A G2 review is a small survey: fixed questions, a score in half-point steps and the reviewer's market segment. Our G2 scraper keeps every part in its own column.
Plans from €169/month · Free project assessment · Reply within 1 business day
You send a list of products, sellers or categories and tell us which parts you need: reviews, ratings, pricing editions, alternatives, comparisons. We build the G2 crawlers, run them on your schedule and repair them whenever the site changes.
G2 challenges traffic it does not recognise, so rendering, pacing, proxy rotation and CAPTCHA handling are part of the service, not something you set up. We read G2 as an anonymous visitor and never log in. What the site keeps for signed-in members stays outside the dataset, and we show you where that line runs before the project starts. The project assessment is free, and a sample can be ordered before you decide.
The product profile is where most G2 data lives. Its address is built from a product slug - g2.com/products/slack/reviews - and that slug is the key we keep on every row. From the profile we take:
Reviewer names, job titles and photos are personal data, so they stay out of the files by default. Industry and segment remain, because they describe a company and not a person.
Around each profile G2 publishes pages that set products side by side, and these are often what a buyer of the data wants most.
Run on a schedule, the same pages give a history of review counts, ratings and category positions.
G2 is a review marketplace for business software and services, founded in 2012, based in Chicago and still searched for under its former name, G2 Crowd. People who use a product at work rate it and answer a fixed set of questions; G2 turns the answers into scores and rankings. G2 states that it does not sell placement: advertising does not move a product's organic ranking.
Everything hangs on three kinds of page. A product profile holds the reviews, pricing editions, features and alternatives of one product. A category lists every product G2 files under one type of software - the CRM category alone holds over a thousand listings. A seller page collects all profiles of one vendor.
How much an anonymous visitor sees is the practical question. A profile shows its reviews a page at a time. Reviews can be ordered by most recent, most helpful, highest or lowest rated, and the filter panel splits them by company size, user role, industry and region. We plan the crawl around those sorts and filters, read only what is shown without signing in, and report the yield per product.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →G2 reviews are written by people who use software at work, and each one says what kind of company is speaking. That makes the data useful well beyond a star average.
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ScrapeIt builds and operates crawlers for companies that need data from the web but do not want to run scraping themselves. Review platforms are familiar ground for us: long paginated threads, scores recalculated as new reviews arrive, and a boundary between what is open and what sits behind an account.
On G2 we stay on the open side of that boundary. We handle personal data under GDPR and do not sell contact lists of reviewers or dossiers on people.
Yes. The ScrapeIt G2 API returns product slug, rating, review count, star distribution, review title, date, score and the like and dislike answers as JSON from an endpoint we host, refreshed on the schedule you set. The same rows are also delivered as CSV or XLSX files, as a JSON feed or loaded into your database.
Yes. Product profiles, ratings, review texts, pricing editions, category listings and comparison pages are open to any visitor of g2.com. We collect only publicly available data - everything a visitor can see on G2 without signing in - and we collect it legally. Reviewer names, job titles and photos are left out by default.
It is a table of products with slug, seller, categories, rating, review count and star distribution, and a table of reviews joined to it by slug. Each review row carries the title, date, score, the three answers, industry, market segment and the labels G2 attaches, such as Validated Reviewer or Incentivized. Pricing editions, alternatives and comparisons come as separate tables when you need them.
As many as G2 shows to a visitor who is not signed in. On a product with tens of thousands of reviews that can be less than the full count, so we work through the sort orders and filters the page offers and report, product by product, how many reviews the open pages yielded. We never log in to reach the rest.
Popular products receive new reviews every week, and the average, the review count and the star distribution move with them. Monthly runs are enough for a category overview, while weekly runs suit competitor tracking; the most recent sort keeps each run short, because only new reviews are read. Pricing editions carry the date G2 last updated them; we compare them on each run and store what differs.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
G2 data from €169/month. Free project assessment, reply within 1 business day.
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