Google Maps data extraction
Google Maps business listings scraper
A business listing is more than a name and a pin. It carries category, hours, contact routes, photos, booking links and a set of signals about how well the owner maintains it. Capturing the whole record, rather than just the contact fields, is what makes the data useful for research and for spotting neglected listings.
What you get
- The full listing record rather than name and phone alone
- Opening hours, category and booking links where published
- Signals for incomplete listings: no website, no hours, no category
- Address and coordinates for mapping and territory work
- Whole-category capture across a defined area
- Consistent records so listings can be compared against each other
Which fields make up a complete listing
Name, primary category, address, phone, website, opening hours, rating, review count, the Maps URL and a booking or ordering link where the business has connected one. Coordinates come along where Maps exposes them. Taken together these describe both the business and how seriously it treats its own listing, which is the part most exports throw away.
Incomplete listings are the interesting ones
A listing with no website, no opening hours and no category assigned is a business that has never claimed or maintained its Google presence. Those are the easiest local marketing conversations to start, because the gap is visible and objective. Filtering for missing fields turns the export into a prospect list rather than a directory, and the pitch is simply showing the owner what their listing looks like.
Listings for businesses that no longer exist
Closed businesses stay on Maps for a long time, sometimes marked and sometimes not. Any full-category capture will include some. Low review activity alongside an old-looking record is a hint, but the data cannot confirm it. If the list is going to a calling team, accept that a portion of it is stale and treat a disconnected number as information rather than a data failure.
Chains, branches and duplicate records
A chain produces one listing per branch, which is correct and should not be collapsed. Separately, some businesses genuinely have duplicate listings on Maps, usually from a move or a re-registration. Deduplication works on place identity so it keeps real branches apart, but genuine Google-side duplicates will survive into the export and need a manual eye if branch counts matter.
Building a database that stays useful
Capture a defined area and category completely rather than sampling, date every export, and keep the Maps URL on every row so any record can be re-checked at source. Those three habits are what separate a database you can still trust in six months from a spreadsheet nobody wants to be responsible for.
Frequently asked questions
What does a complete listing record include?
Name, category, address, phone, website, opening hours, rating, review count, booking link where present, coordinates and the Maps URL.
How do I find businesses that neglect their listing?
Filter for missing fields. No website, no hours or no category assigned marks a listing the owner has never claimed or maintained.
Will closed businesses appear in the export?
Some will. Google keeps listings for closed businesses for a long time, and the data cannot reliably confirm whether a business is still trading.
Are chain branches merged into one row?
No. Deduplication works on place identity, so each branch stays its own row. Genuine Google-side duplicate listings can still survive and need a manual check.
Why keep the Maps URL in the export?
So any row can be verified at source later. It is the cheapest way to make a database auditable months after it was built.