Compare commits
11 Commits
v0.7.6
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docker/fix
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97c92c4f62 |
@@ -785,6 +785,54 @@ curl http://localhost:11235/crawl/job/crawl_xyz
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The response includes `status` field: `"processing"`, `"completed"`, or `"failed"`.
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#### LLM Extraction Jobs with Webhooks
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The same webhook system works for LLM extraction jobs via `/llm/job`:
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```bash
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# Submit LLM extraction job with webhook
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curl -X POST http://localhost:11235/llm/job \
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-H "Content-Type: application/json" \
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-d '{
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"url": "https://example.com/article",
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"q": "Extract the article title, author, and main points",
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"provider": "openai/gpt-4o-mini",
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"webhook_config": {
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"webhook_url": "https://myapp.com/webhooks/llm-complete",
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"webhook_data_in_payload": true,
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"webhook_headers": {
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"X-Webhook-Secret": "your-secret-token"
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}
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}
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}'
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# Response: {"task_id": "llm_1234567890"}
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```
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**Your webhook receives:**
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```json
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{
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"task_id": "llm_1234567890",
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"task_type": "llm_extraction",
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"status": "completed",
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"timestamp": "2025-10-22T12:30:00.000000+00:00",
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"urls": ["https://example.com/article"],
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"data": {
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"extracted_content": {
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"title": "Understanding Web Scraping",
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"author": "John Doe",
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"main_points": ["Point 1", "Point 2", "Point 3"]
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}
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}
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}
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```
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**Key Differences for LLM Jobs:**
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- Task type is `"llm_extraction"` instead of `"crawl"`
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- Extracted data is in `data.extracted_content`
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- Single URL only (not an array)
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- Supports schema-based extraction with `schema` parameter
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> 💡 **Pro tip**: See [WEBHOOK_EXAMPLES.md](./WEBHOOK_EXAMPLES.md) for detailed examples including TypeScript client code, Flask webhook handlers, and failure handling.
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---
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@@ -2,8 +2,8 @@
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import asyncio, json, hashlib, time, psutil
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from contextlib import suppress
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from typing import Dict
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from crawl4ai import AsyncWebCrawler, BrowserConfig
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from typing import Dict
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from crawl4ai import AsyncWebCrawler, BrowserConfig, BrowserAdapter
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from typing import Dict ,Optional
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from utils import load_config
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CONFIG = load_config()
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@@ -15,11 +15,22 @@ LOCK = asyncio.Lock()
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MEM_LIMIT = CONFIG.get("crawler", {}).get("memory_threshold_percent", 95.0) # % RAM – refuse new browsers above this
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IDLE_TTL = CONFIG.get("crawler", {}).get("pool", {}).get("idle_ttl_sec", 1800) # close if unused for 30 min
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def _sig(cfg: BrowserConfig) -> str:
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payload = json.dumps(cfg.to_dict(), sort_keys=True, separators=(",",":"))
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def _sig(cfg: BrowserConfig, adapter: Optional[BrowserAdapter] = None) -> str:
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try:
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config_payload = json.dumps(cfg.to_dict(), sort_keys=True, separators=(",", ":"))
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except (TypeError, ValueError):
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# Fallback to string representation if JSON serialization fails
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config_payload = str(cfg.to_dict())
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adapter_name = adapter.__class__.__name__ if adapter else "PlaywrightAdapter"
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payload = f"{config_payload}:{adapter_name}"
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return hashlib.sha1(payload.encode()).hexdigest()
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async def get_crawler(cfg: BrowserConfig) -> AsyncWebCrawler:
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async def get_crawler(
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cfg: BrowserConfig, adapter: Optional[BrowserAdapter] = None
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) -> AsyncWebCrawler:
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sig = None
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try:
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sig = _sig(cfg)
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async with LOCK:
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@@ -37,6 +48,7 @@ async def get_crawler(cfg: BrowserConfig) -> AsyncWebCrawler:
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except Exception as e:
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raise RuntimeError(f"Failed to start browser: {e}")
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finally:
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if sig:
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if sig in POOL:
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LAST_USED[sig] = time.time()
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else:
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@@ -1,229 +1,445 @@
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#!/usr/bin/env python3
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"""
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Comprehensive test demonstrating all hook types from hooks_example.py
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adapted for the Docker API with real URLs
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🚀 Crawl4AI Docker Hooks System - Complete Examples
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====================================================
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This file demonstrates the Docker Hooks System with three different approaches:
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1. String-based hooks for REST API
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2. hooks_to_string() utility to convert functions
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3. Docker Client with automatic conversion (most convenient)
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Requirements:
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- Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
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- crawl4ai installed: pip install crawl4ai
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"""
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import asyncio
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import requests
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import json
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import time
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from typing import Dict, Any
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# API_BASE_URL = "http://localhost:11234"
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API_BASE_URL = "http://localhost:11235"
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# Import Crawl4AI components
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from crawl4ai import hooks_to_string
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from crawl4ai.docker_client import Crawl4aiDockerClient
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# Configuration
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DOCKER_URL = "http://localhost:11235"
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TEST_URLS = [
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"https://www.kidocode.com",
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"https://quotes.toscrape.com",
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"https://httpbin.org/html",
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]
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def test_all_hooks_demo():
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"""Demonstrate all 8 hook types with practical examples"""
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print("=" * 70)
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print("Testing: All Hooks Comprehensive Demo")
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print("=" * 70)
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def print_section(title: str, description: str = ""):
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"""Print a formatted section header"""
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print("\n" + "=" * 70)
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print(f" {title}")
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if description:
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print(f" {description}")
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print("=" * 70 + "\n")
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hooks_code = {
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"on_browser_created": """
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async def hook(browser, **kwargs):
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# Hook called after browser is created
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print("[HOOK] on_browser_created - Browser is ready!")
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# Browser-level configurations would go here
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return browser
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""",
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"on_page_context_created": """
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async def hook(page, context, **kwargs):
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# Hook called after a new page and context are created
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print("[HOOK] on_page_context_created - New page created!")
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def check_docker_service() -> bool:
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"""Check if Docker service is running"""
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try:
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response = requests.get(f"{DOCKER_URL}/health", timeout=3)
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return response.status_code == 200
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except:
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return False
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# Set viewport size for consistent rendering
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await page.set_viewport_size({"width": 1920, "height": 1080})
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# Add cookies for the session (using httpbin.org domain)
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await context.add_cookies([
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{
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"name": "test_session",
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"value": "abc123xyz",
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"domain": ".httpbin.org",
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"path": "/",
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"httpOnly": True,
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"secure": True
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}
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])
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# ============================================================================
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# REUSABLE HOOK LIBRARY
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# ============================================================================
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# Block ads and tracking scripts to speed up crawling
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await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
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async def performance_optimization_hook(page, context, **kwargs):
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"""
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Performance Hook: Block unnecessary resources to speed up crawling
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"""
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print(" [Hook] 🚀 Optimizing performance - blocking images and ads...")
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# Block images
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await context.route(
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"**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
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lambda route: route.abort()
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)
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# Block ads and analytics
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await context.route("**/analytics/*", lambda route: route.abort())
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await context.route("**/ads/*", lambda route: route.abort())
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await context.route("**/google-analytics.com/*", lambda route: route.abort())
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print("[HOOK] Viewport set, cookies added, and ads blocked")
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print(" [Hook] ✓ Performance optimization applied")
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return page
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""",
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"on_user_agent_updated": """
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async def hook(page, context, user_agent, **kwargs):
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# Hook called when user agent is updated
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print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
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async def viewport_setup_hook(page, context, **kwargs):
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"""
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Viewport Hook: Set consistent viewport size for rendering
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"""
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print(" [Hook] 🖥️ Setting viewport to 1920x1080...")
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await page.set_viewport_size({"width": 1920, "height": 1080})
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print(" [Hook] ✓ Viewport configured")
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return page
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async def authentication_headers_hook(page, context, url, **kwargs):
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"""
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Headers Hook: Add custom authentication and tracking headers
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"""
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print(f" [Hook] 🔐 Adding custom headers for {url[:50]}...")
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await page.set_extra_http_headers({
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'X-Crawl4AI': 'docker-hooks',
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'X-Custom-Hook': 'function-based',
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'Accept-Language': 'en-US,en;q=0.9',
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})
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print(" [Hook] ✓ Custom headers added")
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return page
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async def lazy_loading_handler_hook(page, context, **kwargs):
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"""
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Content Hook: Handle lazy-loaded content by scrolling
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"""
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print(" [Hook] 📜 Scrolling to load lazy content...")
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# Scroll to bottom
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await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
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await page.wait_for_timeout(1000)
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# Scroll to middle
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await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
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await page.wait_for_timeout(500)
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# Scroll back to top
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await page.evaluate("window.scrollTo(0, 0)")
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await page.wait_for_timeout(500)
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print(" [Hook] ✓ Lazy content loaded")
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return page
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async def page_analytics_hook(page, context, **kwargs):
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"""
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Analytics Hook: Log page metrics before extraction
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"""
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print(" [Hook] 📊 Collecting page analytics...")
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metrics = await page.evaluate('''
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() => ({
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title: document.title,
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images: document.images.length,
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links: document.links.length,
|
||||
scripts: document.scripts.length,
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headings: document.querySelectorAll('h1, h2, h3').length,
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paragraphs: document.querySelectorAll('p').length
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})
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''')
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print(f" [Hook] 📈 Page: {metrics['title'][:50]}...")
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print(f" Links: {metrics['links']}, Images: {metrics['images']}, "
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f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
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||||
|
||||
return page
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||||
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||||
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# ============================================================================
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# APPROACH 1: String-Based Hooks (REST API)
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# ============================================================================
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||||
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def example_1_string_based_hooks():
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"""
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Demonstrate string-based hooks with REST API
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Use this when working with REST API directly or non-Python clients
|
||||
"""
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||||
print_section(
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"APPROACH 1: String-Based Hooks (REST API)",
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||||
"Define hooks as strings for REST API requests"
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)
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|
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# Define hooks as strings
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hooks_config = {
|
||||
"on_page_context_created": """
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||||
async def hook(page, context, **kwargs):
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print(" [String Hook] Setting up page context...")
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# Block images for performance
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||||
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
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await page.set_viewport_size({"width": 1920, "height": 1080})
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return page
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""",
|
||||
|
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"before_goto": """
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||||
async def hook(page, context, url, **kwargs):
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# Hook called before navigating to each URL
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print(f"[HOOK] before_goto - About to visit: {url}")
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# Add custom headers for the request
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print(f" [String Hook] Navigating to {url[:50]}...")
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await page.set_extra_http_headers({
|
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"X-Custom-Header": "crawl4ai-test",
|
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"Accept-Language": "en-US,en;q=0.9",
|
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"DNT": "1"
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||||
'X-Crawl4AI': 'string-based-hooks',
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})
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||||
|
||||
return page
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""",
|
||||
|
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"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
# Hook called after navigating to each URL
|
||||
print(f"[HOOK] after_goto - Successfully loaded: {url}")
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|
||||
# Wait a moment for dynamic content to load
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await page.wait_for_timeout(1000)
|
||||
|
||||
# Check if specific elements exist (with error handling)
|
||||
try:
|
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# For httpbin.org, wait for body element
|
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await page.wait_for_selector("body", timeout=2000)
|
||||
print("[HOOK] Body element found and loaded")
|
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except:
|
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print("[HOOK] Timeout waiting for body, continuing anyway")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"on_execution_started": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called after custom JavaScript execution
|
||||
print("[HOOK] on_execution_started - Custom JS executed!")
|
||||
|
||||
# You could inject additional JavaScript here if needed
|
||||
await page.evaluate("console.log('[INJECTED] Hook JS running');")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called before retrieving the HTML content
|
||||
print("[HOOK] before_retrieve_html - Preparing to get HTML")
|
||||
|
||||
# Scroll to bottom to trigger lazy loading
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# Scroll back to top
|
||||
await page.evaluate("window.scrollTo(0, 0);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# One more scroll to middle for good measure
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
|
||||
|
||||
print("[HOOK] Scrolling completed for lazy-loaded content")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_return_html": """
|
||||
async def hook(page, context, html, **kwargs):
|
||||
# Hook called before returning the HTML content
|
||||
print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
|
||||
|
||||
# Log some page metrics
|
||||
metrics = await page.evaluate('''() => {
|
||||
return {
|
||||
images: document.images.length,
|
||||
links: document.links.length,
|
||||
scripts: document.scripts.length
|
||||
}
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
|
||||
|
||||
print(" [String Hook] Scrolling page...")
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
||||
await page.wait_for_timeout(1000)
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
# Create request payload
|
||||
# Prepare request payload
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"urls": [TEST_URLS[2]], # httpbin.org
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"code": hooks_config,
|
||||
"timeout": 30
|
||||
},
|
||||
"crawler_config": {
|
||||
"js_code": "window.scrollTo(0, document.body.scrollHeight);",
|
||||
"wait_for": "body",
|
||||
"cache_mode": "bypass"
|
||||
}
|
||||
}
|
||||
|
||||
print("\nSending request with all 8 hooks...")
|
||||
print(f"🎯 Target URL: {TEST_URLS[2]}")
|
||||
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"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
|
||||
execution_time = time.time() - start_time
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("\n✅ Request successful!")
|
||||
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 data:
|
||||
hooks_info = data['hooks']
|
||||
print("\n📊 Hooks Execution Summary:")
|
||||
print(f" Status: {hooks_info['status']['status']}")
|
||||
print(f" Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
|
||||
|
||||
for hook_name in hooks_info['status']['attached_hooks']:
|
||||
print(f" ✓ {hook_name}")
|
||||
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"\n📈 Execution Statistics:")
|
||||
print(f" Total executions: {summary['total_executions']}")
|
||||
print(f" Successful: {summary['successful']}")
|
||||
print(f" Failed: {summary['failed']}")
|
||||
print(f" Timed out: {summary['timed_out']}")
|
||||
print(f" Success rate: {summary['success_rate']:.1f}%")
|
||||
|
||||
if hooks_info.get('execution_log'):
|
||||
print(f"\n📝 Execution Log:")
|
||||
for log_entry in hooks_info['execution_log']:
|
||||
status_icon = "✅" if log_entry['status'] == 'success' else "❌"
|
||||
exec_time = log_entry.get('execution_time', 0)
|
||||
print(f" {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
|
||||
|
||||
# Check crawl results
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
print(f"\n📄 Crawl Results:")
|
||||
for result in data['results']:
|
||||
print(f" URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
if result.get('html'):
|
||||
print(f" HTML length: {len(result['html'])} characters")
|
||||
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"❌ Error: {response.status_code}")
|
||||
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 example complete\n")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 2: Function-Based Hooks with hooks_to_string() Utility
|
||||
# ============================================================================
|
||||
|
||||
def example_2_hooks_to_string_utility():
|
||||
"""
|
||||
Demonstrate the hooks_to_string() utility for converting functions
|
||||
Use this when you want to write hooks as functions but use REST API
|
||||
"""
|
||||
print_section(
|
||||
"APPROACH 2: hooks_to_string() Utility",
|
||||
"Convert Python functions to strings for REST API"
|
||||
)
|
||||
|
||||
print("📦 Creating hook functions...")
|
||||
print(" • performance_optimization_hook")
|
||||
print(" • authentication_headers_hook")
|
||||
print(" • lazy_loading_handler_hook")
|
||||
|
||||
# Convert function objects to strings using the 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 200 characters):")
|
||||
print("─" * 70)
|
||||
sample_hook = list(hooks_as_strings.values())[0]
|
||||
print(sample_hook[:200] + "...")
|
||||
print("─" * 70)
|
||||
|
||||
# Use the converted hooks with REST API
|
||||
print("\n📡 Using converted hooks with REST API...")
|
||||
|
||||
payload = {
|
||||
"urls": [TEST_URLS[2]],
|
||||
"hooks": {
|
||||
"code": hooks_as_strings,
|
||||
"timeout": 30
|
||||
}
|
||||
}
|
||||
|
||||
try:
|
||||
error_data = response.json()
|
||||
print(f"Error details: {json.dumps(error_data, indent=2)}")
|
||||
except:
|
||||
print(f"Error text: {response.text[:500]}")
|
||||
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 example complete\n")
|
||||
|
||||
|
||||
def test_authentication_flow():
|
||||
"""Test a complete authentication flow with multiple hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Authentication Flow with Multiple Hooks")
|
||||
print("=" * 70)
|
||||
# ============================================================================
|
||||
# APPROACH 3: Docker Client with Automatic Conversion (RECOMMENDED)
|
||||
# ============================================================================
|
||||
|
||||
async def example_3_docker_client_auto_conversion():
|
||||
"""
|
||||
Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
|
||||
Use this for the best developer experience with Python
|
||||
"""
|
||||
print_section(
|
||||
"APPROACH 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(" • authentication_headers_hook")
|
||||
print(" • lazy_loading_handler_hook")
|
||||
print(" • page_analytics_hook")
|
||||
|
||||
print("\n🎯 Target URL: " + TEST_URLS[0])
|
||||
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')[:50]}...")
|
||||
|
||||
# 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 example complete\n")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 4: Authentication Example
|
||||
# ============================================================================
|
||||
|
||||
def example_4_authentication_flow():
|
||||
"""
|
||||
Demonstrate authentication flow with multiple hooks
|
||||
"""
|
||||
print_section(
|
||||
"EXAMPLE 4: Authentication Flow",
|
||||
"Using hooks for authentication with cookies and headers"
|
||||
)
|
||||
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
@@ -242,12 +458,6 @@ async def hook(page, context, **kwargs):
|
||||
}
|
||||
])
|
||||
|
||||
# Set localStorage items (for SPA authentication)
|
||||
await page.evaluate('''
|
||||
localStorage.setItem('user_id', '12345');
|
||||
localStorage.setItem('auth_time', new Date().toISOString());
|
||||
''')
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
@@ -269,9 +479,7 @@ async def hook(page, context, url, **kwargs):
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": [
|
||||
"https://httpbin.org/basic-auth/user/passwd"
|
||||
],
|
||||
"urls": ["https://httpbin.org/basic-auth/user/passwd"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 15
|
||||
@@ -279,7 +487,7 @@ async def hook(page, context, url, **kwargs):
|
||||
}
|
||||
|
||||
print("\nTesting authentication with httpbin endpoints...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
response = requests.post(f"{DOCKER_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
@@ -300,214 +508,120 @@ async def hook(page, context, url, **kwargs):
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
print("\n" + "─" * 70)
|
||||
print("✓ Authentication example complete\n")
|
||||
|
||||
def test_performance_optimization_hooks():
|
||||
"""Test hooks for performance optimization"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Performance Optimization Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Optimizing page for performance")
|
||||
# ============================================================================
|
||||
# MAIN EXECUTION
|
||||
# ============================================================================
|
||||
|
||||
# Block resource-heavy content
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
|
||||
await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
|
||||
await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
|
||||
await context.route("**/googletagmanager.com/*", lambda route: route.abort())
|
||||
await context.route("**/google-analytics.com/*", lambda route: route.abort())
|
||||
await context.route("**/doubleclick.net/*", lambda route: route.abort())
|
||||
await context.route("**/facebook.com/*", lambda route: route.abort())
|
||||
|
||||
# Disable animations and transitions
|
||||
await page.add_style_tag(content='''
|
||||
*, *::before, *::after {
|
||||
animation-duration: 0s !important;
|
||||
animation-delay: 0s !important;
|
||||
transition-duration: 0s !important;
|
||||
transition-delay: 0s !important;
|
||||
}
|
||||
''')
|
||||
|
||||
print("[HOOK] Performance optimizations applied")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Removing unnecessary elements before extraction")
|
||||
|
||||
# Remove ads, popups, and other unnecessary elements
|
||||
await page.evaluate('''() => {
|
||||
// Remove common ad containers
|
||||
const adSelectors = [
|
||||
'.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
|
||||
'.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
|
||||
];
|
||||
|
||||
adSelectors.forEach(selector => {
|
||||
document.querySelectorAll(selector).forEach(el => el.remove());
|
||||
});
|
||||
|
||||
// Remove script tags to clean up HTML
|
||||
document.querySelectorAll('script').forEach(el => el.remove());
|
||||
|
||||
// Remove style tags we don't need
|
||||
document.querySelectorAll('style').forEach(el => el.remove());
|
||||
}''')
|
||||
|
||||
return page
|
||||
async def main():
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 10
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting performance optimization hooks...")
|
||||
start_time = time.time()
|
||||
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Performance optimization test completed")
|
||||
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
result = data['results'][0]
|
||||
if result.get('html'):
|
||||
print(f" HTML size: {len(result['html'])} characters")
|
||||
print(" Resources blocked, ads removed, animations disabled")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def test_content_extraction_hooks():
|
||||
"""Test hooks for intelligent content extraction"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Content Extraction Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
print(f"[HOOK] Waiting for dynamic content on {url}")
|
||||
|
||||
# Wait for any lazy-loaded content
|
||||
await page.wait_for_timeout(2000)
|
||||
|
||||
# Trigger any "Load More" buttons
|
||||
try:
|
||||
load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
|
||||
if load_more:
|
||||
await load_more.click()
|
||||
await page.wait_for_timeout(1000)
|
||||
print("[HOOK] Clicked 'Load More' button")
|
||||
except:
|
||||
pass
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Extracting structured data")
|
||||
|
||||
# Extract metadata
|
||||
metadata = await page.evaluate('''() => {
|
||||
const getMeta = (name) => {
|
||||
const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
|
||||
return element ? element.getAttribute('content') : null;
|
||||
};
|
||||
|
||||
return {
|
||||
title: document.title,
|
||||
description: getMeta('description') || getMeta('og:description'),
|
||||
author: getMeta('author'),
|
||||
keywords: getMeta('keywords'),
|
||||
ogTitle: getMeta('og:title'),
|
||||
ogImage: getMeta('og:image'),
|
||||
canonical: document.querySelector('link[rel="canonical"]')?.href,
|
||||
jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
|
||||
.map(el => el.textContent).filter(Boolean)
|
||||
};
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
|
||||
|
||||
# Infinite scroll handling
|
||||
for i in range(3):
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(1000)
|
||||
print(f"[HOOK] Scroll iteration {i+1}/3")
|
||||
|
||||
return page
|
||||
Run all example demonstrations
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 20
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting content extraction hooks...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Content extraction test completed")
|
||||
|
||||
if 'hooks' in data and 'summary' in data['hooks']:
|
||||
summary = data['hooks']['summary']
|
||||
print(f" Hooks executed: {summary['successful']}/{summary['total_executions']}")
|
||||
|
||||
if 'results' in data:
|
||||
for result in data['results']:
|
||||
print(f"\n URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def main():
|
||||
"""Run comprehensive hook tests"""
|
||||
print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
|
||||
print("Based on docs/examples/hooks_example.py")
|
||||
print("\n" + "=" * 70)
|
||||
print(" 🚀 Crawl4AI - Docker Hooks System Examples")
|
||||
print("=" * 70)
|
||||
|
||||
tests = [
|
||||
("All Hooks Demo", test_all_hooks_demo),
|
||||
("Authentication Flow", test_authentication_flow),
|
||||
("Performance Optimization", test_performance_optimization_hooks),
|
||||
("Content Extraction", test_content_extraction_hooks),
|
||||
# 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 example again.")
|
||||
return
|
||||
|
||||
print("✅ Docker service is running!\n")
|
||||
|
||||
# Run all examples
|
||||
examples = [
|
||||
("String-Based Hooks (REST API)", example_1_string_based_hooks, False),
|
||||
("hooks_to_string() Utility", example_2_hooks_to_string_utility, False),
|
||||
("Docker Client Auto-Conversion (Recommended)", example_3_docker_client_auto_conversion, True),
|
||||
("Authentication Flow", example_4_authentication_flow, False),
|
||||
]
|
||||
|
||||
for i, (name, test_func) in enumerate(tests, 1):
|
||||
print(f"\n📌 Test {i}/{len(tests)}: {name}")
|
||||
for i, (name, example_func, is_async) in enumerate(examples, 1):
|
||||
print(f"\n{'🔷' * 35}")
|
||||
print(f"Example {i}/{len(examples)}: {name}")
|
||||
print(f"{'🔷' * 35}\n")
|
||||
|
||||
try:
|
||||
test_func()
|
||||
print(f"✅ {name} completed")
|
||||
if is_async:
|
||||
await example_func()
|
||||
else:
|
||||
example_func()
|
||||
|
||||
print(f"✅ Example {i} completed successfully!")
|
||||
|
||||
# Pause between examples (except the last one)
|
||||
if i < len(examples):
|
||||
print("\n⏸️ Press Enter to continue to next example...")
|
||||
input()
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print(f"\n⏹️ Examples interrupted by user")
|
||||
break
|
||||
except Exception as e:
|
||||
print(f"❌ {name} failed: {e}")
|
||||
print(f"\n❌ Example {i} failed: {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
print("\nContinuing to next example...\n")
|
||||
continue
|
||||
|
||||
# Final summary
|
||||
print("\n" + "=" * 70)
|
||||
print(" 🎉 All Examples Complete!")
|
||||
print("=" * 70)
|
||||
|
||||
print("\n📊 Summary - Three Approaches to Docker Hooks:")
|
||||
|
||||
print("\n✨ 1. String-Based Hooks:")
|
||||
print(" • Write hooks as strings directly in JSON")
|
||||
print(" • Best for: REST API, non-Python clients, simple use cases")
|
||||
print(" • Cons: No IDE support, harder to debug")
|
||||
|
||||
print("\n✨ 2. hooks_to_string() Utility:")
|
||||
print(" • Write hooks as Python functions, convert to strings")
|
||||
print(" • Best for: Python with REST API, reusable hook libraries")
|
||||
print(" • Pros: IDE support, type checking, easy debugging")
|
||||
|
||||
print("\n✨ 3. Docker Client (RECOMMENDED):")
|
||||
print(" • Pass function objects directly, automatic conversion")
|
||||
print(" • Best for: Python applications, best developer experience")
|
||||
print(" • Pros: All benefits of #2 + cleaner code, no manual conversion")
|
||||
|
||||
print("\n💡 Recommendation:")
|
||||
print(" Use Docker Client (#3) for Python applications")
|
||||
print(" Use hooks_to_string() (#2) when you need REST API flexibility")
|
||||
print(" Use string-based (#1) for non-Python clients or simple scripts")
|
||||
|
||||
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/core/docker-deployment")
|
||||
print(" • GitHub: https://github.com/unclecode/crawl4ai")
|
||||
print(" • Discord: https://discord.gg/jP8KfhDhyN")
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("🎉 All comprehensive hook tests completed!")
|
||||
print("=" * 70)
|
||||
print(" Happy Crawling! 🕷️")
|
||||
print("=" * 70 + "\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
print("\n🎬 Starting Crawl4AI Docker Hooks Examples...")
|
||||
print("Press Ctrl+C anytime to exit\n")
|
||||
|
||||
try:
|
||||
asyncio.run(main())
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 Examples stopped by user. Thanks for exploring Crawl4AI!")
|
||||
except Exception as e:
|
||||
print(f"\n\n❌ Error: {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
@@ -27,6 +27,14 @@
|
||||
- [Hook Response Information](#hook-response-information)
|
||||
- [Error Handling](#error-handling)
|
||||
- [Hooks Utility: Function-Based Approach (Python)](#hooks-utility-function-based-approach-python)
|
||||
- [Job Queue & Webhook API](#job-queue-webhook-api)
|
||||
- [Why Use the Job Queue API?](#why-use-the-job-queue-api)
|
||||
- [Available Endpoints](#available-endpoints)
|
||||
- [Webhook Configuration](#webhook-configuration)
|
||||
- [Usage Examples](#usage-examples)
|
||||
- [Webhook Best Practices](#webhook-best-practices)
|
||||
- [Use Cases](#use-cases)
|
||||
- [Troubleshooting](#troubleshooting)
|
||||
- [Dockerfile Parameters](#dockerfile-parameters)
|
||||
- [Using the API](#using-the-api)
|
||||
- [Playground Interface](#playground-interface)
|
||||
@@ -1110,6 +1118,464 @@ if __name__ == "__main__":
|
||||
|
||||
---
|
||||
|
||||
## Job Queue & Webhook API
|
||||
|
||||
The Docker deployment includes a powerful asynchronous job queue system with webhook support for both crawling and LLM extraction tasks. Instead of waiting for long-running operations to complete, submit jobs and receive real-time notifications via webhooks when they finish.
|
||||
|
||||
### Why Use the Job Queue API?
|
||||
|
||||
**Traditional Synchronous API (`/crawl`):**
|
||||
- Client waits for entire crawl to complete
|
||||
- Timeout issues with long-running crawls
|
||||
- Resource blocking during execution
|
||||
- Constant polling required for status updates
|
||||
|
||||
**Asynchronous Job Queue API (`/crawl/job`, `/llm/job`):**
|
||||
- ✅ Submit job and continue immediately
|
||||
- ✅ No timeout concerns for long operations
|
||||
- ✅ Real-time webhook notifications on completion
|
||||
- ✅ Better resource utilization
|
||||
- ✅ Perfect for batch processing
|
||||
- ✅ Ideal for microservice architectures
|
||||
|
||||
### Available Endpoints
|
||||
|
||||
#### 1. Crawl Job Endpoint
|
||||
|
||||
```
|
||||
POST /crawl/job
|
||||
```
|
||||
|
||||
Submit an asynchronous crawl job with optional webhook notification.
|
||||
|
||||
**Request Body:**
|
||||
```json
|
||||
{
|
||||
"urls": ["https://example.com"],
|
||||
"cache_mode": "bypass",
|
||||
"extraction_strategy": {
|
||||
"type": "JsonCssExtractionStrategy",
|
||||
"schema": {
|
||||
"title": "h1",
|
||||
"content": ".article-body"
|
||||
}
|
||||
},
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/crawl-complete",
|
||||
"webhook_data_in_payload": true,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token",
|
||||
"X-Custom-Header": "value"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Response:**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"message": "Crawl job submitted"
|
||||
}
|
||||
```
|
||||
|
||||
#### 2. LLM Extraction Job Endpoint
|
||||
|
||||
```
|
||||
POST /llm/job
|
||||
```
|
||||
|
||||
Submit an asynchronous LLM extraction job with optional webhook notification.
|
||||
|
||||
**Request Body:**
|
||||
```json
|
||||
{
|
||||
"url": "https://example.com/article",
|
||||
"q": "Extract the article title, author, publication date, and main points",
|
||||
"provider": "openai/gpt-4o-mini",
|
||||
"schema": "{\"title\": \"string\", \"author\": \"string\", \"date\": \"string\", \"points\": [\"string\"]}",
|
||||
"cache": false,
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/llm-complete",
|
||||
"webhook_data_in_payload": true,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Response:**
|
||||
```json
|
||||
{
|
||||
"task_id": "llm_1698765432",
|
||||
"message": "LLM job submitted"
|
||||
}
|
||||
```
|
||||
|
||||
#### 3. Job Status Endpoint
|
||||
|
||||
```
|
||||
GET /job/{task_id}
|
||||
```
|
||||
|
||||
Check the status and retrieve results of a submitted job.
|
||||
|
||||
**Response (In Progress):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"status": "processing",
|
||||
"message": "Job is being processed"
|
||||
}
|
||||
```
|
||||
|
||||
**Response (Completed):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"status": "completed",
|
||||
"result": {
|
||||
"markdown": "# Page Title\n\nContent...",
|
||||
"extracted_content": {...},
|
||||
"links": {...}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Webhook Configuration
|
||||
|
||||
Webhooks provide real-time notifications when your jobs complete, eliminating the need for constant polling.
|
||||
|
||||
#### Webhook Config Parameters
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `webhook_url` | string | Yes | Your HTTP(S) endpoint to receive notifications |
|
||||
| `webhook_data_in_payload` | boolean | No | Include full result data in webhook payload (default: false) |
|
||||
| `webhook_headers` | object | No | Custom headers for authentication/identification |
|
||||
|
||||
#### Webhook Payload Format
|
||||
|
||||
**Success Notification (Crawl Job):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"task_type": "crawl",
|
||||
"status": "completed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com"],
|
||||
"data": {
|
||||
"markdown": "# Page content...",
|
||||
"extracted_content": {...},
|
||||
"links": {...}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Success Notification (LLM Job):**
|
||||
```json
|
||||
{
|
||||
"task_id": "llm_1698765432",
|
||||
"task_type": "llm_extraction",
|
||||
"status": "completed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com/article"],
|
||||
"data": {
|
||||
"extracted_content": {
|
||||
"title": "Understanding Web Scraping",
|
||||
"author": "John Doe",
|
||||
"date": "2025-10-22",
|
||||
"points": ["Point 1", "Point 2"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Failure Notification:**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"task_type": "crawl",
|
||||
"status": "failed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com"],
|
||||
"error": "Connection timeout after 30 seconds"
|
||||
}
|
||||
```
|
||||
|
||||
#### Webhook Delivery & Retry
|
||||
|
||||
- **Delivery Method:** HTTP POST to your `webhook_url`
|
||||
- **Content-Type:** `application/json`
|
||||
- **Retry Policy:** Exponential backoff with 5 attempts
|
||||
- Attempt 1: Immediate
|
||||
- Attempt 2: 1 second delay
|
||||
- Attempt 3: 2 seconds delay
|
||||
- Attempt 4: 4 seconds delay
|
||||
- Attempt 5: 8 seconds delay
|
||||
- **Success Status Codes:** 200-299
|
||||
- **Custom Headers:** Your `webhook_headers` are included in every request
|
||||
|
||||
### Usage Examples
|
||||
|
||||
#### Example 1: Python with Webhook Handler (Flask)
|
||||
|
||||
```python
|
||||
from flask import Flask, request, jsonify
|
||||
import requests
|
||||
|
||||
app = Flask(__name__)
|
||||
|
||||
# Webhook handler
|
||||
@app.route('/webhook/crawl-complete', methods=['POST'])
|
||||
def handle_crawl_webhook():
|
||||
payload = request.json
|
||||
|
||||
if payload['status'] == 'completed':
|
||||
print(f"✅ Job {payload['task_id']} completed!")
|
||||
print(f"Task type: {payload['task_type']}")
|
||||
|
||||
# Access the crawl results
|
||||
if 'data' in payload:
|
||||
markdown = payload['data'].get('markdown', '')
|
||||
extracted = payload['data'].get('extracted_content', {})
|
||||
print(f"Extracted {len(markdown)} characters")
|
||||
print(f"Structured data: {extracted}")
|
||||
else:
|
||||
print(f"❌ Job {payload['task_id']} failed: {payload.get('error')}")
|
||||
|
||||
return jsonify({"status": "received"}), 200
|
||||
|
||||
# Submit a crawl job with webhook
|
||||
def submit_crawl_job():
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={
|
||||
"urls": ["https://example.com"],
|
||||
"extraction_strategy": {
|
||||
"type": "JsonCssExtractionStrategy",
|
||||
"schema": {
|
||||
"name": "Example Schema",
|
||||
"baseSelector": "body",
|
||||
"fields": [
|
||||
{"name": "title", "selector": "h1", "type": "text"},
|
||||
{"name": "description", "selector": "meta[name='description']", "type": "attribute", "attribute": "content"}
|
||||
]
|
||||
}
|
||||
},
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/crawl-complete",
|
||||
"webhook_data_in_payload": True,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
task_id = response.json()['task_id']
|
||||
print(f"Job submitted: {task_id}")
|
||||
return task_id
|
||||
|
||||
if __name__ == '__main__':
|
||||
app.run(port=5000)
|
||||
```
|
||||
|
||||
#### Example 2: LLM Extraction with Webhooks
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
def submit_llm_job_with_webhook():
|
||||
response = requests.post(
|
||||
"http://localhost:11235/llm/job",
|
||||
json={
|
||||
"url": "https://example.com/article",
|
||||
"q": "Extract the article title, author, and main points",
|
||||
"provider": "openai/gpt-4o-mini",
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/llm-complete",
|
||||
"webhook_data_in_payload": True,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
task_id = response.json()['task_id']
|
||||
print(f"LLM job submitted: {task_id}")
|
||||
return task_id
|
||||
|
||||
# Webhook handler for LLM jobs
|
||||
@app.route('/webhook/llm-complete', methods=['POST'])
|
||||
def handle_llm_webhook():
|
||||
payload = request.json
|
||||
|
||||
if payload['status'] == 'completed':
|
||||
extracted = payload['data']['extracted_content']
|
||||
print(f"✅ LLM extraction completed!")
|
||||
print(f"Results: {extracted}")
|
||||
else:
|
||||
print(f"❌ LLM extraction failed: {payload.get('error')}")
|
||||
|
||||
return jsonify({"status": "received"}), 200
|
||||
```
|
||||
|
||||
#### Example 3: Without Webhooks (Polling)
|
||||
|
||||
If you don't use webhooks, you can poll for results:
|
||||
|
||||
```python
|
||||
import requests
|
||||
import time
|
||||
|
||||
# Submit job
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={"urls": ["https://example.com"]}
|
||||
)
|
||||
task_id = response.json()['task_id']
|
||||
|
||||
# Poll for results
|
||||
while True:
|
||||
result = requests.get(f"http://localhost:11235/job/{task_id}")
|
||||
data = result.json()
|
||||
|
||||
if data['status'] == 'completed':
|
||||
print("Job completed!")
|
||||
print(data['result'])
|
||||
break
|
||||
elif data['status'] == 'failed':
|
||||
print(f"Job failed: {data.get('error')}")
|
||||
break
|
||||
|
||||
print("Still processing...")
|
||||
time.sleep(2)
|
||||
```
|
||||
|
||||
#### Example 4: Global Webhook Configuration
|
||||
|
||||
Set a default webhook URL in your `config.yml` to avoid repeating it in every request:
|
||||
|
||||
```yaml
|
||||
# config.yml
|
||||
api:
|
||||
crawler:
|
||||
# ... other settings ...
|
||||
webhook:
|
||||
default_url: "https://your-app.com/webhook/default"
|
||||
default_headers:
|
||||
X-Webhook-Secret: "your-secret-token"
|
||||
```
|
||||
|
||||
Then submit jobs without webhook config:
|
||||
|
||||
```python
|
||||
# Uses the global webhook configuration
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={"urls": ["https://example.com"]}
|
||||
)
|
||||
```
|
||||
|
||||
### Webhook Best Practices
|
||||
|
||||
1. **Authentication:** Always use custom headers for webhook authentication
|
||||
```json
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
```
|
||||
|
||||
2. **Idempotency:** Design your webhook handler to be idempotent (safe to receive duplicate notifications)
|
||||
|
||||
3. **Fast Response:** Return HTTP 200 quickly; process data asynchronously if needed
|
||||
```python
|
||||
@app.route('/webhook', methods=['POST'])
|
||||
def webhook():
|
||||
payload = request.json
|
||||
# Queue for background processing
|
||||
queue.enqueue(process_webhook, payload)
|
||||
return jsonify({"status": "received"}), 200
|
||||
```
|
||||
|
||||
4. **Error Handling:** Handle both success and failure notifications
|
||||
```python
|
||||
if payload['status'] == 'completed':
|
||||
# Process success
|
||||
elif payload['status'] == 'failed':
|
||||
# Log error, retry, or alert
|
||||
```
|
||||
|
||||
5. **Validation:** Verify webhook authenticity using custom headers
|
||||
```python
|
||||
secret = request.headers.get('X-Webhook-Secret')
|
||||
if secret != os.environ['EXPECTED_SECRET']:
|
||||
return jsonify({"error": "Unauthorized"}), 401
|
||||
```
|
||||
|
||||
6. **Logging:** Log webhook deliveries for debugging
|
||||
```python
|
||||
logger.info(f"Webhook received: {payload['task_id']} - {payload['status']}")
|
||||
```
|
||||
|
||||
### Use Cases
|
||||
|
||||
**1. Batch Processing**
|
||||
Submit hundreds of URLs and get notified as each completes:
|
||||
```python
|
||||
urls = ["https://site1.com", "https://site2.com", ...]
|
||||
for url in urls:
|
||||
submit_crawl_job(url, webhook_url="https://app.com/webhook")
|
||||
```
|
||||
|
||||
**2. Microservice Integration**
|
||||
Integrate with event-driven architectures:
|
||||
```python
|
||||
# Service A submits job
|
||||
task_id = submit_crawl_job(url)
|
||||
|
||||
# Service B receives webhook and triggers next step
|
||||
@app.route('/webhook')
|
||||
def webhook():
|
||||
process_result(request.json)
|
||||
trigger_next_service()
|
||||
return "OK", 200
|
||||
```
|
||||
|
||||
**3. Long-Running Extractions**
|
||||
Handle complex LLM extractions without timeouts:
|
||||
```python
|
||||
submit_llm_job(
|
||||
url="https://long-article.com",
|
||||
q="Comprehensive summary with key points and analysis",
|
||||
webhook_url="https://app.com/webhook/llm"
|
||||
)
|
||||
```
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
**Webhook not receiving notifications?**
|
||||
- Check your webhook URL is publicly accessible
|
||||
- Verify firewall/security group settings
|
||||
- Use webhook testing tools like webhook.site for debugging
|
||||
- Check server logs for delivery attempts
|
||||
- Ensure your handler returns 200-299 status code
|
||||
|
||||
**Job stuck in processing?**
|
||||
- Check Redis connection: `docker logs <container_name> | grep redis`
|
||||
- Verify worker processes: `docker exec <container_name> ps aux | grep worker`
|
||||
- Check server logs: `docker logs <container_name>`
|
||||
|
||||
**Need to cancel a job?**
|
||||
Jobs are processed asynchronously. If you need to cancel:
|
||||
- Delete the task from Redis (requires Redis CLI access)
|
||||
- Or implement a cancellation endpoint in your webhook handler
|
||||
|
||||
---
|
||||
|
||||
## Dockerfile Parameters
|
||||
|
||||
You can customize the image build process using build arguments (`--build-arg`). These are typically used via `docker buildx build` or within the `docker-compose.yml` file.
|
||||
|
||||
@@ -529,8 +529,19 @@ class AdminDashboard {
|
||||
</label>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Integration Guide</label>
|
||||
<textarea id="form-integration" rows="10">${app?.integration_guide || ''}</textarea>
|
||||
<label>Long Description (Markdown - Overview tab)</label>
|
||||
<textarea id="form-long-description" rows="10" placeholder="Enter detailed description with markdown formatting...">${app?.long_description || ''}</textarea>
|
||||
<small>Markdown support: **bold**, *italic*, [links](url), # headers, code blocks, lists</small>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Integration Guide (Markdown - Integration tab)</label>
|
||||
<textarea id="form-integration" rows="20" placeholder="Enter integration guide with installation, examples, and code snippets using markdown...">${app?.integration_guide || ''}</textarea>
|
||||
<small>Single markdown field with installation, examples, and complete guide. Code blocks get auto copy buttons.</small>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Documentation (Markdown - Documentation tab)</label>
|
||||
<textarea id="form-documentation" rows="20" placeholder="Enter documentation with API reference, examples, and best practices using markdown...">${app?.documentation || ''}</textarea>
|
||||
<small>Full documentation with API reference, examples, best practices, etc.</small>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
@@ -712,7 +723,9 @@ class AdminDashboard {
|
||||
data.contact_email = document.getElementById('form-email').value;
|
||||
data.featured = document.getElementById('form-featured').checked ? 1 : 0;
|
||||
data.sponsored = document.getElementById('form-sponsored').checked ? 1 : 0;
|
||||
data.long_description = document.getElementById('form-long-description').value;
|
||||
data.integration_guide = document.getElementById('form-integration').value;
|
||||
data.documentation = document.getElementById('form-documentation').value;
|
||||
} else if (type === 'articles') {
|
||||
data.title = document.getElementById('form-title').value;
|
||||
data.slug = this.generateSlug(data.title);
|
||||
|
||||
@@ -278,12 +278,12 @@
|
||||
}
|
||||
|
||||
.tab-content {
|
||||
display: none;
|
||||
display: none !important;
|
||||
padding: 2rem;
|
||||
}
|
||||
|
||||
.tab-content.active {
|
||||
display: block;
|
||||
display: block !important;
|
||||
}
|
||||
|
||||
/* Overview Layout */
|
||||
@@ -510,6 +510,31 @@
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
/* Markdown rendered code blocks */
|
||||
.integration-content pre,
|
||||
.docs-content pre {
|
||||
background: var(--bg-dark);
|
||||
border: 1px solid var(--border-color);
|
||||
margin: 1rem 0;
|
||||
padding: 1rem;
|
||||
padding-top: 2.5rem; /* Space for copy button */
|
||||
overflow-x: auto;
|
||||
position: relative;
|
||||
max-height: none; /* Remove any height restrictions */
|
||||
height: auto; /* Allow content to expand */
|
||||
}
|
||||
|
||||
.integration-content pre code,
|
||||
.docs-content pre code {
|
||||
background: transparent;
|
||||
padding: 0;
|
||||
color: var(--text-secondary);
|
||||
font-size: 0.875rem;
|
||||
line-height: 1.5;
|
||||
white-space: pre; /* Preserve whitespace and line breaks */
|
||||
display: block;
|
||||
}
|
||||
|
||||
/* Feature Grid */
|
||||
.feature-grid {
|
||||
display: grid;
|
||||
|
||||
@@ -73,27 +73,14 @@
|
||||
<div class="tabs">
|
||||
<button class="tab-btn active" data-tab="overview">Overview</button>
|
||||
<button class="tab-btn" data-tab="integration">Integration</button>
|
||||
<button class="tab-btn" data-tab="docs">Documentation</button>
|
||||
<button class="tab-btn" data-tab="support">Support</button>
|
||||
<!-- <button class="tab-btn" data-tab="docs">Documentation</button>
|
||||
<button class="tab-btn" data-tab="support">Support</button> -->
|
||||
</div>
|
||||
|
||||
<section id="overview-tab" class="tab-content active">
|
||||
<div class="overview-columns">
|
||||
<div class="overview-main">
|
||||
<h2>Overview</h2>
|
||||
<div id="app-overview">Overview content goes here.</div>
|
||||
|
||||
<h3>Key Features</h3>
|
||||
<ul id="app-features" class="features-list">
|
||||
<li>Feature 1</li>
|
||||
<li>Feature 2</li>
|
||||
<li>Feature 3</li>
|
||||
</ul>
|
||||
|
||||
<h3>Use Cases</h3>
|
||||
<div id="app-use-cases" class="use-cases">
|
||||
<p>Describe how this app can help your workflow.</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<aside class="sidebar">
|
||||
@@ -142,37 +129,16 @@
|
||||
</section>
|
||||
|
||||
<section id="integration-tab" class="tab-content">
|
||||
<div class="integration-content">
|
||||
<h2>Integration Guide</h2>
|
||||
|
||||
<h3>Installation</h3>
|
||||
<div class="code-block">
|
||||
<pre><code id="install-code"># Installation instructions will appear here</code></pre>
|
||||
</div>
|
||||
|
||||
<h3>Basic Usage</h3>
|
||||
<div class="code-block">
|
||||
<pre><code id="usage-code"># Usage example will appear here</code></pre>
|
||||
</div>
|
||||
|
||||
<h3>Complete Integration Example</h3>
|
||||
<div class="code-block">
|
||||
<button class="copy-btn" id="copy-integration">Copy</button>
|
||||
<pre><code id="integration-code"># Complete integration guide will appear here</code></pre>
|
||||
</div>
|
||||
<div class="integration-content" id="app-integration">
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section id="docs-tab" class="tab-content">
|
||||
<div class="docs-content">
|
||||
<h2>Documentation</h2>
|
||||
<div id="app-docs" class="doc-sections">
|
||||
<p>Documentation coming soon.</p>
|
||||
<!-- <section id="docs-tab" class="tab-content">
|
||||
<div class="docs-content" id="app-docs">
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
</section> -->
|
||||
|
||||
<section id="support-tab" class="tab-content">
|
||||
<!-- <section id="support-tab" class="tab-content">
|
||||
<div class="docs-content">
|
||||
<h2>Support</h2>
|
||||
<div class="support-grid">
|
||||
@@ -190,7 +156,7 @@
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
</section> -->
|
||||
</div>
|
||||
|
||||
</main>
|
||||
|
||||
@@ -112,7 +112,7 @@ class AppDetailPage {
|
||||
}
|
||||
|
||||
// Contact
|
||||
document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
|
||||
document.getElementById('app-contact') && (document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available');
|
||||
|
||||
// Sidebar info
|
||||
document.getElementById('sidebar-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
|
||||
@@ -123,144 +123,132 @@ class AppDetailPage {
|
||||
document.getElementById('sidebar-pricing').textContent = this.appData.pricing || 'Free';
|
||||
document.getElementById('sidebar-contact').textContent = this.appData.contact_email || 'contact@example.com';
|
||||
|
||||
// Integration guide
|
||||
this.renderIntegrationGuide();
|
||||
// Render tab contents from database fields
|
||||
this.renderTabContents();
|
||||
}
|
||||
|
||||
renderIntegrationGuide() {
|
||||
// Installation code
|
||||
const installCode = document.getElementById('install-code');
|
||||
if (installCode) {
|
||||
if (this.appData.type === 'Open Source' && this.appData.github_url) {
|
||||
installCode.textContent = `# Clone from GitHub
|
||||
git clone ${this.appData.github_url}
|
||||
|
||||
# Install dependencies
|
||||
pip install -r requirements.txt`;
|
||||
} else if (this.appData.name.toLowerCase().includes('api')) {
|
||||
installCode.textContent = `# Install via pip
|
||||
pip install ${this.appData.slug}
|
||||
|
||||
# Or install from source
|
||||
pip install git+${this.appData.github_url || 'https://github.com/example/repo'}`;
|
||||
renderTabContents() {
|
||||
// Overview tab - use long_description from database
|
||||
const overviewDiv = document.getElementById('app-overview');
|
||||
if (overviewDiv) {
|
||||
if (this.appData.long_description) {
|
||||
overviewDiv.innerHTML = this.renderMarkdown(this.appData.long_description);
|
||||
} else {
|
||||
overviewDiv.innerHTML = `<p>${this.appData.description || 'No overview available.'}</p>`;
|
||||
}
|
||||
}
|
||||
|
||||
// Usage code - customize based on category
|
||||
const usageCode = document.getElementById('usage-code');
|
||||
if (usageCode) {
|
||||
if (this.appData.category === 'Browser Automation') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
|
||||
|
||||
async def main():
|
||||
# Initialize ${this.appData.name}
|
||||
automation = ${this.appData.name.replace(/\s+/g, '')}()
|
||||
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
browser_config=automation.config,
|
||||
wait_for="css:body"
|
||||
)
|
||||
print(result.markdown)`;
|
||||
} else if (this.appData.category === 'Proxy Services') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
import ${this.appData.slug.replace(/-/g, '_')}
|
||||
|
||||
# Configure proxy
|
||||
proxy_config = {
|
||||
"server": "${this.appData.website_url || 'https://proxy.example.com'}",
|
||||
"username": "your_username",
|
||||
"password": "your_password"
|
||||
}
|
||||
|
||||
async with AsyncWebCrawler(proxy=proxy_config) as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
bypass_cache=True
|
||||
)
|
||||
print(result.status_code)`;
|
||||
} else if (this.appData.category === 'LLM Integration') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
from crawl4ai.extraction_strategy import LLMExtractionStrategy
|
||||
|
||||
# Configure LLM extraction
|
||||
strategy = LLMExtractionStrategy(
|
||||
provider="${this.appData.name.toLowerCase().includes('gpt') ? 'openai' : 'anthropic'}",
|
||||
api_key="your-api-key",
|
||||
model="${this.appData.name.toLowerCase().includes('gpt') ? 'gpt-4' : 'claude-3'}",
|
||||
instruction="Extract structured data"
|
||||
)
|
||||
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
extraction_strategy=strategy
|
||||
)
|
||||
print(result.extracted_content)`;
|
||||
// Integration tab - use integration_guide field from database
|
||||
const integrationDiv = document.getElementById('app-integration');
|
||||
if (integrationDiv) {
|
||||
if (this.appData.integration_guide) {
|
||||
integrationDiv.innerHTML = this.renderMarkdown(this.appData.integration_guide);
|
||||
// Add copy buttons to all code blocks
|
||||
this.addCopyButtonsToCodeBlocks(integrationDiv);
|
||||
} else {
|
||||
integrationDiv.innerHTML = '<p>Integration guide not yet available. Please check the official website for details.</p>';
|
||||
}
|
||||
}
|
||||
|
||||
// Integration example
|
||||
const integrationCode = document.getElementById('integration-code');
|
||||
if (integrationCode) {
|
||||
integrationCode.textContent = this.appData.integration_guide ||
|
||||
`# Complete ${this.appData.name} Integration Example
|
||||
|
||||
from crawl4ai import AsyncWebCrawler
|
||||
from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
|
||||
import json
|
||||
|
||||
async def crawl_with_${this.appData.slug.replace(/-/g, '_')}():
|
||||
"""
|
||||
Complete example showing how to use ${this.appData.name}
|
||||
with Crawl4AI for production web scraping
|
||||
"""
|
||||
|
||||
# Define extraction schema
|
||||
schema = {
|
||||
"name": "ProductList",
|
||||
"baseSelector": "div.product",
|
||||
"fields": [
|
||||
{"name": "title", "selector": "h2", "type": "text"},
|
||||
{"name": "price", "selector": ".price", "type": "text"},
|
||||
{"name": "image", "selector": "img", "type": "attribute", "attribute": "src"},
|
||||
{"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
|
||||
]
|
||||
// Documentation tab - use documentation field from database
|
||||
const docsDiv = document.getElementById('app-docs');
|
||||
if (docsDiv) {
|
||||
if (this.appData.documentation) {
|
||||
docsDiv.innerHTML = this.renderMarkdown(this.appData.documentation);
|
||||
// Add copy buttons to all code blocks
|
||||
this.addCopyButtonsToCodeBlocks(docsDiv);
|
||||
} else {
|
||||
docsDiv.innerHTML = '<p>Documentation coming soon.</p>';
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
# Initialize crawler with ${this.appData.name}
|
||||
async with AsyncWebCrawler(
|
||||
browser_type="chromium",
|
||||
headless=True,
|
||||
verbose=True
|
||||
) as crawler:
|
||||
addCopyButtonsToCodeBlocks(container) {
|
||||
// Find all code blocks and add copy buttons
|
||||
const codeBlocks = container.querySelectorAll('pre code');
|
||||
codeBlocks.forEach(codeBlock => {
|
||||
const pre = codeBlock.parentElement;
|
||||
|
||||
# Crawl with extraction
|
||||
result = await crawler.arun(
|
||||
url="https://example.com/products",
|
||||
extraction_strategy=JsonCssExtractionStrategy(schema),
|
||||
cache_mode="bypass",
|
||||
wait_for="css:.product",
|
||||
screenshot=True
|
||||
)
|
||||
// Skip if already has a copy button
|
||||
if (pre.querySelector('.copy-btn')) return;
|
||||
|
||||
# Process results
|
||||
if result.success:
|
||||
products = json.loads(result.extracted_content)
|
||||
print(f"Found {len(products)} products")
|
||||
// Create copy button
|
||||
const copyBtn = document.createElement('button');
|
||||
copyBtn.className = 'copy-btn';
|
||||
copyBtn.textContent = 'Copy';
|
||||
copyBtn.onclick = () => {
|
||||
navigator.clipboard.writeText(codeBlock.textContent).then(() => {
|
||||
copyBtn.textContent = '✓ Copied!';
|
||||
setTimeout(() => {
|
||||
copyBtn.textContent = 'Copy';
|
||||
}, 2000);
|
||||
});
|
||||
};
|
||||
|
||||
for product in products[:5]:
|
||||
print(f"- {product['title']}: {product['price']}")
|
||||
|
||||
return products
|
||||
|
||||
# Run the crawler
|
||||
if __name__ == "__main__":
|
||||
import asyncio
|
||||
asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
|
||||
// Add button to pre element
|
||||
pre.style.position = 'relative';
|
||||
pre.insertBefore(copyBtn, codeBlock);
|
||||
});
|
||||
}
|
||||
|
||||
renderMarkdown(text) {
|
||||
if (!text) return '';
|
||||
|
||||
// Store code blocks temporarily to protect them from processing
|
||||
const codeBlocks = [];
|
||||
let processed = text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, lang, code) => {
|
||||
const placeholder = `___CODE_BLOCK_${codeBlocks.length}___`;
|
||||
codeBlocks.push(`<pre><code class="language-${lang || ''}">${this.escapeHtml(code)}</code></pre>`);
|
||||
return placeholder;
|
||||
});
|
||||
|
||||
// Store inline code temporarily
|
||||
const inlineCodes = [];
|
||||
processed = processed.replace(/`([^`]+)`/g, (match, code) => {
|
||||
const placeholder = `___INLINE_CODE_${inlineCodes.length}___`;
|
||||
inlineCodes.push(`<code>${this.escapeHtml(code)}</code>`);
|
||||
return placeholder;
|
||||
});
|
||||
|
||||
// Now process the rest of the markdown
|
||||
processed = processed
|
||||
// Headers
|
||||
.replace(/^### (.*$)/gim, '<h3>$1</h3>')
|
||||
.replace(/^## (.*$)/gim, '<h2>$1</h2>')
|
||||
.replace(/^# (.*$)/gim, '<h1>$1</h1>')
|
||||
// Bold
|
||||
.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
|
||||
// Italic
|
||||
.replace(/\*(.*?)\*/g, '<em>$1</em>')
|
||||
// Links
|
||||
.replace(/\[([^\]]+)\]\(([^)]+)\)/g, '<a href="$2" target="_blank">$1</a>')
|
||||
// Line breaks
|
||||
.replace(/\n\n/g, '</p><p>')
|
||||
.replace(/\n/g, '<br>')
|
||||
// Lists
|
||||
.replace(/^\* (.*)$/gim, '<li>$1</li>')
|
||||
.replace(/^- (.*)$/gim, '<li>$1</li>')
|
||||
// Wrap in paragraphs
|
||||
.replace(/^(?!<[h|p|pre|ul|ol|li])/gim, '<p>')
|
||||
.replace(/(?<![>])$/gim, '</p>');
|
||||
|
||||
// Restore inline code
|
||||
inlineCodes.forEach((code, i) => {
|
||||
processed = processed.replace(`___INLINE_CODE_${i}___`, code);
|
||||
});
|
||||
|
||||
// Restore code blocks
|
||||
codeBlocks.forEach((block, i) => {
|
||||
processed = processed.replace(`___CODE_BLOCK_${i}___`, block);
|
||||
});
|
||||
|
||||
return processed;
|
||||
}
|
||||
|
||||
escapeHtml(text) {
|
||||
const div = document.createElement('div');
|
||||
div.textContent = text;
|
||||
return div.innerHTML;
|
||||
}
|
||||
|
||||
formatNumber(num) {
|
||||
@@ -275,45 +263,27 @@ if __name__ == "__main__":
|
||||
setupEventListeners() {
|
||||
// Tab switching
|
||||
const tabs = document.querySelectorAll('.tab-btn');
|
||||
|
||||
tabs.forEach(tab => {
|
||||
tab.addEventListener('click', () => {
|
||||
// Update active tab
|
||||
// Update active tab button
|
||||
tabs.forEach(t => t.classList.remove('active'));
|
||||
tab.classList.add('active');
|
||||
|
||||
// Show corresponding content
|
||||
const tabName = tab.dataset.tab;
|
||||
document.querySelectorAll('.tab-content').forEach(content => {
|
||||
|
||||
// Hide all tab contents
|
||||
const allTabContents = document.querySelectorAll('.tab-content');
|
||||
allTabContents.forEach(content => {
|
||||
content.classList.remove('active');
|
||||
});
|
||||
document.getElementById(`${tabName}-tab`).classList.add('active');
|
||||
});
|
||||
});
|
||||
|
||||
// Copy integration code
|
||||
document.getElementById('copy-integration').addEventListener('click', () => {
|
||||
const code = document.getElementById('integration-code').textContent;
|
||||
navigator.clipboard.writeText(code).then(() => {
|
||||
const btn = document.getElementById('copy-integration');
|
||||
const originalText = btn.innerHTML;
|
||||
btn.innerHTML = '<span>✓</span> Copied!';
|
||||
setTimeout(() => {
|
||||
btn.innerHTML = originalText;
|
||||
}, 2000);
|
||||
});
|
||||
});
|
||||
|
||||
// Copy code buttons
|
||||
document.querySelectorAll('.copy-btn').forEach(btn => {
|
||||
btn.addEventListener('click', (e) => {
|
||||
const codeBlock = e.target.closest('.code-block');
|
||||
const code = codeBlock.querySelector('code').textContent;
|
||||
navigator.clipboard.writeText(code).then(() => {
|
||||
btn.textContent = 'Copied!';
|
||||
setTimeout(() => {
|
||||
btn.textContent = 'Copy';
|
||||
}, 2000);
|
||||
});
|
||||
// Show the selected tab content
|
||||
const targetTab = document.getElementById(`${tabName}-tab`);
|
||||
if (targetTab) {
|
||||
targetTab.classList.add('active');
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
@@ -471,13 +471,17 @@ async def delete_sponsor(sponsor_id: int):
|
||||
|
||||
app.include_router(router)
|
||||
|
||||
# Version info
|
||||
VERSION = "1.1.0"
|
||||
BUILD_DATE = "2025-10-26"
|
||||
|
||||
@app.get("/")
|
||||
async def root():
|
||||
"""API info"""
|
||||
return {
|
||||
"name": "Crawl4AI Marketplace API",
|
||||
"version": "1.0.0",
|
||||
"version": VERSION,
|
||||
"build_date": BUILD_DATE,
|
||||
"endpoints": [
|
||||
"/marketplace/api/apps",
|
||||
"/marketplace/api/articles",
|
||||
|
||||
Reference in New Issue
Block a user