Scrape G2 with AI

# Scrape G2 — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Extract G2 software reviews, ratings, feature comparisons, and pricing data using Apify and Claude Code.
**Apify Actor:** `maxcopell/g2-scraper`
**Pricing:** ~$0.35 per 1,000 reviews
## Capabilities
1. **Product Profile Data** — Extract G2 rating, review count, category ranking, company size, and pricing tier information.
2. **Review Detail Extraction** — Pull 'What do you like?' and 'What do you dislike?' sections with star ratings and reviewer details.
3. **Feature Ratings** — Capture G2's feature satisfaction scores — ease of use, support quality, setup ease, etc.
4. **Category Grid Data** — Extract G2 Grid positioning (Leader, High Performer, Contender, Niche) for competitive mapping.
5. **Reviewer Segmentation** — Filter reviews by company size, industry, and role for targeted competitive analysis.
## Pipeline
1. **Define targets** — Specify G2 product URLs, categories, or competitor names
2. **Scrape reviews** — Extract product profiles, reviews, ratings, feature scores, and comparison data
3. **Analyze patterns** — Categorize feedback by feature, score sentiment, identify competitive gaps
4. **Load into CRM** — Push competitive intelligence into Neon database for sales enablement
## Use Cases
- **Competitive battlecard creation:** Extract 'What do you dislike?' from competitor G2 reviews. Turn the top complaints into sales objection scripts and one-page battlecards.
- **Comparison page content:** Use G2 feature scores and review sentiment to create data-backed comparison pages (e.g., 'Us vs HubSpot') for your website.
- **Product roadmap prioritization:** Analyze feature satisfaction scores across your category. Find features where all competitors score low — these are market gaps you can win.
- **Sales intelligence:** Find reviewers who gave competitors 1-2 stars. Their 'dislike' responses tell you exactly what pain points to address in cold outreach.
## Warnings
- G2 uses aggressive anti-scraping (Cloudflare, CAPTCHAs). Scraping success rates may be lower than other review platforms. Use Apify's residential proxies.
- G2 reviews are heavily moderated — they're generally high-quality and verified, which makes them more valuable for analysis.
- Feature score availability varies by product. Some products don't have enough reviews for G2 to calculate feature satisfaction scores.
## Sample Output
```json
{
  "productName": "HubSpot CRM",
  "productUrl": "https://www.g2.com/products/hubspot-crm/reviews",
  "overallRating": 4.4,
  "totalReviews": 11234,
  "categoryRank": 2,
  "gridPosition": "Leader",
  "review": {
    "title": "Great for starting, painful to scale",
    "overallRating": 3,
    "whatDoYouLike": "The free tier is genuinely useful. Contact management and deal pipelines work well out of the box. The UI is clean and intuitive for basic CRM tasks.",
    "whatDoYouDislike": "Pricing jumps are brutal. We went from $0 to $800/mo when we needed basic automation. Workflows are overly complex for simple tasks. Reporting requires Enterprise.",
    "reviewerRole": "Head of Sales",
    "reviewerCompanySize": "11-50 employees",
    "reviewerIndustry": "SaaS",
    "date": "2026-03-08",
    "verified": true
  },
  "featureScores": {
    "easeOfUse": 8.5,
    "qualityOfSupport": 7.8,
    "easeOfSetup": 8.2,
    "easeOfAdmin": 7.6
  }
}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.