Use Cases
Web Scraping
Extract structured data from websites
Overview
Web scraping lets you extract structured data from websites. Browserbase provides a reliable browser infrastructure that helps you build scrapers that can:
- Scale without infrastructure management
- Maintain consistent performance
- Avoid bot detection and CAPTCHAs with Browserbase’s stealth mode
- Provide debugging and monitoring tools with session replays and live views
This guide will help you get started with web scraping on Browserbase and highlight best practices.
Scraping a website
Using a sample website, we’ll scrape the title, price, and some other details of books from the website.
Follow Along: Web Scraping Example
Step-by-step code for web scraping
Code Example
Example output
Best Practices for Web Scraping
Follow these best practices to build reliable, efficient, and ethical web scrapers with Browserbase.
Ethical Scraping
- Respect robots.txt: Check the website’s robots.txt file for crawling guidelines
- Rate limiting: Implement reasonable delays between requests (2-5 seconds)
- Terms of Service: Review the website’s terms of service before scraping
- Data usage: Only collect and use data in accordance with the website’s policies
Performance Optimization
- Batch processing: Process multiple pages in batches with concurrent sessions
- Selective scraping: Only extract the data you need
- Resource management: Close browser sessions promptly after use
- Connection reuse: Reuse browsers for sequential scraping tasks
Stealth and Anti-Bot Avoidance
- Enable Browserbase Advanced Stealth mode: Helps avoid bot detection
- Randomize behavior: Add variable delays between actions
- Use proxies: Rotate IPs to distribute requests
- Mimic human interaction: Add realistic mouse movements and delays
- Handle CAPTCHAs: Enable Browserbase’s automatic CAPTCHA solving
Next Steps
Now that you understand the basics of web scraping with Browserbase, here are some features to explore next:
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