G2G2G2 reviews are some of the most decision-useful text on the internet if you sell or buy software, and G2 gives you no way to export a competitor’s reviews. Your own G2 dashboard covers your own product. Everything else, the reviews that tell you where your rivals are weak and what buyers actually struggle with, is locked behind the public pages. This guide is about getting that text into a spreadsheet, and what to do with it.
Most review data tells you whether people are happy. G2 data tells you why, in the specific vocabulary of software buyers, and it comes pre-structured in a way that almost no other platform matches.
The reason is G2’s format. Instead of one blob of text, a G2 review is split into explicit parts: what the reviewer likes best, what they dislike, and often what problem the product solves for them. That split is a gift for analysis. You can read a competitor’s “dislike” column on its own and get an unfiltered list of where their product frustrates people, which is precisely the list you want when you are deciding what to build or how to position.
Layer on the reviewer context G2 attaches, role, company size, industry, and you have something better than raw sentiment: you have segmented, attributed feedback about products you do not own.
Your own reviews: G2’s platform gives verified sellers access to their own review data and integrations. If you only need your own reviews for a dashboard or a workflow, start there. It is the sanctioned route.
Everyone else’s reviews: there is no official export for a competitor’s page. The reviews are public and readable, but G2 does not hand you a download button for a product you do not own. This is the gap a browser exporter fills, by reading the public page you open in your own session.
For each review, the pieces worth capturing:
The pros/cons pair is the one to protect. A tool that flattens a G2 review into a single text field has thrown away the structure that makes G2 uniquely useful. Insist on keeping them as separate columns.
The mechanics, with a browser exporter:
ExportReviews’s G2 exporter is designed for exactly this, preserving the pros/cons split and the reviewer context as separate columns. It is launching as part of the ExportReviews portfolio; the page shows its current status.
Here is where G2 data pays off, and it is more specific than “read your competitors’ reviews”.
Mine the “dislikes” for your roadmap and your pitch. Export a rival’s reviews, read the cons column in isolation, and tag the recurring complaints. The themes that repeat are either features to build, or, if you already have them, talking points for your sales team. “Customers of X consistently complain about Y; here is how we handle Y” is a slide that writes itself from a cons column.
Segment by who is complaining. Filter the cons by company size. A complaint that clusters among enterprise reviewers but not small-business ones tells you the product breaks at scale, which is a very different competitive story than a broad usability gripe. The reviewer-context columns are what make this possible.
Track sentiment over time. Group reviews by month. A competitor whose recent reviews are turning negative on a specific theme is showing you an opening while it is still fresh, and a clean export with sortable dates is what lets you see it.
G2 reviews are public and professional, but they are still written by identifiable people, often with their role and employer attached. The responsible defaults apply and matter a little more here because of that attribution:
Competitive research from public reviews is legitimate and common. Building a file on individual named reviewers is not the same activity, and only the first is a good idea.
If you are researching software, G2 is rarely the only source worth pulling. Capterra covers overlapping but not identical ground, with its own sub-rating structure, and the two together give a fuller picture than either alone. The Capterra export guide covers that platform’s quirks, including how to compare the two without mixing up their rating structures.
Yes, because G2 reviews are public. Every G2 product page shows its reviews to any visitor, and an exporter reads the page you open the same way you would. This is the whole point for competitive research: the reviews of the products you are up against are exactly the ones you cannot get from your own G2 dashboard.
The explicit pros and cons split. G2 prompts reviewers separately for what they like best and what they dislike, so each review arrives pre-sorted into strengths and weaknesses. Keeping those as two columns lets you read a competitor's 'dislikes' on their own and go straight to where they are vulnerable.
You need whatever access a normal visitor has to see the reviews, which for public product pages is simply opening them. A browser-based exporter works within your own session and reads what is already on the page, rather than pulling data through a separate authenticated API.
Typically the reviewer's role, company size and industry, plus the review date and a validation badge. That context is what makes G2 data actionable: a complaint from an enterprise admin means something different from the same complaint by a solo user, and having role and company size in columns lets you segment accordingly.
As many as the product page paginates through. Popular software can have thousands of reviews, and an exporter walks the list in order. The practical limit is time and pacing rather than a hard cap, though a well-built tool applies a safety ceiling so a run cannot loop forever.
Ready to export G2 reviews?
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.
See the G2 exporter