G2 Scraper - Software Ratings, Reviews & Vendors
Pricing
$3.00 / 1,000 product scrapeds
G2 Scraper - Software Ratings, Reviews & Vendors
Scrape G2 software products by search term with star rating, review count, vendor, description and related categories. Build software shortlists, competitor rating benchmarks and vendor lead lists. Independent tool, not affiliated with G2.
Pricing
$3.00 / 1,000 product scrapeds
Rating
0.0
(0)
Developer
Scrape Sage
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
6 days ago
Last modified
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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by G2.com, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "G2" is referenced only to describe the publicly available website this Actor collects data from.
Scrape G2 — the largest business-software review site — by search term, and get every product back with its star rating, review count, vendor and description. No login, no cookies.
Built for software shortlists, competitor rating benchmarks, SaaS market maps and vendor lead lists.
What you get
One row per product, every row carrying the same fields:
| Field | What it is |
|---|---|
productName | Product name, from G2's own payload |
vendorName, vendorUrl, vendorId | Who makes it |
starRating | e.g. 4.1 (out of 5) |
reviewCount | e.g. 2946 |
description | G2's product blurb |
relatedCategories | Category slugs the product sits in |
productUrl, reviewsUrl | Canonical G2 links |
productId, productUuid | Stable G2 identifiers |
searchQuery, page, rank | Which search found it and where it ranked |
categoryName, categoryProductCount | The category headline, when G2 shows one |
About 20 products per search page, and pagination works.
Filters
requireRating · minRating · minReviews · maxPagesPerQuery · maxResults
Filters run inside the crawl, so a filtered-out product never costs you anything.
Example input
{"queries": ["crm", "project management"],"minRating": 4,"minReviews": 50,"maxPagesPerQuery": 3,"maxResults": 100,"proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }}
Example output
{"type": "product","productName": "Zoho CRM","vendorName": "Zoho","starRating": 4.1,"reviewCount": 2946,"description": "Zoho CRM helps you to attract, retain, delight customers and grow your company into a customer-focused organization.","relatedCategories": ["client-portal", "customer-journey-mapping", "quote-to-cash"],"productUrl": "https://www.g2.com/products/zoho-crm","reviewsUrl": "https://www.g2.com/products/zoho-crm/reviews","categoryName": "CRM","categoryProductCount": 1098,"rank": 1}
Pricing
$0.003 per product. You are charged only for rows actually delivered to your dataset. A search that matches nothing costs $0 and tells you why.
Honest limits
Please read this before buying — it defines what this actor is:
- This scrapes G2's SEARCH results, not individual review text. G2's category pages, product pages and product-review pages are all HTTP 403 for logged-out clients (verified, including via Googlebot). Search is the only surface that serves. So you get each product's aggregate rating and review count — not the individual written reviews.
- G2 blocks a share of requests. Measured 7 of 8 fresh sessions succeeded; the actor retries on a fresh proxy session, and the residential proxy is required.
categoryName/categoryProductCountappear only on category-style searches (like "crm"), because that's the only time G2 renders the headline. Every product still carriesrelatedCategories.
Automate & schedule
Run this Actor on autopilot and pull results into your own stack:
- Apify API - start runs, fetch datasets and manage schedules over REST.
- apify-client for JavaScript and apify-client for Python - official SDKs.
- Schedules - run it hourly, daily or weekly and keep your dataset current.
- Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });const run = await client.actor('scrapesage/g2-scraper').call({"queries": ["crm"],"maxPagesPerQuery": 2,"maxResults": 40,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} records`);
Integrate with any app
Connect the dataset to thousands of apps - no code required:
- Make - multi-step automation scenarios.
- Zapier - push new records straight into your CRM or spreadsheet.
- Slack - get notified when a scheduled run finds something new.
- Google Drive / Sheets - auto-export every run to a spreadsheet.
- Airbyte - pipe results into your data warehouse.
- GitHub - trigger runs from commits or releases.
Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the Apify MCP server - describe the data you need and let the assistant run this Actor for you.
Agent-ready: autonomous payments (x402 & Skyfire)
This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:
- x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
- Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.
Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.
FAQ
How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.
Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.
Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.
Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.
Is it legal to scrape G2? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See the Disclaimer below.
Is this an official G2 tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from G2.com, Inc. See the Disclaimer below.
Tips
minReviewsis the most useful filter — it strips the long tail of products with 2 reviews and leaves the real market.- Run the same queries on a schedule and dedupe on
productSlugto track rating and review-count drift over time; that's a genuine competitive-intelligence signal. rankplussearchQuerylets you monitor where you sit in G2's own search ordering.
Related actors
- Capterra Scraper — the same job on Capterra: software reviews, ratings and leads
Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by G2.com, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.
"G2" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official G2 product, is not authorised or certified by G2.com, Inc., and does not distribute G2 software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.
Need help?
Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.