Google Maps scrapers compared
There are three ways to get business data out of Google Maps, and they fail in different places. This page compares the models rather than ranking brands, because the right answer depends on your volume and how often you run it.
Last reviewed
The short answer
Occasional small lists: a browser extension, usually free. Repeated city-scale lists: a desktop application, because the licence is flat and thoroughness costs nothing extra. Scheduled or programmatic extraction: a cloud API, and accept that cost scales with volume.
We build one of these: Lead Finder, a desktop extractor. The comparison below states where that model loses, because a comparison that never does is not a comparison.
| Model | Pricing shape | Practical volume | Requests come from | Best for |
|---|---|---|---|---|
| Desktop application Lead Finder, G-Business Extractor, Botsol | Flat annual licence | High. Bounded by runtime, not billing. | Your own connection | Recurring city-scale extraction on a predictable budget |
| Cloud API / platform Apify, Outscraper | Per row or per compute unit | Effectively unlimited, at linear cost | Provider proxy pool | Scheduled or programmatic extraction inside a data pipeline |
| Browser extension Various Chrome extensions | Free tier, then subscription | Low. Typically a few hundred rows per session. | Your own connection | Occasional one-off lists of a single neighbourhood |
Desktop application
Where it loses: Your machine must stay on for long jobs. No API to call from a pipeline.
Cloud API / platform
Where it loses: Cost scales with thoroughness, which quietly discourages full coverage.
Browser extension
Where it loses: Tied to an open tab, and constrained by whatever the page has already loaded.
Why per-row pricing changes behaviour
The interesting difference between flat and metered pricing is not the total. It is what it does to your decisions. When every extra thousand rows costs money, you narrow the search area, skip the marginal suburbs, and run the job once rather than refreshing it. That is a rational response to the pricing, and it produces a worse list.
Under a flat licence the cheapest and most thorough option are the same option, so there is no reason not to sweep the whole metro and re-run it next quarter. If your volume is small and stays small, none of this matters and metered pricing is simply cheaper.
What none of these tools can do
No extractor can produce an email address that the business has not published. Tools that advertise email extraction are visiting the website listed on the Maps profile and looking for a published address. Hit rates in the 20 to 40 percent range are normal, and a tool claiming near-complete email coverage is either guessing patterns or reselling a third-party database.
Nor can any of them tell you whether a listing is current. Google Maps carries closed and stale listings, and every extractor inherits them. Budget for verification on anything you intend to call.
Choosing on total cost, not sticker price
Work out your realistic annual row count first, then compare. Below roughly 10,000 rows a year, metered cloud pricing usually wins outright. Above roughly 25,000, a flat licence is typically cheaper by a wide margin. Between the two it is close enough that support, export format and how much your time is worth should decide it.