G2 Scraper — Software Reviews, Pricing & Buyer Intent

G2 Scraper — Software Reviews, Pricing & Buyer Intent

G2 Scraper extracts structured G2 records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out TrustRadius Scraper, Trustpilot Scraper, Product Hunt Scraper, Apple App Store Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does G2 Scraper do?

Scrape G2 software reviews, pricing tiers, star ratings, pros & cons, feature comparisons, and competitor alternatives. High-value B2B SaaS intelligence.

Whether you need to monitor G2 at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, G2 Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect G2 listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official G2 API

• No API Keys or Approval Delays: Start extracting public G2 data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on G2.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from G2?

G2 Scraper extracts the following data points from G2:

📝 Products (products)	👀 Extract Reviews (extractReviews)	👀 Max Reviews Per Product (maxReviewsPerProduct)
📝 Product Name (productName)	📝 Slug (slug)	📝 Website (website)
⭐ Rating (rating)	👀 Review Count (reviewCount)	📝 Summary (summary)
👤 Vendor (vendor)	📅 Company Location (companyLocation)	📅 Company Founded Year (companyFoundedYear)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	productName (Product Name), slug (Slug)
Metrics, Pricing & Engagement	extractReviews (Extract Reviews), maxReviewsPerProduct (Max Reviews Per Product), reviewCount (Review Count), reviews (Reviews)
Details, Attributes & Context	products (Products), website (Website), summary (Summary), vendor (Vendor), companyFoundedYear (Company Founded Year), websiteContacts (Website Contacts)
Direct Links, Media & Timestamps	rating (Rating), companyLocation (Company Location), categories (Categories), detailedFeatures (Detailed Features), alternatives (Alternatives), g2Url (G2 URL)

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Why scrape G2? (Typical Use Cases & Guides)

You can use G2 Scraper for a wide range of data and business workflows:

• Competitive & Market Intelligence: Track real-time listings, rankings, pricing shifts, and activity across G2 without manual copy-pasting.
• B2B Lead Generation & CRM Enrichment: Extract structured G2 records to enrich pipelines in HubSpot, Salesforce, Clay, Pipedrive, or Airtable.
• Trend Detection & Sentiment Monitoring: Analyze volume velocity, user ratings, and community feedback on G2 to spot market opportunities early.
• AI Agents, RAG & LLM Knowledge Pipelines: Feed normalized, zero-null G2 datasets directly into vector databases, autonomous AI agents, and LLM workflows.
• Automated Reporting & Scheduled Monitoring: Connect G2 Scraper to Make.com, n8n, Zapier, or Google Sheets for hands-free daily data refreshes.
• Market Research & Competitor Analysis: Benchmark G2 offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live G2 data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape G2 data

G2 Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open G2 Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape G2 by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on G2. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct G2 links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping G2, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
products	array	["Postman","Notion","Slack"]	Names of software products to look up on G2 (e.g. ['Postman', 'Slack', 'Notion', 'HubSpot']).
productUrls	array	[]	Direct G2 product review links (e.g. ['https://www.g2.com/products/postman/reviews']).
extractReviews	boolean	true	Extract individual verified customer reviews with titles, ratings, pros, and cons.
maxReviewsPerProduct	integer	10	Maximum number of user reviews to extract per product.
proxyConfiguration	object	{"useApifyProxy":true}	Apify Proxy or custom residential proxies.

Example 1: Standard Extraction (1-Click Default)

{
  "products": [
    "Postman",
    "Notion",
    "Slack"
  ],
  "extractReviews": true,
  "maxReviewsPerProduct": 10
}

Example 2: Filtered & Batch Extraction

{
  "products": [
    "Postman",
    "Notion",
    "Slack"
  ],
  "productUrls": [
    "https://www.g2.com/products/postman/reviews"
  ],
  "extractReviews": true,
  "maxReviewsPerProduct": 20
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Products	Extract Reviews	Max Reviews Per Product
Postman	true	10
Postman	true	13
Postman	true	8

JSON Output Example

{
  "products": [
    "Postman",
    "Notion",
    "Slack"
  ],
  "extractReviews": true,
  "maxReviewsPerProduct": 10
}

Output Fields Reference

Field Name	Type	Description
products	array	Extracted products value.
extractReviews	boolean	Extracted extract reviews value.
maxReviewsPerProduct	number	Extracted max reviews per product value.
productName	string	Extracted product name value.
slug	string	Extracted slug value.
website	string	Extracted website value.
rating	number	Extracted rating value.
reviewCount	number	Extracted review count value.
summary	string	Extracted summary value.
vendor	string	Extracted vendor value.
companyLocation	string	Extracted company location value.
companyFoundedYear	number	Extracted company founded year value.
websiteContacts	object	Extracted website contacts value.
categories	array	Extracted categories value.
pricingPlans	array	Extracted pricing plans value.
detailedFeatures	array	Extracted detailed features value.
topPros	array	Extracted top pros value.
topCons	array	Extracted top cons value.
alternatives	array	Extracted alternatives value.
reviews	array	Extracted reviews value.
g2Url	string	Extracted g2 url value.
scrapedAt	string	Extracted scraped at value.

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🔗 Scrape any data you need with dedicated scrapers

Combine G2 Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 TrustRadius Scraper	🔹 Trustpilot Scraper	🔹 Product Hunt Scraper
🔹 Apple App Store Scraper	🔹 Google Play Scraper	🔹 Reddit Scraper

Scraper	Extracted Data & Primary Use Case
TrustRadius Scraper	B2B Software Reviews
Trustpilot Scraper	Reviews & Ratings
Product Hunt Scraper	Launches, Upvotes & Makers
Apple App Store Scraper	iOS Apps & Reviews
Google Play Scraper	Apps, Installs & Reviews
Reddit Scraper	Posts, Comments & Subreddits

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⚠️ Error Items & Resilience Reference

G2 Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping G2 cost?

G2 Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0005 per Scraped G2 Scraper - Software Reviews, Pricing & Buyer Intent Record ($0.5 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~10,000 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate G2 Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. G2 Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use G2 Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run G2 Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/g2-scraper").call(run_input={
    "products": ["Postman","Notion","Slack"],
    "extractReviews": True,
    "maxReviewsPerProduct": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/g2-scraper').call({
    products: ["Postman","Notion","Slack"],
    extractReviews: true,
    maxReviewsPerProduct: 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use G2 Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use G2 Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger G2 Scraper with your input parameters.
3. Receive structured G2 dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape G2?

No. G2 Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from G2?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for G2 Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.