G2 Reviews Scraper — Export G2 Product Reviews to JSON, CSV & Excel

Scrape every review from any G2 product page — ratings, pros & cons, reviewer job titles, company size, and dates — and export clean, structured data in minutes. No code, no manual copy-paste, no blocked requests.

• ⭐ Full review extraction — title, star rating, pros, cons, and the reviewer's role & company size
• 🛡️ Built-in anti-bot handling — clears G2's bot protection automatically so your runs actually finish
• 📄 Pagination on autopilot — walks through every page of reviews, not just the first
• 📤 Ready-to-use exports — JSON, CSV, Excel, or API, straight into your stack
• ⚡ No-code friendly — paste a product URL, click Start, get data

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📌 What This Actor Does

The G2 Reviews Scraper is an Apify Actor that collects customer reviews from G2.com — the largest software review marketplace — and turns them into structured, analyzable data.

Instead of manually reading and copying reviews one page at a time, you give the Actor a G2 product URL and it returns every review as clean rows or JSON objects, including the reviewer's job title, company size, star rating, and the full "what they liked / disliked" breakdown.

Who it's for:

• Product & UX teams researching what users love and hate about competing tools
• Marketers & sales teams mining social proof, testimonials, and competitive intel
• Founders & analysts doing market research and competitor benchmarking
• Data teams building review datasets for dashboards, BI, or AI/LLM analysis

If you need G2 review data at scale without fighting anti-bot walls, this Actor does it for you.

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✨ Key Features

• Complete review data — every review with title, rating, pros, cons, "problems solved," and recommendations
• Rich reviewer context — name, job title, and company size (Small-Business / Mid-Market / Enterprise) for real segmentation
• Product-level metadata — product name, overall rating, and total review count in every record
• Automatic pagination — collects reviews across all pages until it runs out or hits your limit
• Anti-bot protection built in — handles G2's DataDome defenses with a real browser + residential proxy, so runs don't die on 403 blocks
• Incremental scraping — use a target date to pull only reviews newer than your last run
• Flexible limits — cap the number of reviews per product to control cost and runtime
• Clean, typed output — consistent fields ready for spreadsheets, databases, or APIs

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🧠 Why This Actor Is Different

Most G2 scrapers break the moment G2's bot protection kicks in — you get a handful of reviews, then a wall of 403 errors. This Actor is engineered around that problem:

• It actually gets past the block. G2 is protected by DataDome, one of the toughest anti-bot systems. This Actor uses a hardened, fingerprint-resistant browser plus residential proxies to clear the challenge and keep scraping — where naive HTTP scrapers fail instantly.
• It gets the full story, not just page one. G2 hides most reviews behind pagination and login. The Actor paginates automatically so you get the complete review history.
• Structured, analysis-ready data. Reviewer role and company size are parsed out separately, so you can segment sentiment by audience — not just dump raw text.
• Transparent and debuggable. Runs log exactly what's happening, and the Actor rotates IPs automatically on rare blocks instead of silently returning nothing.

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⚙️ Input Configuration

Field	Type	Required	Description
startUrls	Array	✅	One or more G2 product URLs. Accepts either the product page (/products/<name>) or the reviews page (/products/<name>/reviews).
maxReviews	Integer	❌	Maximum reviews to scrape per product. 0 = no limit. Use this to control cost and runtime.
targetDate	String (ISO date)	❌	Stop when reviews get older than this date (e.g. 2025-01-01). Reviews come newest-first, so this collects only recent ones — ideal for incremental runs.
proxyConfiguration	Object	✅ (recommended)	Proxy settings. Residential proxies are strongly recommended — G2 blocks datacenter IPs.
userCredentials	String (secret)	❌	A logged-in G2 session token that unlocks reviews beyond page 1 (see FAQ). Leave empty to scrape only the first page.

Example input

{
  "startUrls": [
    { "url": "https://www.g2.com/products/hubspot-marketing-hub/reviews" }
  ],
  "maxReviews": 200,
  "targetDate": "2025-01-01",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

💡 Tips for best results

• Always enable Residential proxies (US) — this is the single biggest factor in success rate.
• Start with a small maxReviews (e.g. 50) on your first run to confirm everything works before scaling up.
• For recurring runs, set targetDate to your last run's date to grab only new reviews and save time and credits.

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📤 Output Format

Each product produces one dataset record containing the product's metadata and an array of its reviews. Export as JSON, CSV, Excel, HTML table, or via the API.

Sample output

{
  "name": "HubSpot Marketing Hub",
  "productId": 364,
  "productUuid": "1a370c2e-6499-4095-952d-dbe542694fed",
  "vendorId": 316,
  "rating": 4.4,
  "reviewCount": 14832,
  "productUrl": "https://www.g2.com/products/hubspot-marketing-hub/reviews",
  "reviews": [
    {
      "reviewId": "13060432",
      "reviewerId": "6133869",
      "reviewerName": "Conor B.",
      "reviewerTitle": "Marketing Manager",
      "reviewerCompanySize": "Mid-Market (51-1000 emp.)",
      "reviewerProfileUrl": "https://www.g2.com/users/…",
      "title": "Powerful visibility and easy-to-build automations",
      "date": "2026-07-02",
      "rating": 5,
      "videoReview": false,
      "pros": "I love the visibility we get from HubSpot…",
      "cons": "The pricing scales up quickly as you add hubs…",
      "problemsSolved": "Centralizing our marketing data and automation…",
      "recommendations": "Take the onboarding seriously — it pays off.",
      "sections": {
        "What do you like best about HubSpot Marketing Hub?": "I love the visibility…",
        "What do you dislike about HubSpot Marketing Hub?": "The pricing scales up…"
      }
    }
  ]
}

Field reference

Product level

Field	Description
name	Product name
productId / productUuid / vendorId	G2 internal identifiers
rating	Overall average star rating
reviewCount	Total number of reviews on G2
productUrl	Canonical reviews URL

Review level (inside reviews[])

Field	Description
reviewId / reviewerId	Unique IDs for the review and reviewer
reviewerName	Reviewer display name (e.g. "Conor B.")
reviewerTitle	Reviewer's job title
reviewerCompanySize	Company size segment (Small-Business / Mid-Market / Enterprise)
reviewerProfileUrl	Link to the reviewer's G2 profile
title	Review headline
date	Publication date (ISO YYYY-MM-DD)
rating	Star rating for this review (e.g. 4.5)
videoReview	Whether the review includes video
pros	What the reviewer liked best
cons	What the reviewer disliked
problemsSolved	Problems the product solves for them
recommendations	Advice to others considering the product
sections	Raw map of every question → answer, including any non-standard questions

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▶️ How to Use

1. Open the Actor in the Apify Console and click Try for free.
2. Paste a G2 product URL into startUrls — for example https://www.g2.com/products/hubspot-marketing-hub/reviews.
3. Set your limits (optional): a maxReviews cap and/or a targetDate.
4. Enable Residential proxy (recommended) under Proxy configuration.
5. Click Start. Watch the live log as it clears G2's protection and collects reviews page by page.
6. Download your data from the Dataset tab as JSON, CSV, or Excel — or pull it via the Apify API.

You can also schedule the Actor to run daily/weekly and integrate the output with Google Sheets, Slack, Zapier, Make, or your own webhook.

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📈 Use Cases

• Competitor analysis — pull reviews for competing products and compare what users praise and complain about, segmented by company size.
• Voice-of-customer research — feed thousands of pros/cons into an LLM to surface recurring themes, feature requests, and churn risks.
• Marketing & social proof — collect high-rated testimonials and quotes to power landing pages, sales decks, and ad copy.
• Product roadmap input — track which pain points show up most often and prioritize fixes with real evidence.
• Market & investment research — benchmark sentiment and review velocity across an entire software category.

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🛠️ Advanced Tips

• Proxies matter most. Residential proxies dramatically outperform datacenter IPs against G2's protection. US residential is the recommended default.
• Control cost with maxReviews. Popular products can have tens of thousands of reviews. Cap them unless you truly need the full history.
• Run incrementally. Combine targetDate with a schedule to keep a dataset fresh while only paying for new reviews.
• Batch multiple products. Add several URLs to startUrls in one run — each becomes its own dataset record.
• Give it time. Clearing anti-bot protection takes a bit longer than a naive request; keep the run timeout generous for large jobs.

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❓ FAQ / Troubleshooting

Why do I only get the first page of reviews? G2 requires a logged-in session to view reviews beyond page one. Provide a valid userCredentials session token to unlock full pagination. Without it, the Actor still returns the first page.

Where do I get the userCredentials value? Log in to G2 in your browser, open DevTools → Application → Cookies → www.g2.com, and copy the value of the user_credentials cookie. It's a long-lived token; refresh it if it expires.

A run returned no reviews / lots of blocks. What now? Make sure Residential proxies are enabled. Blocks are usually IP-related — the Actor automatically rotates IPs, but a residential proxy pool is essential for consistent success.

Is scraping G2 legal? The Actor collects publicly available review data. You are responsible for complying with G2's terms and applicable laws (including data-protection rules) in your jurisdiction. Use the data ethically and don't republish personal data unlawfully.

Which products can I scrape? Any public G2 product page. Just paste its URL — both /products/<name> and /products/<name>/reviews formats work.

What export formats are supported? JSON, CSV, Excel, HTML table, and RSS — plus programmatic access through the Apify API.

How many reviews can it collect? As many as the product has, subject to your maxReviews limit and run timeout.

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📞 Support

Questions, feature requests, or a bug to report? I'm happy to help.

• 📧 Email: me@ahmedhrid.com
• 🐛 Issues: Report problems with your run ID and input so they can be reproduced quickly.

If you're getting blocks or missing data, include your proxy settings and a sample URL — that's usually enough to diagnose it fast.

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