Getting business data from Google Maps: methods and tools

TL;DR

There are three common ways to get business data out of Google Maps: a dedicated data tool that searches and exports for you, Google’s official Places API (which you query and pay for per request), and manual copy-paste collection. The right choice depends on volume, how structured you need the output, and how much engineering you want to do — and whichever route you take, what matters most is that the export comes back as clean, consistent fields you can actually use.

What does “getting business data from Google Maps” mean?

Google Maps is one of the largest directories of local businesses in the world, with a listing for nearly every shop, clinic, contractor, and restaurant in a given area. Getting business data from it means turning those listings — name, address, phone, website, rating, and so on — into a structured dataset you can sort, filter, and load into other tools, rather than reading them one at a time on screen.

The three main methods

Most people use one of three approaches. They trade off differently on volume, control, and effort.

A dedicated data tool or export

A purpose-built tool sits between you and Google Maps: you specify what you want — a business category and a location — and it returns the matching businesses as a structured file or database sync. You don’t write code or manage API keys; you describe the search and collect the output.

This is the right fit when you want results without building anything, and when you want every search to come back in the same shape so the data is usable across many markets. gtme.business works this way — pick from 3,900+ standardized business categories across 200+ countries, down to the city, and export the results as CSV or sync them to your own database. See how it works for the mechanics.

Google’s official Places API

Google publishes a Places API that lets developers query place data programmatically. It is the official, first-party route, and returns authoritative data straight from Google. The trade-offs: it is built for developers — you write and maintain code, manage API keys and billing, and stitch the raw responses into the shape your workflow needs — and it is priced per request, which grows quickly at volume. It also returns the fields and structure Google defines, which may not match the columns a sales or marketing team actually wants.

If you have engineering resources and want a first-party integration inside a product, the Places API is the canonical choice. If you mainly want a list to work from, the setup cost is often more than the job requires.

Manual collection

The lowest-tech option is to open Google Maps, search a category in an area, and copy each business into a spreadsheet by hand. It needs no tools, no code, and no spend, and for a handful of businesses it is perfectly reasonable.

It stops scaling almost immediately. Copying a few hundred listings by hand is slow, error-prone, and inconsistent — two people collecting the same market produce different columns and different coverage — and the list is stale the moment a business moves, closes, or changes its number. It’s fine for a quick one-off and a poor fit for anything you need to repeat or keep current.

Manual vs automated: when does each make sense?

The honest dividing line is volume and repetition.

Manual makes sense when you need a dozen businesses once, you want to eyeball each listing as you go, or you’re sanity-checking what a market looks like before committing to anything larger. There’s no setup, so for tiny, one-time jobs it’s the fastest path.

Automated makes sense the moment the work repeats or grows. Across multiple cities, multiple categories, or a market you refresh on a cadence, hand-collection becomes the bottleneck — and the inconsistency between manual passes becomes a real cost. An automated search returns the same fields, in the same structure, every time, which is what makes the data resellable, importable, and comparable across markets. Once you’re past a single small list, automation usually wins on both time and quality.

What should a good export actually contain?

The method matters less than the output. A business export is only as useful as the fields it carries and the consistency of its structure. A strong local-business record includes:

• Name and full address — to identify and locate the business.
• Phone and website — the channels you’ll use to reach them.
• Google rating and review count — the columns teams lean on most, because they let you qualify a prospect before reaching out; sort by review volume and you can separate the established players from the long tail.
• Category, GPS coordinates, business hours, and price level — for segmenting, mapping, radius work, and outreach timing.
• A Google Maps link — so anyone can jump back to the original listing to verify it.

gtme.business returns up to 11 fields per business covering exactly these. Just as important as the fields is that every search comes back in the same schema, so you can stack searches across categories and cities into one file without reconciling formats by hand.

CSV or your own database?

Once you have the data, there are two clean ways to keep it. A CSV is the universal deliverable — it drops straight into a spreadsheet, a CRM import, or an outreach tool, and it’s the right format for a one-off list or a campaign kickoff. Every gtme.business plan exports to CSV.

A synced database suits work you repeat. On the Pro and Business plans, gtme.business can sync leads into your own Supabase database, where records are deduplicated and upserted — so when you re-run a market next month, existing businesses are updated in place and only genuinely new ones are added. That keeps the table current instead of accumulating duplicates, which is exactly the freshness problem that sinks a hand-built list.

Is scraping Google Maps allowed?

This is the question people ask first, and it doesn’t have a one-line answer. Obligations vary by jurisdiction — including under data-protection regimes like the GDPR — and by the terms of the platforms involved. We don’t offer a legal verdict here, either way. Before collecting, storing, or using business data, review the laws that apply to you, the relevant platform terms, and consult counsel where the answer isn’t clear. Treat that review as part of the project, not an afterthought.

How gtme.business fits in

gtme.business is the data-tool route: you choose categories and locations, run the search, and export the results as CSV or sync them to your own Supabase, across 3,900+ categories and 200+ countries. The credit model is simple — locations × search terms = credits, and one credit returns up to ~500 business results. Plans are $35 (Starter), $75 (Pro), and $150 (Business) per month, and new accounts get 20 free credits with no card so you can run a real search before committing. For who uses it and how, see the use cases.

Frequently asked questions

What’s the difference between a data tool and the Places API?

A data tool does the searching and exporting for you — you describe a category and location and collect structured results, with no code or API keys. The Places API is a developer interface you query programmatically and pay for per request; it’s first-party and authoritative, but it requires engineering to set up and to shape the raw responses into a usable list. Pick the tool if you want results, the API if you’re building a product integration.

Can I get business data from Google Maps without coding?

Yes. A dedicated tool removes the code entirely — you specify what you want and export the output as CSV or a database sync. CSV export needs nothing but a spreadsheet, and syncing to a database like Supabase is a connection step rather than a development project.

What fields can I expect in an export?

A good export covers name, full address, phone, website, Google rating, review count, category, GPS coordinates, business hours, price level, and a link back to the original listing — up to 11 fields per business with gtme.business. The rating and review count are the fields most teams use to qualify prospects before reaching out.

How much business data can I pull?

That depends on the method. With gtme.business the credit model is locations × search terms = credits, and one credit returns up to ~500 business results — so a single category in a single city is one credit. New accounts start with 20 free credits, and paid plans run from $35 to $150 per month.

Is scraping Google Maps legal?

We don’t give a verdict, because it depends on where you are and what you’re doing. Obligations vary by jurisdiction — including under the GDPR — and by the platform terms involved. Review the applicable laws and terms, and consult counsel before collecting, storing, or using the data.

How do I keep the data from going stale?

Re-run the same search on whatever cadence the market warrants. For CSV delivery you send a refreshed file; for a database sync on Pro and Business plans, records are deduplicated and upserted so the table is updated in place rather than re-imported. Either way you’re re-running a defined search, not re-typing a spreadsheet.