Pricing

Rating

Developer

Actor stats

Categories

Share

G2 Software Reviews Scraper

Scrape software reviews from G2.com — the leading B2B software review platform. Extract structured review data including ratings, pros/cons, reviewer role, and company size.

What you get

Use cases

• Competitive intelligence — monitor competitor reviews; track sentiment changes over time
• CRM enrichment — identify leads by role/company size from verified buyer reviews
• Product research — extract structured pros/cons for feature analysis
• Market research — aggregate review sentiment across software categories
• Sales enablement — understand objections (cons) at scale

Proxy requirement

⚠️ Residential proxy required. G2 blocks datacenter IPs with HTTP 403. Configure Apify Residential proxy in the input. Without a proxy, all runs will fail.

This is the same requirement as other review platforms (Trustpilot, Booking.com). The buyer pays proxy costs as part of their Apify actor usage budget.

Input

{
"productSlugs":["notion","hubspot-marketing-hub"],
"maxReviews":100,
"sort":"most_helpful",
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Finding the product slug

The slug is the last part of any G2 product URL:

• https://www.g2.com/products/notion/reviews → slug is notion
• https://www.g2.com/products/hubspot-marketing-hub/reviews → slug is hubspot-marketing-hub
• https://www.g2.com/products/salesforce/reviews → slug is salesforce

Sort options

Output example

{
"product_name":"Notion",
"product_slug":"notion",
"product_url":"https://www.g2.com/products/notion/reviews",
"review_id":"abc-review-123",
"rating":5,
"title":"Best collaboration tool we have used",
"text":"We switched from Confluence and never looked back...",
"reviewer_name":"Sarah M.",
"reviewer_role":"Product Manager",
"company_size":"51-100",
"pros":"Extremely flexible, great templates, excellent for documentation",
"cons":"Can be slow with large databases, search could be better",
"review_date":"2024-03-15T10:00:00.000Z",
"url":"https://www.g2.com/reviews/abc-review-123",
"parse_confidence":1.0,
"warnings":[]
}

Parse confidence

Every record includes parse_confidence (0.0–1.0). This is our reliability edge:

• 1.0 — all core fields extracted successfully
• 0.7–0.99 — some optional fields missing (normal)
• < 0.5 — structural issue (G2 schema change) — check warnings

Use parse_confidence < 0.8 as a filter for high-quality data, or to detect if G2 changed their page structure.

Pricing

Pay-per-result (PPE): $2.00 per 1,000 reviews.

G2 shows 20 reviews per page, so a 100-review run = 5 page fetches.

Technical notes

• Parser approach: Extracts __NEXT_DATA__ JSON embedded in G2's Next.js HTML — not fragile CSS class scraping
• Pagination: Uses G2's /_next/data/ JSON API for pages 2+ (no HTML parsing overhead)
• Rate limiting: 3-second delay between pages; automatic retry on transient blocks
• Schema stability: JSON key paths are more stable than CSS class names across G2 UI updates

Limitations

1. Residential proxy required — datacenter IPs are blocked
2. 20 reviews per page — 10,000 reviews = 500 proxy requests
3. Not affiliated with G2 — this actor scrapes public review data from G2.com

Integrations

Built for B2B marketers and product teams mining competitor reviews, ratings, and buyer-persona signals on G2 — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

Disclaimer

This actor scrapes publicly available data from G2.com. Use in compliance with G2's Terms of Service and applicable data protection laws.