G2 Reviews Scraper - No Proxy Needed

While other G2 scrapers fight Cloudflare + DataDome and fail (average store rating: 1.4 stars), this actor uses an alternative data path that doesn't require browser rendering. No browser, no proxy, no blocking.

How to scrape G2 reviews in 3 easy steps

1. Go to G2 Reviews Scraper on Apify Store and click "Try for free"
2. Enter G2 product URLs or search by keyword — paste URLs like https://www.g2.com/products/slack/reviews or just type the product name
3. Click Run and download your results in JSON, CSV, or Excel

No coding required. No proxy setup. Works with Apify's free plan. Start extracting G2 reviews in under 60 seconds.

Key Features

• No proxy needed — direct data access, no IP restrictions to fight
• No browser needed — pure HTTP requests, runs on 256MB RAM
• 41 fields per review — including NPS, sentiment themes, switching data, regional info
• 3 modes — extract reviews, search products, or browse categories
• Batch processing — scrape multiple products in a single run
• Cursor-based pagination — handles products with 50,000+ reviews (no offset limit)
• Pay per result — only pay for data you actually get

Why This Works When Others Don't

G2.com uses Cloudflare + DataDome on their frontend, which blocks virtually all browser-based scrapers. This actor uses a different approach that doesn't require browser rendering or JavaScript execution — no anti-bot stack to fight in the first place.

G2 API Alternative — No Anti-Bot, No Blocking

Looking for a G2 API? G2 doesn't offer a public API for extracting reviews. This Actor is the best G2 API alternative in 2026 — it returns clean, structured review data without fighting Cloudflare + DataDome or browser-based scraping.

Unlike G2's official data export (limited to paying G2 customers), this Actor lets anyone extract G2 reviews at scale for competitive intelligence, market research, and product analysis.

Scrape G2 reviews with Python, JavaScript, or no code

Use this Actor directly from the Apify platform (no coding required), or call it programmatically via the Apify API from Python, JavaScript, or any language:

Python example:

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("zhorex/g2-reviews-scraper").call(run_input={
    "mode": "reviews",
    "productUrls": ["https://www.g2.com/products/slack/reviews"],
    "maxReviews": 100
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript example:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('zhorex/g2-reviews-scraper').call({
    mode: 'reviews',
    productUrls: ['https://www.g2.com/products/slack/reviews'],
    maxReviews: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price
Per review extracted	$0.005
Per product found	$0.01

Up to 50% cheaper than alternatives — and with a near-100% success rate.

Comparison

Feature	This Actor	Browser-Based Scrapers
Proxy needed	No	Yes (residential)
Browser needed	No	Yes (Playwright/Puppeteer)
RAM required	256 MB	2-4 GB
Price per review	$0.005	$0.0065-0.01
Success rate	~99%	~30-50%
Anti-bot blocked	No	Yes (Cloudflare + DataDome)
Max reviews/product	50,000	~100-500

Input Examples

Mode: Reviews (default)

Extract reviews from specific G2 products:

{
    "mode": "reviews",
    "productUrls": [
        "https://www.g2.com/products/clickup/reviews",
        "https://www.g2.com/products/slack",
        "notion"
    ],
    "maxReviews": 500,
    "minRating": 3,
    "language": "en"
}

Mode: Product Search

Search for products by keyword:

{
    "mode": "product_search",
    "searchQuery": "project management",
    "maxProducts": 50
}

Mode: Category Browse

List all products in a G2 category:

{
    "mode": "category_browse",
    "categoryUrl": "project-management",
    "maxProducts": 100
}

Output Example — Review

{
    "productSlug": "clickup",
    "productName": "ClickUp",
    "reviewId": "review-12675163",
    "reviewUrl": "https://www.g2.com/survey_responses/clickup-review-12675163",
    "rating": 5.0,
    "title": "ClickUp's All-in-One Platform Boosts Organization and Productivity",
    "reviewText": "What I like most about ClickUp is its all-in-one approach...",
    "reviewDate": "2026-04-23",
    "reviewerName": "Maria G.",
    "reviewerCountry": "Bulgaria",
    "reviewerRegion": "Europe",
    "reviewerPrimaryRegion": "EMEA",
    "reviewerSegment": "small-business",
    "npsScore": 5,
    "npsRaw": 10.0,
    "easeOfUseRating": 2.5,
    "qualityOfSupportRating": 3.0,
    "easeOfSetupRating": null,
    "meetsRequirementsRating": 3.5,
    "easeOfAdminRating": null,
    "easeOfDoingBusinessWithRating": null,
    "directionRating": 3.5,
    "sentimentThemes": null,
    "loveTheme": null,
    "hateTheme": null,
    "switchedFromOtherProduct": "no",
    "switchedFromProductIds": null,
    "switchedReason": null,
    "switchingThemes": null,
    "likelihoodToRecommend": 10.0,
    "isVerifiedUser": true,
    "isIncentivizedReview": false,
    "reviewSource": "organic",
    "sourceType": "organic",
    "companySegmentCode": 179,
    "industry": 263,
    "helpful": 0,
    "responseType": "text",
    "published": true,
    "publishedAt": "2026-04-23T08:05:01.149-05:00",
    "scrapedAt": "2026-04-23T14:37:23.301216+00:00"
}

Output Example — Product

{
    "productSlug": "clickup",
    "productName": "ClickUp",
    "productUrl": "https://www.g2.com/products/clickup",
    "productWebsite": "clickup.com",
    "averageRating": 4.66,
    "starRating": 5,
    "totalReviews": 11263,
    "category": "Project and Portfolio Management",
    "allCategories": ["Project Management", "Task Management", "Work Management"],
    "description": "ClickUp is one app to replace them all...",
    "vendorName": "ClickUp",
    "uuid": "432a896c-e0d7-467f-a8e9-148f85044553",
    "scrapedAt": "2026-04-09T15:00:00.000000+00:00"
}

FAQ

Does this need a proxy? No. The data path used by this Actor is publicly accessible without authentication or IP restrictions.

Why do other G2 scrapers fail? They scrape G2's frontend (www.g2.com) which uses Cloudflare + DataDome — one of the most aggressive anti-bot stacks. This actor avoids that frontend entirely.

Can I get reviewer email or full company name? No. The API only exposes the reviewer's display name, country, region, and company segment code (small-business, mid-market, enterprise).

What's the max reviews per product? 50,000 per run. The actor uses cursor-based pagination, which has no offset limit.

How fresh is the data? Reviews appear within hours of being published on G2. The data is live, not cached.

What if the data path stops working? If G2 changes their backend configuration, the actor will log a clear error message and a fix will be shipped quickly. No fallback to browser scraping — the direct-data approach is the entire value proposition.

How do I scrape G2 reviews in Python? Use the Apify Python client. Install it with pip install apify-client, then call this Actor with your desired input. See the Python example above.

Is scraping G2 reviews legal? This actor accesses G2's publicly available data — the same information visible to any anonymous visitor. No authentication is bypassed and no terms of service are circumvented. Always consult legal counsel for your specific use case.

How much does it cost to scrape G2 reviews? $0.005 per review ($5 per 1,000 reviews). Scrape 100 reviews for just $0.50. You can start with Apify's free plan which includes $5 of monthly usage — enough for 1,000 reviews.

Can I use this as a G2 API? Yes. This Actor functions as a G2 API alternative. Access it via the Apify API with RESTful endpoints, webhooks, and scheduled runs. Get structured JSON data from G2 without maintaining your own scraping infrastructure.

What's the difference between this and other G2 scrapers on Apify? Most G2 scrapers use browser-based scraping against G2's frontend, which is protected by Cloudflare + DataDome. They have ~30-50% success rates and cost 2-3x more. This Actor uses a different approach that avoids the anti-bot stack entirely — no browser, no proxy, 99% success rate.

Integrations & data export

Export your G2 review data in JSON, CSV, Excel, or XML. Integrate directly with:

• Google Sheets — automatic data sync
• Zapier / Make / n8n — workflow automation
• REST API — programmatic access from Python, JavaScript, or any language
• Webhooks — real-time notifications when scrapes complete

See all integrations →

Other review scrapers by Zhorex

B2B Review Intelligence:

• Capterra Reviews Scraper — Software reviews with sub-ratings and pros/cons
• Booking.com Reviews Scraper — Hotel reviews, scores, and sentiment analysis

Chinese Social Intelligence Suite:

• RedNote Xiaohongshu Scraper — China's #1 lifestyle platform (300M+ users)
• Weibo Scraper — China's Twitter (580M+ users)
• Bilibili Scraper — China's YouTube (300M+ users)

Other Tools:

• Perplexity AI Search Scraper — AI search results and brand monitoring
• Telegram Channel Scraper — Telegram messages and media
• Domain Authority Checker — Bulk SEO domain analysis

Legal Disclaimer

This actor accesses G2's publicly available data — the same information visible to any anonymous visitor on g2.com. No authentication is bypassed, no login credentials are used, and no terms of service are circumvented. This actor sends standard HTTP requests to public endpoints only.

---

Your Review Matters

Other G2 scrapers on Apify average 1.4 stars because they fight Cloudflare + DataDome and lose. This one works because it uses a completely different approach.

If this Actor delivered the reviews you needed, a 30-second review helps others find it:

1. Go to the G2 Reviews Scraper page
2. Scroll down and click the star rating
3. Optionally leave a one-line comment (e.g. "extracted 5,000 Slack reviews in 2 minutes")

Why it matters: Reviews are the #1 signal users check before trying a scraper. With a high rating, more people find this Actor instead of broken alternatives. More users = more improvements = better tool for everyone.

Found a bug instead? Open an issue and I'll fix it fast.