google maps reviews scraper icon
250 results/minute
freeFree

Google Maps Reviews Scraper

Scrape all reviews from a Google Maps Local Business. Extremely fast. For free.

Download sample
users1485 users
runs32201 runs

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This powerful Google Maps Reviews Scraper will help you to scrape all Reviews from a Google Maps Local Business URL. With 21 data attributes, including username, date of publication, score and description.

Data Attributes

  1. Review ID
  2. CID
  3. Language
  4. Review Text
  5. Review Score
  6. Review Pictures
  7. Place ID
  8. User Link
  9. Reviewer Name
  10. Visited Date
  11. Total Likes
  12. Review Published At
  13. Total Reviews
  14. User Image URL
  15. Review Position in Results
  16. User Internal ID
  17. Internal Review ID
  18. User Average Score
  19. User Reviews Count
  20. Is User a Local Guide
  21. Response from Owner

Our Google Maps Reviews Scraper accepts all type of Google Maps Local Businesses URLs, from any country and from any business category. Collect all reviews from any business around the world.

Use cases of Google Maps Reviews Scraper

Our Google Maps Reviews Scraper is an invaluable tool for businesses and analysts. It specifically matches your data scraping needs if you need to:

  1. Track market qualitative strengths and weaknesses.
  2. Gain valuable insights into customer sentiments and opinions about various businesses.
  3. Identify common themes and trends in customer feedback.
  4. Create comprehensive qualitative analyses for market research.
  5. Collect and compare reviews from competitors.
  6. Identify competitors' strengths and weaknesses.
  7. Analyze competitor customer satisfaction scores and review counts.
  8. Refine business strategies based on competitor data.
  9. Monitor reviews of your business to track customer satisfaction over time.
  10. Identify areas of excellence and areas needing improvement based on customer feedback.
  11. Make data-driven decisions for enhanced customer experience and reputation management.

Key features of Google Maps Reviews Scraper

Lobstr.io is the fastest Google Maps reviews scraper online. It can scrape up to 250 reviews per minute by default.

Want more? Increase the concurrency to speed up data extraction up to 40x.

Increase Concurrency

Once complete, download the structured and valuable dataset as CSV file. You can view the CSV file in MS Excel.

You can also export your Google Maps Reviews data to a googlesheet, a s3 bucket, or simply receive it by email.

Export to Google Sheet

Launch your scraper on a recurring basis. With our schedule feature, you can specify how often you need to scrape, and we’ll trigger the launch at the hour suggested. For instance, every weekday at 8AM.

Schedule

All hours on the app are GMT+0 i.e. if you schedule at 8AM, the Google Maps Reviews scraping will start at 10AM Paris Time.

All automations do happen are cloud-based. It means you do not need to provide any computer resources to achieve the Google Maps Reviews scraping. Get the cloud data you need. Relax.

Use the advanced settings to collect exactly what you need. Collect the reviews in the order of your choice: from newest to oldest, from highest to lowest rated, or by "relevance".

Google Maps Reviews Scraper Settings

Or stop collecting once you have collected a given number of reviews. Get specifically what you want.

Once the collection is complete, receive a success notification in your mailbox. Keep alway in touch with the automated process. Good news is speaking loud and clear!

Create your own customized Google Maps reviews scraper using our developer-friendly API or integrate this crawler into your own apps.

How to?

Limitations

There are simply no limits with this collection tool. 1000 or 10000 reviews, you can collect them all!

However, please note that the number of reviews you can retrieve is defined by the sort by parameter.

  1. No limit with newest.
  2. 1500 reviews max. with most_relevant.

Make sure you choose newest if you want to get all reviews.

Beside, who scrapes slowly, scrapes surely. For your account safety purpose, as well as for clear legal boundaries, this scraper will scrape up to 250 reviews per minute. For example, if you need to scrape 300 review, it will last 2 minutes.

Trusted by the best

Used obsessively by the data-hungry around the world

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Frequently Asked Questions

I have 100 Google business listings to scrape reviews from, do I have to scrape each of them manually?

No, you can save their URLs in a text file and upload them as tasks. The scraper will extract them one by one without your interference required.

What can I scrape with Google Maps Reviews Scraper?

You can collect all the reviews of any Google Maps place using Lobstr.io’s no-code web scraper with 21 data points.

How fast can I scrape reviews with Google Maps Reviews Scraper?

Up to 250 reviews per minute. The fastest machine available in town. You can further increase the speed up to 40 times by increasing the concurrency.

How much does Google Maps Reviews Scraper cost?

It's free! You can collect up to 2000 reviews per day with our free plan. Above that limit, feel free to check our user-friendly pricing simulator, available on the page.

How many reviews can I scrape per business?

There is no hard limit. With Lobstr's reviews extractor, you can collect all reviews of any local business on Google Maps.

Where can I find the URL of a local business?

You can find and copy the Google Maps URL of any local business following these simple steps.

  1. Go to maps.google.com or type Google Maps in Google search and open the first link.
  2. Type a search query or a business name in Maps search box.
  3. Click on the business you want to scrape reviews from
  4. Copy the URL from address bar

Can I collect everyday reviews of my local business?

Sure! Use our scheduling feature, and trigger a data collection on a regular basis: every 5 minutes, every day at 8 AM, or every 1st of the month, at a given time.

Do I have to leave my computer on?

No, definitely not. Data collection is cloud-based. It means it the scraper runs on our servers. You can close your tab, close the entire window, or leave your computer turned off without worrying about a thing.

The data will be available for you next time you open Lobstr.io's dashboard.

How can I view collected reviews after data extraction is completed?

You can view live reviews data while the scraper is running. It’s visible right below the live console. Once completed, you can download the dataset in CSV format.

You can open the CSV file in Excel Spreadsheet or export the data to your Google Sheets.

If you prefer JSON, you can convert your CSV into JSON file using this free tool.

Is there any tutorial or demonstration video to use Google Maps Reviews Scraper?

You can find a demonstration video right on this page in Video Tutorial section below the pricing calculator.

For a detailed how-to guide, check out How to scrape Google Maps Reviews at scale article.

Does Lobstr.io have any Google Maps API for web scraping data using Python?

We have a developer-ready API for integrating our scraping tools to your own projects or to extract data using programming languages like Python or Node.js.

Is it legal to scrape Google Maps reviews?

Google explicitly discourages people from scraping data from Google Maps. It prohibits users from downloading data in bulk or using any automated approach.

But not allowed doesn't mean not legal. It's still legal to scrape Google Maps reviews.

Here is a detailed post answering the question — Is scraping legal on Google Maps?

What are the best practices for scraping reviews from Google Maps without violating terms of service?

  1. Review Google's Terms of Service to ensure compliance and avoid violations.
  2. Limit the Frequency and Volume of Requests to avoid overwhelming Google's servers.
  3. Store Data Securely and Ethically to respect user privacy and avoid misuse.
  4. Monitor for Changes in Terms and Conditions to adapt practices and remain compliant.
  5. Seek Permission Where Possible for extensive data needs or specific use cases to stay within legal and ethical boundaries.

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