Google Maps Market Analyzer: area x category, GeoJSON

Google Maps market analysis: one row per area x category, plus GeoJSON and KML maps

area	category	places	avgRating	medianReviews	chainShare	competitionScore
Demo Heights	Cafe	2	4.2	31	0.5	0
Demo Heights	Bakery	1	4.9	15	0	0
Demo Heights	Dentist	1	3.6	12	0	0

(real output of the free demo on 2026-11-04: 14 fictional sample places in 3 areas gave 8 rows like these. The SUMMARY record ranked the areas by competition: Demo Heights 0, Exampleville 99, Sampletown 100, so Demo Heights is the whitespace candidate.)

You bring the places: this Actor reads the dataset of a Google Maps Scraper (compass/crawler-google-places) run and does not scrape Google Maps itself. Pick that run in Google Maps datasets (the field lists the datasets in your account; no ID to copy).

Try it: press Start with the input as it is (no dataset picked). You get the free demo above: 8 area x category rows, a SUMMARY with the 3 areas ranked, and MAP_GEOJSON / MAP_KML map files of the 14 sample places, in a few seconds and not charged. The demo places are fictional; it shows the output format, not a real market.

Price: from $3.50 per 1,000 segments on Apify's paid plans (the price shown on this page); $5.00 per 1,000 on the free plan. One segment = one area x category row. Reading, deduplication and map files are free.

Site-selection and sales-territory teams, and agencies building pitch decks, get a ready-made market analysis from Google Maps scraper data: for every area and business category, how many places, how good, how reviewed, how chain-heavy, the least-competitive areas, and GeoJSON and KML maps.

• Three ways to split areas: by city, by postal code, or by a latitude/longitude grid (gridKm, default 2 km)
• Per area x category: places, avgRating, medianReviews, totalReviews, closedShare, withWebsiteShare, topPlaces (top 3 by rating x reviews, with names and Maps URLs), chainShare, area centre lat/lng
• Chain estimate: a business name that appears 3 or more times in your data counts as a chain
• Competition score (estimate, 0-100) per area from the number of places and total reviews; the 5 weakest areas are listed in SUMMARY as whitespace candidates. It is a rough guide, not sales or foot traffic.
• Map files of the places (up to the first 100,000 places that have coordinates): MAP_GEOJSON and MAP_KML (name, category, rating, reviewsCount, mapsUrl) — open in QGIS, Google My Maps, Kepler.gl, Felt
• Privacy: no phone numbers, no emails, no reviewer or owner names are read or output. The Actor never contacts Google.

Works with the output of compass/crawler-google-places and other Maps scrapers using similar field names (title/name, placeId, categoryName/categories, totalScore, reviewsCount, address, city, postalCode, location, permanentlyClosed, website, url).

Use cases

• Where to open the next shop or branch: compare competition and ratings per district for your category
• Sales territory planning: find areas with many places but few chains or few websites
• Agency proposals: drop a map and a table of local competitors into a client deck

How to use

1. Run a Google Maps scraper (for example Google Maps Scraper) for your area and category.
2. Open this Actor and pick that run's dataset in Google Maps datasets (the field lists the datasets in your account, so you don't need to copy an ID). You can pick several runs; they are merged and deduplicated.
3. Start. Open the dataset table, the SUMMARY record (whitespace candidates) and the MAP_GEOJSON / MAP_KML records.

Try it on your own city for a few cents: scrape one category in one city, run this Actor with Group areas by = city (the default), and you get about one segment per category and city name in the data: 10 segments cost 5 cents on the free plan (3.5 cents at the price shown on this page).

Leave Google Maps datasets empty to see the free demo on fictional sample data (rows are marked _demo: true). The demo shows the output format only; the numbers are not real places.

Input

{
  "datasetIds": ["<dataset ID of your Google Maps scraper run>"],
  "groupBy": "grid",
  "gridKm": 2,
  "categoriesInclude": ["dentist"],
  "minReviews": 5,
  "excludeClosed": true
}

Output (dataset: one row per area x category)

{
  "area": "Sampletown", "category": "Cafe", "lat": 35.06, "lng": 139.09,
  "places": 3, "avgRating": 3.9, "medianReviews": 280, "totalReviews": 730,
  "closedShare": 0, "withWebsiteShare": 1, "chainShare": 1,
  "topPlaces": [{"name": "Example Cafe", "url": "https://www.google.com/maps/place/..."}],
  "competitionScore": 62
}

Key-value store: SUMMARY (overview, top categories, 5 whitespace candidates), MAP_GEOJSON, MAP_KML.

Pricing

Event	Free plan	Paid plans (Store discount tiers Bronze / Silver / Gold)
Segment (one area x category output row)	$5.00 per 1,000	$4.50 / $4.00 / $3.50 per 1,000

The price on this page ("from $3.50") is the Gold tier price. A run with 30 areas and 10 categories each produces at most 300 segments (about $1.50 on the free plan, $1.05 at the Gold tier). On the Apify Free plan, the $5 of monthly platform credit covers about 1,000 segments a month — enough to try it on real data. Set a maximum cost per run in Apify and the Actor stops when it is reached. The demo is free.

Notes and limits

• The Actor only reads datasets you point it to; you are responsible for how that data was collected.
• Scores and chain detection are estimates from the data you give it; a small or partial scrape gives a partial picture.
• Places without coordinates are left out of grid grouping and the map files.

If this Actor saved you time, a rating on the Store helps others find it.

More tools from the same developer

• Google Maps Leads Cleaner — dedupe Google Maps scraper results, format phones (E.164), CRM-ready leads
• Google Maps Reviews Analyzer — per-place ratings, trends, owner response rate and top terms from Google Maps reviews
• Google Sheets Export — export an Apify dataset to Google Sheets
• Remove Duplicates — merge Apify datasets and remove duplicates by the fields you choose