Dev Tames Google Places API's Pagination Nightmares into a Duplicate-Free, Resumable Beast – No Scraping Required

A developer has created a Google Places extraction tool that can scale to handle large datasets, such as extracting data on barbers across the UK, including phone numbers, and exporting to CSV. The tool uses the official Google Places API, which provides stability, legal clarity, and predictable failures, but also comes with rate limits and costs per request. To overcome these limitations, the tool breaks down geography into controlled units, treats pagination and deduplication as core logic, and makes cost and failure visible early. The tool can handle 200+ cities and regions, and is designed to be country-agnostic, with no scraping or SaaS involved. The developer notes that predictability is key at scale, and the tool trades raw speed for predictability by limiting pages per location and inserting delays between page requests. This approach is significant in the industry as it provides a reliable and cost-effective way to extract Google Places data at scale.