How to Scrape Yellow Pages Business Data (2026 Guide)
In this video, I walk you through everything you need to know about scraping Yellow Pages business data using Python. we cover why Yellow Pages is still one of the best sources for B2B lead generation, what data you can extract, and how to build a scraper that actually works at scale.
Topics covered:
Why scrape Yellow Pages and what use cases it serves
What data fields you can extract from listings (names, phones, addresses, ratings, websites)
How Yellow Pages search results are structured and paginated
Building a basic scraper with Python, requests, and BeautifulSoup
Scraping business detail pages for richer data
Multi-location scraping across cities and industries
Handling anti-scraping measures like rate limiting and CAPTCHAs
Proxy rotation and user-agent rotation strategies
Data cleaning and deduplication
Alternative approaches (SerpApi, Outscraper, ScrapingBee)
Similar directories (Yelp, Google Maps, BBB, Manta, Whitepages)
Legal and ethical considerations
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