Google Maps Reviews Scraper

Google Maps Reviews Scraper

The Google Maps Reviews Scraper is a fast, reliable Google Maps review extractor that collects structured ratings, review text, timestamps, and reviewer details from Google Maps place pages. It solves the manual collection problem by automating review capture from place URLs or by searching keywords, making it ideal for marketers, developers, data analysts, and researchers. Use this Google Maps reviews scraping tool to scale local SEO, reputation monitoring, and competitive research with clean, analysis-ready datasets.

What data / output can you get?

Below are the exact fields this Google Places reviews scraper pushes to the Apify dataset, with examples. You can export results as JSON or CSV from the dataset.

Data field	Description	Example value
url	Source Google Maps place URL for the review	https://www.google.com/maps/place/Ozz+Cafe/...
locationName	Location name parsed from the URL (falls back when not derivable)	Ozz Cafe
reviewerName	Public display name of the reviewer	John Doe
isLocalGuide	Whether the reviewer is labeled a Local Guide	true
reviewsAmount	Count of reviews on the reviewer’s profile (if found)	35
photosAmount	Number of photos attached to this review	2
reviewerLink	Contributor profile link (when derivable)	https://www.google.com/maps/contrib/115284223668523434855
rating	Star rating as an integer	5
date	Review timestamp label from Google Maps	2 months ago
text	Full review text	Amazing food and great service! Highly recommended.
photos	Array of review photo URLs (if any)	["https://lh3.googleusercontent.com/geougc-cs/..."]

Note: The scraper returns arrays of photo URLs when present. Dataset records are structured and ready for export to JSON or CSV for downstream analysis or API pipelines.

Key features

• ⚡ Adaptive proxy fallback Automatically escalates from no proxy to Apify datacenter and then residential proxies to reduce blocking and keep throughput steady.
• 🔎 Keyword-to-place search Provide keywords or place names and the scraper will search Google Maps, find the first matching place, and scrape its reviews.
• 📦 Clean, structured output Pushes consistent fields (rating, text, date, reviewer details, photos) to the dataset, so you can export Google Maps reviews to CSV or JSON without post-processing.
• 🚀 Batch scraping & parallel execution Processes multiple place URLs and keyword-derived URLs in one run with asyncio concurrency, making it a true bulk Google Maps reviews scraper.
• 🧑‍💻 Developer-friendly Built on Apify’s Python runtime and dataset storage, ready for API use in your Google Maps reviews scraper Python workflows or pipelines.
• 🧰 Controls for limits & sorting Configure maxComments (1–10000) and a sortOrder input to tailor how many reviews to fetch and how to request them.
• 🔁 Resilience & retries Includes retry logic, continuation token handling, and sessionized request parameters for more complete review pagination.

How to use Google Maps Reviews Scraper - step by step

1. 🔑 Sign in to Apify
   Log in to your Apify account (new users can start with free trial minutes).

2. 🔎 Add input sources
   In the input, provide either:

   • startUrls: One or more Google Maps place URLs
   • keywords: Place or business names (the scraper will search on Google Maps and pick the first matching place)

3. ⚙ Configure settings

   • maxComments: Set the maximum number of reviews to extract per place (1–10000)
   • sortOrder: Choose from newest, oldest, relevant, rating
   • proxyConfiguration: Leave as default (no proxy) or let the fallback system escalate to datacenter/residential when needed

4. ▶ Run the scraper
   Click Start. The actor will resolve keywords to place URLs (if provided), request Google Maps RPC endpoints, and begin fetching reviews.

5. ⏳ Monitor progress
   Track logs and run status in the Apify console. The actor paginates through results using continuation tokens until limits are reached.

6. ⬇ Download results
   Open the dataset tab for your run and export to JSON or CSV for analysis, dashboards, or ingestion into your apps.

Pro tip: Integrate runs via the Apify API and feed results directly into your Google Maps reviews API scraper pipeline or automation stack.

Use cases

Use case name	Description
Local SEO & reputation tracking	Monitor ratings, dates, and review text to surface recurring themes and improve Google Business Profiles.
Competitor benchmarking	Compare review volume, star ratings, and sentiment across competing locations in bulk.
Market research & trend analysis	Aggregate reviews across categories (e.g., cafes, hotels, retail) to identify regional patterns and customer expectations.
Agency reporting & audits	Export Google Maps reviews to CSV for client reporting, QA checks, and monthly performance reviews.
Product/service improvement	Analyze reviewer feedback at scale to prioritize fixes and enhancements.
API & data engineering pipelines	Use the dataset as a source for a Google Maps reviews API scraper workflow or Python ETL job.

Why choose Google Maps Reviews Scraper?

This Google business reviews scraper is engineered for precision, automation, and reliability.

• 🧠 Accurate, structured fields ready for analysis
• ⚡ Bulk-friendly with parallel execution for faster throughput
• 🌐 Keyword search + URL input for flexible sourcing
• 🧑‍💻 Developer-ready for API and Python integrations
• 🛡️ Adaptive proxy fallback for anti-blocking robustness
• 💾 Simple exports from the dataset to JSON or CSV
• 🔧 No browser extensions or manual setup required

In short: Google Maps Reviews Scraper vs browser extensions or ad‑hoc scripts isn’t a contest—this production-ready workflow delivers clean, scalable results without instability.

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

Yes—when done responsibly. This tool targets publicly available Google Maps content and does not access private or authenticated data.

Guidelines for compliant use:

• Only collect publicly visible information.
• Respect platform terms and applicable laws (e.g., GDPR, CCPA).
• Avoid circumventing security measures.
• Use the data for lawful purposes and consult your legal team for specific use cases.

Input parameters & output format

Example input JSON

{
  "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
  }
}

Parameter reference:

• startUrls (array, not required)
  Description: List one or more Google Maps place URLs (e.g., https://www.google.com/maps/place/Restaurant+Name/...).
  Default: none.

• keywords (array of strings, not required)
  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: [].

• maxComments (integer, not required)
  Description: Maximum number of reviews to extract per place URL (1–10000).
  Default: 60.

• sortOrder (string enum: newest | oldest | relevant | rating, not required)
  Description: How to sort the reviews when fetching.
  Default: newest.

• proxyConfiguration (object, not required)
  Description: Configure proxy settings. Actor will start with no proxy and fallback to datacenter then residential if needed.
  Default (prefill): {"useApifyProxy": false}.

Example output JSON

{
  "url": "https://www.google.com/maps/place/Ozz+Cafe/...",
  "locationName": "Ozz Cafe",
  "reviewerName": "John Doe",
  "isLocalGuide": true,
  "reviewsAmount": 35,
  "photosAmount": 10,
  "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/..."
  ]
}

Notes:

• locationName may return “Unknown Restaurant” if the name cannot be derived from the URL.
• photos may be an empty array if no review photos are present for that item.
• reviewerLink and reviewerName can be empty if not discoverable in the source data.

FAQ

Is there a free way to try the Google Maps Reviews Scraper?

Yes. You can start with Apify’s free tier and trial minutes to evaluate the actor before upgrading.

Can I scrape by keywords instead of URLs?

Yes. Use the keywords input to search Google Maps for place names; the scraper will resolve to a place URL and collect its reviews.

Does it require login or cookies?

No. This Google Maps reviews crawler works without login and fetches publicly available data.

How many reviews can I extract per place?

You control this with maxComments, from 1 up to 10,000 per place URL.

Can I use this with Python and APIs?

Yes. The actor is implemented in Python and integrates via the Apify API, making it a solid Google Maps reviews scraper Python option for automated pipelines.

What formats can I export?

You can export the dataset to JSON or CSV directly from Apify.

Does it work globally?

The actor requests Google Maps with hl=en and gl=us by default. Coverage depends on the availability of public data for the places you query.

How does it avoid blocking?

It uses an adaptive proxy fallback strategy—starting with no proxy, then switching to Apify datacenter and residential proxies as needed.

Final thoughts

Google Maps Reviews Scraper is built for fast, structured extraction of reviews at scale. With keyword search support, adaptive proxy fallback, and clean dataset outputs, it helps marketers, analysts, and developers scrape Google Maps reviews reliably and export them to JSON/CSV for immediate use. Connect it via the Apify API to power your Google Maps reviews API scraper or Python workflows, and start extracting smarter insights today.