Web Scraping
MacScrape's web scraping functionality is powered by our custom Forager module, which efficiently extracts data from websites.
Key Features
- Intelligent Crawling: Automatically follows relevant links
- Content Extraction: Pulls out main content, ignoring boilerplate
- Metadata Parsing: Extracts titles, descriptions, and other metadata
- JavaScript Rendering: Supports scraping of dynamic content
- Rate Limiting: Respects website's crawl rates to avoid overloading
Scraping Process
graph TD
A[URL Input] --> B[Fetch Page]
B --> C{Is JavaScript?}
C -->|Yes| D[Render with Headless Browser]
C -->|No| E[Parse HTML]
D --> E
E --> F[Extract Content]
F --> G[Follow Links]
G --> B
F --> H[Store Data]
Configuration Options
Option | Description | Default |
---|---|---|
max_depth | Maximum depth to crawl | 3 |
follow_external | Follow external links | false |
respect_robots_txt | Obey robots.txt rules | true |
javascript_support | Enable JavaScript rendering | false |
Usage Example
from mac_scrape import Forager
forager = Forager(max_depth=2, javascript_support=True)
results = forager.crawl("https://example.com")
for page in results:
print(f"Title: {page.title}")
print(f"Content: {page.main_content[:100]}...") # First 100 chars
Performance Metrics
Here's a comparison of MacScrape's Forager against other popular web scraping tools:
graph TD
A[Web Scraping Tools]
A --> B[MacScrape Forager]
A --> C[BeautifulSoup]
A --> D[Scrapy]
B --> E[Speed: 8/10]
B --> F[Ease of Use: 9/10]
B --> G[Features: 9/10]
C --> H[Speed: 6/10]
C --> I[Ease of Use: 10/10]
C --> J[Features: 7/10]
D --> K[Speed: 10/10]
D --> L[Ease of Use: 7/10]
D --> M[Features: 10/10]
Best Practices
- Always respect the website's
robots.txt
file - Implement proper error handling for network issues
- Use caching to avoid unnecessary repeated requests
- Regularly update your user agent string
Next Steps
Explore how MacScrape uses AI to analyze the scraped data in the AI Analysis section.