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How I Built a Website Contact Scraper That Hit 11,000+ Runs
How-ToProgramming Languages

How I Built a Website Contact Scraper That Hit 11,000+ Runs

via Dev.to Pythonapify forge3h ago

I've been building web scraping actors on Apify for a while now. Over 170 public actors, 93 MCP intelligence servers, the whole thing. But one actor keeps outperforming everything else in my portfolio: Website Contact Scraper . It's hit 11,516 runs, 236 users, and a 99.8% success rate. Not the most exciting numbers you'll ever hear, but for a single-purpose scraping tool on Apify's marketplace? That's solid traction. And the reason it works is dead simple: it does one thing well. You give it a list of business website URLs. It gives you back emails, phone numbers, team member names with job titles, and social media links. One structured JSON record per domain. No login required, no API keys to configure, no code to write. This post is about how it works under the hood, what I learned building it, and why it keeps getting picked over alternatives that cost 10x more. What does Website Contact Scraper actually extract? Website Contact Scraper crawls business websites and returns structure

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