Google Maps is the most complete directory of local businesses that exists, and it is free to read. Every plumber, dentist, med spa and roofing company that wants customers has a listing with a name, a phone number, a website and a star rating. The problem is that copying that data by hand takes about a minute per listing, which means a 100-row list costs you most of a morning. This guide shows you how to get the same list in about a minute with the free Google Maps Scraper, and then what to do with it so it turns into booked appointments instead of a spreadsheet nobody opens.
What the scraper gives you
Each run returns up to 100 listings for one search in one location. For every listing you get the business name, its Google Maps category, the full street address with city and state, the direct phone number, the website URL, the Google rating from one to five stars, the total review count and a link back to the Maps listing. Everything exports to CSV with one click, so it drops straight into Google Sheets, HubSpot, Salesforce or GoHighLevel.
Step 1: Pick a search that matches how people actually search
The scraper runs the same query a customer would type into Maps, so phrase it the same way. "Roofing contractor" beats "roofing", and "med spa" beats "aesthetics clinic", because that is how the listings are categorised. If you sell to a niche inside a category, run the niche phrase first and the broad one second. You can always merge the files later.
Step 2: Be specific about the location
Enter a city, a neighbourhood, a zip code or a county. The tighter the area, the more of the real market one run covers. "Dentist in Scottsdale, AZ" returns a very different hundred businesses than "Dentist in Phoenix metro", and in a dense category a single city centre can hold more than a hundred listings. If you need the whole metro, run each suburb as its own search and combine the CSVs. Ten-minute total, full coverage.
Step 3: Choose the result count and run it
You can request 10, 25, 50 or 100 results. Start with 25 the first time you try a new query so you can check the listings are the kind of business you meant before you spend the time on a hundred. Enter your name and email so the results can be sent to you, and the run completes in 30 to 90 seconds with a live progress indicator.
Step 4: Clean the file before anyone calls it
Open the CSV and do three things. First, delete rows with no phone number, because a listing without a phone number is almost always a service-area business that does not take calls at that location. Second, sort by review count and look at the top and bottom. Businesses with hundreds of reviews are established and tend to have a marketing budget; businesses with fewer than ten are often new and tend to be hungry. Both are good prospects for different offers, so tag them. Third, deduplicate on phone number. Chains and multi-location practices will appear more than once.
Step 5: Segment by rating, not just by category
The rating column is the most under-used field in the whole file. A 3.8-star business with 200 reviews has a reputation problem it already knows about, which makes it a warm prospect for reputation management, a review reply service or an AI receptionist that stops missed calls turning into one-star reviews. A 4.9-star business with 40 reviews is doing great work and losing on volume, which makes it a prospect for lead generation. Sort by rating and write a different opening line for each band.
Step 6: Validate before you load into your dialer
Even clean Maps data goes stale. Owners change numbers, businesses close, websites lapse. Run the phone numbers through the free Phone Validator to confirm they are live and to separate mobiles from landlines, which matters if your follow-up includes SMS. If you also find email addresses on the websites, check them with the Email Validator so your first touch does not bounce.
Step 7: Decide who makes the calls
A hundred leads is a day of calling for one person, and the second day is the hard part. Most lists die because the follow-up stops after the first attempt. If your team is small, this is exactly the work an AI setter is built for: it calls and texts every row, qualifies the ones who answer, books the interested ones straight onto your calendar and keeps following up with the rest. You can estimate what that is worth with the New Lead AI Setter ROI Calculator, or read how we run cold outbound campaigns for clients end to end.
A note on using the data responsibly
The scraper only reads information that is publicly visible on Google Maps, and scraping public business listings for lead generation and market research is a long-established practice. The rules that matter are the ones that govern your outreach: follow TCPA and do-not-call requirements for calls and texts in the US, honour opt-outs, and keep your email compliant with CAN-SPAM. Treat the file as a list of businesses you are going to help, not a list to blast.
Who this works best for
Sales teams and SDRs prospecting a territory, marketing agencies building a pipeline of local clients, franchise developers mapping a market, real estate professionals looking for partner businesses, and anyone doing competitor or market research. If that is you, run your first search now. It takes about a minute and there is no signup.
