Google Maps Reviews Scraper

Scrape all the reviews from Google Maps. It only takes 6 minutes to sign up and get started.

Demo extraction


Pricing Plans

Pay as you go with monthly metered usage billing.

Free Tier

Usage before 500 reviews

  • Price per one review for the usage from 1 to 500 reviews
Started Tier

Usage after 500 reviews

  • Price per one review for the usage from 501 to 50,00 reviews
Business Tier

Usage after 50,000 reviews

  • Price per one review for the usage after 50,000 reviews
Money Back
We offer a full refund within 3 days after the purchase in case Outscraper's solutions didn't work for you.

Reviews Data Dictionary

Columns names and descriptions for Google Reviews.

  • name - name of the place on Google Maps.
  • google_id - unique identifier of the place.
  • location_link - link to the place.
  • reviews_link - link to the place reviews.
  • reviews_per_score - JSON object with scores and the number of reviews per each score.
  • rating - rating of the review.
  • review_id - unique identifier of the review.
  • author_link - link to author's profile on Google Maps.
  • author_title - title of the author's profile page.
  • author_id - unique identifier of the author.
  • author_image - image link from the author's profile page.
  • review_text - text of the review (if exists).
  • review_img_url - image link from the review (if exists).
  • owner_answer - text of the owner replay (if exists).
  • owner_answer_timestamp - timestamp value when owner replied (if exists).
  • owner_answer_timestamp_datetime_utc - datetime value when owner replied (if exists).
  • review_link - link to the review.
  • review_rating - rating of the review.
  • review_timestamp - timestamp value when review created.
  • review_datetime_utc - datetime value when review created.
  • review_likes - amount of the review's likes.
  • reviews_id - unique identifier of the place's reviews.

Video tutorial

Use cases


Use our API to build new apps. Integrate an unlimited amount of data into your existing platform.

Data Science

Build cutting-edge technologies with the relevant data. Power data into your AI and Machine Learning models.


Investigate the market and find new prospects for businesses with real-time market data.

Why scrape with Outscraper?


We're trusted by more than 2700 happy customers worldwide — from individuals to big enterprises.

Cutting-edge technologies

We apply cutting-edge technologies to scraping in order to make sure you get exactly what you need.

Regular updates

We're keeping the software up to date so you can keep on scraping despite any site changes.


We use powerful servers placed in many locations to make sure you receive the data in time.​

Limitless scraping

All extractions are handled by our core that was specially designed to be able to handle millions of tasks simultaneously.

Try for free with monthly renewable free tier.

API Docs

Use the data from your app. Check out the API Docs.


Chrome extension

Extend abilities of Google Maps by downloading the extension


Connect Outscraper to other apps and automate workflows.
Enrich your CRM data with HubSpot integration

What clients say

Our clients

Trusted by more than 5000 happy customers worldwide.

10% OFF

Sign up now and use promo code: SCRAPER2021 to get the discount.

Contact Us

Questions, special needs, issues... Always happy to hear from you.


Most frequent questions and answers

Google Maps reviews scraping, harvesting, or extracting is a process of getting businesses reviews from the Google Maps site. It automates manual exporting of the reviews.

Scraping and extracting of public data is protected by the First Amendment of the United States Constitution.

Yes. You can scrape all the reviews from Google Maps by using Google Maps reviews scraper.

  1. Login to Google Maps reviews scraper.
  2. Insert the link to Google Maps place that you want to extract reviews from.
  3. Select language and check other advanced parameters.
  4. Click “Scrape reviews”.
You can use google-services-api package to scrape the reviews in your python code.