G2 Software Review Intelligence Scraper

Analyze G2 review and software-category result signals for competitor pages, buyer pain themes, and SaaS positioning research.

Why use this actor?

Use G2 result signals to identify competitor review pages, buyer pain themes, and comparison-page opportunities.

It is designed for SaaS marketers, competitive intelligence teams, sales teams, and SEO strategists. Each input becomes one compact, reviewable dataset row so buyers can scan the result quickly, export it to a spreadsheet, or send it into a CRM, research board, or automation workflow.

Unlike a generic web-search export, this actor is configured around a specific source strategy and a specific output contract. The run checks the source surface that fits this actor first, then uses a targeted fallback only when the public source limits direct access. The final dataset keeps the useful signals and leaves out raw page noise.

Best for

• Research SaaS competitors
• Find review-page opportunities
• Plan alternative pages
• Extract buyer pain themes

Input

Use softwareQueries with focused values that match this actor's purpose.

Good example inputs:

• crm software
• project management

For larger monitoring runs, add up to 20 values at a time. Keep each value short and specific. For example, use a product category, software category, creator niche, role keyword, local permit query, or video URL depending on the actor.

Output you get

The dataset is intentionally compact. It avoids raw HTML dumps and noisy scrape artifacts, and highlights the fields that matter for this actor:

• buyerPainLevel
• reviewSource
• reviewPagesFound
• buyerPainSignals
• competitorPages
• positioningAngle

The table is designed for review and export. It focuses on the buyer-facing signals, short lead/product lists, useful classifications, and a next action. Internal fetch details are not shown as normal output fields.

Practical workflow

1. Start with 2-5 focused inputs to check result quality.
2. Review the opportunity level, signal fields, and short lead/product lists in the dataset table.
3. Export useful rows to your spreadsheet, CRM, prospecting workflow, content brief, product research board, or monitoring system.
4. Schedule repeat runs for niches, categories, keywords, or lead segments that produce useful rows.
5. Use Apify Proxy if a source becomes restrictive in cloud runs.

Notes

• Uses G2 software search and product review pages.
• Keeps arrays short so exported data stays readable.
• Filters obvious ad/tracking redirects and low-value navigation links.
• Supports optional Apify Proxy for cloud runs where public sources limit traffic.