If you are building a B2B contact list for your sales team, you have likely run into the exact same frustrating wall as everyone else: The 120-Result Ceiling.
Why the 120 Limit Exists
When you type a broad keyword like "Real Estate Agencies in Miami", there might be over 3,000 verified agencies operating in that radius. However, Google's server architecture is designed to prioritize speed and bandwidth for human mobile users looking for immediate directions.
As a result, their API will only send the first ~120 results to your browser. Most basic Python scripts, Chrome extensions, and cheap cloud scrapers simply execute a single search, hit that 120-result wall, and stop.
How to Engineer a "No Limits" Scraper
To build a Google Maps scraper with truly no limits, you must fundamentally change how the program interacts with the map. Instead of asking for "All Real Estate Agencies in Miami", the software must ask a thousand highly specific questions.
The Deep-Scan AI Strategy
- Grid Sub-Division: The software calculates the latitude/longitude bounds of Miami and slices it into 400 separate, 2-mile geographic squares.
- Localized GPS Spoofing: The scraper digitally teleports to the center of Grid #1, searches locally, and pulls 120 results just from that tiny 2-mile zone.
- Iterative Execution: It moves to Grid #2, #3, up to #400, accumulating thousands of unique businesses that were hidden from the primary search.
- De-Duplication: The database engine automatically removes duplicates from overlapping boundaries.
This algorithm is exactly what powers the Map Data Extractor.