How to extract Google Maps business data

Every business on Google Maps publishes a listing: a name, a category, an address, often a phone number, sometimes a website, opening hours and a rating. Extracting that data means turning those public listings into rows you can sort, filter and export.

It does not mean opening a business and reading private information. A listing is what the business chose to publish to Maps users. The value of extracting it is scale: comparing hundreds of businesses in a market, or building an outbound list, is not practical by hand.

• •Define the market. A query like "dental clinic" plus a place is the unit of work. The tighter the query and area, the more relevant every row is.
• •Decide the budget. Credits are consumed per saved business, so the maximum list size is the number to choose before you run. Gmap Data shows the maximum cost up front.
• •Decide the destination. Know whether the list is going into a spreadsheet for research, or a CRM for outreach. That determines which fields matter to you.

1. 1

   Search a defined area

   Enter a query and select a location. For a city, choose a radius that covers the market without spilling far beyond it. For a broad market, a country campaign walks the area systematically.

2. 2

   Set the result cap

   Choose the maximum number of businesses you want to save. The cap is also limited by your remaining credits, so a run cannot overdraw the account.

3. 3

   Run the search

   The run is queued and executed by a dedicated worker. Wide searches are split into overlapping areas and deduplicated as they go.

4. 4

   Review the saved rows

   Check categories, addresses and statuses for obvious mismatches. Deduplication by place id means the same place is only saved once, while branches of one brand stay separate.

5. 5

   Enrich and export

   Optionally run email discovery on the saved businesses, then export CSV to the spreadsheet or CRM you chose.

The exact fields vary by listing, but a saved business can carry all of the following. Empty cells mean the listing did not publish that field.

• •Identity: business name, Google place id, Google Maps link, Google CID
• •Location: full and short address, street, district, city, state, postal code, country
• •Contact surface: phone numbers in national and international format, website and domain
• •Profile: primary category and all categories, rating, review count, price level, business status
• •Operations: opening hours, current hours and time zone
• •Attributes: payment, parking and accessibility options, service-area flags, editorial summary
• •Contacts: discovered emails with source, quality class and verification evidence, when enrichment has run

• •Fewer results than the cap: the area may not contain more unique businesses for that query, or coverage is exhausted. This is a real answer, not a failure.
• •Duplicate-looking rows: same brand, different address means different branches, and both are legitimate. Exact duplicates by place id are removed automatically.
• •Missing phone or website: the listing does not publish it. No extraction tool can invent data that is not there.
• •Changed details between runs: businesses edit listings. A monthly refresh with skip-recently-seen keeps a list current without paying for rows you already have.
• •A run that stops early: the diagnostics show the recorded reason, such as reaching the target, exhausting coverage or hitting the credit cap.

Gmap Data performs searches and place lookups through Google's official Places APIs and carries the attribution notice Google requires on exported Google-derived fields.

If you build your own extraction tooling instead, review the Google Maps Platform terms before you extract, store or reuse data - the rules cover caching, derived content and display. Whichever route you take, how you use the resulting business data is your responsibility, including the outreach and privacy rules that apply in your market.