π§ Google Maps AI Review Analyzer β Sentiment & Insights
Pricing
from $5.00 / 1,000 results
π§ Google Maps AI Review Analyzer β Sentiment & Insights
β Scrape Google Maps reviews and get sector-specific AI insights - sentiment, key strengths, top complaints tailored to restaurants, clinics, hotels and more. No manual reading required. π’Powered by a 3-level AI pipeline.π’
Pricing
from $5.00 / 1,000 results
Rating
0.0
(0)
Developer
Archit Jain
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0
Bookmarked
3
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0
Monthly active users
13 days ago
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Stop reading reviews one by one. Paste any Google Maps URL and get a complete AI-powered breakdown β sentiment, key strengths, top complaints, and insights specific to the business type β in minutes.
Works for restaurants, clinics, hotels, gyms, salons, and any business on Google Maps.
What you get
| Field | Description |
|---|---|
overallSentiment | Positive / negative / mixed with score |
keyStrengths | What customers consistently praise |
commonComplaints | Recurring issues worth fixing |
parameterInsights | Sector-specific analysis (e.g. food quality, wait time, bedside manner) |
representativeQuotes | Best quotes that capture the mood |
averageRating | Computed across all analyzed reviews |
Why sector-specific matters
Generic sentiment tools treat a dental clinic the same as a pizza place. This actor detects the business type and adjusts what it looks for:
- Restaurant β food quality, atmosphere, service speed, value
- Clinic / Hospital β wait time, staff manner, cleanliness, outcome
- Hotel β room quality, check-in, location, breakfast
- Gym / Salon β equipment, staff expertise, pricing, booking
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
startUrls | array | Yes* | β | Google Maps place URLs |
placeIds | array | Yes* | β | Google Maps place IDs (e.g. ChIJ...) |
maxReviews | integer | No | 100 | Reviews to analyze per place (1β1000) |
language | string | No | en | Output language |
openRouterApiKey | string | No | β | Your OpenRouter key (optional) |
*Provide startUrls or placeIds β at least one required.
Example
Input:
{"startUrls": [{ "url": "https://www.google.com/maps/place/Chaayos+Cafe" }],"maxReviews": 50}
Output:
{"placeTitle": "Chaayos Cafe","categoryName": "Cafe","summary": {"overallSentiment": "positive","averageRating": 4.3,"keyStrengths": ["Chai variety", "Cozy atmosphere", "Friendly staff"],"commonComplaints": ["Long wait times", "Overpriced snacks"],"parameterInsights": {"food_quality": "Highly rated, especially the chai","service": "Staff praised but understaffed during peak hours","atmosphere": "Consistently described as warm and cozy","value": "Mixed β regulars accept pricing, first-timers find it steep"}},"reviewsAnalyzed": 50}
Use cases
- Reputation management β Understand exactly what customers love and hate about your business
- Competitor research β Run it on competitor locations to find their weak spots
- Market research β Analyze 10+ locations in a category to spot industry-wide patterns
- Agency reporting β Deliver structured AI insights to clients instead of raw review dumps
Tips
- Start with
maxReviews: 30β50for a quick test run - Pass multiple URLs in one run β you only pay the actor start cost once
- Use
languageto get summaries in your client's language - Set a spending limit in Apify Console before large runs
