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G2 Reviews API

Name: G2 Reviews API
Brand: SocialCrawl
Availability: InStock

Scrape G2 Reviews data with one API call. Returns written G2 reviews for a software product, 10 per page. Filter by star rating, company segment, industry, reviewer role, region, or keyword, and sort by G2 relevance, recency, helpfulness, or rating. G2 caps each filter combination at 10 pages; use the returned cursor until has_more is false. Get the product slug from GET /v1/g2/product.

Last updated October 2026Maintained by the SocialCrawl team

Start for free View Documentation

Returns written G2 reviews for a product, 10 per page, with star rating, reviewer role, company size, and publish date.

Use it when you want the review text itself. For rating and review count only, one call to the product endpoint is cheaper than paging reviews.

Searching 68 platforms in parallel

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

TikTok·

Instagram·

YouTube·

Facebook·

X·

LinkedIn·

Reddit·

Threads·

Pinterest·

Twitch·

Truth Social·

Snapchat·

Kick·

Bluesky·

Kwai·

Rumble·

Spotify·

Apple Music·

TikTok Shop·

Amazon Shop·

Google Shopping·

Trustpilot·

TripAdvisor·

Yelp·

Linktree·

Komi·

Pillar·

lnk.bio·

Facebook Ads·

Google Ads·

LinkedIn Ads·

Google Search·

Google News·

Finance·

Polymarket·

Tavily·

Hacker News·

GitHub·

Perplexity·

Naver·

Utility·

Universal Search

G2 API

What can you do with the Reviews API?

The Reviews endpoint gives you structured G2 data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl -H "x-api-key: YOUR_API_KEY" \
  "https://www.socialcrawl.dev/v1/g2/reviews?id=postman&label=issue"

import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/g2/reviews",
    params={
    'id': 'postman',
    'label': 'issue',
    },
    headers={"x-api-key": "YOUR_API_KEY"},
)

data = response.json()

const response = await fetch(
  "https://www.socialcrawl.dev/v1/g2/reviews?id=postman&label=issue",
  {
    headers: { "x-api-key": "YOUR_API_KEY" },
  },
);

const data = await response.json();

Parameters worth sending

label=issue Names the product issue each review raises, at no extra credits; sentiment is free too.

Parameters

Parameter	Required	Description
id	No	G2 product slug or full G2 product URL. Slug example: postman. URL example: https://www.g2.com/products/postman/reviews.
url	No	G2 product slug or full G2 product URL. Slug example: postman. URL example: https://www.g2.com/products/postman/reviews.
page	No	Page number, starting at 1. Prefer the universal cursor parameter.
industry	No	Comma-separated G2 industry ids. Discover valid ids from a first unfiltered call.
keywords	No	Free-text search inside review bodies.
region	No	Comma-separated reviewer regions: North America, Europe, Asia, Latin America, Middle East, Africa, ANZ.
role	No	Comma-separated reviewer roles, for example Administrator, User, Consultant.
segment	No	Reviewer company size: small-business (50 or fewer), mid-market (51-1000), enterprise (more than 1000). (small-business \| mid-market \| enterprise)
sort	No	Review order. Default is G2 relevance. (default \| most-recent \| most-helpful \| highest-rated \| lowest-rated)
stars	No	Comma-separated star ratings, for example 4,5.
label	No	Optional CSV of SocialCrawl labels to add to every review. Without this param every page already carries sentiment and issue, free; label= adds the labels you name to them (the defaults keep running). sentiment and issue are free when asked for too; reports, incentivized and injection add 1 credit per started 25 newly judged reviews. judgments=off (or label=none) turns the default labels off. They read the review's title and text, never its stars. sentiment: how the reviewer feels, on five levels (level 0 to 4, score_0_1, confidence), plus rating_mismatch, true when the words clearly contradict the star rating (a glowing text under 1 star, a furious one under 5), null when the review has no rating. issue: the main problem the review reports (label: product_defect, sizing_or_fit, shipping_or_delivery, customer_service, price_or_value, missing_feature, other, or none, with confidence; label is null when unsure). reports (needs reports=): does this review say that the thing you describe happened (p, 0 to 1). incentivized: does the reviewer say they got the product free, discounted or rewarded for the review (p), and did the text carry a disclosure such as 'in exchange for my honest review', Vine or 체험단 (disclosed). injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. These are signals to read, never a verdict on a review or a reviewer. A review that could not be judged carries labels: null. Reviews already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed.
reports	No	Required by label=reports, ignored otherwise. What to look for, in plain words, up to 300 characters, for example reports=the battery drains quickly or reports=배송이 늦음. Every review gains labels.reports.p, the probability that it says so, in any wording or language. Without it label=reports is skipped with the warning label_reports_needs_reports and is not billed.
judgments	No	Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on \| off)
dry_run	No	Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1)
label_evidence	No	Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1)
fit	No	Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal)
goal	No	Required by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokens	No	Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it.
since	No	Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`.
until	No	Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`.

Example Response

What does the G2 Reviews API return?

Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.

Example response

{
  "success": true,
  "platform": "g2",
  "endpoint": "/v1/g2/reviews",
  "data": {
    "items": [],
    "total": 0,
    "dropped": 10,
    "_warnings": [
      "validation_gate: dropped 10 item(s) that failed canonical schema"
    ]
  },
  "credits_used": 0,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": null,
    "has_more": false,
    "page_size": 0
  },
  "credits_remaining": 9999,
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the G2 Reviews API work?

Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for G2 Reviews data?

We handle the complexity of G2 data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

One schema for every platform, so you write your integration once
When an endpoint supports a computed field and the required source inputs are available, normalized records can include fields such as engagement rate, reach, category, and language
No scraping infrastructure to build, no proxies to manage, no rate limits to fight
Current public G2 data, with the endpoint's documented cache window and 0-credit hits; send Cache-Control: no-cache for a billed refresh

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 68 platforms covering 10B+ monthly active users.

One schema, every platform

Query 68 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.

See your data before you code

Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()

[ .JSON ]

{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}

+ 68 platforms

FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

How do I get G2 reviews for a product?

Send GET /v1/g2/reviews with id set to the G2 slug (postman) or url set to the product page. SocialCrawl returns written reviews as a ReviewList, 10 per page, each with star rating, text, and reviewer context.

How many G2 reviews come back per call?

Ten per page. G2 caps each filter combination at 10 pages. Pass the returned cursor back until has_more is false. Filter by stars, segment, industry, role, region, or keyword, and sort by relevance, recency, helpfulness, or rating.

Can I filter reviews by company size or role?

Yes. segment accepts small-business, mid-market, or enterprise. role, industry, region, keywords, and stars are optional filters. Each unique filter combination has its own 10-page cap.

Does this return the product listing as well?

No. Reviews is the written-review feed. Call GET /v1/g2/product with the same id for the listing record: rating aggregates, categories, plans, and alternatives.

How much does the G2 Reviews API cost?

Each live miss costs 5 credits on the advanced tier. Cache hits cost 0. Empty review lists are refunded. New accounts get 100 free credits with no credit card required.

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Endpoints for the same job

More G2 API endpoints

Every G2 endpoint returns the same unified schema.

Product Category Categories Seller Seller Products Product Index

API reference G2 API guide

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