig(headless=True), # Use library classes for config aid browser_config=BrowserConfig(headless=True),
crawler_config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS) crawler_config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
) )
if results: # client.crawl returns None on failure if results:
print(f"Non-streaming results success: {results.success}") print(f"Non-streaming results success: {results.success}")
if results.success: if results.success:
for result in results: # Iterate through the CrawlResultContainer for result in results:
print(f"URL: {result.url}, Success: {result.success}") print(f"URL: {result.url}, Success: {result.success}")
else: else:
print("Non-streaming crawl failed.") print("Non-streaming crawl failed.")
# Example Streaming crawl # Example Streaming crawl
print("\n--- Running Streaming Crawl ---") print("\n--- Running Streaming Crawl ---")
stream_config = CrawlerRunConfig(stream=True, cache_mode=CacheMode.BYPASS) stream_config = CrawlerRunConfig(stream=True, cache_mode=CacheMode.BYPASS)
try: try:
async for result in await client.crawl( # client.crawl returns an async generator for streaming async for result in await client.crawl(
["https://httpbin.org/html", "https://httpbin.org/links/5/0"], ["https://httpbin.org/html", "https://httpbin.org/links/5/0"],
browser_config=BrowserConfig(headless=True), browser_config=BrowserConfig(headless=True),
crawler_config=stream_config crawler_config=stream_config
@@ -932,17 +1209,56 @@ async def main():
except Exception as e: except Exception as e:
print(f"Streaming crawl failed: {e}") print(f"Streaming crawl failed: {e}")
# Example with hooks (Python function objects)
print("\n--- Crawl with Hooks ---")
async def my_hook(page, context, **kwargs):
"""Custom hook to optimize performance"""
await page.set_viewport_size({"width": 1920, "height": 1080})
await context.route("**/*.{png,jpg}", lambda r: r.abort())
print("[HOOK] Page optimized")
return page
result = await client.crawl(
["https://httpbin.org/html"],
browser_config=BrowserConfig(headless=True),
crawler_config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS),
hooks={"on_page_context_created": my_hook}, # Pass function directly!
hooks_timeout=30
)
print(f"Crawl with hooks success: {result.success}")
# Example Get schema # Example Get schema
print("\n--- Getting Schema ---") print("\n--- Getting Schema ---")
schema = await client.get_schema() schema = await client.get_schema()
print(f"Schema received: {bool(schema)}") # Print whether schema was received print(f"Schema received: {bool(schema)}")
if __name__ == "__main__": if __name__ == "__main__":
asyncio.run(main()) asyncio.run(main())
``` ```
*(SDK parameters like timeout, verify_ssl etc. remain the same)* #### SDK Parameters
The Docker client supports the following parameters:
**Client Initialization**:
- `base_url` (str): URL of the Docker server (default: `http://localhost:8000`)
- `timeout` (float): Request timeout in seconds (default: 30.0)
- `verify_ssl` (bool): Verify SSL certificates (default: True)
- `verbose` (bool): Enable verbose logging (default: True)
- `log_file` (Optional[str]): Path to log file (default: None)
**crawl() Method**:
- `urls` (List[str]): List of URLs to crawl
- `browser_config` (Optional[BrowserConfig]): Browser configuration
- `crawler_config` (Optional[CrawlerRunConfig]): Crawler configuration
- `hooks` (Optional[Dict]): Hook functions or strings - **automatically converts function objects!**
- `hooks_timeout` (int): Timeout for each hook execution in seconds (default: 30)
**Returns**:
- Single URL: `CrawlResult` object
- Multiple URLs: `List[CrawlResult]`
- Streaming: `AsyncGenerator[CrawlResult]`
### Second Approach: Direct API Calls ### Second Approach: Direct API Calls
@@ -1352,19 +1668,40 @@ We're here to help you succeed with Crawl4AI! Here's how to get support:
In this guide, we've covered everything you need to get started with Crawl4AI's Docker deployment: In this guide, we've covered everything you need to get started with Crawl4AI's Docker deployment:
- Building and running the Docker container - Building and running the Docker container
- Configuring the environment - Configuring the environment
- Using the interactive playground for testing - Using the interactive playground for testing
- Making API requests with proper typing - Making API requests with proper typing
- Using the Python SDK - Using the Python SDK with **automatic hook conversion**
- **Working with hooks** - both string-based (REST API) and function-based (Python SDK)
- Leveraging specialized endpoints for screenshots, PDFs, and JavaScript execution - Leveraging specialized endpoints for screenshots, PDFs, and JavaScript execution
- Connecting via the Model Context Protocol (MCP) - Connecting via the Model Context Protocol (MCP)
- Monitoring your deployment - Monitoring your deployment
The new playground interface at `http://localhost:11235/playground` makes it much easier to test configurations and generate the corresponding JSON for API requests. ### Key Features
For AI application developers, the MCP integration allows tools like Claude Code to directly access Crawl4AI's capabilities without complex API handling. **Hooks Support**: Crawl4AI offers two approaches for working with hooks:
- **String-based** (REST API): Works with any language, requires manual string formatting
- **Function-based** (Python SDK): Write hooks as regular Python functions with full IDE support and automatic conversion
Remember, the examples in the `examples` folder are your friends - they show real-world usage patterns that you can adapt for your needs. **Playground Interface**: The built-in playground at `http://localhost:11235/playground` makes it easy to test configurations and generate corresponding JSON for API requests.
**MCP Integration**: For AI application developers, the MCP integration allows tools like Claude Code to directly access Crawl4AI's capabilities without complex API handling.
### Next Steps
1. **Explore Examples**: Check out the comprehensive examples in:
- `/docs/examples/hooks_docker_client_example.py` - Python function-based hooks
- `/docs/examples/hooks_rest_api_example.py` - REST API string-based hooks
- `/docs/examples/README_HOOKS.md` - Comparison and guide
2. **Read Documentation**:
- `/docs/hooks-utility-guide.md` - Complete hooks utility guide
- API documentation for detailed configuration options
3. **Join the Community**:
- GitHub: Report issues and contribute
- Discord: Get help and share your experiences
- Documentation: Comprehensive guides and tutorials
Keep exploring, and don't hesitate to reach out if you need help! We're building something amazing together. 🚀 Keep exploring, and don't hesitate to reach out if you need help! We're building something amazing together. 🚀

View File

@@ -59,6 +59,27 @@ Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant
> **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com). > **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
## 🆕 AI Assistant Skill Now Available!
<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 20px; border-radius: 10px; margin: 20px 0; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
<h3 style="color: white; margin: 0 0 10px 0;">🤖 Crawl4AI Skill for Claude & AI Assistants</h3>
<p style="color: white; margin: 10px 0;">Supercharge your AI coding assistant with complete Crawl4AI knowledge! Download our comprehensive skill package that includes:</p>
<ul style="color: white; margin: 10px 0;">
<li>📚 Complete SDK reference (23K+ words)</li>
<li>🚀 Ready-to-use extraction scripts</li>
<li>⚡ Schema generation for efficient scraping</li>
<li>🔧 Version 0.7.4 compatible</li>
</ul>
<div style="text-align: center; margin-top: 15px;">
<a href="assets/crawl4ai-skill.zip" download style="background: white; color: #667eea; padding: 12px 30px; border-radius: 5px; text-decoration: none; font-weight: bold; display: inline-block; transition: transform 0.2s;">
📦 Download Skill Package
</a>
</div>
<p style="color: white; margin: 15px 0 0 0; font-size: 0.9em; text-align: center;">
Works with Claude, Cursor, Windsurf, and other AI coding assistants. Import the .zip file into your AI assistant's skill/knowledge system.
</p>
</div>
## 🎯 New: Adaptive Web Crawling ## 🎯 New: Adaptive Web Crawling
Crawl4AI now features intelligent adaptive crawling that knows when to stop! Using advanced information foraging algorithms, it determines when sufficient information has been gathered to answer your query. Crawl4AI now features intelligent adaptive crawling that knows when to stop! Using advanced information foraging algorithms, it determines when sufficient information has been gathered to answer your query.

View File

@@ -0,0 +1,338 @@
"""
🚀 Crawl4AI v0.7.5 Release Demo - Working Examples
==================================================
This demo showcases key features introduced in v0.7.5 with real, executable examples.
Featured Demos:
1. ✅ Docker Hooks System - Real API calls with custom hooks (string & function-based)
2. ✅ Enhanced LLM Integration - Working LLM configurations
3. ✅ HTTPS Preservation - Live crawling with HTTPS maintenance
Requirements:
- crawl4ai v0.7.5 installed
- Docker running with crawl4ai image (optional for Docker demos)
- Valid API keys for LLM demos (optional)
"""
import asyncio
import requests
import time
import sys
from crawl4ai import (AsyncWebCrawler, CrawlerRunConfig, BrowserConfig,
CacheMode, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy,
hooks_to_string)
from crawl4ai.docker_client import Crawl4aiDockerClient
def print_section(title: str, description: str = ""):
"""Print a section header"""
print(f"\n{'=' * 60}")
print(f"{title}")
if description:
print(f"{description}")
print(f"{'=' * 60}\n")
async def demo_1_docker_hooks_system():
"""Demo 1: Docker Hooks System - Real API calls with custom hooks"""
print_section(
"Demo 1: Docker Hooks System",
"Testing both string-based and function-based hooks (NEW in v0.7.5!)"
)
# Check Docker service availability
def check_docker_service():
try:
response = requests.get("http://localhost:11235/", timeout=3)
return response.status_code == 200
except:
return False
print("Checking Docker service...")
docker_running = check_docker_service()
if not docker_running:
print("⚠️ Docker service not running on localhost:11235")
print("To test Docker hooks:")
print("1. Run: docker run -p 11235:11235 unclecode/crawl4ai:latest")
print("2. Wait for service to start")
print("3. Re-run this demo\n")
return
print("✓ Docker service detected!")
# ============================================================================
# PART 1: Traditional String-Based Hooks (Works with REST API)
# ============================================================================
print("\n" + "" * 60)
print("Part 1: String-Based Hooks (REST API)")
print("" * 60)
hooks_config_string = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print("[String Hook] Setting up page context")
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print("[String Hook] Before retrieving HTML")
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
return page
"""
}
payload = {
"urls": ["https://httpbin.org/html"],
"hooks": {
"code": hooks_config_string,
"timeout": 30
}
}
print("🔧 Using string-based hooks for REST API...")
try:
start_time = time.time()
response = requests.post("http://localhost:11235/crawl", json=payload, timeout=60)
execution_time = time.time() - start_time
if response.status_code == 200:
result = response.json()
print(f"✅ String-based hooks executed in {execution_time:.2f}s")
if result.get('results') and result['results'][0].get('success'):
html_length = len(result['results'][0].get('html', ''))
print(f" 📄 HTML length: {html_length} characters")
else:
print(f"❌ Request failed: {response.status_code}")
except Exception as e:
print(f"❌ Error: {str(e)}")
# ============================================================================
# PART 2: NEW Function-Based Hooks with Docker Client (v0.7.5)
# ============================================================================
print("\n" + "" * 60)
print("Part 2: Function-Based Hooks with Docker Client (✨ NEW!)")
print("" * 60)
# Define hooks as regular Python functions
async def on_page_context_created_func(page, context, **kwargs):
"""Block images to speed up crawling"""
print("[Function Hook] Setting up page context")
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def before_goto_func(page, context, url, **kwargs):
"""Add custom headers before navigation"""
print(f"[Function Hook] About to navigate to {url}")
await page.set_extra_http_headers({
'X-Crawl4AI': 'v0.7.5-function-hooks',
'X-Test-Header': 'demo'
})
return page
async def before_retrieve_html_func(page, context, **kwargs):
"""Scroll to load lazy content"""
print("[Function Hook] Scrolling page for lazy-loaded content")
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(500)
await page.evaluate("window.scrollTo(0, 0)")
return page
# Use the hooks_to_string utility (can be used standalone)
print("\n📦 Converting functions to strings with hooks_to_string()...")
hooks_as_strings = hooks_to_string({
"on_page_context_created": on_page_context_created_func,
"before_goto": before_goto_func,
"before_retrieve_html": before_retrieve_html_func
})
print(f" ✓ Converted {len(hooks_as_strings)} hooks to string format")
# OR use Docker Client which does conversion automatically!
print("\n🐳 Using Docker Client with automatic conversion...")
try:
client = Crawl4aiDockerClient(base_url="http://localhost:11235")
# Pass function objects directly - conversion happens automatically!
results = await client.crawl(
urls=["https://httpbin.org/html"],
hooks={
"on_page_context_created": on_page_context_created_func,
"before_goto": before_goto_func,
"before_retrieve_html": before_retrieve_html_func
},
hooks_timeout=30
)
if results and results.success:
print(f"✅ Function-based hooks executed successfully!")
print(f" 📄 HTML length: {len(results.html)} characters")
print(f" 🎯 URL: {results.url}")
else:
print("⚠️ Crawl completed but may have warnings")
except Exception as e:
print(f"❌ Docker client error: {str(e)}")
# Show the benefits
print("\n" + "=" * 60)
print("✨ Benefits of Function-Based Hooks:")
print("=" * 60)
print("✓ Full IDE support (autocomplete, syntax highlighting)")
print("✓ Type checking and linting")
print("✓ Easier to test and debug")
print("✓ Reusable across projects")
print("✓ Automatic conversion in Docker client")
print("=" * 60)
async def demo_2_enhanced_llm_integration():
"""Demo 2: Enhanced LLM Integration - Working LLM configurations"""
print_section(
"Demo 2: Enhanced LLM Integration",
"Testing custom LLM providers and configurations"
)
print("🤖 Testing Enhanced LLM Integration Features")
provider = "gemini/gemini-2.5-flash-lite"
payload = {
"url": "https://example.com",
"f": "llm",
"q": "Summarize this page in one sentence.",
"provider": provider, # Explicitly set provider
"temperature": 0.7
}
try:
response = requests.post(
"http://localhost:11235/md",
json=payload,
timeout=60
)
if response.status_code == 200:
result = response.json()
print(f"✓ Request successful with provider: {provider}")
print(f" - Response keys: {list(result.keys())}")
print(f" - Content length: {len(result.get('markdown', ''))} characters")
print(f" - Note: Actual LLM call may fail without valid API key")
else:
print(f"❌ Request failed: {response.status_code}")
print(f" - Response: {response.text[:500]}")
except Exception as e:
print(f"[red]Error: {e}[/]")
async def demo_3_https_preservation():
"""Demo 3: HTTPS Preservation - Live crawling with HTTPS maintenance"""
print_section(
"Demo 3: HTTPS Preservation",
"Testing HTTPS preservation for internal links"
)
print("🔒 Testing HTTPS Preservation Feature")
# Test with HTTPS preservation enabled
print("\nTest 1: HTTPS Preservation ENABLED")
url_filter = URLPatternFilter(
patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
)
config = CrawlerRunConfig(
exclude_external_links=True,
stream=True,
verbose=False,
preserve_https_for_internal_links=True,
deep_crawl_strategy=BFSDeepCrawlStrategy(
max_depth=2,
max_pages=5,
filter_chain=FilterChain([url_filter])
)
)
test_url = "https://quotes.toscrape.com"
print(f"🎯 Testing URL: {test_url}")
async with AsyncWebCrawler() as crawler:
async for result in await crawler.arun(url=test_url, config=config):
print("✓ HTTPS Preservation Test Completed")
internal_links = [i['href'] for i in result.links['internal']]
for link in internal_links:
print(f"{link}")
async def main():
"""Run all demos"""
print("\n" + "=" * 60)
print("🚀 Crawl4AI v0.7.5 Working Demo")
print("=" * 60)
# Check system requirements
print("🔍 System Requirements Check:")
print(f" - Python version: {sys.version.split()[0]} {'' if sys.version_info >= (3, 10) else '❌ (3.10+ required)'}")
try:
import requests
print(f" - Requests library: ✓")
except ImportError:
print(f" - Requests library: ❌")
print()
demos = [
("Docker Hooks System", demo_1_docker_hooks_system),
("Enhanced LLM Integration", demo_2_enhanced_llm_integration),
("HTTPS Preservation", demo_3_https_preservation),
]
for i, (name, demo_func) in enumerate(demos, 1):
try:
print(f"\n📍 Starting Demo {i}/{len(demos)}: {name}")
await demo_func()
if i < len(demos):
print(f"\n✨ Demo {i} complete! Press Enter for next demo...")
input()
except KeyboardInterrupt:
print(f"\n⏹️ Demo interrupted by user")
break
except Exception as e:
print(f"❌ Demo {i} error: {str(e)}")
print("Continuing to next demo...")
continue
print("\n" + "=" * 60)
print("🎉 Demo Complete!")
print("=" * 60)
print("You've experienced the power of Crawl4AI v0.7.5!")
print("")
print("Key Features Demonstrated:")
print("🔧 Docker Hooks - String-based & function-based (NEW!)")
print(" • hooks_to_string() utility for function conversion")
print(" • Docker client with automatic conversion")
print(" • Full IDE support and type checking")
print("🤖 Enhanced LLM - Better AI integration")
print("🔒 HTTPS Preservation - Secure link handling")
print("")
print("Ready to build something amazing? 🚀")
print("")
print("📖 Docs: https://docs.crawl4ai.com/")
print("🐙 GitHub: https://github.com/unclecode/crawl4ai")
print("=" * 60)
if __name__ == "__main__":
print("🚀 Crawl4AI v0.7.5 Live Demo Starting...")
print("Press Ctrl+C anytime to exit\n")
try:
asyncio.run(main())
except KeyboardInterrupt:
print("\n👋 Demo stopped by user. Thanks for trying Crawl4AI v0.7.5!")
except Exception as e:
print(f"\n❌ Demo error: {str(e)}")
print("Make sure you have the required dependencies installed.")

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@@ -0,0 +1,655 @@
#!/usr/bin/env python3
"""
🚀 Crawl4AI v0.7.5 - Docker Hooks System Complete Demonstration
================================================================
This file demonstrates the NEW Docker Hooks System introduced in v0.7.5.
The Docker Hooks System is a completely NEW feature that provides pipeline
customization through user-provided Python functions. It offers three approaches:
1. String-based hooks for REST API
2. hooks_to_string() utility to convert functions
3. Docker Client with automatic conversion (most convenient)
All three approaches are part of this NEW v0.7.5 feature!
Perfect for video recording and demonstration purposes.
Requirements:
- Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
- crawl4ai v0.7.5 installed: pip install crawl4ai==0.7.5
"""
import asyncio
import requests
import json
import time
from typing import Dict, Any
# Import Crawl4AI components
from crawl4ai import hooks_to_string
from crawl4ai.docker_client import Crawl4aiDockerClient
# Configuration
DOCKER_URL = "http://localhost:11235"
# DOCKER_URL = "http://localhost:11234"
TEST_URLS = [
# "https://httpbin.org/html",
"https://www.kidocode.com",
"https://quotes.toscrape.com",
]
def print_section(title: str, description: str = ""):
"""Print a formatted section header"""
print("\n" + "=" * 70)
print(f" {title}")
if description:
print(f" {description}")
print("=" * 70 + "\n")
def check_docker_service() -> bool:
"""Check if Docker service is running"""
try:
response = requests.get(f"{DOCKER_URL}/health", timeout=3)
return response.status_code == 200
except:
return False
# ============================================================================
# REUSABLE HOOK LIBRARY (NEW in v0.7.5)
# ============================================================================
async def performance_optimization_hook(page, context, **kwargs):
"""
Performance Hook: Block unnecessary resources to speed up crawling
"""
print(" [Hook] 🚀 Optimizing performance - blocking images and ads...")
# Block images
await context.route(
"**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
lambda route: route.abort()
)
# Block ads and analytics
await context.route("**/analytics/*", lambda route: route.abort())
await context.route("**/ads/*", lambda route: route.abort())
await context.route("**/google-analytics.com/*", lambda route: route.abort())
print(" [Hook] ✓ Performance optimization applied")
return page
async def viewport_setup_hook(page, context, **kwargs):
"""
Viewport Hook: Set consistent viewport size for rendering
"""
print(" [Hook] 🖥️ Setting viewport to 1920x1080...")
await page.set_viewport_size({"width": 1920, "height": 1080})
print(" [Hook] ✓ Viewport configured")
return page
async def authentication_headers_hook(page, context, url, **kwargs):
"""
Headers Hook: Add custom authentication and tracking headers
"""
print(f" [Hook] 🔐 Adding custom headers for {url[:50]}...")
await page.set_extra_http_headers({
'X-Crawl4AI-Version': '0.7.5',
'X-Custom-Hook': 'function-based-demo',
'Accept-Language': 'en-US,en;q=0.9',
'User-Agent': 'Crawl4AI/0.7.5 (Educational Demo)'
})
print(" [Hook] ✓ Custom headers added")
return page
async def lazy_loading_handler_hook(page, context, **kwargs):
"""
Content Hook: Handle lazy-loaded content by scrolling
"""
print(" [Hook] 📜 Scrolling to load lazy content...")
# Scroll to bottom
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
# Scroll to middle
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
await page.wait_for_timeout(500)
# Scroll back to top
await page.evaluate("window.scrollTo(0, 0)")
await page.wait_for_timeout(500)
print(" [Hook] ✓ Lazy content loaded")
return page
async def page_analytics_hook(page, context, **kwargs):
"""
Analytics Hook: Log page metrics before extraction
"""
print(" [Hook] 📊 Collecting page analytics...")
metrics = await page.evaluate('''
() => ({
title: document.title,
images: document.images.length,
links: document.links.length,
scripts: document.scripts.length,
headings: document.querySelectorAll('h1, h2, h3').length,
paragraphs: document.querySelectorAll('p').length
})
''')
print(f" [Hook] 📈 Page: {metrics['title'][:50]}...")
print(f" Links: {metrics['links']}, Images: {metrics['images']}, "
f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
return page
# ============================================================================
# DEMO 1: String-Based Hooks (NEW Docker Hooks System)
# ============================================================================
def demo_1_string_based_hooks():
"""
Demonstrate string-based hooks with REST API (part of NEW Docker Hooks System)
"""
print_section(
"DEMO 1: String-Based Hooks (REST API)",
"Part of the NEW Docker Hooks System - hooks as strings"
)
# Define hooks as strings
hooks_config = {
"on_page_context_created": """
async def hook(page, context, **kwargs):
print(" [String Hook] Setting up page context...")
# Block images for performance
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
""",
"before_goto": """
async def hook(page, context, url, **kwargs):
print(f" [String Hook] Navigating to {url[:50]}...")
await page.set_extra_http_headers({
'X-Crawl4AI': 'string-based-hooks',
'X-Demo': 'v0.7.5'
})
return page
""",
"before_retrieve_html": """
async def hook(page, context, **kwargs):
print(" [String Hook] Scrolling page...")
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
return page
"""
}
# Prepare request payload
payload = {
"urls": [TEST_URLS[0]],
"hooks": {
"code": hooks_config,
"timeout": 30
},
"crawler_config": {
"cache_mode": "bypass"
}
}
print(f"🎯 Target URL: {TEST_URLS[0]}")
print(f"🔧 Configured {len(hooks_config)} string-based hooks")
print(f"📡 Sending request to Docker API...\n")
try:
start_time = time.time()
response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
execution_time = time.time() - start_time
if response.status_code == 200:
result = response.json()
print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
# Display results
if result.get('results') and result['results'][0].get('success'):
crawl_result = result['results'][0]
html_length = len(crawl_result.get('html', ''))
markdown_length = len(crawl_result.get('markdown', ''))
print(f"\n📊 Results:")
print(f" • HTML length: {html_length:,} characters")
print(f" • Markdown length: {markdown_length:,} characters")
print(f" • URL: {crawl_result.get('url')}")
# Check hooks execution
if 'hooks' in result:
hooks_info = result['hooks']
print(f"\n🎣 Hooks Execution:")
print(f" • Status: {hooks_info['status']['status']}")
print(f" • Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
if 'summary' in hooks_info:
summary = hooks_info['summary']
print(f" • Total executions: {summary['total_executions']}")
print(f" • Successful: {summary['successful']}")
print(f" • Success rate: {summary['success_rate']:.1f}%")
else:
print(f"⚠️ Crawl completed but no results")
else:
print(f"❌ Request failed with status {response.status_code}")
print(f" Error: {response.text[:200]}")
except requests.exceptions.Timeout:
print("⏰ Request timed out after 60 seconds")
except Exception as e:
print(f"❌ Error: {str(e)}")
print("\n" + "" * 70)
print("✓ String-based hooks demo complete\n")
# ============================================================================
# DEMO 2: Function-Based Hooks with hooks_to_string() Utility
# ============================================================================
def demo_2_hooks_to_string_utility():
"""
Demonstrate the new hooks_to_string() utility for converting functions
"""
print_section(
"DEMO 2: hooks_to_string() Utility (NEW! ✨)",
"Convert Python functions to strings for REST API"
)
print("📦 Creating hook functions...")
print(" • performance_optimization_hook")
print(" • viewport_setup_hook")
print(" • authentication_headers_hook")
print(" • lazy_loading_handler_hook")
# Convert function objects to strings using the NEW utility
print("\n🔄 Converting functions to strings with hooks_to_string()...")
hooks_dict = {
"on_page_context_created": performance_optimization_hook,
"before_goto": authentication_headers_hook,
"before_retrieve_html": lazy_loading_handler_hook,
}
hooks_as_strings = hooks_to_string(hooks_dict)
print(f"✅ Successfully converted {len(hooks_as_strings)} functions to strings")
# Show a preview
print("\n📝 Sample converted hook (first 250 characters):")
print("" * 70)
sample_hook = list(hooks_as_strings.values())[0]
print(sample_hook[:250] + "...")
print("" * 70)
# Use the converted hooks with REST API
print("\n📡 Using converted hooks with REST API...")
payload = {
"urls": [TEST_URLS[0]],
"hooks": {
"code": hooks_as_strings,
"timeout": 30
}
}
try:
start_time = time.time()
response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
execution_time = time.time() - start_time
if response.status_code == 200:
result = response.json()
print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
if result.get('results') and result['results'][0].get('success'):
crawl_result = result['results'][0]
print(f" • HTML length: {len(crawl_result.get('html', '')):,} characters")
print(f" • Hooks executed successfully!")
else:
print(f"❌ Request failed: {response.status_code}")
except Exception as e:
print(f"❌ Error: {str(e)}")
print("\n💡 Benefits of hooks_to_string():")
print(" ✓ Write hooks as regular Python functions")
print(" ✓ Full IDE support (autocomplete, syntax highlighting)")
print(" ✓ Type checking and linting")
print(" ✓ Easy to test and debug")
print(" ✓ Reusable across projects")
print(" ✓ Works with any REST API client")
print("\n" + "" * 70)
print("✓ hooks_to_string() utility demo complete\n")
# ============================================================================
# DEMO 3: Docker Client with Automatic Conversion (RECOMMENDED! 🌟)
# ============================================================================
async def demo_3_docker_client_auto_conversion():
"""
Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
"""
print_section(
"DEMO 3: Docker Client with Auto-Conversion (RECOMMENDED! 🌟)",
"Pass function objects directly - conversion happens automatically!"
)
print("🐳 Initializing Crawl4AI Docker Client...")
client = Crawl4aiDockerClient(base_url=DOCKER_URL)
print("✅ Client ready!\n")
# Use our reusable hook library - just pass the function objects!
print("📚 Using reusable hook library:")
print(" • performance_optimization_hook")
print(" • viewport_setup_hook")
print(" • authentication_headers_hook")
print(" • lazy_loading_handler_hook")
print(" • page_analytics_hook")
print("\n🎯 Target URL: " + TEST_URLS[1])
print("🚀 Starting crawl with automatic hook conversion...\n")
try:
start_time = time.time()
# Pass function objects directly - NO manual conversion needed! ✨
results = await client.crawl(
urls=[TEST_URLS[0]],
hooks={
"on_page_context_created": performance_optimization_hook,
"before_goto": authentication_headers_hook,
"before_retrieve_html": lazy_loading_handler_hook,
"before_return_html": page_analytics_hook,
},
hooks_timeout=30
)
execution_time = time.time() - start_time
print(f"\n✅ Crawl completed! (took {execution_time:.2f}s)\n")
# Display results
if results and results.success:
result = results
print(f"📊 Results:")
print(f" • URL: {result.url}")
print(f" • Success: {result.success}")
print(f" • HTML length: {len(result.html):,} characters")
print(f" • Markdown length: {len(result.markdown):,} characters")
# Show metadata
if result.metadata:
print(f"\n📋 Metadata:")
print(f" • Title: {result.metadata.get('title', 'N/A')}")
print(f" • Description: {result.metadata.get('description', 'N/A')}")
# Show links
if result.links:
internal_count = len(result.links.get('internal', []))
external_count = len(result.links.get('external', []))
print(f"\n🔗 Links Found:")
print(f" • Internal: {internal_count}")
print(f" • External: {external_count}")
else:
print(f"⚠️ Crawl completed but no successful results")
if results:
print(f" Error: {results.error_message}")
except Exception as e:
print(f"❌ Error: {str(e)}")
import traceback
traceback.print_exc()
print("\n🌟 Why Docker Client is RECOMMENDED:")
print(" ✓ Automatic function-to-string conversion")
print(" ✓ No manual hooks_to_string() calls needed")
print(" ✓ Cleaner, more Pythonic code")
print(" ✓ Full type hints and IDE support")
print(" ✓ Built-in error handling")
print(" ✓ Async/await support")
print("\n" + "" * 70)
print("✓ Docker Client auto-conversion demo complete\n")
# ============================================================================
# DEMO 4: Advanced Use Case - Complete Hook Pipeline
# ============================================================================
async def demo_4_complete_hook_pipeline():
"""
Demonstrate a complete hook pipeline using all 8 hook points
"""
print_section(
"DEMO 4: Complete Hook Pipeline",
"Using all 8 available hook points for comprehensive control"
)
# Define all 8 hooks
async def on_browser_created_hook(browser, **kwargs):
"""Hook 1: Called after browser is created"""
print(" [Pipeline] 1/8 Browser created")
return browser
async def on_page_context_created_hook(page, context, **kwargs):
"""Hook 2: Called after page context is created"""
print(" [Pipeline] 2/8 Page context created - setting up...")
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def on_user_agent_updated_hook(page, context, user_agent, **kwargs):
"""Hook 3: Called when user agent is updated"""
print(f" [Pipeline] 3/8 User agent updated: {user_agent[:50]}...")
return page
async def before_goto_hook(page, context, url, **kwargs):
"""Hook 4: Called before navigating to URL"""
print(f" [Pipeline] 4/8 Before navigation to: {url[:60]}...")
return page
async def after_goto_hook(page, context, url, response, **kwargs):
"""Hook 5: Called after navigation completes"""
print(f" [Pipeline] 5/8 After navigation - Status: {response.status if response else 'N/A'}")
await page.wait_for_timeout(1000)
return page
async def on_execution_started_hook(page, context, **kwargs):
"""Hook 6: Called when JavaScript execution starts"""
print(" [Pipeline] 6/8 JavaScript execution started")
return page
async def before_retrieve_html_hook(page, context, **kwargs):
"""Hook 7: Called before retrieving HTML"""
print(" [Pipeline] 7/8 Before HTML retrieval - scrolling...")
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
return page
async def before_return_html_hook(page, context, html, **kwargs):
"""Hook 8: Called before returning HTML"""
print(f" [Pipeline] 8/8 Before return - HTML length: {len(html):,} chars")
return page
print("🎯 Target URL: " + TEST_URLS[0])
print("🔧 Configured ALL 8 hook points for complete pipeline control\n")
client = Crawl4aiDockerClient(base_url=DOCKER_URL)
try:
print("🚀 Starting complete pipeline crawl...\n")
start_time = time.time()
results = await client.crawl(
urls=[TEST_URLS[0]],
hooks={
"on_browser_created": on_browser_created_hook,
"on_page_context_created": on_page_context_created_hook,
"on_user_agent_updated": on_user_agent_updated_hook,
"before_goto": before_goto_hook,
"after_goto": after_goto_hook,
"on_execution_started": on_execution_started_hook,
"before_retrieve_html": before_retrieve_html_hook,
"before_return_html": before_return_html_hook,
},
hooks_timeout=45
)
execution_time = time.time() - start_time
if results and results.success:
print(f"\n✅ Complete pipeline executed successfully! (took {execution_time:.2f}s)")
print(f" • All 8 hooks executed in sequence")
print(f" • HTML length: {len(results.html):,} characters")
else:
print(f"⚠️ Pipeline completed with warnings")
except Exception as e:
print(f"❌ Error: {str(e)}")
print("\n📚 Available Hook Points:")
print(" 1. on_browser_created - Browser initialization")
print(" 2. on_page_context_created - Page context setup")
print(" 3. on_user_agent_updated - User agent configuration")
print(" 4. before_goto - Pre-navigation setup")
print(" 5. after_goto - Post-navigation processing")
print(" 6. on_execution_started - JavaScript execution start")
print(" 7. before_retrieve_html - Pre-extraction processing")
print(" 8. before_return_html - Final HTML processing")
print("\n" + "" * 70)
print("✓ Complete hook pipeline demo complete\n")
# ============================================================================
# MAIN EXECUTION
# ============================================================================
async def main():
"""
Run all demonstrations
"""
print("\n" + "=" * 70)
print(" 🚀 Crawl4AI v0.7.5 - Docker Hooks Complete Demonstration")
print("=" * 70)
# Check Docker service
print("\n🔍 Checking Docker service status...")
if not check_docker_service():
print("❌ Docker service is not running!")
print("\n📋 To start the Docker service:")
print(" docker run -p 11235:11235 unclecode/crawl4ai:latest")
print("\nPlease start the service and run this demo again.")
return
print("✅ Docker service is running!\n")
# Run all demos
demos = [
("String-Based Hooks (REST API)", demo_1_string_based_hooks, False),
("hooks_to_string() Utility", demo_2_hooks_to_string_utility, False),
("Docker Client Auto-Conversion", demo_3_docker_client_auto_conversion, True),
# ("Complete Hook Pipeline", demo_4_complete_hook_pipeline, True),
]
for i, (name, demo_func, is_async) in enumerate(demos, 1):
print(f"\n{'🔷' * 35}")
print(f"Starting Demo {i}/{len(demos)}: {name}")
print(f"{'🔷' * 35}\n")
try:
if is_async:
await demo_func()
else:
demo_func()
print(f"✅ Demo {i} completed successfully!")
# Pause between demos (except the last one)
if i < len(demos):
print("\n⏸️ Press Enter to continue to next demo...")
# input()
except KeyboardInterrupt:
print(f"\n⏹️ Demo interrupted by user")
break
except Exception as e:
print(f"\n❌ Demo {i} failed: {str(e)}")
import traceback
traceback.print_exc()
print("\nContinuing to next demo...\n")
continue
# Final summary
print("\n" + "=" * 70)
print(" 🎉 All Demonstrations Complete!")
print("=" * 70)
print("\n📊 Summary of v0.7.5 Docker Hooks System:")
print("\n🆕 COMPLETELY NEW FEATURE in v0.7.5:")
print(" The Docker Hooks System lets you customize the crawling pipeline")
print(" with user-provided Python functions at 8 strategic points.")
print("\n✨ Three Ways to Use Docker Hooks (All NEW!):")
print(" 1. String-based - Write hooks as strings for REST API")
print(" 2. hooks_to_string() - Convert Python functions to strings")
print(" 3. Docker Client - Automatic conversion (RECOMMENDED)")
print("\n💡 Key Benefits:")
print(" ✓ Full IDE support (autocomplete, syntax highlighting)")
print(" ✓ Type checking and linting")
print(" ✓ Easy to test and debug")
print(" ✓ Reusable across projects")
print(" ✓ Complete pipeline control")
print("\n🎯 8 Hook Points Available:")
print(" • on_browser_created, on_page_context_created")
print(" • on_user_agent_updated, before_goto, after_goto")
print(" • on_execution_started, before_retrieve_html, before_return_html")
print("\n📚 Resources:")
print(" • Docs: https://docs.crawl4ai.com")
print(" • GitHub: https://github.com/unclecode/crawl4ai")
print(" • Discord: https://discord.gg/jP8KfhDhyN")
print("\n" + "=" * 70)
print(" Happy Crawling with v0.7.5! 🕷️")
print("=" * 70 + "\n")
if __name__ == "__main__":
print("\n🎬 Starting Crawl4AI v0.7.5 Docker Hooks Demonstration...")
print("Press Ctrl+C anytime to exit\n")
try:
asyncio.run(main())
except KeyboardInterrupt:
print("\n\n👋 Demo stopped by user. Thanks for exploring Crawl4AI v0.7.5!")
except Exception as e:
print(f"\n\n❌ Demo error: {str(e)}")
import traceback
traceback.print_exc()

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View File

@@ -7,6 +7,7 @@ docs_dir: docs/md_v2
nav: nav:
- Home: 'index.md' - Home: 'index.md'
- "📚 Complete SDK Reference": "complete-sdk-reference.md"
- "Ask AI": "core/ask-ai.md" - "Ask AI": "core/ask-ai.md"
- "Quick Start": "core/quickstart.md" - "Quick Start": "core/quickstart.md"
- "Code Examples": "core/examples.md" - "Code Examples": "core/examples.md"

View File

@@ -0,0 +1,193 @@
"""
Test script demonstrating the hooks_to_string utility and Docker client integration.
"""
import asyncio
from crawl4ai import Crawl4aiDockerClient, hooks_to_string
# Define hook functions as regular Python functions
async def auth_hook(page, context, **kwargs):
"""Add authentication cookies."""
await context.add_cookies([{
'name': 'test_cookie',
'value': 'test_value',
'domain': '.httpbin.org',
'path': '/'
}])
return page
async def scroll_hook(page, context, **kwargs):
"""Scroll to load lazy content."""
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(1000)
return page
async def viewport_hook(page, context, **kwargs):
"""Set custom viewport."""
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
async def test_hooks_utility():
"""Test the hooks_to_string utility function."""
print("=" * 60)
print("Testing hooks_to_string utility")
print("=" * 60)
# Create hooks dictionary with function objects
hooks_dict = {
"on_page_context_created": auth_hook,
"before_retrieve_html": scroll_hook
}
# Convert to string format
hooks_string = hooks_to_string(hooks_dict)
print("\n✓ Successfully converted function objects to strings")
print(f"\n✓ Converted {len(hooks_string)} hooks:")
for hook_name in hooks_string.keys():
print(f" - {hook_name}")
print("\n✓ Preview of converted hook:")
print("-" * 60)
print(hooks_string["on_page_context_created"][:200] + "...")
print("-" * 60)
return hooks_string
async def test_docker_client_with_functions():
"""Test Docker client with function objects (automatic conversion)."""
print("\n" + "=" * 60)
print("Testing Docker Client with Function Objects")
print("=" * 60)
# Note: This requires a running Crawl4AI Docker server
# Uncomment the following to test with actual server:
async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
# Pass function objects directly - they'll be converted automatically
result = await client.crawl(
["https://httpbin.org/html"],
hooks={
"on_page_context_created": auth_hook,
"before_retrieve_html": scroll_hook
},
hooks_timeout=30
)
print(f"\n✓ Crawl successful: {result.success}")
print(f"✓ URL: {result.url}")
print("\n✓ Docker client accepts function objects directly")
print("✓ Automatic conversion happens internally")
print("✓ No manual string formatting needed!")
async def test_docker_client_with_strings():
"""Test Docker client with pre-converted strings."""
print("\n" + "=" * 60)
print("Testing Docker Client with String Hooks")
print("=" * 60)
# Convert hooks to strings first
hooks_dict = {
"on_page_context_created": viewport_hook,
"before_retrieve_html": scroll_hook
}
hooks_string = hooks_to_string(hooks_dict)
# Note: This requires a running Crawl4AI Docker server
# Uncomment the following to test with actual server:
async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
# Pass string hooks - they'll be used as-is
result = await client.crawl(
["https://httpbin.org/html"],
hooks=hooks_string,
hooks_timeout=30
)
print(f"\n✓ Crawl successful: {result.success}")
print("\n✓ Docker client also accepts pre-converted strings")
print("✓ Backward compatible with existing code")
async def show_usage_patterns():
"""Show different usage patterns."""
print("\n" + "=" * 60)
print("Usage Patterns")
print("=" * 60)
print("\n1. Direct function usage (simplest):")
print("-" * 60)
print("""
async def my_hook(page, context, **kwargs):
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
result = await client.crawl(
["https://example.com"],
hooks={"on_page_context_created": my_hook}
)
""")
print("\n2. Convert then use:")
print("-" * 60)
print("""
hooks_dict = {"on_page_context_created": my_hook}
hooks_string = hooks_to_string(hooks_dict)
result = await client.crawl(
["https://example.com"],
hooks=hooks_string
)
""")
print("\n3. Manual string (backward compatible):")
print("-" * 60)
print("""
hooks_string = {
"on_page_context_created": '''
async def hook(page, context, **kwargs):
await page.set_viewport_size({"width": 1920, "height": 1080})
return page
'''
}
result = await client.crawl(
["https://example.com"],
hooks=hooks_string
)
""")
async def main():
"""Run all tests."""
print("\n🚀 Crawl4AI Hooks Utility Test Suite\n")
# Test the utility function
# await test_hooks_utility()
# Show usage with Docker client
# await test_docker_client_with_functions()
await test_docker_client_with_strings()
# Show different patterns
# await show_usage_patterns()
# print("\n" + "=" * 60)
# print("✓ All tests completed successfully!")
# print("=" * 60)
# print("\nKey Benefits:")
# print(" • Write hooks as regular Python functions")
# print(" • IDE support with autocomplete and type checking")
# print(" • Automatic conversion to API format")
# print(" • Backward compatible with string hooks")
# print(" • Same utility used everywhere")
# print("\n")
if __name__ == "__main__":
asyncio.run(main())