G2 Scraper: Export SaaS Reviews to CSV in 2026
If you are researching why buyers choose or leave a software category, a G2 scraper helps product, marketing, and competitive-intelligence teams turn G2 review pages into structured data. Review text, star ratings, reviewer role, company size, review date, product name, and review URL become a dataset for positioning, roadmap, and sales enablement.
A clean G2 review scraping workflow helps teams compare customer complaints, feature requests, buyer roles, implementation notes, and competitor positioning across review pages. Because G2 pages are visual and context-rich, reviewing the fields in Chrome before export keeps the dataset easier to trust.
Turn G2 reviews into buyer-research data
Open a G2 review or comparison page, export ratings, review text, roles, company sizes, and URLs, then use the table for messaging, roadmap research, and competitive enablement.
Add to Chrome - Free ->What Is a G2 Scraper?
A G2 scraper is a tool for turning software review pages into buyer-research datasets. Product marketers, founders, sales teams, and competitive-intelligence teams use it to analyze customer pain, feature gaps, switching reasons, buyer roles, company-size patterns, and competitor positioning.
G2 is useful because software buyers leave detailed implementation notes, role context, company-size context, pros, cons, and comparison signals. That lets your team answer questions like "Which integrations block deals?", "What do admins complain about?", or "Which competitor promise fails after onboarding?" For adjacent review sources, use the Trustpilot scraper guide, the Capterra Reviews Scraper, and the Yelp review workflow.
- Product name and G2 URL
- Star rating and review title
- Review body, pros, and cons
- Reviewer role and company size when visible
- Review date and verification badge
- Alternative or comparison page source
How Do You Scrape G2 Reviews Without Code?
To scrape G2 reviews without code, open a G2 product review page in Chrome, apply filters such as rating, role, company size, or date, run Clura, select the repeated review cards, confirm pagination, and export to CSV. The workflow usually takes about 2-5 minutes after filters are set.
- Open the G2 product page. Go to the Reviews tab for the software product you want to analyze.
- Apply review filters. Narrow by rating, role, company size, industry, or date if needed.
- Run Clura. Select the repeated review-card structure.
- Review fields. Keep rating, title, body, pros, cons, reviewer role, company size, date, and URL.
- Confirm pagination. Collect additional review pages into the same table.
- Export CSV. Use the dataset for competitor analysis, messaging, or product research.
Use Clura's G2 review templates
Start with the G2 Software Reviews Scraper for product reviews or the G2 Competitor Reviews Scraper for alternatives and comparison pages.
Add to Chrome - Free ->What Is the Best G2 Scraper Method?
A Chrome extension is usually the best G2 scraper method for product and competitor review research because setup takes about 2 minutes and the browser preserves filters, rendering, and page state. Playwright is better for scheduled monitoring, while cloud actors are better for managed recurring jobs.
| Method | Block / Failure Rate | Setup Time | Typical Cost | Best For |
|---|---|---|---|---|
| Clura Chrome extension | ~4-6% | 2-5 min | Free / $29.99 lifetime | Filtered G2 review exports |
| Playwright + selectors | ~12-22% | 4-8 hours | $0-100/mo infra | Scheduled G2 monitoring |
| Apify-style actors | ~18-28% | 30-60 min | $49/mo+ | Managed cloud review scraping |
| Python requests | ~80-95% failure | 30 min (fails) | Free | Learning only |
G2 pages are easiest to scrape after Chrome renders the review list. A raw Python scraper can miss fields or pagination state, especially on pages with filters. The same browser-first principle appears in the dynamic websites guide and the AI web scraper Chrome extension guide.
If the goal is sales or account research, combine G2 review exports with Crunchbase company signals, Apollo contact exports, and the lead scraper workflow.
What Can You Use G2 Scraped Data For?
G2 scraped data is useful for competitor messaging, product gap analysis, churn-risk research, buyer-persona research, review velocity monitoring, and sales enablement. The point is to turn scattered buyer comments into repeatable evidence for positioning, roadmap, and sales conversations.
Competitor positioning
Scrape competitor reviews and group complaints by onboarding, integrations, support, pricing, reliability, or UI. Product marketers can turn repeated complaints into landing-page copy, battlecard proof points, and objection-handling language. The competitor analysis tools guide explains how to turn those complaints into positioning.
Sales enablement and buyer-persona research
Sales teams can filter reviews by role and company size to understand what admins, founders, operators, and enterprise buyers care about. That makes the dataset useful for discovery questions, segment-specific proof, and sharper follow-up after demos.
Product roadmap research
Reviewer role and company-size context make G2 unusually useful for roadmap work. A complaint from a 1,000-person enterprise admin should be weighted differently from a complaint by a solo founder on a free plan.
Frequently Asked Questions
Can G2 reviews be scraped?
Yes. Public G2 review data that is visible in your browser can be scraped into CSV, including review text, star rating, review date, reviewer role, company size, product name, and review URL. Avoid private data and do not bypass access controls.
What is the best G2 scraper?
For review research, the best G2 scraper is a browser-native Chrome extension because it reads the rendered review cards and preserves filters. Clura is free to start and includes G2 Software Reviews and G2 Competitor Reviews templates.
Does G2 have a scraping API?
G2 does not provide a public scraping API for arbitrary review exports. If you need ad hoc research from visible pages, a browser workflow is usually faster than trying to build around API access.
Can I scrape G2 with Python?
You can scrape G2 with Python, but Playwright is usually required because filters, pagination, and review cards are rendered in the browser. Raw requests and BeautifulSoup are brittle for G2 review pages.
Is scraping G2 legal?
Scraping publicly visible G2 review data may be permissible in many jurisdictions, but G2's terms can restrict automated access. Use responsible volume, avoid private data, and seek legal advice for large commercial projects.
Can Clura scrape G2 competitor comparison pages?
Yes. Clura has a G2 Competitor Reviews Scraper template for alternatives and comparison pages, and a G2 Software Reviews Scraper template for product review pages.
Conclusion
G2 scraping is valuable because review text carries buyer language. Ratings tell you direction, but reviewer role, company size, pros, cons, and recurring complaint themes tell you why buyers switch.
Use Clura for fast review exports from the G2 page you are already researching. Use a scheduled scraper only when you need recurring review velocity and competitor-monitoring history.
Explore related guides:
- G2 Software Reviews Scraper — Export review text, ratings, roles, dates, and company context.
- G2 Competitor Reviews Scraper — Collect comparison and alternatives-page review signals.
- Trustpilot Scraper Guide — Export review data from Trustpilot company pages.
- Capterra Reviews Scraper — Scrape software reviews from another B2B review source.
- Lead Scraper Guide — Use review sources as account and pain-point inputs.
- Competitive Intelligence Best Practices — Turn review data into positioning and roadmap insight.
Export G2 reviews without code
Install Clura, open a G2 review page, select the review fields, and export ratings, text, roles, company sizes, dates, and URLs to CSV.
Add to Chrome - Free ->