Google Maps data extraction
Google Maps prospecting tool
Prospecting is mostly research, and most of that research is repetitive: open a listing, check whether they have a site, glance at the reviews, decide, move on. Doing that across a whole category in one pass, with filters carrying the decision, is the difference between an afternoon and a fortnight.
What you get
- Work a whole category and territory in one session
- Filter on the signals that define your fit, before extraction
- Rating, review count and website status on every row
- Session history so a territory can be worked in stages
- Contact fields and the Maps URL side by side for fast verification
- Export segments separately so each gets its own message
Define the territory before you open Maps
Prospecting drifts when the boundary is vague. Pick the categories and the geography first and write them down: three categories across eight suburbs is a real plan, local businesses near me is not. A written territory also makes the work resumable, since you can see which searches are done and which are not, and it stops two people on a team covering the same ground.
Turn your qualification criteria into filters
Every sales team has an informal idea of a good fit. Writing it as filters makes it repeatable: rating below 4.2, fewer than fifty reviews, no website attached, specific categories only. Once the criteria are filters rather than judgement calls, the list arrives qualified and you spend your time on messaging instead of on deciding who to contact.
Segment before you write the message
One message to a mixed list underperforms three messages to three segments. A business with no website, one with a low rating, and one with a strong presence and no booking link each need a different opening. Export those segments as separate files and write to each one specifically. The data already separates them, so the only cost is a little extra writing.
Verify before a high-value approach
Every row carries the Maps URL, and opening it takes seconds. For a mass email that is not worth doing. For a call to a prospect worth several thousand, it is: check the business is still trading, that the branch is the one you think, and that the rating you are about to mention is current. Automated data plus a thirty-second human check is a good ratio.
Working the territory on a rhythm
A territory is not finished, it decays. New businesses open, ratings move and websites appear. Re-running the same searches monthly or quarterly and comparing against your existing list surfaces what changed, and new entrants to a category are often the most receptive prospects in it because nobody has pitched them yet.
Frequently asked questions
How should I define a prospecting territory?
By category and geography, written down before you start. Specific categories across named suburbs or postcodes makes the work resumable and stops overlap between reps.
What should I filter on?
Whatever your team already uses to judge fit. Rating bands, review-count thresholds, website status and category are the four that carry most of the decision.
Why export segments separately?
Because each segment needs a different opening line. A business with no website and one with a low rating are different conversations, and mixing them flattens the message.
Should I verify rows manually?
For high-value approaches, yes. The Maps URL on each row makes a thirty-second check easy, which is worth it before a call but not before a mass email.
How often should I re-run a territory?
Monthly or quarterly. New listings in a category are often the most receptive prospects, and comparing runs is how you spot them.