G2G2If you sell, buy, or build B2B software, you’ve probably bookmarked both G2 and Capterra. They cover a lot of the same products and both let you filter, sort, and read reviews for free. But once you try to actually work with that data (build a competitor comparison, prep for a buyer call, or feed feedback into a product roadmap) the two platforms stop feeling interchangeable. The reviews are structured differently, the reviewers skew differently, and what you can pull out of each page isn’t the same.
This isn’t a “which platform is better” argument. It’s a practical look at what you get when you export from each one, so you can pick the right source for the task in front of you, or use both.
Reviewer behavior shapes what the data is good for. G2 leans on structured business reviewer profiles: reviewers typically self-report a role, an industry, and importantly, the size of the company they work at. That last part matters if you’re trying to understand how a tool performs for a 10-person startup versus a 2,000-person enterprise.
Capterra takes a different route. Rather than publishing a reviewer profile beside each review, it asks reviewers to break their opinion into sub-ratings across specific categories: ease of use, customer service, value for money, features. Instead of one overall star rating with a paragraph, you get a small scorecard per review. Job titles and company sizes do appear on Capterra pages, but not attached to a given review, which is precisely why they are not in the exported file.
Neither approach is objectively richer. They’re answering different questions: G2 tells you who is buying (by size), Capterra tells you what they liked or didn’t like (by category).
This is where the practical difference shows up. When you export reviews with ExportReviews, here’s exactly what each source gives you, row by row.
G2 export fields: rating, review title, pros, cons, reviewer role, company size, industry, review date.
Capterra export fields: rating, review title, review text, pros, cons, the four sub-ratings (ease of use, features, customer service, value for money), review date.
The difference is sharper than it first looks, and it is worth being precise about. G2 attaches a profile to each reviewer: role, company size, industry, all published per review. Capterra attaches four separate scores to each review instead. Capterra does show reviewer job titles and company sizes elsewhere on its pages, but not tied to an individual review, so we do not put them in the file. A column that quietly guesses which reviewer a job title belongs to would be worse than no column at all.
So: use G2 when your question is about who is speaking, and Capterra when it is about what specifically is weak. That is what decides which export answers your question without re-reading every review by hand.
If your question is segment-shaped (“do small teams complain about this feature more than enterprise teams do?”), G2’s company size field lets you group and filter for that directly in a spreadsheet or pivot table. You can’t do that with Capterra data unless the reviewer happened to mention team size in the pros or cons text, which is inconsistent and not something you can reliably filter on.
If your question is category-shaped (“is this tool rated well on ease of use but poorly on customer support?”), Capterra’s sub-ratings let you sort or average by category without reading full review text. G2 doesn’t break ratings into categories the same way, so isolating “support quality” specifically from G2 data means scanning the pros and cons columns yourself.
Neither field is a replacement for the other. If your analysis genuinely needs both angles, exporting from both platforms and comparing side by side is a reasonable approach, not a workaround.
If you’re building a battlecard or prepping for a sales call against a competitor, pulling reviews from both platforms gives a fuller picture than either alone. G2’s company size breakdown helps you spot patterns like “this competitor gets weaker reviews from larger companies,” while Capterra’s sub-ratings help you spot specific weak points, like a consistently low ease-of-use score, that you can bring up in conversation.
If you’re the one evaluating software, exporting reviews into a spreadsheet lets you read pros and cons in bulk rather than clicking through pages one at a time. On G2 you can go further and sort by role, industry or company size to find people similar to you. On Capterra you triage differently: sort by the sub-rating you care about, and if value for money sits consistently below the rest, that’s worth a closer read before a demo call.
If you’re on the product or support side of a tool that’s reviewed on either platform, exporting your own reviews on a regular cadence turns scattered public feedback into something you can actually track over time: sort by date and see whether specific complaints (in the cons column) are trending up or down after a release. On G2 you can narrow that further by reviewer role; on Capterra, watch the sub-rating that keeps slipping.
ExportReviews is a Chrome extension that runs in the side panel while you’re on a G2 or Capterra review page you’re already logged into (or viewing publicly). Extraction happens locally in your browser, using your own session, so the review content itself never gets sent to any server. The backend only tracks anonymous counters, like credits used, never what you exported or from which company.
You get the first 25 exported rows free, no account required. After that, it’s 1 credit per row, and credits never expire and are shared across every ExportReviews exporter, so the same credits work whether you’re pulling from G2 today and Capterra next week. Exports come out as CSV, Excel (XLSX), or JSON, whichever fits your workflow.
If either platform changes its page structure in a way that breaks extraction, ExportReviews won’t quietly hand you an empty or wrong file. It shows a clear message that the platform changed, so you know to wait for an update rather than trust bad data.
For platform-specific walkthroughs, see the guides on how to export G2 reviews to CSV and how to export Capterra reviews to CSV.
Both platforms host reviews for public reading, but that doesn’t mean anything goes. Stick to publicly visible review pages, respect each platform’s terms of service, and be mindful of GDPR if you’re storing reviewer names or identifying details, especially if you plan to keep the exported file around or share it internally. Exporting for personal analysis, research, or internal reporting is generally reasonable; republishing reviewer content elsewhere is a different question you should check against each platform’s current policies.
If you need to segment feedback by company size, G2’s export gives you that field directly. If you need to isolate specific strengths or weaknesses without reading full review text, Capterra’s sub-ratings do that job better. Most serious research (competitive intel, buyer decisions, or product feedback tracking) benefits from having both, which is why ExportReviews supports exporting from either platform with the same free rows, the same credit system, and the same local, private extraction under the hood.
Exporting reviews you can already see on a public page is generally fine for personal research, competitive analysis, or reporting, as long as you respect each platform's terms of service and don't republish reviewer names or content in a way that violates their policies. When in doubt, check the platform's current ToS before large-scale use.
No. Extraction happens locally in your browser using your own logged-in session. Review content is processed and saved on your machine and is never uploaded anywhere. The backend only records anonymous counters, like how many credits were used, not what was exported.
Yes. Credits are shared across every ExportReviews exporter, so credits you buy (or the free rows you start with) work whether you're exporting G2, Capterra, or another supported source. There's no need to pay separately per platform.
If a platform change breaks extraction, ExportReviews shows an honest message telling you the platform changed, instead of silently generating an empty or incorrect file. We'd rather you know extraction failed than hand you a CSV you can't trust.
It depends on what you're comparing. G2's company size field is useful if you want to see how a product performs across different buyer segments. Capterra's sub-ratings are useful if you want to isolate specific strengths or weaknesses, like ease of use versus customer support, without reading every review in full.
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Export software reviews from any G2 product page to CSV, Excel or JSON. Rating, pros and cons, reviewer role, company size and industry, for market research.
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