Google Maps data scraper: the mechanics underneath

How does a Google Maps data scraper work?

Lead Finder works by issuing many ordinary searches rather than one large request, and that design follows directly from how Google Maps behaves. A search returns roughly 120 results and then stops, so the scraper divides the target area into a grid of smaller cells and issues a separate search for each, which keeps every individual query under the ceiling. The same business frequently appears in several adjacent cells, so results are merged and deduplicated on place ID, the stable identifier Google assigns each listing. Pacing matters throughout: requests arriving faster than a person could plausibly generate them are what triggers interruption, so a sweep that runs steadily for an hour completes where one that races finishes early and incomplete.

Why place ID and not name or address

Place ID is the only stable identifier in the data. Business names change, get abbreviated differently between listings, and repeat legitimately across chain branches. Addresses are shared by every business in a coworking building, a medical centre or a shopping arcade, and are hidden entirely for service-area businesses.

Deduplicating on either of those produces silent data loss that looks like tidying. Place ID collapses genuine duplicates, the same listing returned by two adjacent cells, and leaves genuinely separate businesses intact even when they share everything else.

What causes interruption

Request rate is the main factor. A sweep issuing searches far faster than human browsing generates the pattern that gets interrupted, so pacing is a feature rather than a limitation, and a tool that appears slower frequently completes more.

Connection characteristics matter secondarily. A desktop tool runs from your own connection, which behaves like ordinary browsing; hosted services run from datacentre addresses and manage this differently, which is part of what their per-row pricing covers.

Where grid sweeping still misses things

A grid finds what Google returns for the terms you searched. Businesses whose primary category differs from your term are absent regardless of how fine the grid is, which is why multiple term passes matter more than resolution past a certain point.

Service-area businesses also distort cell counts, appearing across every cell their radius touches. Place ID deduplication corrects the final total, but any reading taken before the merge overstates density, sometimes substantially in trades like plumbing or driving instruction.

Related reading: pacing and interruption in detail , why place ID is the key column .