How to Export G2 Reviews to CSV/Excel (Step-by-Step)
Learn the fastest way to export G2 reviews to CSV or Excel, including ratings, dates, reviewer info, and full text. Step-by-step tutorial with free template.
If you're doing competitive analysis, market research, or reporting, you'll often need G2 reviews in a structured format. In this guide, you'll learn two methods—manual and one-click—plus tips for cleaning the data for analysis.
TL;DR: The fastest method is the G2 Review Extractor Chrome extension. It pulls ratings, dates, reviewer names, and full text into CSV/Excel in seconds.
What You'll Get (Fields We Export)
- Rating (1–5) - Star ratings from each review
- Review date - When the review was posted
- Reviewer name (or alias) - Who wrote the review
- Review title & full review text - Complete review content
- Product name & URL - Which product was reviewed
- (Optional) Pros/Cons, Industry, Company size — when present on the page
Method 1: Manual Copy-Paste (Works, but slow)
- 1Open a G2 product page (e.g.,
g2.com/products/<product-name>/reviews). - 2Expand each review to show full text.
- 3Copy the visible fields into a spreadsheet.
- 4Repeat for each pagination page.
Why it's painful: You'll miss hidden fields, introduce errors, and waste hours on pagination.
Method 2: One-Click with the G2 Review Extractor (Recommended)
Requirements: Chrome 88+ | Time: 30–120 seconds (hundreds of reviews)
1. Install the extension
Go to the Chrome Web Store → G2 Review Extractor and click Add to Chrome.
Chrome Web Store "Add to Chrome" button illustration
2. Visit any G2 product page
Example: Salesforce, HubSpot, Notion, etc.
3. Click the extension icon → Export
- • Choose CSV or Excel (.xlsx)
- • Optional: set a maximum number of reviews
- • Click Start Export
4. Download your file
A file like g2_reviews_<product>_<date>.csv will be saved.
Sample CSV Header
rating,date,reviewer,review_title,review_text,product,product_url,company_size,industryPro Tips
- Use filter/sort on G2 (e.g., date range) before exporting.
- For very large pages, export in batches (e.g., 1,000 at a time).
- Keep raw export + a cleaned "analysis version".
Clean & Analyze in Excel/Sheets
- • Normalize dates to ISO (YYYY-MM-DD) for pivoting.
- • Create sentiment buckets: 1–2 = Negative, 3 = Neutral, 4–5 = Positive
- • Top themes: Use =COUNTIF or a Pivot Table on keywords (e.g., "support", "price", "integration").
- • Compare competitors: Add a column product and pivot by product vs. sentiment.
Template: Quick Review Analysis Pivot (Excel)
- • Rows: product
- • Columns: sentiment_bucket
- • Values: count of review_text
- • Slicers: date, industry, company_size
Common Issues & Fixes
- • Special characters/quotes: Use CSV UTF-8 and set Excel's import to UTF-8.
- • Newlines in text: Wrap text; don't split on newlines during import.
- • Duplicate rows: Remove duplicates by review_text + date.
Ready to export your first dataset?
Try the G2 Review Extractor — $29.99, instant download, no account required.
Try G2 ExporterFAQ
Is this allowed by G2?
You must follow G2's Terms of Use. Export for your legitimate business needs and respect any applicable policies.
How many reviews can I export?
Hundreds to thousands per product page, depending on pagination and filters.
Do you include Pros/Cons and metadata?
When present on the page, the extension includes them.
CSV or Excel?
Both. Choose CSV for pipelines and Excel for pivot analysis.
Related Guides
Export Trustpilot Reviews to CSV/Excel
Step-by-step guide for extracting Trustpilot reviews with ratings, dates, and reviewer info.
How to Analyze Exported Reviews in Excel
Free template and advanced analysis techniques for review data. Coming soon.