Google Maps Review Scraper & AI Sentiment Analyzer 🤖⭐

Scrape unlimited Google Maps reviews and instantly turn them into a structured reputation report. Get sentiment scores, trend direction, top complaints, top praises, reputation-risk index, and a 2-3 sentence executive summary — for any business, in any country, in any language.

The fastest way to turn raw Google reviews into business intelligence you can act on.

Why this scraper?

Most Google reviews scrapers give you raw data — you still have to read 500 reviews and figure out the patterns yourself. This Actor reads them for you and delivers a clear, ready-to-use reputation report in a single click.

• ✅ Bulk Google Maps reviews scraping — up to 5,000 per business
• ✅ AI-powered sentiment analysis — no setup, no API keys
• ✅ Reputation risk score — quantify your brand exposure
• ✅ Trend detection — is your reputation improving or declining?
• ✅ Top praises & complaints — what customers actually care about
• ✅ Owner response rate score — measure your engagement
• ✅ Executive summary — a 2-3 sentence brief for decision makers
• ✅ Multi-language — works with reviews in any language
• ✅ Pay only per business — no monthly fees, no minimums

How it works

1. Enter a business name (e.g., "Florida Cracker Kitchen Brooksville") or paste direct Google Maps place URLs
2. Filter by date range (last 30/90/365 days, or all-time)
3. Run — every review is collected and analyzed automatically
4. Export the report as JSON, CSV, or Excel; integrate with Zapier, Make, n8n, or your CRM

Use cases

• 🏢 Reputation management agencies — monitor a client portfolio with weekly automated runs and surface declining sentiment before ratings drop
• 📊 Competitor analysis — compare sentiment scores, common complaints, and response rates across your top competitors
• 🍽️ Restaurant & hotel chains — audit every location at once and rank branches by reputation risk
• 🎯 Lead generation — find businesses with declining sentiment as prospects for marketing, PR, or operations services
• 📰 Market research — analyze sentiment trends across an entire industry segment or city
• 🔍 M&A due diligence — quantify the customer reputation of an acquisition target in minutes

Input example

{
    "businessName": "Florida Cracker Kitchen Brooksville",
    "maxReviews": 200,
    "dateRange": "365days"
}

Multi-business batch

{
    "googleMapsUrls": [
        "https://www.google.com/maps/place/Carbone+Miami/...",
        "https://www.google.com/maps/place/Joe%27s+Stone+Crab/..."
    ],
    "maxReviews": 500,
    "dateRange": "all"
}

Input fields

Field	Type	Description
businessName	string	Business to search on Google Maps. Used to build the search URL when no direct URLs are provided.
googleMapsUrls	string[]	Direct Google Maps place URLs. Overrides businessName if both are set.
maxReviews	integer (1-5000)	Max reviews to collect per business. Default 100.
dateRange	enum	"30days", "90days", "365days", or "all". Default "all".

Output example

Each analyzed business produces one dataset item:

{
    "business": "Florida Cracker Kitchen Brooksville",
    "url": "https://www.google.com/maps/place/...",
    "totalReviewsScraped": 200,
    "scrapedAt": "2026-04-26T14:23:11.482Z",
    "dateRange": "365days",
    "reviews": [
        {
            "reviewer": "Sarah M.",
            "rating": 5,
            "date": "2 weeks ago",
            "text": "Best fried green tomatoes in the state. Friendly staff, quick service.",
            "ownerResponse": "Thanks Sarah! See you soon."
        }
    ],
    "sentiment": {
        "sentimentScore": 8,
        "topPraises": [
            "Outstanding fried green tomatoes",
            "Friendly staff and quick service",
            "Authentic Southern atmosphere"
        ],
        "topComplaints": [
            "Long wait times on weekends",
            "Limited parking"
        ],
        "trendDirection": "improving",
        "reputationRisk": 3,
        "responseRateScore": 8,
        "ratingTrend": "rising",
        "executiveSummary": "Florida Cracker Kitchen has a strong and improving reputation with 8/10 sentiment. Customers consistently praise the food, staff, and atmosphere. Main friction point is wait times during peak hours."
    }
}

Sentiment fields explained

Field	Range	Meaning
sentimentScore	1-10	Overall positivity (10 = most positive)
reputationRisk	1-10	Brand exposure to reputational damage (10 = highest risk)
responseRateScore	1-10	How actively the owner replies to reviews
trendDirection	improving / declining / stable	Sentiment momentum over time
ratingTrend	rising / falling / flat	Star-rating direction over time
topPraises	string[]	Up to 5 recurring praise themes
topComplaints	string[]	Up to 5 recurring complaint themes
executiveSummary	string	2-3 sentence brief for stakeholders

Pricing

Pay-per-result. No subscription. No minimum commitment.

• $0.07 per business analyzed (everything included)
• $0.00005 Actor start fee
• 10 businesses ≈ $0.70
• 100 businesses ≈ $7.00
• 1,000 businesses ≈ $70.00

You only pay when the Actor returns a sentiment report. If a business has zero reviews, nothing is charged for that result.

Tips for best results

• Use specific business names ("McDonald's Brooksville FL" instead of "McDonald's") to avoid generic search results
• For chains and franchises, paste direct place URLs for each location
• Set maxReviews: 200-500 for reliable sentiment at low cost; raise to 1,000+ only for full audits
• Use dateRange: "365days" for the most actionable analysis — older reviews dilute trend signals
• Schedule weekly runs for ongoing reputation monitoring
• Run on competitors and yourself to benchmark sentiment

Integrations

Your results work with every popular tool out of the box:

• Spreadsheets — Google Sheets, Excel, CSV
• Automation — Zapier, Make (Integromat), n8n
• CRMs — HubSpot, Salesforce, Pipedrive (via API or webhook)
• Databases — PostgreSQL, MongoDB
• BI tools — Looker, Metabase, Tableau

FAQ

Q: How is this different from a generic Google Maps scraper? Generic scrapers return raw review JSON — you still have to read 500 reviews and summarize them yourself. This Actor returns a structured reputation report (sentiment score, top themes, trend direction, executive summary) so you can decide in seconds.

Q: Do I need any technical knowledge to use it? No. Type a business name, click run, and download the report. No setup, no keys, no code.

Q: How accurate is the sentiment analysis? The analysis is tuned specifically for online reviews and produces consistent, repeatable scores. Results align closely with how a human reviewer would summarize the same set of reviews.

Q: Does it work for businesses outside the United States? Yes. It works worldwide and supports reviews in any language — Spanish, Portuguese, French, German, Italian, Japanese, and more.

Q: Can I run it on multiple businesses at once? Yes. Pass a list of Google Maps URLs and each business is collected, analyzed, and pushed as a separate result.

Q: Can I schedule recurring runs? Yes. Set up weekly or daily runs to track reputation over time — perfect for ongoing monitoring.

Q: What happens if a business has no reviews? The Actor skips that business and pushes nothing — you don't pay for empty results.

Q: Can I export the data to Excel or Google Sheets? Yes. Every result can be downloaded as JSON, CSV, or Excel, or pushed to Google Sheets via Zapier or Make.

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