Update Documentation
This commit is contained in:
120
docs/md_v2/basic/simple-crawling.md
Normal file
120
docs/md_v2/basic/simple-crawling.md
Normal file
@@ -0,0 +1,120 @@
|
||||
# Simple Crawling
|
||||
|
||||
This guide covers the basics of web crawling with Crawl4AI. You'll learn how to set up a crawler, make your first request, and understand the response.
|
||||
|
||||
## Basic Usage
|
||||
|
||||
Here's the simplest way to crawl a webpage:
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from crawl4ai import AsyncWebCrawler
|
||||
|
||||
async def main():
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
print(result.markdown) # Print clean markdown content
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
## Understanding the Response
|
||||
|
||||
The `arun()` method returns a `CrawlResult` object with several useful properties. Here's a quick overview (see [CrawlResult](../api/crawl-result.md) for complete details):
|
||||
|
||||
```python
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
|
||||
# Different content formats
|
||||
print(result.html) # Raw HTML
|
||||
print(result.cleaned_html) # Cleaned HTML
|
||||
print(result.markdown) # Markdown version
|
||||
print(result.fit_markdown) # Most relevant content in markdown
|
||||
|
||||
# Check success status
|
||||
print(result.success) # True if crawl succeeded
|
||||
print(result.status_code) # HTTP status code (e.g., 200, 404)
|
||||
|
||||
# Access extracted media and links
|
||||
print(result.media) # Dictionary of found media (images, videos, audio)
|
||||
print(result.links) # Dictionary of internal and external links
|
||||
```
|
||||
|
||||
## Adding Basic Options
|
||||
|
||||
Customize your crawl with these common options:
|
||||
|
||||
```python
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
word_count_threshold=10, # Minimum words per content block
|
||||
exclude_external_links=True, # Remove external links
|
||||
remove_overlay_elements=True, # Remove popups/modals
|
||||
process_iframes=True # Process iframe content
|
||||
)
|
||||
```
|
||||
|
||||
## Handling Errors
|
||||
|
||||
Always check if the crawl was successful:
|
||||
|
||||
```python
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
if not result.success:
|
||||
print(f"Crawl failed: {result.error_message}")
|
||||
print(f"Status code: {result.status_code}")
|
||||
```
|
||||
|
||||
## Logging and Debugging
|
||||
|
||||
Enable verbose mode for detailed logging:
|
||||
|
||||
```python
|
||||
async with AsyncWebCrawler(verbose=True) as crawler:
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
```
|
||||
|
||||
## Complete Example
|
||||
|
||||
Here's a more comprehensive example showing common usage patterns:
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from crawl4ai import AsyncWebCrawler
|
||||
|
||||
async def main():
|
||||
async with AsyncWebCrawler(verbose=True) as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
# Content filtering
|
||||
word_count_threshold=10,
|
||||
excluded_tags=['form', 'header'],
|
||||
exclude_external_links=True,
|
||||
|
||||
# Content processing
|
||||
process_iframes=True,
|
||||
remove_overlay_elements=True,
|
||||
|
||||
# Cache control
|
||||
bypass_cache=False # Use cache if available
|
||||
)
|
||||
|
||||
if result.success:
|
||||
# Print clean content
|
||||
print("Content:", result.markdown[:500]) # First 500 chars
|
||||
|
||||
# Process images
|
||||
for image in result.media["images"]:
|
||||
print(f"Found image: {image['src']}")
|
||||
|
||||
# Process links
|
||||
for link in result.links["internal"]:
|
||||
print(f"Internal link: {link['href']}")
|
||||
|
||||
else:
|
||||
print(f"Crawl failed: {result.error_message}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
Reference in New Issue
Block a user