G2 Reviews Scraper - Export to JSON/CSV with Dates

Pricing

from $3.49 / 1,000 results

G2 Reviews Scraper - Export to JSON/CSV with Dates

Extract G2 product reviews with publish dates, ratings, pros/cons, reviewer metadata. Export to JSON/CSV/Excel. Auto-fixes URLs, supports lookbackDays. Perfect for competitive analysis and sales intelligence.

Pricing

from $3.49 / 1,000 results

Rating

0.0

(0)

Developer

Focused Vanguard

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

G2 Reviews Scraper

Scrape product reviews from G2.com (B2B software marketplace) and get clean, structured review data with real publish dates.

Why this Actor beats most “G2 scrapers”

Real review schema (no unrelated/irrelevant fields)
Publish date included: date_posted
Most recent first + optional lookbackDays to stop early and save cost
URL normalization: if the input is missing /reviews, it will be fixed automatically
Predictable limits: cap results with maxReviews (max 500) and maxPages

Don’t have a G2 URL? Use the companion actor “G2 Reviews by Company Domain” to auto-find the correct page first.

Features

Extract ratings, pros/cons, and full review text
Extract reviewer metadata (when available): job title, company size, industry
Recent-first scraping with optional early stop via lookbackDays
Automatic pagination
Structured output in Apify dataset (easy to export to JSON/CSV)

Input

Field	Type	Required	Description
`url`	string	Yes	G2 product URL (with or without `/reviews`)
`maxReviews`	integer	No	Maximum reviews (default: 100, max: 500)
`maxPages`	integer	No	Maximum pages (default: 10)
`lookbackDays`	integer	No	Stop when reviews are older than N days (saves cost)

Example Input

{
    "url": "https://www.g2.com/products/postman/reviews",
    "maxReviews": 100,
    "lookbackDays": 90
}

Output

Each dataset item is one review. Key fields:

Field	Description
`id`	Unique review ID
`content`	Full review text
`pros`	What user likes
`cons`	What user dislikes
`author`	Reviewer name
`author_title`	Job title
`author_company_size`	Company size (when available)
`author_industry`	Industry (when available)
`date_posted`	Publish date/time
`review_url`	Direct link to the review (when available)
`product_url`	Product page URL

Use Cases

Competitive Analysis: Monitor competitor product reviews
Sales Intelligence: Understand customer pain points
Market Research: Analyze software category trends
Product Development: Learn what features users want

Pricing

Recommended Apify Store pricing (Pay per result): $4.99 / 1,000 reviews.

Example costs:

100 reviews: ~$0.50
500 reviews: ~$2.50
1,000 reviews: $4.99

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