How to Export Google Reviews: A Step-by-Step Guide

Extract all customer reviews for analysis, marketing, and machine learning

You might find it useful to automate exporting Google Reviews in certain cases. Marketers use the reviews to find new prospects for businesses. Data scientists use reviews as a source of data for AI and machine-learning models. They extract reviews from Google and feed them into AI and machine-learning models. Developers use it as a source of data for their algorithms.

In this tutorial, you will learn about the ultimate way of extracting all the Google Maps reviews by using a Google Reviews Scraper. Whether you need reviews for sentiment analysis, competitor research, or lead generation, this guide will show you exactly how to export them efficiently.

Let’s Get Started

1. Sign Up for a Google Reviews Scraper Account

Create an account at a Google Reviews Scraper platform. With its help, you will be able to scrape Google Maps reviews into a CSV/Excel file, or you can use an API and do it from your code. Most platforms offer a monthly free tier that you can use. The free tier is monthly renewable, so it will be enough for small projects.

Key benefits of using a dedicated Google Reviews Scraper include:

• No coding required for basic extraction

• Export to multiple formats (CSV, Excel, JSON)

• API access for developers

• Handle large volumes of reviews automatically

2. Insert Links, IDs, or Enter Categories with Locations

After you’ve created an account, open the Google Reviews Scraper and insert the link to your place, place ID, or enter the organization name, location, or categories.

You can use several input types:

• Google Maps URL: Paste the direct link to the business on Google Maps

• Place ID: Enter the unique Google Place identifier

• Business Name + Location: Search by name and city (e.g., “Trump Grill, New York, United States”)

• Category + Location: Extract reviews from all businesses in a category (e.g., “Restaurants in Chicago”)

3. Select Sorting and Set Up Limits

A good Google Reviews Scraper allows you to control exactly which reviews to extract. You can specify the limit of reviews per one organization. Another way to limit the extraction is to set up a cutoff rating or cutoff date (depends on the sorting you are using).

Available sorting options typically include:

• Most Relevant: Google’s algorithm determines which reviews are most useful

• Newest: Reviews sorted by date, newest first

• Highest Rating: 5-star reviews first

• Lowest Rating: 1-star reviews first

4. Check the Advanced Parameters

Professional Google Reviews Scraper tools offer advanced filtering options to refine your extraction:

• Ignore Empty Reviews: Skip reviews that contain only ratings without text

• Language Filter: Extract only reviews in specific languages

• Date Range: Filter reviews by publication date

• Rating Filter: Extract only reviews with specific star ratings

• Owner Responses: Include or exclude business owner replies

• Tags: Add custom tags to organize your extraction tasks

5. Check the Query and Confirm the Extraction

You will be prompted to check a few queries once you click the “Scrape reviews” button. Open the query and make sure that it is what you want (you should see the organization you need). This verification step ensures you’re extracting reviews from the correct businesses before committing resources.

The Google Reviews Scraper will display:

• Business name and address

• Current rating and total review count

• Estimated extraction time

• Cost in API credits (if applicable)

6. Wait Until the Task is Finished

The duration of the task depends on the number of places and reviews you want to scrape. You will receive an email once the task is finished. Moreover, you can open the tasks page to check the progress of your task.

Most Google Reviews Scraper platforms provide:

• Real-time progress tracking

• Email notifications upon completion

• Task history and logs

• Ability to pause or cancel running tasks

7. Download the Results File

After the extraction is finished, you can download an Excel file by opening a link from the email or from the tasks page. It contains information about the place and reviews.

The exported data from a Google Reviews Scraper typically includes:

• Business Information: Name, address, phone, website, rating, total reviews

• Review Content: Review text, star rating, date, reviewer name

• Review Metadata: Review ID, likes, images attached

• Owner Responses: Business replies to reviews (if any)

Common Use Cases for Google Reviews Data

A Google Reviews Scraper serves multiple business purposes:

• Reputation Management: Monitor your business reviews across all locations and respond promptly to customer feedback

• Competitor Analysis: Analyze competitor reviews to identify their strengths and weaknesses

• Lead Generation: Find businesses with poor ratings that may need your services

• Sentiment Analysis: Feed review data into AI models for automated sentiment classification

• Market Research: Understand customer preferences and pain points in specific industries

Conclusion

Exporting Google Reviews doesn’t have to be complicated. With a reliable **Google Reviews Scraper**, you can extract comprehensive review data in just a few clicks. Whether you’re a marketer looking for leads, a data scientist building AI models, or a business owner monitoring your online reputation, the process is straightforward and efficient.

Start with the free tier to test the capabilities, and scale up as your needs grow. The ability to export reviews in multiple formats, filter by various criteria, and access data via API makes a professional Google Reviews Scraper an essential tool for any data-driven business strategy.