Google Maps Review Intelligence API | Ratings, Snippets & Place Data

Open Input (leave defaults → Start)

Paid first run ≈ USD 0.009 total (1 place URL): Actor Start USD 0.001 + 1×USD 0.008. Keep reviewLimit low. Open Console Input (deep link above) and run this JSON.

{
  "placeUrls": [
    "https://www.google.com/maps/place/Tokyo+Station/"
  ],
  "reviewLimit": 25,
  "delivery": "dataset",
  "dryRun": false
}

Track branch reputation signals by extracting aggregate ratings and public snippets from Google Maps pages. This targeted scraper parses the initial HTML of Google Maps URLs and returns the local business fields that are visible without authentication. Franchise managers, travel agencies, and digital marketing teams can use it to monitor location watchlists and spot public sentiment changes for follow-up review.

Store Quickstart

• Start with 1–3 full Google Maps place URLs and keep reviewLimit around 25.
• Use dataset delivery first so you can inspect warnings, dataSources, and review availability.
• Treat review snippets as best-effort: Google often withholds full review text in initial HTML.
• After the first useful run, move to the recurring multi-location template, then use the webhook handoff template for action-needed review alerts.

Use with Apify MCP

Exact actor: taroyamada/google-maps-review-intelligence

Sample input JSON:

{
  "placeUrls": [
    "https://www.google.com/maps/place/Tokyo+Station/"
  ],
  "reviewLimit": 25,
  "delivery": "dataset",
  "dryRun": false
}

Data Strategy

This actor fetches Google Maps place pages via HTTP and extracts structured data from multiple tiers:

1. Meta tags (high reliability): og:title, og:description, og:image
2. JSON-LD structured data (high reliability): Embedded LocalBusiness schema
3. Embedded script blocks (medium reliability): AF_initDataCallback data arrays
4. URL components (high reliability): Coordinates, place name from URL path
5. Inline text patterns (medium reliability): Rating/review patterns in page text

Limitations

• Individual reviews: Full review text is typically not available without JavaScript rendering or the Google Places API. The actor returns any review snippets embedded in the initial HTML (often from JSON-LD) and explicitly warns when full reviews are unavailable.
• Rate limiting: Requests are throttled (2s minimum between requests) to be polite. Heavy use may trigger Google's bot detection.
• Page structure changes: Google may change their HTML structure at any time. The multi-tier extraction approach provides resilience — if one source breaks, others continue working.

Use Cases

Who	Why
Local SEO teams	Benchmark ratings, review counts, and category fit across locations
Franchise operators	Compare multiple stores or branches with one normalized schema
Agencies	Build lightweight review-monitoring datasets without Google Places API keys
Competitive analysts	Pair Maps reputation signals with Trustpilot or app-review data

Input

Field	Type	Default	Description
placeUrls	string[]	(required)	Google Maps place URLs or share links
reviewLimit	integer	200	Max review snippets per place
delivery	string	"dataset"	"dataset" or "webhook"
webhookUrl	string		Webhook URL for delivery
dryRun	boolean	false	Extract without saving results

Supported URL formats

• https://www.google.com/maps/place/Place+Name/
• https://www.google.com/maps/place/Place+Name/@lat,lng,zoom
• https://maps.google.com/maps?q=...
• https://goo.gl/maps/... (short links — auto-resolved)
• https://maps.app.goo.gl/... (app share links — auto-resolved)

Output

Each place returns:

• Normalized place metadata: name, address, coordinates, category, phone, website, etc.
• Review intelligence: aggregate rating, review count, review snippets (when available)
• Data provenance: which extraction tiers provided data
• Explicit warnings: what data couldn't be extracted and why

Local run

npm start        # Run with input.json
npm test         # Run test suite

Example output

{
  "meta": {
    "implementationStatus": "live",
    "dataStrategy": "public_html",
    "totalSources": 1,
    "succeeded": 1,
    "failed": 0
  },
  "places": [{
    "status": "ok",
    "dataSources": ["meta_tags", "json_ld", "url_components"],
    "place": {
      "name": "Tokyo Station",
      "address": "1 Chome Marunouchi, Chiyoda City, Tokyo",
      "rating": null,
      "coordinates": { "lat": 35.6812, "lng": 139.7671 }
    },
    "reviewIntelligence": {
      "rating": 4.3,
      "reviewCount": 12456,
      "snippetCount": 1,
      "fullReviewsAvailable": false
    }
  }]
}

Related Actors

• Google Maps Lead Enrichment
• Trustpilot Reviews Scraper
• G2 & Capterra Review Intelligence

Pricing & Cost Control

Apify Store pricing is usage-based, so total cost mainly follows how many placeUrls you process. Check the Store pricing card for the current per-event rates.

• Start with a few placeUrls while validating the schema.
• Keep reviewLimit low because Google often exposes only snippets anyway.
• Use dataset delivery first so blocked or partial cases are easy to inspect.
• Use dryRun: true before larger location batches or webhook handoffs.

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