G2 Scraper · Reviews, Products, Categories & Search

G2 Scraper — Reviews, Products, Categories & Search

G2 Scraper by Omkar Cloud gets you G2 data ⚡ fast, 🎯 accurate and 🔍 detailed — reviews, product profiles, pricing, category rankings, sellers and search results, all in one Actor.

📈 More than 100 reviews per product. G2 itself shows only 100 reviews for any filter. G2 Scraper splits each product's reviews by star rating, region, company size and reviewer role, and reads past that limit — thousands of reviews per product, every one unique.

$1 per 1,000 reviews. Apify's free plan gives you $5 of credit every month, so your first 5,000 reviews every month are free.

Every review comes with the reviewer's job title, company size and industry, the three answers split into their own columns, and G2's trust badges. Every product comes with its pricing plans, feature scores, pros and cons, alternatives and, if you want them, the emails, phones and social profiles from its website.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 37 reviews on Trustpilot.

👉 Try G2 Scraper free — your first 5,000 reviews are free.

What can I get

• ⭐ Reviews — rating, title, date, “like best”, “dislike” and “problems solved” answers, full text, reviewer name, job title, company size, industry, validated / current-user / incentivized badges, review source
• 📊 Review summaries — one row per product: star breakdown, G2's top pros and cons with mention counts, and how many reviews come from each company size, industry, region and role
• 📦 Product profiles — description, pricing plans, free trial, feature satisfaction scores, pros and cons with sample reviews, alternatives, comparisons, integrations, screenshots, company HQ, founding year and website
• 📇 Website contacts (optional) — emails, phone numbers, LinkedIn, X, Facebook, Instagram, YouTube, GitHub and the tech stack, found on each product's own website
• 🏆 Category rankings — every product of a G2 category in G2's order, with rating, review count, G2's AI summary of what users say, and the top pro and con
• 🔍 Search results — the products G2 returns for any keyword, ranked
• 🏢 Sellers — a vendor's profile, star breakdown, HQ, founding year, socials and every product it sells

Paste product names, slugs or any G2 link, mix categories, sellers and keywords in the same run, and get one clean table per kind of data.

Why G2 Scraper

Most G2 scrapers fail you in one of four ways:

• 🧩 Reviews only, or products only — you need two or three Actors to cover one project
• 🗄️ Old data — served from a stored copy instead of G2
• 🙈 Thin reviewer data — no job title, no company size, no split answers
• 💸 Pay more for the same review — $1.50 to $6.49 per 1,000

G2 Scraper gives you all of it in one run: reviews, products, categories, sellers and search, read from G2 at run time, at $1 per 1,000 reviews.

	G2 Scraper	Typical G2 scraper
Reviews, products, categories, sellers and search	✅ One Actor	⚠️ Usually one or two kinds
Reviewer job title, company size and industry	✅	⚠️ Often missing
“Like best”, “dislike”, “problems solved” as separate columns	✅	❌ One text blob
Pros and cons with mention counts per product	✅	⚠️ Some
Emails, phones and socials from the product's website	✅ Optional	⚠️ Rare
More than 100 reviews per product	✅ Thousands	⚠️ Varies
Only new reviews since your last run	✅	⚠️ Rare
Price per 1,000 reviews	$1	$1.50 – $6.49

Example: A G2 Review

{
  "type": "review",
  "product_name": "Notion",
  "id": 13843241,
  "link": "https://www.g2.com/products/notion/reviews/notion-review-13843241",
  "title": "A Flexible Hub for Notes, Tasks, and Staying Organized",
  "rating": 5,
  "published_date": "2026-10-22",
  "like_best": "I manage digital marketing and communications for a company with multiple brands, and with all the meetings, projects, and day-to-day requests, there’s always a lot to keep track of...",
  "dislike": "Getting organized takes some trial and error. There are so many ways to set things up that it can be hard to know where to start...",
  "problems_solved": "I use ChatGPT a lot to brainstorm, plan projects, and work through ideas. Notion gives me a place to organize what comes out of those conversations...",
  "reviewer_name": "Cam R.",
  "reviewer_job_title": "Director of Digital Marketing",
  "reviewer_company_size": "Mid-Market (51-1000 emp.)",
  "reviewer_link": "https://www.g2.com/users/c23c6cef-d83b-4dab-9c4f-8985a0741d36",
  "is_validated_reviewer": true,
  "is_verified_current_user": true,
  "is_incentivized": true,
  "badges": ["Current User", "Validated Reviewer", "Incentivized"],
  "review_source": "Seller invite"
}

Trimmed for readability. The full row also has content (every question with its answer, ready for an LLM), reviewer_industry, is_ai_translated and video_link.

Example: A Review Summary

One per product, next to its reviews:

{
  "type": "review_summary",
  "product_name": "Notion",
  "reviews_count": 13885,
  "stars_5_count": 10392,
  "stars_4_count": 3107,
  "stars_3_count": 307,
  "stars_2_count": 38,
  "stars_1_count": 41,
  "pros": [{ "name": "Ease of Use", "mentions": 4751 }, { "name": "Features", "mentions": 2739 }, { "name": "AI Features", "mentions": 2436 }],
  "cons": [{ "name": "Learning Curve", "mentions": 1895 }, { "name": "Limited Features", "mentions": 1027 }, { "name": "Learning Difficulty", "mentions": 941 }],
  "company_sizes": [{ "id": 179, "name": "Small Business (50 or fewer emp.)", "count": 8572 }, { "id": 180, "name": "Mid-Market (51-1000 emp.)", "count": 3336 }],
  "industries": [{ "id": 274, "name": "Computer Software", "count": 1551 }, { "id": 313, "name": "Information Technology and Services", "count": 1258 }]
}

Example: A Product Profile

{
  "type": "product",
  "name": "Postman",
  "rating": 4.6,
  "reviews_count": 1800,
  "category": "API Platforms",
  "seller_name": "Postman",
  "company_location": "San Francisco, CA",
  "company_founded_year": 2014,
  "likely_product_website": "https://www.postman.com",
  "emails": ["info@postman.com", "info-jp@postman.com"],
  "phones": ["+18886161665", "+14157966470"],
  "linkedin_link": "https://www.linkedin.com/company/postman-platform",
  "github_link": "https://github.com/postmanlabs",
  "has_free_trial": true,
  "starting_price": 0,
  "pricing_plans": [
    { "name": "Free Plan", "price": 0, "price_text": "Free", "description": "For individuals or a small team of 3 or less to start testing APIs." },
    { "name": "Basic Plan", "price": 14, "price_text": "$14.00", "billing": "1 per user/month, billed annually" }
  ],
  "pros": ["Ease of Use", "API Testing", "API Management"],
  "cons": ["Slow Performance", "Performance Issues", "Slow Loading"],
  "implementation_time": "2 months"
}

Trimmed for readability. The full row also has the description, every feature with its satisfaction score, pros and cons with explanations and sample reviews, alternatives, comparisons, integrations, screenshots and the seller's other products.

Example: A Category Ranking Row

{
  "type": "category_product",
  "category_name": "Best CRM Software",
  "position": 1,
  "name": "Salesforce Sales Cloud",
  "rating": 4.4,
  "reviews_count": 27575,
  "seller_name": "Salesforce",
  "users_say": "Users consistently praise the centralized customer information and powerful automation features of Salesforce Sales Cloud...",
  "top_pro": "Ease of Use",
  "top_pro_mentions": 3658,
  "top_con": "Learning Curve",
  "top_con_mentions": 1831
}

Every row is flat, so CSV and Excel exports need no clean-up.

Get Started with 5,000 Free Reviews

1. Hit Try for Free — the input is pre-filled with Slack and 20 reviews.
2. Enjoy your data 😎.

What you can paste

Input field	Example	What you get
G2 products	Slack, hubspot-marketing-hub, https://www.g2.com/products/notion/reviews	Reviews and a review summary (and the full profile with Scrape product details on)
G2 URLs or a file	Any G2 product, category, seller or search link, or a text/CSV file or Google Sheet of them	The same as the matching field below
G2 categories	crm, https://www.g2.com/categories/project-management	One row per ranked product
G2 sellers	salesforce, https://www.g2.com/sellers/hubspot	The seller's profile and one row per product it sells
Search G2 for	email marketing	One row per product G2 returns

Product names are matched to G2's top search result for the name, and the run log shows each match. Regional G2 sites (fr.g2.com, de.g2.com) work too.

Turn on Also scrape the products found in categories, sellers and searches and every listed product gets its reviews and/or full profile too.

Recipes

Complaints about a competitor — the lowest-rated recent reviews, to find what users hate:

{
  "products": ["hubspot-marketing-hub"],
  "starRatings": ["1", "2"],
  "reviewsSort": "most-recent",
  "maxReviewsPerProduct": 200
}

Weekly new-review monitor — save as a task, add a weekly schedule, and each run returns only the reviews you have not received before:

{
  "products": ["notion", "clickup", "asana"],
  "onlyNewReviews": true,
  "maxReviewsPerProduct": 500
}

Enterprise buyers only — what large companies say:

{
  "products": ["hubspot-sales-hub"],
  "companySizes": ["enterprise"],
  "regions": ["Europe"],
  "maxReviewsPerProduct": 300
}

Lead list from a category — every CRM vendor with its website, emails and phones:

{
  "categories": ["crm"],
  "maxProductsPerListing": 100,
  "expandListings": true,
  "scrapeReviews": false,
  "scrapeProductDetails": true,
  "websiteContacts": "homepage"
}

Market map — a category's ranking plus each product's review summary and 50 reviews:

{
  "categories": ["project-management"],
  "maxProductsPerListing": 20,
  "expandListings": true,
  "maxReviewsPerProduct": 50
}

Review filters

Filter	What it does
Max reviews per product	Stop after this many reviews per product. Default 100.
Sort reviews by	G2 default, most recent, most helpful, highest rated or lowest rated.
Star ratings	Only these star ratings, e.g. 1 and 2 for complaints.
Reviewer company size	Small business, mid-market, enterprise.
Reviewer region	North America, Europe, Asia, Latin America, Middle East, Africa, Australia & New Zealand.
Reviewer role	User, administrator, executive sponsor, consultant and more.
Reviewer industry IDs	G2 industry IDs — each product's summary row lists its industries with IDs and counts.
Reviews mentioning	Only reviews containing these words, e.g. customer support.
Published after	A date (2026-08-01) or a period (7 days, 3 months). Reads newest first and stops at the cutoff.
Only reviews my earlier runs did not return	For scheduled monitoring. The delivered review IDs are kept in your own Apify account.

How many reviews can I get per product?

G2 shows at most 100 reviews for any one filter. For more, G2 Scraper splits the product's reviews by star rating, region, company size and reviewer role, which never overlap, and reads each part. Where a part still holds more than 100 reviews, it is read again in G2's other sort orders.

That reaches thousands of reviews per product. For the very largest products (tens of thousands of reviews), a share of reviews stays out of reach, because G2 itself never shows them in any filtered list.

Output

Open the Output tab and pick a table:

Table	One row per
Reviews	review
Review summaries	product whose reviews you scraped
Products	product profile
Category rankings	product in a category
Search results	product found by a keyword
Sellers	seller profile
Seller products	product of a seller
All results	everything above, with a type column — one export for the whole run

Download any table as JSON, CSV, Excel, XML or HTML.

Pricing

High value, low price. No start fee — you pay only for the rows you get.

🎉 Launch price until November 7, 2026: every row costs $0.50 per 1,000 — reviews, product profiles and sellers included.

What	Price	Per row
Reviews (and each product's review summary)	$1 per 1,000	$0.001
Category, search and seller-product rows	$0.50 per 1,000	$0.0005
Product profiles	$3 per 1,000	$0.003
Seller profiles	$3 per 1,000	$0.003
Website contacts add-on	+$5 per 1,000 products crawled	$0.005

Examples:

Run	Cost
1,000 reviews of one product	$1.00
100 reviews each for 10 products	$1.01 (with 10 summary rows)
Top 100 products of a category	$0.05
Top 100 products of a category, with full profiles and contacts	$0.85

💡 Apify's free plan includes $5 of credit every month — 5,000 free reviews, every month. Set a Maximum cost per run in the run options and the Actor stops cleanly when it is reached.

👉 Scrape your first 5,000 reviews free

FAQ

How fresh is the data? G2 Scraper reads G2 at run time. Pages it fetched recently are reused for a short time to keep runs fast: most-recent review pages for at most a day, other review pages for a week, products, categories and sellers for 30 days.

How fast is it? About 250 reviews a minute — 1,000 reviews of a product in about 4 minutes. Pages G2 Scraper fetched recently come back at once.

Do I pay twice for the same review? No. A review or product found through several of your inputs in one run is returned and billed once.

What happens to an input that fails? It is listed in the run log with the reason (for example “product not found on G2”) and is not billed. The rest of the run carries on.

Can I get NPS and the 1–7 sub-ratings (ease of use, quality of support)? No. G2 shows those only to vendors through its paid API, not on its public pages. You get everything a visitor sees on G2, including the reviewer details most G2 scrapers miss.

Why is reviewer_industry empty on some reviews? G2 shows a reviewer's industry only on anonymous reviews (“Verified User in Computer Software”). Named reviewers show their job title and company size instead.

Are sponsored listings included? No. Category and search rows are G2's organic ranking.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/g2-product-scraper").call(run_input={
    "products": ["notion"],
    "reviewsSort": "most-recent",
    "maxReviewsPerProduct": 200,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    if review["type"] == "review":
        print(review["rating"], review["title"], review["reviewer_job_title"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/g2-product-scraper').call({
    categories: ['crm'],
    maxProductsPerListing: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((row) => row.type === 'category_product'));

AI agents (MCP) — let Claude, Cursor or VS Code run G2 Scraper through the Apify MCP server:

{
  "mcpServers": {
    "g2": {
      "url": "https://mcp.apify.com?tools=omkar-cloud/g2-product-scraper",
      "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" }
    }
  }
}

Changelog

• 2026-10-24 — Rebuilt from scratch. New: reviews with reviewer job title, company size and industry; review summaries; category rankings one row per product; search; sellers; product names as input; file and Google Sheet input; review filters; “published after” and “only new reviews” for monitoring; one table per kind of data. Product profiles are now read from G2 at run time, with full pricing plans. New pricing from $0.50 per 1,000 rows.

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

Love It? Star It! ⭐

If G2 Scraper saved you hours of copying reviews off G2, please rate it on Apify. It takes one second and helps the next person decide.

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👉 Scrape your first 5,000 G2 reviews free now