Google Maps Store Review Scraper

Google Maps Store Review Scraper

This Actor scrapes detailed Google Maps reviews, including shop info, reviewer profiles, ratings, and review content with images. It’s designed for fast and efficient data extraction from local businesses.

SOCIAL_MEDIALEAD_GENERATIONTRAVELApify

✨Google Maps Store Review Scraper

Effortlessly collect valuable store reviews from Google Maps with enhanced filtering and sorting capabilities!

🔑Key Features

  • Advanced Filtering & Sorting
    • 🌐 Language Selection – Scrape reviews in specific languages (e.g., English, Chinese, Spanish).
    • Custom Sorting – Choose between "Newest", "Highest Rating", "Lowest Rating", or "Most Relevant" reviews.
  • Fast Data Collection
    • Quickly gather hundreds of reviews from multiple stores (supports parallel scraping).
  • Comprehensive Data Extraction
    • Captures 20+ data points per review including:
    • 🌍 Store URL | 🏪 Shop Name | ⭐ Rating & Review Count
    • ✍️ Author Details (Name, Profile, Local Guide Status)
    • 💬 Review Text | 🖼️ Images | 🔗 Direct Review Links
    • 📊 Service Ratings | 🍽️ Meal Types | 💵 Price Indicators

🚙How It Works

This Actor accepts the Google Maps store detail page URL as input.For example: https://www.google.com/maps/place/A'Roma+Roasters+Coffee+%26+Tea/@38.4381047,-122.7214884,17z/data=!3m1!4b1!4m6!3m5!1s0x80843801b3bffdf1:0xd45306e6053b45d2!8m2!3d38.4381047!4d-122.7214884!16s%2Fg%2F1tdc5fr1?hl=en&entry=ttu&g_ep=EgoyMDI0MTAwNy4xIKXMDSoASAFQAw%3D%3D

📝Example Output

1{
2    "input_url": "https://www.google.com/maps/place/A'Roma+Roasters+Coffee+%26+Tea/@38.4381089,-122.7240633,17z/data=!3m1!4b1!4m6!3m5!1s0x80843801b3bffdf1:0xd45306e6053b45d2!8m2!3d38.4381047!4d-122.7214884!16s%2Fg%2F1tdc5fr1?entry=ttu&g_ep=EgoyMDI0MTAwNy4xIKXMDSoASAFQAw%3D%3D&hl=en",
3    "shop_name": "A'Roma Roasters Coffee & Tea",
4    "shop_rating": "4.5(1,138)",
5    "shop_review_count": "1138",
6    "author_name": "Brad Payne",
7    "author_profile_link": "https://www.google.com/maps/contrib/115529491193833920624/reviews?hl=en",
8    "is_local_guide": "Local Guide",
9    "author_review_count": 104,
10    "author_photo_count": 346,
11    "author_rating": 5,
12    "author_review_timestamp": "3 months ago",
13    "review_text": "Love a local coffee house and A’Roma did not disappoint.  They were very busy but service was fast and there is plenty of seating.  I had a 50/50 Americano and yogurt and the coffee was amazing and prices very fair.  I wish they had easier bathroom access as you need a key and they only have one.",
14    "review_image_urls": [
15      "https://lh5.googleusercontent.com/p/AF1QipNwdEkN2le-Jn35E5y9LJ-h0FC63OAniSVKF20Y=w150-h150-k-no-p",
16      "https://lh5.googleusercontent.com/p/AF1QipOS1Zk-QNbmQGfAVQMMR7FK_nek2nplwO5xQdva=w150-h150-k-no-p",
17      "https://lh5.googleusercontent.com/p/AF1QipOGgdHwIToLEDuoAav2JqfDaw-ceGEfSvkEQ9Ad=w150-h150-k-no-p"
18    ],
19    "review_likes": 0,
20    "review_link": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sChdDSUhNMG9nS0VJQ0FnSUNyNXJfN3VBRRAB!2m1!1s0x0:0xd45306e6053b45d2!3m1!1s2@1:CIHM0ogKEICAgICr5r_7uAE%7CCgwIrp6mtAYQ4K3jiwE%7C?hl=en",
21    "review_details": {
22      "Service": 5,
23      "Meal type": "Breakfast",
24      "Price per person": "$1–10",
25      "Food": 5,
26      "Atmosphere": 5
27    }
28}

Looking for more?😊 Check out my other Google Maps scraping solutions:

  1. Google Maps Data Scraper - Effortlessly scrape detailed business information from Google Maps, including Store Name, Category, Rating, Reviews, Price Range, Address, Hours, Phone Number, Website, and more, while bypassing the 120-result limit. Ideal for market research, business intelligence, and lead generation.

🏷 Tags

Google Maps Scraper, Google Maps Review Scraper, Business Data, Market Research, Competitor Analysis, Business Intelligence, Google Maps API, Data Collection, Business Listings, Restaurant Scraper, Location-based Search

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!