Scrap Google Maps Listings with One API Call
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- Elapsed
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- Exit country
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This console sends a real request and shows you the real response. Five live fetches per session, and the sample targets run as often as you like.
What one call returns
| Target | Fields you get back |
|---|---|
| Place listing | name, address, latitude, longitude, category, rating, review count, price level, phone, website, hours, place identifier |
| Search in an area | the list of places for a term and a location, paginated, with position |
| Reviews | rating, text, date, response from the owner where one exists |
| Photos | image URLs attached to the listing |
The map interface is drawn by scripts, so a plain fetch returns nothing usable. Browser rendering and a wait for the results panel are parameters of the request, which is the whole difference.
Local results need a local request
- Search term plus a city, a region or a coordinate pair with a radius.
- Country and city level exit locations, because a local result set depends on where the visitor is.
- Language parameter, so categories and hours come back in the language you report in.
- Pagination across the full result set rather than the first screen.
The jobs that pay for local data
Lead lists for a sales team: every business in a category and an area, with website and phone where the listing shows them.
Market and footprint analysis: how many competitors operate in a district, how they rate, when they open.
Franchise and multi location audits: checking that every branch of your own brand shows the right address and hours.
Review monitoring across locations, where the trend across branches is the finding.
Scale and limits
One place listing is one successful request against your monthly limit, so a scan of a category across fifty cities is arithmetic you can do before you start. Scheduled jobs on Growth and above refresh the same set on a schedule, and only successful responses count, which is explained on the best web scraping api pricing page.
Business listings carry phone numbers and names, and review text is written by people, so data protection obligations follow the results into your database. The boundaries are set out in is web scraping legal, and the platform terms you accepted, if you accepted any, can bind you further.