Best Google Maps scrapers 2026: the complete guide
Extracting local business data from Google Maps is one of the most common web data collection use cases: sales prospecting, market research, competitive monitoring. But it helps to know what the official API actually allows, and where it stops.
What the Google Places API allows, and where it stops
The Google Places API (Text Search and Nearby Search) is the official way to query Google Maps programmatically. Its documentation is clear on one point: each search returns a maximum of 60 results, split across 3 pages of 20, with a `next_page_token` that only becomes usable after a short delay. Beyond that cap, there is no official way to get more results for a single search: you have to split the queried geographic area into smaller sub-areas and multiply the number of calls.
The API also bills every call beyond a monthly free quota granted by Google Cloud, which makes large-volume extraction expensive if billed per call rather than per delivered result.
Why scraping is still used despite the official API
Two reasons explain why most companies that need prospecting databases still go through a scraper rather than the API: cost at scale, and the gap between results returned by the API and those shown in the Google Maps interface itself, which isn't subject to the same pagination caps.
The three criteria that separate a good scraper from a bad one
- ·Data completeness: name, address, phone, website, email when public, rating and review volume
- ·Reliability at scale: a scraper that fails past a few hundred results isn't usable for serious prospecting
- ·Geographic pagination handling: Google Maps caps how much it shows per search, a good tool splits areas automatically instead of leaving you to guess
DIY, no-code, or managed service: what it actually changes
| In-house script | No-code tool | Managed service | |
|---|---|---|---|
| Maintenance against Google layout changes | On you | Depends on the vendor | Handled by the team |
| Verified emails included | To be built | Rarely | Yes, optional |
| Native Sheets / CSV export | To be built | Often yes | Yes |
| Technical knowledge required | High | Low to moderate | None |
What GDPR says about collecting business listings
Collecting publicly accessible professional data (company name, business address, professional phone number) for B2B prospecting is generally compatible with GDPR, provided it relies on legitimate interest, informs data subjects, and honours opt-out requests. France's CNIL has published guidance to that effect on B2B commercial prospecting — it does not, however, cover collecting personal data about private individuals outside a professional context.
How BrandWitness approaches this extraction
Google Maps Leads applies this by default: automatic geographic splitting to get past the per-search result cap, verified emails as an option, and direct export to Google Sheets.
- Google Places API documentation (Text Search, Nearby Search) — pagination limits and next_page_token
- CNIL (French data protection authority) — guidance on B2B commercial prospecting and GDPR