🗺️ Google Maps Reviews Scraper (by URL)

Want to see what people are saying about a specific restaurant, hotel, or shop? This scraper makes it super easy!

Instead of typing in search terms and hoping you get the right place, all you need is the Google Maps URL. Just paste the link, and the scraper will extract up to 500 reviews, automatically translate them into the language you choose (English by default), and neatly pack them into a CSV or JSON file.

💡 Perfect for...

• Reputation Management: Keep an eye on what customers are saying about your own business so you can respond and improve.
• Competitor Analysis: Snoop on your rivals! See what their customers love (or complain about) to find your competitive edge.
• Market Research: Looking to open a new business? Check the vibe of local cafes and stores in the neighborhood.
• Sentiment Analysis: Download the data to build charts, word clouds, or feed it into AI tools to gauge overall customer happiness.

✨ Why you'll love this scraper

• 🎯 Pinpoint Accuracy: Because it uses a direct URL input, you scrape exactly the place you want—no mix-ups.
• 🌍 Language Barrier Removed: Every review is automatically translated into your selected target_language (default: English), while still keeping the original text.
• ⏱️ Clean Dates: We turn confusing timestamps like "6 hours ago" into clean, sortable calendar dates (e.g., 2025-05-20).
• 👤 Deep Insights: Get the reviewer's name, star rating, profile picture, and even see if they are a trusted "Local Guide".

🔗 How to get the Google Maps URL

Getting the right link is as easy as 1-2-3:

1. Open Google Maps and find the place you want to scrape.
2. Click the Share icon in the overview panel.
3. Click Copy Link in the popup.
4. Paste this link into the url input field of the scraper!

📦 What's inside the data?

For every single review, you will get:

• The Text: Both the original_review and the english_review.
• The Date: The exact parsed timestamp (ISO format) and the raw_timestamp ("3 weeks ago").
• The Score: The star rating (1 to 5) and the detected language.
• The Reviewer: Their name, profile link, total review count, and Local Guide level.

🛠️ Sort options

You can tell the scraper what order to read the reviews in:

• Newest – Most recent first (default and highly recommended!)
• Most relevant – Google’s default sorting
• Highest rating – 5 stars down to 1
• Lowest rating – 1 star up to 5

🚀 Quick start

1. Get the URL from Google Maps using the Share button.
2. Paste it into the url field.
3. Pick your target_language (e.g., en for English, es for Spanish, pt for Portuguese).
4. Set max_reviews (how many you want, up to 500).
5. Choose your sorting (e.g., "Newest").
6. Click Start and let it run! ☕ Once it's done, you can export your data as a CSV, Excel spreadsheet, or JSON file.

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Tech details for developers 🧑‍💻

Input Example:

{
  "url": "https://maps.app.goo.gl/x5N9m9q7xUpXtruR8",
  "max_reviews": 500,
  "sort_by": "Newest",
  "target_language": "en"
}

Output Example:

{
  "review_id": "Ci9DQUlRQUNvZENodHljRjlvT201a2NYZ3lZbXB4Tm05aWNFVkJXVVYyZGpscFRIYxAB",
  "original_review": "Ruhig, etwas Abseits gelegen. Innen sehr schön eingerichtet und gemütlich. Ich hatte Pulpo ti Maria und Thunfischtatar und war sehr begeistert. Auch der Wein war gut.",
  "english_review": "Quiet, somewhat secluded. Inside very nicely decorated and cozy. I had Pulpo ti Maria and tuna tartare and was very impressed. The wine was also good.",
  "review_url": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT201a2NYZ3lZbXB4Tm05aWNFVkJXVVYyZGpscFRIYxAB!2m1!1s0x0:0x84035b845ac2f15c!3m1!1s2@1:CAIQACodChtycF9oOm5kcXgyYmpxNm9icEVBWUV2djlpTHc%7C0dLiKe_Vkp3%7C?hl=en",
  "rating": 5,
  "source": "Google",
  "raw_timestamp": "a month ago",
  "timestamp": "2026-02-03T22:32:39",
  "language": "de",
  "author_name": "Claudia Heinz",
  "author_id": "103070251665876657030",
  "author_profile_link": "https://www.google.com/maps/contrib/103070251665876657030?hl=en",
  "author_profile_picture": "https://lh3.googleusercontent.com/a/ACg8ocKTTzffvyf1VtcS6wypzJzuen7oqreiY5R5z0jDCyG8m7HrRA=s120-c-rp-mo-br100",
  "author_review_count": 7,
  "author_local_guide_level": 0,
  "author_badge": null
}