Google Maps Reviews Scraper & Analyzer avatar

Google Maps Reviews Scraper & Analyzer

Pricing

Pay per usage

Go to Apify Store
Google Maps Reviews Scraper & Analyzer

Google Maps Reviews Scraper & Analyzer

Turn hundreds of Google Maps reviews into a clear report: satisfaction score, top praises, top complaints, rating trend, and highlight quotes.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

ReviewLens

ReviewLens

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

Google Maps Reviews Analyzer ๐Ÿ“Š

Stop reading hundreds of reviews one by one. Paste a Google Maps link and get a clear, instant report about any business.

What you get

For every business you analyze, this tool produces:

  • ๐Ÿ“ Smart summary โ€” a clear, human-readable paragraph summarizing the business at a glance
  • ๐ŸŽฏ Aspect ratings โ€” separate scores for food & quality, service, price & value, atmosphere, wait & speed, and location
  • ๐Ÿง  Text sentiment โ€” sentiment read from the actual words of reviews (not just stars), catching nuance and sarcasm
  • ๐Ÿ’ฌ Reputation management โ€” how often the owner replies to reviews (and to negative ones), plus average response time
  • ๐Ÿ’ก Actionable recommendations โ€” a prioritized, plain-English to-do list of what to fix first
  • ๐Ÿ“„ Printable PDF report โ€” a polished, shareable PDF with charts, aspect ratings, and recommendations (download link in pdfReportUrl)
  • โญ Overall rating & satisfaction score โ€” what % of customers are happy
  • ๐Ÿ“ˆ Rating distribution โ€” how many 1โ˜…, 2โ˜…, 3โ˜…, 4โ˜…, 5โ˜… reviews
  • ๐Ÿ‘ Top praises โ€” the things customers love most (auto-detected from review text)
  • ๐Ÿ‘Ž Top complaints โ€” the recurring problems customers mention
  • ๐Ÿ•’ Recent trend โ€” is the business improving or declining in the last 90 days?
  • ๐Ÿ“ˆ Monthly trend โ€” average rating and review volume month by month (last 12 months)
  • ๐Ÿ’ฌ Highlight quotes โ€” representative positive and negative reviews

Perfect for business owners, restaurants, agencies, and market researchers who want to understand customer feedback in seconds.

How to use

You can start in two ways:

Option 1 โ€” by URL (most accurate):

  • placeUrls: paste one or more Google Maps links of the businesses.

Option 2 โ€” by search:

  • searchTerm: e.g. coffee shop
  • location: e.g. Los Angeles, USA
  • maxPlaces: how many matching businesses to analyze

Other options:

  • maxReviews: how many reviews to analyze per business (default 50)
  • reviewsSort: which reviews to pull first (newest / most relevant / highest / lowest)
  • reviewsSince: only analyze recent reviews โ€” a date (2025-01-01) or range (3 months, 1 year)
  • reviewsKeyword: only analyze reviews mentioning a word/phrase (e.g. delivery, staff)
  • language: en, es, fr, etc.

Filters

Use reviewsSince to answer "what are customers saying lately?" and reviewsKeyword to drill into one topic (e.g. analyze only reviews that mention delivery).

Competitor comparison ๐Ÿ†

Analyze 2 or more businesses in one run (add several placeUrls, or raise maxPlaces) and you also get a comparison report: a ranking, who wins on each aspect (service, price, food, etc.), complaints shared across all of them, and a plain-English verdict. Perfect for "my business vs. my competitors".

Example input

{
"placeUrls": ["https://www.google.com/maps/place/..."],
"maxReviews": 200,
"reviewsSort": "newest",
"language": "en"
}

Example output (per business)

{
"placeName": "Sample Coffee",
"overallRating": 4.3,
"reviewsAnalyzed": 200,
"satisfactionScore": 81,
"sentiment": { "positive": 162, "neutral": 18, "negative": 20 },
"topPraises": [{ "theme": "great coffee", "mentions": 44 }],
"topComplaints": [{ "theme": "slow service", "mentions": 12 }],
"recentTrend": { "direction": "improving", "recentAvg": 4.5, "olderAvg": 4.1 }
}

Notes

  • Review data is fetched through Apify's trusted Google Maps Scraper, then analyzed by this tool.
  • Sentiment is based on star ratings, so it works in any language. Themes are detected from review text with multilingual support.