The Challenge: The 120-Result Limitation per Query
Google Maps is the world's most comprehensive, continuously updated directory of physical businesses. However, Google limits standard searches to approximately 120 pins per query viewport to deter data harvesting. To extract 50,000 businesses across a metropolitan city like Mumbai or Kolkata, one must engineer a Micro-Grid Coordinate Decomposition Algorithm.
1. Spatial Polygon Subdivision
Instead of querying "Restaurants in Kolkata", our software overlays a geographic bounding box divided into a 500-meter x 500-meter hexagonal matrix. The crawler navigates to each localized latitude/longitude coordinate pair, querying at a high zoom level (e.g. @22.5726,88.3639,17z). This forces Google Maps to reveal every hyper-local micro-merchant without hitting the 120-pin cap.
2. Handling Dynamic Lazy-Loading and Virtual DOM
Google Maps relies on virtualized scroll containers. The crawler must execute precise mouse-wheel scroll events inside the div[role="feed"] element, awaiting the asynchronous mutation observer before capturing card metadata (Business Name, Phone, Rating, Review Count, Category, Address, Website).
3. Residential Proxy Rotation & Fingerprint Spoofing
Datacenter IPs trigger immediate CAPTCHA blocks. Utilizing rotating residential proxies combined with fingerprint spoofing (randomizing WebGL canvas, user-agent strings, audio context, and screen resolution) enables 24/7 continuous extraction without IP blacklisting.
