New ask Hacker News story: Quick but powerful research for AI agents with data scrapping and selenium

Quick but powerful research for AI agents with data scrapping and selenium
4 by alexvomwald | 1 comments on Hacker News.
got curious about what software businesses actually use and how much revenue they might be pulling in, so I built a scraper to dig into it. Using Google Maps listings, reviews, and booking systems, I mapped out an industry’s landscape. I scraped businesses across the U.S., analyzed reviews to estimate customer volume and revenue, and tracked booking software by checking subdomains and site elements. Connecting the dots between businesses and their software providers, I estimated MRR, ARR, and potential exit multiples. This gave a solid market overview, showing which booking software is most common, how tech-savvy businesses are, and rough revenue estimates based on customer activity. I put everything—scraper code, SQL tables, and sample data—on GitHub if you want to check it out or improve it. GitHub Repo: github.com/alexdelbosque/data-crawler-smbs Has anyone else done something like this? How would you make it better? Let’s swap ideas!

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