Google Maps Reviews Insights — ratings, trends and top terms per place

For local-SEO agencies, multi-location brands and market researchers who scrape Google Maps reviews. You have thousands of rows nobody has time to read. This Actor turns the output of a reviews scraper (e.g. compass/Google-Maps-Reviews-Scraper) into one insight row per place — no scraping, no proxies, no LLM, fully rule-based and reproducible. $5 per 1,000 places.

For each place you get:

• Rating: review count, average stars, distribution (1–5 stars)
• Momentum: reviews in the last 30 days, average stars over the last 90 days, a trend (count and average stars per month or per N months)
• Owner engagement: owner response rate and average days to respond
• What people say: top positive terms (4–5 star reviews) and top negative terms (1–2 star reviews), single words and two-word phrases, English stop words removed (add your own)
• Photos: share of reviews with photos, and the latest review date

Privacy by design: reviewer names, IDs and profile URLs are never written to the output, and neither is the review text — only aggregates.

One place = one output row; reading reviews is free. Leave datasetIds empty for a free demo on fictional data.

Use cases

• Monthly reputation report per location for a multi-location brand
• Compare competitors' ratings, response rates and recurring complaints
• Spot places whose recent rating is dropping

Input

{
  "datasetIds": ["<dataset ID of your reviews scraper run>"],
  "periodMonths": 1,
  "topTerms": 20,
  "stopwords": ["mybrand"]
}

Output (one row per place)

{
  "placeId": "demo-cafe", "placeName": "Sample Coffee Roasters (fictional)", "url": "https://www.example.com/demo-cafe",
  "reviewsCount": 6, "avgStars": 3.5, "starsDistribution": {"1": 1, "2": 1, "3": 0, "4": 2, "5": 2},
  "last30DaysCount": 3, "last90DaysAvgStars": 3.33,
  "trend": [{"period": "2026-06", "count": 1, "avgStars": 1.0}],
  "ownerResponseRate": 0.667, "avgOwnerResponseDays": 2.8,
  "topPositiveTerms": [{"term": "great coffee", "count": 2}], "topNegativeTerms": [{"term": "slow service", "count": 2}],
  "withPhotosShare": 0.333, "latestReviewAt": "2026-10-15T00:00:00+00:00"
}

Run statistics (reviewsRead, reviewsSkipped, places, written) are saved in the key-value store as STATS.

Notes

• Works on datasets you already own; it does not access Google. You are responsible for how the underlying data was collected and used.
• Term analysis is simple (lowercase, basic plural folding) and tuned for English text. Translated text (textTranslated) is used when the original is empty. Terms appearing in fewer than 2 reviews are omitted.
• Reviews without a place ID are grouped by URL or place name; reviews without a star rating count toward totals but not rating averages.

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• Google Maps Market Analyzer — market and competitor tables from Google Maps scraper datasets
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