⭐ G2 Reviews Scraper — SaaS Reviews, Buyer Intent & Category Sentiment

Pay-per-result G2.com category sweeper — pulls every review across an entire G2 category (CRM, project management, helpdesk, ABM, etc.), with full review text, ratings, reviewer firmographics, recommended-for-business flags, sentiment scoring, and G2 badge history. Built for B2B SaaS competitive intel and category positioning as a no-seat-license alternative to G2's enterprise data feed (custom contract), Gartner Peer Insights API (enterprise), Forrester Wave reports ($1500+/each), and SaaS-research SaaS like Klue ($30K+/yr) and Kompyte ($25-99/user/mo).

Why G2 Reviews Scraper Beats G2's Enterprise Feed, Klue & Kompyte

Feature	NexGenData G2 Reviews Scraper	G2 enterprise data feed	Klue	Kompyte
Cost	$0.005 / review, pay-per-result	Enterprise contract ($$$$)	$30K+ / year	$25-99 / user / month
Category-wide sweep	Yes — full category	Yes	Limited to tracked competitors	Limited to tracked competitors
Reviewer firmographics	Yes	Yes	Yes (manual)	Yes (manual)
Sentiment + topic clustering	Built-in	Custom	Built-in	Built-in
Comparison-page data	Yes	Yes	Manual	Limited
Badge / award history	Yes	Yes	No	No
Free trial	Free Apify credits	Sales demo only	Sales demo only	14-day trial

B2B product marketers, win/loss analysts, and SaaS investors pick this actor instead of Klue's $30K+/year subscription when they just need raw G2 category data to feed their own battle-card pipeline. It is a drop-in alternative to the G2 enterprise feed for one-off positioning audits, not annual contract commitments.

What You Get Per Review

Each dataset item is a flat JSON record:

• review_id, review_url, product_slug, product_name, category_slug
• rating (1-5), title, body_pros, body_cons, body_full, use_case
• recommended_for_business (boolean), verified_purchase (boolean)
• reviewer_name, reviewer_role, reviewer_seniority, reviewer_industry
• company_size, company_country, company_name (when disclosed)
• submitted_at, last_updated_at
• time_using_product, frequency_of_use, purchase_decision_role
• helpful_count, comments_count
• sentiment_score, topics_detected, mentions_competitors — array
• product_g2_score, product_satisfaction_score, product_market_presence_score
• g2_badges_current — Leader, High Performer, Momentum Leader, Implementation Index
• g2_badges_history — quarterly badge timeline

Use Cases

• B2B SaaS product marketing — quantify your category's sentiment baseline before crafting positioning
• Win/loss analysts — pull every "vs us" mention across a category to feed battle cards
• Investor diligence — score a target company against its full G2 category competitive set
• Sales engineering — build category-specific objection-handling content from real buyer-language
• Category research — discover the emergent features buyers are asking for across an entire space
• PR / Brand teams — track quarter-over-quarter share of voice on G2
• Pricing analysts — correlate G2 sentiment with pricing-page changes

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/g2-reviews-scraper").call(run_input={
    "categorySlug": "crm-software",
    "since": "2025-01-01",
    "topNProducts": 25,
    "maxReviewsPerProduct": 200
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["product_name"], item["rating"], item["submitted_at"])

Pricing

Pay-per-event — no Klue / G2 annual contract required.

• Actor Start: $0.0001
• Per review: $0.005
• Per product summary: $0.01

A full CRM category sweep (25 products × 200 reviews = 5000 reviews) costs $25. Klue's entry tier starts at $30K/year.

Related NexGenData Actors

Use case	Actor
Per-product deep-dive G2 path	G2 Review Scraper
SaaS pricing-page change tracker	SaaS Pricing Tracker
Shopify store teardown	Shopify Store Analyzer
Apple App Store reviews	Apple App Store Scraper
Company tech-stack detector	Company Tech Stack Detector
Hiring-signal detector	Hiring Signal Detector
B2B leads finder	B2B Leads Finder
Company enrichment tool	Company Enrichment Tool

FAQ

Q: When should I use this vs g2-review-scraper? Use g2-reviews-scraper (this one) for category sweeps when you want every product in a category. Use g2-review-scraper for per-product deep dives.

Q: How are categories defined? We use G2's official category-slug (e.g., crm-software, project-management, helpdesk-software). Pass any slug from G2's category browse.

Q: How fresh is review data? Live per run. Reviews are included as soon as G2 publishes them.

Q: Schema stability? Versioned per actor release. We monitor G2 layout changes and ship parser updates within 24h.

Q: Can I correlate reviews with pricing changes? Yes — pair this with SaaS Pricing Tracker and join on product_slug for full pricing × sentiment analysis.

Q: Does this include G2 badges and awards? Yes — current badge state plus the last 8 quarters of badge history per product.

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and more. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

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How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata