Google Maps Store Review Scraper

✨ Google Maps Store Review Scraper

Effortlessly collect comprehensive customer reviews from Google Maps with precision filtering and powerful analytics for data-driven business decisions.

🔑 Key Features

• 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
• Pinpoint Your Data with Precision: Easily scrape reviews in over 50 languages. Sort the data by "Newest," "Highest Rating," "Lowest Rating," or "Most Relevant" to find the exact customer feedback you need for your market research.
• Scrape at Scale, Effortlessly: Quickly gather thousands of reviews from multiple store URLs in a single run. Our Actor is built for speed and efficiency, delivering comprehensive business data in minutes, not days.
• Easy to Use, No-Code Solution: Simply paste a Google Maps store URL, choose your settings, and click "Start". Get structured, clean data ready for immediate use, no technical skills required.

📈 How Can This Help You? (Use Cases)

This Actor is designed for business owners, marketers, and data analysts who need to leverage customer feedback.

• Competitor Analysis:
  • Automatically monitor your competitors' reviews to understand their strengths and weaknesses. Identify common complaints you can capitalize on or popular features you should consider adopting.
• Market Research & Sentiment Analysis:
  • Aggregate thousands of reviews for a specific industry or location. Analyze customer sentiment to understand market trends, service gaps, and opportunities for new products or services.
• Brand Reputation Management:
  • Keep a close eye on your own business listings. Get detailed feedback on customer experiences to quickly address issues, improve service quality, and enhance your online reputation.
• Lead Generation & Business Intelligence:
  • Extract data from reviews to identify potential brand advocates or disgruntled customers who may be open to a new solution. Build powerful datasets to inform your business strategy.

🚀 Quick Start Guide

Getting started is as simple as 1-2-3.

1. Add URLs: Enter one or more Google Maps store detail page URLs. 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
2. Set Your Preferences: Choose the review language and how you want the results sorted.
3. Run & Download: Click the "Start" button and wait for the Actor to finish. You can then preview and download your data in JSON, CSV, Excel, and other formats.

📝 Example Output

{
    "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",
    "shop_name": "A'Roma Roasters Coffee & Tea",
    "shop_rating": "4.5(1,138)",
    "shop_review_count": "1138",
    "author_name": "Brad Payne",
    "author_profile_link": "https://www.google.com/maps/contrib/115529491193833920624/reviews?hl=en",
    "is_local_guide": "Local Guide",
    "author_review_count": 104,
    "author_photo_count": 346,
    "author_rating": 5,
    "author_review_timestamp": "3 months ago",
    "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.",
    "review_image_urls": [
      "https://lh5.googleusercontent.com/p/AF1QipNwdEkN2le-Jn35E5y9LJ-h0FC63OAniSVKF20Y=w150-h150-k-no-p",
      "https://lh5.googleusercontent.com/p/AF1QipOS1Zk-QNbmQGfAVQMMR7FK_nek2nplwO5xQdva=w150-h150-k-no-p",
      "https://lh5.googleusercontent.com/p/AF1QipOGgdHwIToLEDuoAav2JqfDaw-ceGEfSvkEQ9Ad=w150-h150-k-no-p"
    ],
    "review_likes": 0,
    "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",
    "review_details": {
      "Service": 5,
      "Meal type": "Breakfast",
      "Price per person": "$1–10",
      "Food": 5,
      "Atmosphere": 5
    }
}

🔥 Start Scraping Now!

Ready to unlock powerful customer insights and stay ahead of the competition? Click "Try for free" to start scraping Google Maps reviews today!

🔑 Related Actors

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