How to Build a Google Maps Scraper in Python Using Apify (Zero Infrastructure)

The Problem: Local Business Data is a Rip-Off If you've ever tried to build a cold outreach list for a local vertical — plumbers in Austin, dentists in Miami, HVAC companies in Chicago — you've hit the same wall: Apollo.io: ~$49/month, and their local business coverage is thin ZoomInfo: enterprise pricing, minimum commits Manual Google Maps scraping: breaks every few weeks, constant proxy management Outsourcing to a VA: slow, inconsistent formatting, still expensive The real issue is that Google Maps has the freshest data. Businesses update their own listings. But scraping Google Maps directly means fighting bot detection, managing proxies, and dealing with a brittle browser automation setup. There's a cleaner way. The Solution: Apify's Managed Google Maps Actor Apify runs managed web scraping infrastructure. Instead of maintaining your own scraper, you call an API, pass your search parameters, and get back structured JSON. The actor we're using: lanky_quantifier/google-maps-scraper It