Google Maps Reviews Scraper(by place detail URL)

What Is Google Maps Review Scraping?

Efficiently extract detailed review data from any Google Maps place URL. Whether you're conducting sentiment analysis, monitoring local business reputation, or gathering customer feedback, this tool provides a robust and structured approach to data collection.

• ✅ Targeted Extraction — Fetch reviews from a specific Google Maps place
• ✅ Flexible Sorting — Sort by newest, oldest, highest rating, lowest rating, or most relevant
• ✅ Keyword Filtering — Filter by review text, translated content, or owner response
• ✅ Rich Metadata — Includes reviewer name, avatar, Local Guide status, and more
• ✅ Resilient Execution — Supports proxy configuration with automatic retry mechanism

Scrapable Data Fields

How to Use Google Maps Review Scraper

This scraper runs on the CoreClaw cloud platform, which automatically handles proxy rotation, browser instances, and data delivery. Simply configure the parameters to start collecting review data:

1. Open the Google Maps Review Scraper page
2. Enter the Google Maps place detail URL
3. Configure search parameters
4. Click "Start" to launch the scraping task
5. Download structured results in JSON or CSV format upon completion

Input Parameters

Usage Examples

Example 1: Basic Extraction

{
  "place_url": "https://www.google.com/maps/place/...",
  "max_results": 20,
  "sort_by": "newest",
  "include_reviewer_info": true
}

Example 2: Keyword Filtering

{
  "place_url": "https://www.google.com/maps/place/...",
  "max_results": 50,
  "review_keyword": "service",
  "sort_by": "mostRelevant"
}

Example 3: Specify Language and Region

{
  "place_url": "https://www.google.com/maps/place/...",
  "max_results": 30,
  "sort_by": "highestRating",
  "lang": "zh-CN",
  "gl": "cn"
}

Output Data Example

{
  "placeName": "Sample Restaurant",
  "title": "Excellent dining experience",
  "stars": 5,
  "text": "The food was delicious and the service was attentive...",
  "publishedAtDate": "2026-05-01",
  "likesCount": 23,
  "name": "John D.",
  "isLocalGuide": true,
  "responseFromOwnerText": "Thank you for your kind review! We look forward to seeing you again.",
  "textTranslated": "Great dining experience...",
  "reviewImageUrls": [
    "https://lh5.googleusercontent.com/..."
  ]
}

FAQ

Can I scrape all reviews if a place has thousands of them?

Yes. Google Maps typically limits the number of reviews visible through standard scrolling. Our tool uses advanced pagination techniques to fetch as many reviews as Google provides, up to your specified max_results. However, extremely large volumes (e.g., 10,000+) may still face platform-side truncation.

How does the tool handle Google's anti-scraping mechanisms?

The tool supports proxy configuration and cookie management. It fetches cookies at startup and automatically retries requests up to 3 times if it encounters degraded responses, HTTP 401/403 errors, or cookie invalidation.

Why do I need to extract reviewer metadata like "Local Guide" status?

Reviewer metadata is crucial for assessing review authenticity and weight. Reviews from Local Guides or highly active users are generally considered more trustworthy—making this data invaluable for in-depth sentiment and reputation analysis.

Does the keyword filter work on translated text?

Yes. The review_keyword parameter filters across the original review text, translated text, review context, and even the owner's response—ensuring you never miss relevant feedback, regardless of language.