How do I extract reviews from G2 using the Chrome extension?

Simply install our G2 Review Extractor Chrome extension, visit any G2 product page, click the extension icon, and select your export format (CSV or Excel). The extension will automatically extract all visible reviews with ratings, dates, and reviewer information.

Can I extract reviews from Trustpilot with the Chrome extension?

Yes! Our Trustpilot Review Extractor Chrome extension works on any Trustpilot business page. Just install the extension, navigate to the business page you want to analyze, and click the extension to export all reviews to CSV or Excel format.

What data is included in the exported reviews?

Our Chrome extensions extract comprehensive review data including: star ratings, review text, review dates, reviewer names, reviewer titles, company information, and helpfulness scores. All data is exported in a clean CSV or Excel format ready for analysis.

How many reviews can I extract at once?

Our Chrome extensions can extract thousands of reviews in a single operation. The exact number depends on the platform and page structure, but we've successfully extracted over 10,000 reviews from a single G2 product page in under 5 minutes.

Do I need any technical knowledge to use these Chrome extensions?

No technical knowledge required! Our Chrome extensions are designed for business users, market researchers, and data analysts. Simply install the extension, visit the review page, and click one button to export all reviews. No coding or technical setup needed.

How to Export Capterra Reviews to CSV/Excel (Step-by-Step)

TL;DR

If you're doing SaaS research, competitor analysis, or internal reporting, you'll eventually need Capterra reviews in a spreadsheet.

You have two options:

Manual way – copy/paste reviews one by one (slow, error-prone, misses hidden data)
One-click way – use the Capterra Review Extractor Chrome extension to export ratings, dates, reviewer info, and full text directly to CSV/Excel in seconds

👉 Fastest path: install the Capterra Review Extractor → open any Capterra product → click "Export" → download .csv/.xlsx → (optionally) upload to AI Analytics for instant insights.

What you get when you export Capterra reviews

With the extension, you can export:

Rating (1–5) – star rating for each review
Review date – when it was posted
Reviewer name / role – name or alias + job title when available
Review title + full text – complete pros/cons section, not just the snippet
Product name & URL – which product the review belongs to
Meta when available: Company size, Industry, Time used, Frequency of use, Country

All of that goes into a clean CSV/Excel file you can drop into Sheets, Excel, or your BI tool.

Method 1 – Manual copy-paste (works, but painful)

If you only need 3–5 reviews, you can do it manually:

1Open the product's Capterra page (e.g., capterra.com/p/12345/<product-name>/reviews/)
2Scroll down to the Reviews section
3Expand the review so full text is visible
4Manually copy: Rating, Date, Title, Review text, Reviewer name/role
5Paste into a spreadsheet
6Repeat… for every single review & page 😬

Downsides:

Easy to miss hidden/expanded sections
You'll introduce copy/paste errors
Pagination makes this horrible at any real scale
You'll lose your weekend if you need 200+ reviews

If you're doing real analysis or competitor research, you'll want the faster method.

Method 2 – One-click export with the Capterra Review Extractor (recommended)

Requirements: Chrome 88+ • Time: 30–120 seconds for hundreds of reviews

1. Install the Capterra Review Extractor

Go to the Chrome Web Store and search for "Capterra Review Extractor – Reviews Exporter", then click Add to Chrome.

[screenshot spot: Chrome Web Store listing with "Add to Chrome" button]

Once installed, you'll see the extension icon in your toolbar.

2. Open any Capterra product's review page

Go to the product you care about, click the Reviews tab, and apply filters if needed:

Date range
Rating (e.g. only 1–3 ★)
Industry / company size

The extension will respect whatever filters are active on the page.

3. Click the extension → choose format → start export

Click the Capterra Review Extractor icon and choose:

CSV – best for pipelines / BI tools
Excel (.xlsx) – best for Excel/Sheets users

(Optional) Set a maximum number of reviews to export, then hit Start Export.

The extension will scroll & load all visible reviews, traverse pagination as needed, extract ratings, dates, reviewer info, text, and metadata, and build the file locally in your browser. No server round-trip, no account required.

4. Download your file

You'll get something like: capterra_reviews_<product>_<YYYY-MM-DD>.csv

Example header:

rating,date,reviewer_name,reviewer_role,review_title,review_text,product,product_url,company_size,industry,country

Now you can open it in Excel/Sheets for quick pivots, import into your BI tool, or upload to your AI Analytics dashboard for automatic sentiment, pain point, and feature-request detection.

Quick data cleaning tips (Excel/Sheets)

Once you've got the CSV:

Normalize dates – Convert to YYYY-MM-DD. This makes time-series pivots easy.
Create a sentiment bucket column – 1–2 stars → Negative, 3 stars → Neutral, 4–5 stars → Positive
Tag competitors – If you exported multiple products, add a product column so you can compare.
Use filters or conditional formatting – Highlight 1★ and 2★ reviews. Search for keywords like support, pricing, integration, bug.

If you don't want to do this manually every time, the AI dashboard can automate it (next article) 👇

What people typically use exported Capterra reviews for

Competitor analysis – What do users hate about alternatives?
Roadmap planning – Which features and integrations are requested again and again?
Marketing copy – Steal the exact language users use to describe pains & wins
Investor decks – "Here's what the market complains about today" slide
Reputation monitoring – Track your own sentiment over time

Next: Turn those Capterra reviews into insights in minutes

Once you've got reviews exported, you can either:

DIY in Excel/Sheets (good for small datasets), or
Upload to AI Analytics, and let the models cluster pain points, pull out feature requests, compare you vs competitors, and generate an exec-level summary with real quotes

Try the Capterra Review Extractor

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