Build a Robust Scraper with Fallbacks
For handling real-world scraping challenges From the Web Scraping AI Coding Building Block.
Make my web scraper more reliable and handle common problems. Language: [Python, JavaScript, etc.] Current code: [paste your scraper or describe it] Problems I want to handle: 1. Websites that block my requests (403 errors) 2. Elements that sometimes don't exist on a page 3. Rate limiting (too many requests too fast) 4. Network timeouts and connection errors 5. Data that needs cleaning (extra whitespace, weird characters) Requirements: 1. Add retry logic for failed requests (try 3 times before giving up) 2. Use realistic browser headers so I don't look like a bot 3. Add random delays between requests (1-3 seconds) 4. Gracefully skip items with missing data instead of crashing 5. Log what worked and what failed for debugging Optional: Add proxy support for when my IP gets blocked. I'm learning, so explain why sites block scrapers and how these techniques help.