Local Business Health Scorer

I built this because I kept doing the same hour of work by hand. You search a trade and a town on Google Maps. Then you open ninety listings one at a time, hunting for the dozen with no website, a website that no longer loads, or thirty reviews nobody ever answered.

Now I run the search and score every listing in it, and you get a ranked list with a reason for each business that you can paste into an email.

What I look at

Every business gets a score out of 100. Six things feed it, and they add up to exactly 100 so the total is always readable.

Web presence, worth 35. The listing has no website at all, or the website on it does not answer, or the link goes to a Facebook page rather than a site the business owns.

Review engagement, worth 18. The owner never replies to the recent reviews I read, or replies to almost none of them.

Photos, worth 12. The listing carries no photos, or barely any.

Staleness, worth 12. The newest review is months or years old. A listing with no reviews at all scores the full 12.

Website quality, worth 10. The site answers, but on plain http rather than https. Or it carries no mobile viewport tag. Or its footer copyright sits years behind.

What the listing is missing, worth 13. No opening hours, no phone number, no description. Under 4.2 stars with at least ten reviews adds the last 5 points.

Anything scoring 55 or more is marked HOT. From 30 to 54 is WARM, and the rest is COLD. Every row carries the reasons that fired with the numbers behind them, so you can see why a business scored what it did rather than taking the total on trust.

Who I built it for

• Web designers and agencies who sell first websites and rebuilds to local trades
• Google Business Profile and local SEO consultants
• Photographers who sell listing photo shoots
• Anyone doing local outreach who wants a reason to write, rather than a name and a phone number

How to run it

Put one or more search terms in, one per line, exactly as you would type them into Google Maps. Add a town or a city. Set how many businesses to score and how many recent reviews I should read for each of them. Run it, then open the Overview table and sort on the score column.

Leave the search term empty and you get two demo rows, scored by the same rubric I use on real ones, so you can see the shape of the output before you spend anything.

What comes back

One row per business. It holds the contact details from the listing alongside every signal the score was built from. Underneath sit the rubric reasons in full, plus up to three pitch angles. A pitch angle is one sentence written from that row's own numbers:

Not one of the last 5 reviews has a reply from the business.

The Google listing has 1 photo on it, which is what a search result shows before anyone clicks.

The website on the Google listing does not load, so the link customers click goes nowhere.

I also write a summary record with how many businesses landed in each band, how many had no website at all, and the ten highest scores with their first pitch angle.

What it costs

You are charged once per business I score. The Google Maps search itself runs on the Google Maps Scraper and is billed to your own Apify account on top, exactly as it would be if you ran that Actor yourself. If you already scraped the places earlier, paste those records into the optional field and I score them without running a new search.

Honest limits

• The owner-reply rate is measured on the recent reviews you asked for, not on every review the business ever had. Ask me for five and the number describes those five.
• A photo count of zero is read from the listing. Google sometimes attaches photos from other sources to a business that has uploaded none itself, which makes the count look healthier than the owner's own effort.
• The website check is one plain request rather than a browser. It tells you the link is dead or insecure. For a deeper look at how old a site is inside, run Website Redesign Lead Scorer over the sites I find.
• None of this is a judgement about the business. It describes what its public listing showed on the day I read it.

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