G2 Software Reviews, Product Info & Competitor Extractor
Collects G2 software product reviews with ratings and pros/cons, product profile summaries, or competitor listings from any G2 product page.
Open in Apify Store$0.99 / 1K on Free
Short answer
G2 Software Reviews, Product Info & Competitor Extractor is an Apify Store Actor for G2 data that returns 29 published output fields, including productName, productUrl, reviewTitle, rating. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 10 input settings; one is required (startUrls). It covers 5 of the 5 core G2 fields this site tracks. Last updated Oct 19, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
29 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
recordTypereview, product or competitorreviewIdUnique G2 review IDproductNameSoftware product nameproductSlugG2 product slugproductUrlG2 product reviews URLreviewTitleReview headlinereviewUrlDirect review URLratingStar value (0-5)starRatingStar bucket (1-5)authorNameReviewer nameauthorRoleReviewer role (User, Administrator, etc.)companySizeReviewer company size segmentpublishDateReview publish dateprosWhat the reviewer likedconsWhat the reviewer dislikeduseCaseProblems the product solvesdescriptionProduct or competitor summaryreviewCountNumber of reviewscategoryPrimary G2 categorycategoriesAll G2 categoriesimageUrlProduct image URLpricingPricing plans ({plan, price, currency})competitorNameCompetitor product namecompetitorSlugCompetitor G2 slugcompetitorUrlCompetitor G2 reviews URLsourceProductSlug of the compared productscrapedAtScrape timestamp (ISO 8601)vendorNameProduct vendor (seller) namevendorUrlVendor seller page on G2
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| startUrls | array | Yes | – | G2 product URLs (e.g. https://www.g2.com/products/notion/reviews) or bare product slugs (e.g. notion). One entry per product. |
| mode | string | No | reviews | What to collect from G2. |
| maxItems | integer | No | 50 | Upper limit of records to collect for each product. (mode=reviews uses filtering to go far beyond G2's default review feed.) |
| starRatings | array | No | [] | Keep reviews with one of the selected star ratings. Leave empty for all ratings. (mode=reviews) |
| companySizes | array | No | [] | Keep reviews from companies of the selected sizes. Leave empty for all sizes. (mode=reviews) |
| reviewerRoles | array | No | [] | Keep reviews written by reviewers with one of the selected roles. Leave empty for all roles. (mode=reviews) |
| reviewerRegions | array | No | [] | Keep reviews from reviewers in the selected regions. Leave empty for all regions. (mode=reviews) |
| sortBy | string | No | newest | Order of the collected reviews. (mode=reviews) |
| fromDate | string | No | – | Only keep reviews published on or after this date. (mode=reviews) |
| toDate | string | No | – | Only keep reviews published on or before this date. (mode=reviews) |
Example input
Built from the input form's published example values and defaults.
{
"mode": "reviews",
"startUrls": [
"https://www.g2.com/products/notion/reviews"
],
"maxItems": 3,
"starRatings": [],
"companySizes": [],
"reviewerRoles": [],
"reviewerRegions": [],
"sortBy": "newest"
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "reviews",
"startUrls": [
"https://www.g2.com/products/notion/reviews"
],
"maxItems": 3,
"starRatings": [],
"companySizes": [],
"reviewerRoles": [],
"reviewerRegions": [],
"sortBy": "newest"
}
run = client.actor("dataspryva/g2-software-reviews-product-info-and-competitor").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "reviews",
"startUrls": [
"https://www.g2.com/products/notion/reviews"
],
"maxItems": 3,
"starRatings": [],
"companySizes": [],
"reviewerRoles": [],
"reviewerRegions": [],
"sortBy": "newest"
};
const run = await client.actor("dataspryva/g2-software-reviews-product-info-and-competitor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/dataspryva~g2-software-reviews-product-info-and-competitor/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"reviews","startUrls":["https://www.g2.com/products/notion/reviews"],"maxItems":3,"starRatings":[],"companySizes":[],"reviewerRoles":[],"reviewerRegions":[],"sortBy":"newest"}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=dataspryva/g2-software-reviews-product-info-and-competitor",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among G2 routes
It ranks 1 of 1 catalogue Actors for G2 on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 G2 Software Reviews, Product Info & Competitor Extractor 29 output fields, pay per event 5 of 5 core fields
$0.99 / 1K - + 3 other Store tools, combined Reference only 5 of 5 core fields
from $1.75 / 1K - API No public reviews API No open API fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: No public reviews API
No open API. G2 does not publish a general public API for its review content.
Not applicable.
Other Store tools for G2
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| G2 Scraper | 56 | $1.75 |
| G2 Reviews Scraper | 51 | $1.75 |
| G2 Scraper · Reviews, Products, Categories & Search | – | $0.50 |
| G2 Scraper | – | $0.05 |
| G2 Software Reviews Scraper · Battlecards + Switching Data | – | $4.00 |
What people use it for
- Analyze software reviews
- Collect product profiles
- Identify competitors
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Questions people ask
How much does G2 Software Reviews, Product Info & Competitor Extractor cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does G2 Software Reviews, Product Info & Competitor Extractor return?
Its published output schema lists 29 fields: recordType, reviewId, productName, productSlug, productUrl, reviewTitle, reviewUrl, rating, starRating, authorName, authorRole, companySize, and 17 more. A listed field is not guaranteed to be filled in every row.
What input does G2 Software Reviews, Product Info & Competitor Extractor need?
Required: startUrls. Optional settings include mode, maxItems, starRatings, companySizes, reviewerRoles, reviewerRegions.
How do I run G2 Software Reviews, Product Info & Competitor Extractor from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/g2-software-reviews-product-info-and-competitor").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/g2-software-reviews-product-info-and-competitor").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~g2-software-reviews-product-info-and-competitor/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- G2 Software Reviews, Product Info & Competitor Extractor on Apify Store
- Published build with input and output schema (JSON)
- No public reviews API documentation
Cite this page
Scraper Finder. "G2 Software Reviews, Product Info & Competitor Extractor." https://scraperfinder.com/catalogue/g2-software-reviews-product-info-and-competitor/ (data checked 2026-11-12).
Run G2 Software Reviews, Product Info & Competitor Extractor
$0.99 per 1,000 results. Paste the example input above, set your G2 query, then export the dataset. Still choosing? Compare every G2 route.