Google Maps displays thousands of businesses by sector and by city, with their public contact details. To turn them into prospects, you need to know which information to look at, how to target a specific area and how to organize the results without drowning in an unmanageable spreadsheet.
This article explains how to read a Google Maps listing to qualify a business, how to choose a keyword and a geographic area that produce a usable list, and how to spot the most promising prospects before contacting them. You'll also see how to turn these results into a structured list, ready for a spreadsheet or a CRM, then how to track each prospect from collection through to the first call.
What information Google Maps reveals about a business
A Google Maps listing displays several public pieces of information that let you qualify a business before even contacting it.
- Name and category: you immediately identify the business sector, for example "plumber" or "communications agency".
- Address: it confirms the actual service area, useful for checking that a business matches your geographic scope.
- Phone: a listed number means the business accepts being contacted directly, a good sign for a phone outreach.
- Website: its presence, or absence, says a lot about the business's digital maturity. A business without a website may be more open to an offer for visibility or digitalization.
- Rating and reviews: a low rating or few recent reviews can indicate a business facing commercial difficulties, therefore potentially more receptive to a proposal.
- Hours: irregular or missing hours sometimes signal a recent or reorganizing structure.
Each of these data points helps sort your prospects before spending time contacting them. A business with an address, a phone number and few reviews is not treated the same way as a business that is already well established with an optimized website and a hundred positive reviews.
How to choose your search criteria to target the right prospects
A Google Maps search works on two criteria: a business keyword and a geographic area. If you type only "plumber", you get thousands of results across the whole of France. If you specify "plumber Lyon 3e", the list narrows down to businesses you can actually contact.
How to refine the keyword
A keyword that's too generic mixes very different profiles together. "Communication agency" brings back freelancers, large agencies and creative studios all in the same batch. Prefer terms close to those your prospects use themselves on their listing: "social media agency", "motion design studio", "digital printing".
How to calibrate the area
The size of the area depends on the number of businesses targeted:
- A neighbourhood or a district for a dense city like Paris or Marseille.
- An entire city for a less common activity, such as metalworking or shop fitting.
- A department if the trade is rare and you need to widen the scope to get enough results.
Why test before widening
First run a search on a small area. Check whether the results match your target. Adjust the keyword or the area before launching a wider collection, this avoids having to rework a list that's too heterogeneous once the data has been gathered.
How to spot the most interesting businesses to contact
What signals indicate a business with strong potential
Not every Google Maps listing deserves the same prospecting effort. Some signals, visible directly on the listing, help you prioritize.
- No website. A business with no website listed on its profile has probably not invested in its online presence. This is often a sign that it hasn't yet structured its prospecting or communication, making it fertile ground for offering your services.
- Few reviews, or outdated reviews. A listing with very few reviews, or whose last review dates back several months, can signal a business that is slowing down or one that doesn't manage its image. Conversely, a steady flow of recent reviews indicates strong activity.
- Irregular or incomplete hours. Missing hours, or hours that change often depending on the day shown, sometimes reveal informal management, which is useful to know if you sell organization or digitalization tools.
- Low average rating with a decent volume of reviews. This can indicate an operational problem that your offer directly solves.
Cross-reference several signals rather than relying on just one: a business with no website and irregular hours is a better prospect than a business with no website but already very active on reviews.
How to turn Maps results into a usable prospecting list
Once the listings have been spotted, the next step is to organize them into a usable structure, not just copy them as they are.
Which columns to keep
For a list to actually be useful for prospecting, it should contain at least:
- Company name
- Full address (useful for mapping out your rounds or calls)
- Phone number
- Website (or lack of one, a signal in itself)
- Average rating and number of reviews
- Displayed opening hours
Add an empty "status" column from the start. It will come in handy later to mark where each prospect stands (to contact, contacted, followed up).
Why structure before exporting
A messy list in a spreadsheet quickly becomes unreadable once you go beyond a few dozen rows. Sorting the columns in a fixed order, right from the collection stage, saves you from having to rework everything before importing into a CRM.
ScrapLift exports collected listings to CSV or Excel, with all the columns retrieved (name, address, phone, website, rating, reviews). You can filter a specific list before exporting, rather than extracting everything in bulk.
Once this file is clean, it becomes directly importable into a spreadsheet or a CRM, with no manual reprocessing needed.
How to go from the list to the first contact
A list exported to a spreadsheet doesn't tell you who's already been called, or who answered "not interested". Without a pipeline, you end up calling the same prospect twice or forgetting others entirely.
How to organize the follow-up
Assign each record a status that progresses over time:
- To contact
- Called, awaiting response
- Email sent
- Appointment scheduled
- Not interested
Add complementary tags to filter quickly: geographic area, company size, collection source. A sales rep managing several campaigns can thus isolate, with one click, the prospects from a single area, without reopening the original file.
A concrete example
In ScrapLift's built in CRM, each collected record keeps its status and tags in the same place as the contact data. You change the status after each call, you add a tag if the prospect asks to be followed up with in three months, and you find the complete history without switching tools between collection and outreach.
This way of working avoids the constant back and forth between a prospecting spreadsheet and a messaging app, and gives a clear view of each campaign's progress.
Common mistakes
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Searching without specifying an area. A search for "plumber" without a city or postal code brings back results scattered across the whole region. You waste time sorting through listings outside your sector. Always specify a city, a district or a kilometre radius before starting the collection.
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Keeping duplicates. The same company often appears several times if it has multiple locations or if you rerun the same search on overlapping areas. A prospect contacted twice by two different salespeople gives a bad impression. Clean the list before any export or import into your CRM.
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Contacting without checking public information. A phone number may have changed, a website may be down, a company may have moved. Before a call or an email, check whether the listing has recent reviews and whether the website still responds. A prospect contacted again with outdated information (old address, former manager's name) undermines your credibility from the very first exchange.
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Ignoring the displayed opening hours. Calling outside the stated opening hours wastes a useful call. Check this detail before planning your follow ups.
What to remember to get started
The method boils down to two sentences: you define a business keyword and a precise geographic area to get a list of qualified prospects, then you enrich each listing with the publicly available information before moving it into your contact pipeline. Each step (search, sorting, export, outreach) follows the same principle: start from verifiable public data rather than a purchased or generic list.
To get started without spreading yourself too thin, limit your first test to a restricted area, for example a neighborhood or a single city, and to a single business type.
- Choose a precise keyword ("plombier", "agence immobilière", not "artisan").
- Run the search on this single area.
- Identify the 10 to 15 most interesting listings based on the signals mentioned above.
- Export them and sort them by status before the first call.
Once this method has been validated on a restricted scope, you'll be able to expand it to other cities or other business types without changing the way you work. The feature center details how to structure this first search from start to finish.