Release v0.8.0: Crash Recovery, Prefetch Mode & Security Fixes (#1712)
* Fix: Use correct URL variable for raw HTML extraction (#1116) - Prevents full HTML content from being passed as URL to extraction strategies - Added unit tests to verify raw HTML and regular URL processing Fix: Wrong URL variable used for extraction of raw html * Fix #1181: Preserve whitespace in code blocks during HTML scraping The remove_empty_elements_fast() method was removing whitespace-only span elements inside <pre> and <code> tags, causing import statements like "import torch" to become "importtorch". Now skips elements inside code blocks where whitespace is significant. * Refactor Pydantic model configuration to use ConfigDict for arbitrary types * Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621 * Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638 * fix: ensure BrowserConfig.to_dict serializes proxy_config * feat: make LLM backoff configurable end-to-end - extend LLMConfig with backoff delay/attempt/factor fields and thread them through LLMExtractionStrategy, LLMContentFilter, table extraction, and Docker API handlers - expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff and document them in the md_v2 guides * reproduced AttributeError from #1642 * pass timeout parameter to docker client request * added missing deep crawling objects to init * generalized query in ContentRelevanceFilter to be a str or list * import modules from enhanceable deserialization * parameterized tests * Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268 * refactor: replace PyPDF2 with pypdf across the codebase. ref #1412 * Add browser_context_id and target_id parameters to BrowserConfig Enable Crawl4AI to connect to pre-created CDP browser contexts, which is essential for cloud browser services that pre-create isolated contexts. Changes: - Add browser_context_id and target_id parameters to BrowserConfig - Update from_kwargs() and to_dict() methods - Modify BrowserManager.start() to use existing context when provided - Add _get_page_by_target_id() helper method - Update get_page() to handle pre-existing targets - Add test for browser_context_id functionality This enables cloud services to: 1. Create isolated CDP contexts before Crawl4AI connects 2. Pass context/target IDs to BrowserConfig 3. Have Crawl4AI reuse existing contexts instead of creating new ones * Add cdp_cleanup_on_close flag to prevent memory leaks in cloud/server scenarios * Fix: add cdp_cleanup_on_close to from_kwargs * Fix: find context by target_id for concurrent CDP connections * Fix: use target_id to find correct page in get_page * Fix: use CDP to find context by browserContextId for concurrent sessions * Revert context matching attempts - Playwright cannot see CDP-created contexts * Add create_isolated_context flag for concurrent CDP crawls When True, forces creation of a new browser context instead of reusing the default context. Essential for concurrent crawls on the same browser to prevent navigation conflicts. * Add context caching to create_isolated_context branch Uses contexts_by_config cache (same as non-CDP mode) to reuse contexts for multiple URLs with same config. Still creates new page per crawl for navigation isolation. Benefits batch/deep crawls. * Add init_scripts support to BrowserConfig for pre-page-load JS injection This adds the ability to inject JavaScript that runs before any page loads, useful for stealth evasions (canvas/audio fingerprinting, userAgentData). - Add init_scripts parameter to BrowserConfig (list of JS strings) - Apply init_scripts in setup_context() via context.add_init_script() - Update from_kwargs() and to_dict() for serialization * Fix CDP connection handling: support WS URLs and proper cleanup Changes to browser_manager.py: 1. _verify_cdp_ready(): Support multiple URL formats - WebSocket URLs (ws://, wss://): Skip HTTP verification, Playwright handles directly - HTTP URLs with query params: Properly parse with urlparse to preserve query string - Fixes issue where naive f"{cdp_url}/json/version" broke WS URLs and query params 2. close(): Proper cleanup when cdp_cleanup_on_close=True - Close all sessions (pages) - Close all contexts - Call browser.close() to disconnect (doesn't terminate browser, just releases connection) - Wait 1 second for CDP connection to fully release - Stop Playwright instance to prevent memory leaks This enables: - Connecting to specific browsers via WS URL - Reusing the same browser with multiple sequential connections - No user wait needed between connections (internal 1s delay handles it) Added tests/browser/test_cdp_cleanup_reuse.py with comprehensive tests. * Update gitignore * Some debugging for caching * Add _generate_screenshot_from_html for raw: and file:// URLs Implements the missing method that was being called but never defined. Now raw: and file:// URLs can generate screenshots by: 1. Loading HTML into a browser page via page.set_content() 2. Taking screenshot using existing take_screenshot() method 3. Cleaning up the page afterward This enables cached HTML to be rendered with screenshots in crawl4ai-cloud. * Add PDF and MHTML support for raw: and file:// URLs - Replace _generate_screenshot_from_html with _generate_media_from_html - New method handles screenshot, PDF, and MHTML in one browser session - Update raw: and file:// URL handlers to use new method - Enables cached HTML to generate all media types * Add crash recovery for deep crawl strategies Add optional resume_state and on_state_change parameters to all deep crawl strategies (BFS, DFS, Best-First) for cloud deployment crash recovery. Features: - resume_state: Pass saved state to resume from checkpoint - on_state_change: Async callback fired after each URL for real-time state persistence to external storage (Redis, DB, etc.) - export_state(): Get last captured state manually - Zero overhead when features are disabled (None defaults) State includes visited URLs, pending queue/stack, depths, and pages_crawled count. All state is JSON-serializable. * Fix: HTTP strategy raw: URL parsing truncates at # character The AsyncHTTPCrawlerStrategy.crawl() method used urlparse() to extract content from raw: URLs. This caused HTML with CSS color codes like #eee to be truncated because # is treated as a URL fragment delimiter. Before: raw:body{background:#eee} -> parsed.path = 'body{background:' After: raw:body{background:#eee} -> raw_content = 'body{background:#eee' Fix: Strip the raw: or raw:// prefix directly instead of using urlparse, matching how the browser strategy handles it. * Add base_url parameter to CrawlerRunConfig for raw HTML processing When processing raw: HTML (e.g., from cache), the URL parameter is meaningless for markdown link resolution. This adds a base_url parameter that can be set explicitly to provide proper URL resolution context. Changes: - Add base_url parameter to CrawlerRunConfig.__init__ - Add base_url to CrawlerRunConfig.from_kwargs - Update aprocess_html to use base_url for markdown generation Usage: config = CrawlerRunConfig(base_url='https://example.com') result = await crawler.arun(url='raw:{html}', config=config) * Add prefetch mode for two-phase deep crawling - Add `prefetch` parameter to CrawlerRunConfig - Add `quick_extract_links()` function for fast link extraction - Add short-circuit in aprocess_html() for prefetch mode - Add 42 tests (unit, integration, regression) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Updates on proxy rotation and proxy configuration * Add proxy support to HTTP crawler strategy * Add browser pipeline support for raw:/file:// URLs - Add process_in_browser parameter to CrawlerRunConfig - Route raw:/file:// URLs through _crawl_web() when browser operations needed - Use page.set_content() instead of goto() for local content - Fix cookie handling for non-HTTP URLs in browser_manager - Auto-detect browser requirements: js_code, wait_for, screenshot, etc. - Maintain fast path for raw:/file:// without browser params Fixes #310 * Add smart TTL cache for sitemap URL seeder - Add cache_ttl_hours and validate_sitemap_lastmod params to SeedingConfig - New JSON cache format with metadata (version, created_at, lastmod, url_count) - Cache validation by TTL expiry and sitemap lastmod comparison - Auto-migration from old .jsonl to new .json format - Fixes bug where incomplete cache was used indefinitely * Update URL seeder docs with smart TTL cache parameters - Add cache_ttl_hours and validate_sitemap_lastmod to parameter table - Document smart TTL cache validation with examples - Add cache-related troubleshooting entries - Update key features summary * Add MEMORY.md to gitignore * Docs: Add multi-sample schema generation section Add documentation explaining how to pass multiple HTML samples to generate_schema() for stable selectors that work across pages with varying DOM structures. Includes: - Problem explanation (fragile nth-child selectors) - Solution with code example - Key points for multi-sample queries - Comparison table of fragile vs stable selectors * Fix critical RCE and LFI vulnerabilities in Docker API deployment Security fixes for vulnerabilities reported by ProjectDiscovery: 1. Remote Code Execution via Hooks (CVE pending) - Remove __import__ from allowed_builtins in hook_manager.py - Prevents arbitrary module imports (os, subprocess, etc.) - Hooks now disabled by default via CRAWL4AI_HOOKS_ENABLED env var 2. Local File Inclusion via file:// URLs (CVE pending) - Add URL scheme validation to /execute_js, /screenshot, /pdf, /html - Block file://, javascript:, data: and other dangerous schemes - Only allow http://, https://, and raw: (where appropriate) 3. Security hardening - Add CRAWL4AI_HOOKS_ENABLED=false as default (opt-in for hooks) - Add security warning comments in config.yml - Add validate_url_scheme() helper for consistent validation Testing: - Add unit tests (test_security_fixes.py) - 16 tests - Add integration tests (run_security_tests.py) for live server Affected endpoints: - POST /crawl (hooks disabled by default) - POST /crawl/stream (hooks disabled by default) - POST /execute_js (URL validation added) - POST /screenshot (URL validation added) - POST /pdf (URL validation added) - POST /html (URL validation added) Breaking changes: - Hooks require CRAWL4AI_HOOKS_ENABLED=true to function - file:// URLs no longer work on API endpoints (use library directly) * Enhance authentication flow by implementing JWT token retrieval and adding authorization headers to API requests * Add release notes for v0.7.9, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates * Add release notes for v0.8.0, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates Documentation for v0.8.0 release: - SECURITY.md: Security policy and vulnerability reporting guidelines - RELEASE_NOTES_v0.8.0.md: Comprehensive release notes - migration/v0.8.0-upgrade-guide.md: Step-by-step migration guide - security/GHSA-DRAFT-RCE-LFI.md: GitHub security advisory drafts - CHANGELOG.md: Updated with v0.8.0 changes Breaking changes documented: - Docker API hooks disabled by default (CRAWL4AI_HOOKS_ENABLED) - file:// URLs blocked on Docker API endpoints Security fixes credited to Neo by ProjectDiscovery * Add examples for deep crawl crash recovery and prefetch mode in documentation * Release v0.8.0: The v0.8.0 Update - Updated version to 0.8.0 - Added comprehensive demo and release notes - Updated all documentation * Update security researcher acknowledgment with a hyperlink for Neo by ProjectDiscovery * Add async agenerate_schema method for schema generation - Extract prompt building to shared _build_schema_prompt() method - Add agenerate_schema() async version using aperform_completion_with_backoff - Refactor generate_schema() to use shared prompt builder - Fixes Gemini/Vertex AI compatibility in async contexts (FastAPI) * Fix: Enable litellm.drop_params for O-series/GPT-5 model compatibility O-series (o1, o3) and GPT-5 models only support temperature=1. Setting litellm.drop_params=True auto-drops unsupported parameters instead of throwing UnsupportedParamsError. Fixes temperature=0.01 error for these models in LLM extraction. --------- Co-authored-by: rbushria <rbushri@gmail.com> Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com> Co-authored-by: Soham Kukreti <kukretisoham@gmail.com> Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com> Co-authored-by: unclecode <unclecode@kidocode.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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docs/migration/v0.8.0-upgrade-guide.md
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# Migration Guide: Upgrading to Crawl4AI v0.8.0
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This guide helps you upgrade from v0.7.x to v0.8.0, with special attention to breaking changes and security updates.
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## Quick Summary
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| Change | Impact | Action Required |
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|--------|--------|-----------------|
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| Hooks disabled by default | Docker API users with hooks | Set `CRAWL4AI_HOOKS_ENABLED=true` |
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| file:// URLs blocked | Docker API users reading local files | Use Python library directly |
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| Security fixes | All Docker API users | Update immediately |
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---
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## Step 1: Update the Package
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### PyPI Installation
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```bash
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pip install --upgrade crawl4ai
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```
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### Docker Installation
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```bash
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docker pull unclecode/crawl4ai:latest
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# or
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docker pull unclecode/crawl4ai:0.8.0
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```
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### From Source
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```bash
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git pull origin main
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pip install -e .
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```
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---
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## Step 2: Check for Breaking Changes
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### Are You Affected?
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**You ARE affected if you:**
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- Use the Docker API deployment
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- Use the `hooks` parameter in `/crawl` requests
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- Use `file://` URLs via API endpoints
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**You are NOT affected if you:**
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- Only use Crawl4AI as a Python library
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- Don't use hooks in your API calls
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- Don't use `file://` URLs via the API
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---
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## Step 3: Migrate Hooks Usage
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### Before v0.8.0
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Hooks worked by default:
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```bash
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# This worked without any configuration
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curl -X POST http://localhost:11235/crawl \
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-H "Content-Type: application/json" \
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-d '{
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"urls": ["https://example.com"],
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"hooks": {
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"code": {
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"on_page_context_created": "async def hook(page, context, **kwargs):\n await context.add_cookies([...])\n return page"
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}
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}
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}'
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```
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### After v0.8.0
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You must explicitly enable hooks:
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**Option A: Environment Variable (Recommended)**
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```bash
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# In your Docker run command or docker-compose.yml
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export CRAWL4AI_HOOKS_ENABLED=true
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```
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```yaml
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# docker-compose.yml
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services:
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crawl4ai:
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image: unclecode/crawl4ai:0.8.0
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environment:
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- CRAWL4AI_HOOKS_ENABLED=true
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```
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**Option B: For Kubernetes**
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```yaml
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env:
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- name: CRAWL4AI_HOOKS_ENABLED
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value: "true"
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```
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### Security Warning
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Only enable hooks if:
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- You trust all users who can access the API
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- The API is not exposed to the public internet
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- You have other authentication/authorization in place
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---
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## Step 4: Migrate file:// URL Usage
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### Before v0.8.0
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```bash
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# This worked via API
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curl -X POST http://localhost:11235/execute_js \
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-d '{"url": "file:///var/data/page.html", "scripts": ["document.title"]}'
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```
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### After v0.8.0
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**Option A: Use the Python Library Directly**
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```python
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from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
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async def process_local_file():
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async with AsyncWebCrawler() as crawler:
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result = await crawler.arun(
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url="file:///var/data/page.html",
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config=CrawlerRunConfig(js_code=["document.title"])
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)
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return result
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```
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**Option B: Use raw: Protocol for HTML Content**
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If you have the HTML content, you can still use the API:
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```bash
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# Read file content and send as raw:
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HTML_CONTENT=$(cat /var/data/page.html)
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curl -X POST http://localhost:11235/html \
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-H "Content-Type: application/json" \
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-d "{\"url\": \"raw:$HTML_CONTENT\"}"
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```
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**Option C: Create a Preprocessing Service**
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```python
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# preprocessing_service.py
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from fastapi import FastAPI
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from crawl4ai import AsyncWebCrawler
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app = FastAPI()
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@app.post("/process-local")
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async def process_local(file_path: str):
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async with AsyncWebCrawler() as crawler:
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result = await crawler.arun(url=f"file://{file_path}")
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return result.model_dump()
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```
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---
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## Step 5: Review Security Configuration
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### Recommended Production Settings
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```yaml
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# config.yml
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security:
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enabled: true
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jwt_enabled: true
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https_redirect: true # If behind HTTPS proxy
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trusted_hosts:
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- "your-domain.com"
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- "api.your-domain.com"
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```
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### Environment Variables
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```bash
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# Required for JWT authentication
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export SECRET_KEY="your-secure-random-key-minimum-32-characters"
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# Only if you need hooks
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export CRAWL4AI_HOOKS_ENABLED=true
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```
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### Generate a Secure Secret Key
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```python
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import secrets
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print(secrets.token_urlsafe(32))
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```
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---
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## Step 6: Test Your Integration
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### Quick Validation Script
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```python
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import asyncio
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import aiohttp
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async def test_upgrade():
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base_url = "http://localhost:11235"
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# Test 1: Basic crawl should work
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{base_url}/crawl",
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json={"urls": ["https://example.com"]}
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) as resp:
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assert resp.status == 200, "Basic crawl failed"
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print("✓ Basic crawl works")
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# Test 2: Hooks should be blocked (unless enabled)
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{base_url}/crawl",
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json={
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"urls": ["https://example.com"],
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"hooks": {"code": {"on_page_context_created": "async def hook(page, context, **kwargs): return page"}}
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}
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) as resp:
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if resp.status == 403:
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print("✓ Hooks correctly blocked (default)")
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elif resp.status == 200:
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print("! Hooks enabled - ensure this is intentional")
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# Test 3: file:// should be blocked
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{base_url}/execute_js",
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json={"url": "file:///etc/passwd", "scripts": ["1"]}
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) as resp:
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assert resp.status == 400, "file:// should be blocked"
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print("✓ file:// URLs correctly blocked")
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asyncio.run(test_upgrade())
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```
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---
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## Troubleshooting
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### "Hooks are disabled" Error
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**Symptom**: API returns 403 with "Hooks are disabled"
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**Solution**: Set `CRAWL4AI_HOOKS_ENABLED=true` if you need hooks
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### "URL must start with http://, https://" Error
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**Symptom**: API returns 400 when using `file://` URLs
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**Solution**: Use Python library directly or `raw:` protocol
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### Authentication Errors After Enabling JWT
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**Symptom**: API returns 401 Unauthorized
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**Solution**:
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1. Get a token: `POST /token` with your email
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2. Include token in requests: `Authorization: Bearer <token>`
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---
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## Rollback Plan
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If you need to rollback:
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```bash
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# PyPI
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pip install crawl4ai==0.7.6
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# Docker
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docker pull unclecode/crawl4ai:0.7.6
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```
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**Warning**: Rolling back re-exposes the security vulnerabilities. Only do this temporarily while fixing integration issues.
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---
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## Getting Help
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- **GitHub Issues**: [github.com/unclecode/crawl4ai/issues](https://github.com/unclecode/crawl4ai/issues)
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- **Security Issues**: See [SECURITY.md](../../SECURITY.md)
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- **Documentation**: [docs.crawl4ai.com](https://docs.crawl4ai.com)
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---
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## Changelog Reference
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For complete list of changes, see:
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- [Release Notes v0.8.0](../RELEASE_NOTES_v0.8.0.md)
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- [CHANGELOG.md](../../CHANGELOG.md)
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Reference in New Issue
Block a user