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

Online reviews are the new word-of-mouth, and Google Reviews sit right at the heart of that conversation. If you’ve ever tried to make sense of your business’s reputation—or keep up with what customers are saying about your competitors—you know how powerful these reviews can be. But here’s the kicker: while , and a single star can swing your revenue by up to 9%, Google doesn’t make it easy to export those reviews for analysis. I’ve seen teams spend hours copy-pasting, only to end up with messy, incomplete spreadsheets—and a few headaches to boot.

That’s why I’m excited to share a much simpler way. As someone who’s spent years building automation and AI tools at , I’ve watched businesses transform their review management by switching from manual grunt work to smart, AI-powered exports. In this guide, I’ll walk you through exactly how to export Google Reviews—step by step—using Thunderbit’s AI Web Scraper. Whether you want to analyze trends, monitor reputation, or just keep a tidy backup, you’ll find a workflow here that saves time, reduces errors, and gives you data you can actually use.

What Does It Mean to Export Google Reviews?

Let’s start with the basics. Exporting Google Reviews means taking all those customer comments, ratings, and dates from your Google Business Profile and saving them in a structured format—like Excel, Google Sheets, or CSV. Instead of scrolling through reviews one by one, you get a tidy table where each review is a row and each detail (reviewer name, date, rating, content, etc.) is a column.

Here are the most common data fields businesses want when exporting Google Reviews:

• Reviewer Name: Who left the review
• Review Date: When the review was posted (ideally as an exact date, not just “2 weeks ago”)
• Star Rating: The 1–5 star score
• Review Text: The full content of the review
• Review URL: Direct link to the review (for reference)
• Reviewer Profile URL: Link to the reviewer’s Google profile
• Owner’s Response: Any reply from the business owner
• Other fields: Sometimes, you might want to know if the reviewer is a Local Guide, if photos are attached, or even the review’s unique ID

Why bother exporting at all? Because once your reviews are in a spreadsheet, you can:

• Sort and filter by rating, date, or keywords
• Track sentiment and trends over time
• Quickly spot recurring complaints or praise
• Back up your data in case Google ever removes or hides reviews
• Share insights across your team, or even benchmark against competitors

In short, exporting reviews turns scattered feedback into a business asset you can actually act on.

Why Exporting Google Reviews Matters for Your Business

The value of exported review data goes way beyond just having a backup. Here’s how businesses are using it to drive real results:

Let’s put some numbers behind it: , and a . When you export and analyze your reviews, you’re not just keeping score—you’re building a playbook for growth.

Comparing Methods: How to Export Google Reviews

So, how do you actually get your reviews out of Google and into a spreadsheet? There are a few ways, each with its own quirks:

Let’s break down each method:

Manual Copy-Paste

This is the “old-school” way—scroll through your Google Reviews, copy each one, and paste it into Excel. It’s free, but also:

• Extremely time-consuming (imagine doing this for hundreds of reviews)
• Error-prone (easy to skip or misalign data)
• Not scalable (forget about regular updates)

Honestly, I wouldn’t wish this on my worst enemy.

Google Takeout

is Google’s official way to export your business data—including reviews. It’s great for a one-time backup, but:

• Exports in JSON format (not Excel or CSV)
• Requires technical know-how to convert and parse the data
• Only works for businesses you own/manage—not competitors
• No automation; you have to repeat the process manually for updates

If you’re comfortable wrangling JSON files, it’s an option. For most business users, it’s a headache.

Browser Extensions

There are several Chrome extensions that automate scrolling and let you export visible reviews to CSV. They’re a step up from manual work, but:

• Can be slow or crash with large numbers of reviews
• Often miss owner responses or exact dates (you get “2 weeks ago” instead of “2025-06-01”)
• Usually require you to run the export manually each time
• May need cleanup after export (formatting issues, missing fields)

They’re handy for small jobs, but not ideal for ongoing, structured analysis.

AI Web Scraper (Thunderbit)

This is where comes in. Thunderbit is an that makes exporting Google Reviews as easy as clicking a button. Here’s what sets it apart:

• AI Suggest Fields: Just describe what you want (e.g., “reviewer, date, rating, review text”) and Thunderbit’s AI sets up the fields for you—no coding, no templates
• Handles Pagination: Thunderbit automatically scrolls and loads all reviews, even for businesses with thousands of entries
• Advanced Data Structuring: Supports data labeling, translation, and formatting—so your export is always clean and analysis-ready
• Scheduling: Set up automatic exports (e.g., every Monday at 9am) so your data is always up to date
• Direct Export: Send your data straight to Excel, Google Sheets, Airtable, or Notion—no manual downloads needed

It’s genuinely the easiest and most flexible solution I’ve seen, especially for teams that want to move fast and avoid technical hassles.

Step-by-Step Guide: How to Export Google Reviews with Thunderbit

Ready to ditch the copy-paste marathon? Here’s how to export Google Reviews with Thunderbit—no technical skills required.

Step 1: Install Thunderbit Chrome Extension

First, head to the and click “Add to Chrome.” It’s lightweight, easy to set up, and you’ll see the Thunderbit icon in your toolbar once it’s installed. There’s a free tier, so you can try it out right away.

Step 2: Navigate to the Google Business Profile Page

Open Google Maps or Google Search and find the business whose reviews you want to export. Click on the reviews count (e.g., “123 reviews”) to open the full reviews panel. Make sure you’re seeing all the reviews—Thunderbit will handle the rest, but it’s good practice to start from the dedicated reviews page.

Step 3: Use “AI Suggest Fields” for Automatic Data Setup

Click the Thunderbit extension icon. In the sidebar that appears, hit “AI Suggest Fields.” Thunderbit’s AI will scan the page and automatically suggest the best columns—like Reviewer Name, Review Date, Star Rating, and Review Text. You can accept these suggestions or tweak them (add Owner Response, for example) if you want extra details.

Step 4: Start the Scraping Process

Click “Scrape.” Thunderbit will automatically scroll through all the reviews, loading more as needed, and extract every review—even if there are hundreds or thousands. If you have a massive volume, Thunderbit’s cloud scraping mode can fetch data even faster by running multiple requests in parallel.

Step 5: Export Data to Excel, Google Sheets, or Other Formats

Once the scrape is done, you’ll see a preview of your data in a table. Click “Export” and choose your preferred format:

• Excel (.xlsx)
• CSV
• Google Sheets (direct sync)
• Airtable
• Notion
• Or just copy to clipboard

All exports are free and unlimited—no hidden fees or paywalls.

Step 6: (Optional) Schedule Automated Review Exports

Want to keep your review data fresh without lifting a finger? Use Thunderbit’s scheduling feature. Just describe your interval in plain English (“every Monday at 9am”), and Thunderbit will automatically re-run the export and update your data in Sheets, Airtable, or wherever you need it. Perfect for weekly reputation monitoring or monthly trend reports.

Thunderbit’s Advanced Features for Google Reviews Export

Thunderbit isn’t just a “download button”—it’s a full AI-powered data assistant. Here’s how it solves common review export headaches:

• Data Labeling: Add custom AI prompts to label sentiment (“Positive,” “Negative,” “Neutral”), categorize reviews by topic, or summarize long comments
• Translation: Automatically translate reviews into your preferred language—great for global businesses or tourist destinations
• Formatting: Convert “2 weeks ago” into an exact date, standardize star ratings, or clean up messy text
• Subpage Scraping: If you want to enrich your data with reviewer profiles or owner responses, Thunderbit can follow links and pull in extra details
• Pagination Handling: No need to scroll manually—Thunderbit loads every review, even on long lists or infinite scroll pages

The result? You get a structured, analysis-ready dataset—no cleanup required.

Troubleshooting Common Issues When Exporting Google Reviews

Even with AI, web data can throw a few curveballs. Here’s how Thunderbit helps you stay on track:

• Missing Reviews: Make sure you’re on the full reviews page and not filtering by “Top reviews” or “Most relevant.” Thunderbit will load all available reviews, but if Google hides some for policy reasons, they may not be accessible.
• Relative Dates: If you see “1 year ago” instead of a real date, use Thunderbit’s AI prompt to convert it to a standard date format. The AI can handle this automatically during export.
• Large Data Sets: For thousands of reviews, use Thunderbit’s cloud scraping mode for faster, more reliable exports.
• Formatting Issues: Export directly to Google Sheets or Airtable to avoid CSV quirks. Thunderbit handles special characters and line breaks, but you can always add a prompt to clean up text if needed.
• Owner Responses Missing: Add a custom field for “Owner Response” and Thunderbit will pull in any replies from the business owner.

If you ever hit a snag, Thunderbit’s documentation and support are there to help. And since the tool is actively maintained, it adapts quickly to any changes in Google’s layout.

Maximizing Business Value from Exported Google Reviews

Exporting your reviews is just the first step. Here’s how to turn that data into real business value:

• Sentiment Analysis: Use Thunderbit’s AI labeling or feed your exported data into a sentiment analysis tool to track customer mood over time.
• Trend Tracking: Visualize average ratings, review counts, or keyword frequency in Google Sheets, Excel, or BI tools like Tableau or Power BI.
• Customer Response Workflows: Filter for 1–3 star reviews and assign them to your support team for follow-up. Track response rates and resolution times.
• Competitive Benchmarking: Export competitor reviews and compare strengths, weaknesses, and recurring themes.
• Marketing Insights: Identify and highlight your best reviews in marketing campaigns—Thunderbit can even export review URLs for easy reference.

The key is to make review analysis a regular part of your business rhythm. With scheduled exports and structured data, you can set KPIs, track improvements, and close the loop on customer feedback.

Conclusion & Key Takeaways

If you’ve ever felt overwhelmed by the sheer volume (and messiness) of Google Reviews, you’re not alone. But exporting and analyzing those reviews doesn’t have to be a chore—or a technical nightmare. With , you can:

• Export all your Google Reviews in just a couple of clicks—no coding, no templates, no manual scrolling
• Get structured, analysis-ready data with customizable fields, sentiment labels, and translations
• Automate your exports so your team always has the latest feedback at their fingertips
• Integrate directly with your favorite tools—Excel, Google Sheets, Airtable, Notion, and more
• Spend less time wrangling data, and more time acting on insights that drive growth

Thunderbit offers a free trial, so you can see the results for yourself in minutes. If you’re ready to turn your Google Reviews into a strategic asset, and give it a spin. And for more tips on web scraping, automation, and business intelligence, check out the .

FAQs

1. What data fields can I export from Google Reviews with Thunderbit?
Thunderbit can extract reviewer names, review dates (with exact date formatting), star ratings, review text, review URLs, owner responses, and more. You can also add custom fields for sentiment, translation, or categorization using AI prompts.

2. Can Thunderbit handle businesses with thousands of reviews?
Yes—Thunderbit’s cloud scraping mode is designed for speed and scale. It can fetch thousands of reviews quickly, handling pagination and infinite scroll automatically.

3. How do I keep my exported review data up to date?
Use Thunderbit’s scheduling feature to automate exports. Just set your preferred interval (e.g., weekly), and Thunderbit will update your data in Google Sheets, Airtable, or wherever you need it.

4. What if my reviews are in multiple languages?
Thunderbit’s AI can translate reviews into your preferred language during export, making it easy to analyze feedback from global customers.

5. Is there a free way to try exporting Google Reviews with Thunderbit?
Absolutely! Thunderbit offers a free tier so you can export a limited number of pages and see the results for yourself. Just and get started.

Exporting Google Reviews shouldn’t be a hassle. With Thunderbit, it’s finally as easy as it should be—so you can focus on what really matters: listening to your customers and growing your business.

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