Web Scraping with AI¶
AI-assisted web scraping uses AI coding tools to write, debug, and maintain scripts that collect data from websites — a common task in economics research for gathering data not available through standard databases.
Context & Background¶
Web scraping is essential for research that requires data from government websites (EDGAR, FRED), news sources, social media, or organizational websites. AI tools transform scraping from a specialized programming task into something accessible to researchers with limited coding experience.
AI assists with scraping by:
- Writing scraping code: Generating Python scripts (BeautifulSoup, Selenium, Scrapy) from natural language descriptions
- Handling edge cases: Adapting to different page layouts, pagination, and anti-bot measures
- Data cleaning: Processing scraped HTML into structured datasets
- Maintenance: Updating scrapers when website layouts change
Practical Implications¶
- Check terms of service: Ensure scraping is permitted by the website's TOS and robots.txt
- Be polite: Implement rate limiting to avoid overwhelming servers
- Plan for maintenance: Websites change; AI can help update scrapers when they break
- Validate scraped data: Always spot-check scraped data against the source website