You already have the websites. What you don't have is everything Google Maps knows about those businesses. Hand over a list of domains and get back the Maps place each one belongs to - the listing, its location and its public profile - so a column of URLs becomes a proper business record.
The lookup runs the other way round from a normal Maps search. Instead of a category and a city, the input is the website - and the output is the listing that website belongs to.
Domains with no Google Maps listing come back flagged rather than silently dropped, so your row count still reconciles against the list you put in.
Most lists begin life as websites - a CRM export, a signup log, a conference attendee sheet. This turns that column into a Maps listing without anyone searching by hand.
A domain tells you nothing about where a business actually operates. The matched listing carries the address, the coordinates and the public profile behind it.
Unmatched domains are returned and flagged, so you can see coverage on your own list instead of guessing why the export came back shorter than the input.
Each match is returned as a Google Maps place record - the same shape the Google Maps Scraper produces, because it is the same underlying listing.
We don't print a column list for this service. There is no run export behind it to check one against, and a list that drifts out of step with the real file is worse than no list at all. The matched record is an ordinary Google Maps listing - the business, where it is, and what its public profile says.
A few examples of how teams use a domain-first lookup.
A CRM export or signup log usually has a website and little else. Matching each domain to its Maps listing adds the address, the coordinates and the public business profile - turning a thin record into something a rep can act on.
Run your account list through and see which domains resolve to a Google Maps place and which don't. Coverage itself is the finding - it separates the businesses with a local presence from the ones without.
With coordinates on every matched row, a list of websites becomes something you can plot - useful for territory planning, catchment analysis or simply seeing where a segment clusters.
No subscription, no minimum. Your first 500 rows are on us - after that, pay-as-you-go.
Every new account, one-time. No credit card required. All scrapers unlocked, full feature set.
Roughly $2 per 1,000 matched places. The pre-flight estimator shows row count and credit cost before a run starts - no surprises, no compute units to translate.
Volume pricing, SLAs, dedicated workers and bespoke onboarding for very large lists or ongoing runs. Tell us your numbers and we'll quote.
LIVESCRAPER10 at checkout.A domain match is usually the first step, not the last.
The search-first direction: give it a category and a city and get every business in that area. Its data dictionary is also the canonical field reference for matched places.
You already have the domains - point this at the same list to pull emails, phone numbers and social handles from those websites alongside the Maps listing.
Short answer: yes, when you only collect publicly visible listing data - and that's all we ever do.
The lookup reads the same public Google Maps listing any logged-out visitor sees; the only difference is that the starting point is a website rather than a search box. As long as the data is publicly available and the process doesn't disrupt the site, there are no federal laws prohibiting it.
We follow GDPR principles by default, run no third-party trackers on the data layer, and your exports auto-delete after 30 days.
The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.
500 one-time free rows on every new account - no expiry. After that it's $0.002 per row, pay-as-you-go - no card on file until you say so.
Livescraper's Google Maps Search by Domains runs the Maps lookup in reverse. Instead of searching a category in a city, you submit the websites you already hold and get back the Google Maps place each one belongs to - no code, no manual searching, no copying listings one at a time.
Every match is returned as a Google Maps place record, the same structure the Google Maps Scraper produces, because it is the same underlying listing. That means the business name, the full address and its components, the coordinates, the stable place identifiers and the rest of the public profile all arrive in a shape your existing sheets and pipelines already understand.
Sales operations teams use it to fill in CRM exports and signup logs that carry a website and little else. Operations teams run an account list through to see which businesses have a local presence at all. Research teams use the coordinates on every matched row to plot a domain list on a map for territory or catchment work.
Domains with no Google Maps listing are returned and flagged rather than quietly dropped, so coverage on your own list is visible instead of inferred. Start free - your first 500 rows cost nothing and need no credit card. See pricing for current rates.