Google Maps Reviews Scraper

Google Maps Reviews Scraper

Google Maps Reviews Scraper is a dedicated Google Maps review scraper that gathers ratings, review text, timestamps, reviewer details, and photos from public Google Maps place pages at scale. It solves the manual copy-paste problem by turning unstructured reviews into clean records you can analyze and export. Built for marketers, developers, data analysts, and researchers, this Google Maps reviews extractor operates at scale and acts as a reliable Google Maps reviews API alternative for automated pipelines and bulk reporting.

What data / output can you get?

The actor produces structured, per-review records and saves them to the Apify dataset. Below are the exact output fields with examples.

Data type	Description	Example value
url	Source Google Maps place URL for the review	https://www.google.com/maps/place/Ozz+Cafe/...
locationName	Parsed place name inferred from the URL	Ozz Cafe
reviewerName	Public profile name of the reviewer	John Doe
isLocalGuide	Whether the reviewer is marked as a Local Guide	true
reviewsAmount	Count of reviews on the reviewer’s profile (if detected)	35
photosAmount	Number of photos attached to this review	2
reviewerLink	Link to the reviewer’s Google Maps contributor profile	https://www.google.com/maps/contrib/115284223668523434855
rating	Star rating left by the reviewer (integer)	5
date	When the review was posted (as shown by Google)	2 months ago
text	The written review text	Amazing food and great service! Highly recommended.
photos	Array of review photo URLs	["https://lh3.googleusercontent.com/geougc-cs/..."]

Notes:

• Export via Apify’s dataset lets you easily Export Google Maps reviews to CSV, JSON, or Excel for BI tools and dashboards.
• If the place name cannot be reliably parsed from the URL, locationName may return “Unknown Restaurant”.
• Photo URLs are collected when available; the array can be empty if none are found.

Key features

• 🚀 Bulk scraping at scale
  Process multiple Google Maps place URLs and keyword-derived places concurrently — ideal for a bulk Google Maps reviews scraper workflow.

• 🔍 Keyword-to-place search workflow
  Provide keywords or business names, and the actor will search Google Maps, resolve the first matching place, and extract its reviews. Great for Google Business Profile reviews scraper tasks without pre-collected URLs.

• 🧱 Clean, structured output
  Consistent fields for each review (rating, text, date, reviewer profile signals, photos) make it a dependable Google Maps review data extractor for analytics and enrichment.

• 🌐 Adaptive proxy fallback
  Automatic proxy progression (none → datacenter → residential) improves reliability and throughput for high-volume runs.

• 🔗 Developer-friendly & API-ready
  Runs on Apify with a dataset output you can fetch via API or use in “Scrape Google Maps reviews with Python” pipelines and automation stacks.

• 📦 Easy exports
  Use the Apify dataset to download results in JSON, CSV, or Excel, making this a practical Google Maps reviews exporter for reports and spreadsheets.

• 🛡️ Production-ready infrastructure
  Built on async HTTP requests with retry/fallback logic for resilient, large-scale extraction — a robust Google Maps reviews scraping tool for recurring jobs.

How to use Google Maps Reviews Scraper - step by step

1. 🔑 Sign in to Apify
   Create a free Apify account or log in to your dashboard.

2. 🔎 Open the actor
   Find “Google Maps Reviews Scraper” in the Apify Store and click Try for free.

3. 📥 Add your input

   • Add Google Maps place pages to startUrls (single URL or a list).
   • Or add keywords/business names to keywords (the actor will search Google Maps and resolve the place).
     Tip: Provide at least one of startUrls or keywords; the run will stop if both are empty.

4. ⚙ Configure settings

   • maxComments: Limit the number of reviews per place (1–10000; default 60).
   • sortOrder: Choose a review sort preference per input schema (newest, oldest, relevant, rating).
   • proxyConfiguration: Optional; actor starts with no proxy and falls back to datacenter and then residential if required.

5. ▶ Run the actor
   Click Start. The scraper will fetch reviews via Google Maps’ public endpoints with adaptive retry and proxy fallback.

6. 📊 Monitor progress
   Watch the run logs in real time. The actor resolves keywords to place URLs and scrapes reviews for each place.

7. ⬇ Export your data
   Open the dataset named “Google Maps Reviews Data” and export to JSON, CSV, or Excel. Integrate via API for automated workflows.

Pro Tip: Use keywords for discovery + startUrls for precision to cover all your targets. Connect the dataset to your data warehouse or “Google Maps review extraction tool” pipelines for recurring reporting.

Use cases

Use case name	Description
Reputation management for local businesses	Track ratings, review text, and Local Guide signals to identify issues and measure sentiment trends across locations.
Competitor benchmarking for agencies	Compare star ratings and review volume across competing locations to inform strategy and outreach.
Local SEO keyword mining	Analyze recurring phrases in review text to optimize your Google Business Profile and website content.
Market research & consumer insights	Aggregate reviews across categories (restaurants, retail, services) for qualitative and quantitative analysis.
Data science & NLP training	Build labeled corpora from ratings and review text to train sentiment models and topic classifiers.
Lead generation & outreach	Surface businesses with poor ratings or recent negative trends to pitch marketing or reputation services.
Operations & CX dashboards	Feed structured reviews to BI tools for weekly KPIs, issue flags, and QA feedback loops.
Automated API pipelines	Use as a Google Maps reviews API alternative in ETL jobs, Make/Zapier flows, or “Scrape Google Maps reviews with Python” scripts.

Why choose Google Maps Reviews Scraper?

This solution focuses on precision, automation, and reliability for Google Maps ratings and reviews scraper workflows.

• 🏆 Accurate, structured fields out of the box — no manual cleanup.
• ⚡ Scales to many places and large review counts with async processing.
• 💻 Developer access via Apify datasets and API — easy to integrate into pipelines.
• 🧩 Works with automation stacks — connect to Zapier, Make, n8n, or custom schedulers.
• 🔒 Safe & resilient — adaptive proxy fallback (none → datacenter → residential) built in.
• 💸 Cost-effective alternative — a practical Google Maps reviews API alternative for recurring extractions.

In short, it’s a dependable Google Maps reviews scraping tool that outperforms brittle browser extensions and one-off scripts.

Is it legal / ethical to use Google Maps Reviews Scraper?

Yes, when done responsibly. This actor extracts publicly available review data from Google Maps place pages and does not access private or authenticated content.

Guidelines to follow:

• Scrape only public data and respect ethical usage.
• Be aware of and comply with relevant laws and regulations (e.g., GDPR/CCPA where applicable).
• Avoid circumventing access controls or security measures.
• Verify your use case with your legal team and review Google’s terms of service.

Input parameters & output format

Example JSON input

{
  "startUrls": [
    {
      "url": "https://www.google.com/maps/place/Ozz+Cafe/@23.7515736,90.3640976,17z/data=!3m1!4b1!4m6!3m5!1s0x3755bf50215d2885:0x73b4574a678e2e65!8m2!3d23.7515687!4d90.3666725!16s%2Fg%2F11c5t2yjtg!5m1!1e4?entry=ttu"
    }
  ],
  "keywords": [
    "Starbucks New York",
    "Ozz Cafe",
    "restaurant near me"
  ],
  "maxComments": 60,
  "sortOrder": "newest",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters

• startUrls (array)
  Description: List one or more Google Maps place URLs (e.g., https://www.google.com/maps/place/Restaurant+Name/...).
  Default: none
  Required: No

• keywords (array of strings)
  Description: List keywords, place names, or business names to search on Google Maps. The actor will search and find the place, then scrape its reviews.
  Default: []
  Required: No

• maxComments (integer)
  Description: Maximum number of reviews to extract per place URL (1–10000).
  Default: 60
  Required: No

• sortOrder (string; one of: newest, oldest, relevant, rating)
  Description: How to sort the reviews when fetching.
  Default: newest
  Required: No

• proxyConfiguration (object)
  Description: Configure proxy settings. Actor will start with no proxy and fallback to datacenter then residential if needed.
  Default: {"useApifyProxy": false}
  Required: No

Note: Provide at least one of startUrls or keywords; otherwise, the run will stop without scraping.

Example JSON output

{
  "url": "https://www.google.com/maps/place/Ozz+Cafe/...",
  "locationName": "Ozz Cafe",
  "reviewerName": "John Doe",
  "isLocalGuide": true,
  "reviewsAmount": 35,
  "photosAmount": 2,
  "reviewerLink": "https://www.google.com/maps/contrib/115284223668523434855",
  "rating": 5,
  "date": "2 months ago",
  "text": "Amazing food and great service! Highly recommended.",
  "photos": [
    "https://lh3.googleusercontent.com/geougc-cs/...",
    "https://lh3.googleusercontent.com/geougc-cs/..."
  ]
}

Field notes

• locationName may appear as “Unknown Restaurant” when a reliable name cannot be parsed from the URL.
• photos is an array of URLs and may be empty if the review has no attached images.

FAQ

Is there a free way to try this Google Maps reviews extractor?

Yes. Apify provides trial minutes for testing runs before you commit to a plan. You can evaluate the Google Maps reviews exporter workflow with small jobs at no cost.

Do I need to log in or provide cookies?

No. This Google Maps review scraper does not require login or cookies. It collects public review data from place pages using HTTP requests.

Can I use it with Python or via API?

Yes. You can fetch the Apify dataset via REST API and integrate it into “Scrape Google Maps reviews with Python” pipelines or other automation frameworks.

How many reviews can I scrape per place?

You control this with maxComments. Set any value between 1 and 10,000 (default 60) to limit how many reviews the actor extracts per place.

Can it process multiple locations at once?

Yes. Provide multiple startUrls and/or a list of keywords. The actor resolves keywords to place URLs and runs concurrent extraction, making it a practical bulk Google Maps reviews scraper.

What fields are included in the output?

Each review record includes url, locationName, reviewerName, isLocalGuide, reviewsAmount, photosAmount, reviewerLink, rating, date, text, and photos (array).

Can I export results to CSV or Excel?

Yes. Open the run’s dataset in Apify and export to JSON, CSV, or Excel. This makes it a straightforward Google Maps reviews exporter for reporting.

Does it support proxies?

Yes. The actor starts with no proxy and automatically falls back to datacenter and then residential proxies if needed, improving reliability for large runs.

Final thoughts

Google Maps Reviews Scraper is built to extract clean, structured reviews from Google Maps place pages at scale. With keyword-to-place discovery, adaptive proxy fallback, and export-ready datasets, it empowers marketers, developers, and analysts to automate review collection and analysis. Connect it to your API pipelines, use it as a Google Maps reviews API alternative, or integrate with “Google Maps review extraction tool” workflows to operationalize insights fast. Start extracting smarter today.