Google Maps Review Scraper

Google Maps Review Scraper

Detailed scraper of Google Maps text only reviews.

AUTOMATIONApify

Google Maps Review Scraper

Google Maps Review Scraper is designed to scrape text review data from Google Maps.

Features

  • Review Sort Type Specify which type of reviews you want to scrape (Newest / Most relevant / Highest ratings / Lowest ratings)
  • Average Scraped Review Rating: See what the average review rating is based on your scrape type.
  • Detailed Scrapes: See details like the user name, when it was posted, if the owner has responded and when.
  • Dynamic URLs: Enter either the Google Maps share URL (https://maps.app.goo.gl/x) or entire place URL (https://www.google.com/maps/place/x).
  • Multiple URLs: Scrape multiple URLs.

Output Headers

  • Location Name
  • Location URL
  • Location Rating
  • Total Reviews
  • Scraped Text Reviews
    • reviewNumber
    • reviewText
    • reviewRating
    • reviewerName
    • reviewDate
    • responseFromOwner
    • responseFromOwnerText
    • responseFromOwnderDate
  • Scraped Reviews Average Rating
  • Sort Type Used

Result Example

1{
2    "Location Name": "Example Place",
3    "Location URL": "https://www.google.com/maps/place/example+place",
4    "Total Rating": "4.5",
5    "Total Reviews": 118,
6    "Scraped Text Reviews": [
7        {
8            "reviewNumber": 1,
9            "reviewText": "The ambiance was charming, but the service left much to be desired. I was really looking forward to a great meal but ended up disappointed.",
10            "reviewRating": 2,
11            "reviewerName": "Alex Johnson",
12            "reviewDate": "6 months ago",
13            "responseFromOwner": true,
14            "responseFromOwnerText": "We appreciate your feedback and are sorry to hear about your experience. We'll strive to do better!",
15            "responseFromOwnerDate": "5 months ago"
16        },
17        {
18            "reviewNumber": 2,
19            "reviewText": "Absolutely loved the variety of products! The staff was friendly and very helpful. Will definitely return!",
20            "reviewRating": 5,
21            "reviewerName": "Maria Garcia",
22            "reviewDate": "1 month ago",
23            "responseFromOwner": false,
24            "responseFromOwnerText": null,
25            "responseFromOwnerDate": null
26        },
27        {
28            "reviewNumber": 3,
29            "reviewText": "Had a mixed experience. Some items were great, while others were not fresh. Hoping for better next time.",
30            "reviewRating": 3,
31            "reviewerName": "James Smith",
32            "reviewDate": "1 year ago",
33            "responseFromOwner": true,
34            "responseFromOwnerText": "Thank you for your review! We take your comments seriously and will work on improving our selection.",
35            "responseFromOwnerDate": "11 months ago"
36        }
37    ],
38    "Scraped Reviews Average Rating": 3.3,
39    "Sort Type Used": "Most relevant"
40}

Notes

  • Outputs will only be in English, and non English inputs will be converted to the English version of Google Maps.
  • This will only scrape reviews that have written text. If a review is only a rating or only an image, it will not be returned in the dataset.

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!