How to Find New Businesses on Google Maps (2026)

What Google Maps shows about a new business

Less than you'd expect. Owners can enter an opening date on their Business Profile, and Google sometimes labels a profile as recently opened when they do. The field is optional, many owners skip it, and you can't search or sort by it. A category search returns the new bakery and the forty-year-old bakery in the same list, ranked by relevance, distance and prominence. Prominence works against you here, because a new listing has almost none.

So "new" has to be inferred. Two signals do the work:

• Few reviews: Every listing starts at zero. A low review count is a quick proxy for a young listing, and it's something you can filter on.
• Not there last time: A listing that's in this month's scrape and wasn't in last month's reached Maps in between. This is the more reliable signal, and it needs two scrapes.

Method 1: cap the review count

This is the one-scrape version. In MapsHarvest, pick the category and city, then set Max reviews in the filters. The dashboard offers 10, 25, 50, 100, 200 and 500; for new businesses, use 10 or 25. The filter runs during the scrape, so listings over the cap never reach your file. Listings with no reviews at all pass the cap, which is what you want. Leave minimum rating off, because that filter drops listings that have no rating yet.

Through the API (Growth plan and up), the same filter is the max_reviews parameter on POST /scrape.

The result is a list of young-looking listings, and it comes with a known flaw: plenty of old businesses have few reviews. A wholesale bakery, an industrial supplier or a solo accountant can run for years with four reviews. The cap works well in categories where customers review often (restaurants, salons, gyms, dentists) and poorly in trades where they don't. Use it when you want a list today. Use the second method when you plan to keep doing this.

Method 2: scrape a baseline, then re-run

The reliable way to know a listing is new is to know it wasn't there before. That takes one large scrape up front and small ones after it.

More on step two in the guide to the 120 results limit, including the order to split a search in.

Doing the diff by hand

If your tool returns every listing on every run, or you're comparing two exports you already have, the diff is one formula. Put the old export on a sheet named Baseline, the new one on another sheet, and add a column to the new one:

=COUNTIF(Baseline!I:I, I2)=0

This assumes the Google Maps URL sits in column I of both sheets; swap in whichever column holds it in your export. TRUE means the listing isn't in the baseline. Match on the Maps URL, not the business name: names get edited, and two branches of one chain share a name.

What looks new but isn't

Both methods find listings that are new to Maps or new to you. That isn't always a business that just opened. These are the cases to expect:

• A relocated business: Moving to a new address often produces a new listing with a new Maps URL. The business is years old, but the address is new, and so are its landlord, signage, internet line and insurance needs. For many offers that's still a lead worth having.
• An old business that just got listed: Trades that run on referrals can operate for a decade before anyone creates a Business Profile. Few reviews, first seen this month, and not new at all. The website column helps: a site with years of history gives it away.
• A listing your baseline never saw: Google reorders results between searches, and anything past the 120-place cap is invisible to that search. Splitting the baseline shrinks this problem; the review cap on re-runs catches most of what's left.
• A second listing for an existing business: A new practitioner at a dental clinic or a newly listed department of a dealership gets its own listing on the same phone line. Group new rows by phone number before you call.
• A new branch of a chain: The location is new; the decisions are made at head office. Keep these if you sell to franchisees or local managers and drop them if you need an owner.

The phone-number grouping and the chain check are the same ones used in cleaning any Google Maps lead list; that guide has the formulas.

Which new listings to contact first

A re-run in a mid-sized city returns a short list, so you can afford to read it. These columns tell you the most about a new row:

If the no-website rows are the ones you sell to, the guide to finding businesses without a website covers that filter on its own.

How often to re-run, and on which plan

The right interval depends on how often businesses in the category open and how quickly a new owner commits to vendors:

How the re-run gets triggered depends on the plan:

• Free and Starter: Run it by hand. The free plan's 50 credits are enough to try the review cap on one category in one town. Starter is $19/mo for 1,000 credits.
• Growth ($49/mo, 5,000 credits): Call POST /scrape from your own cron job or a Zapier, Make or n8n schedule, and have a webhook deliver the new rows when the job finishes.
• Scale ($129/mo, 20,000 credits): Scheduled scrapes are built in. Save the search once and set it to run daily, weekly or monthly.

Wiring the output into a CRM or a Slack channel is covered in the guide to automating Google Maps lead generation.

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