G2 software reviews
Returns user reviews of software products on G2, or product lists from a keyword search or a category. Reviews include full text, star rating, NPS score, ratings for areas such as ease of use and support, what users like and dislike, and switching details. Useful for B2B software research, competitor comparisons and sales battlecards.
What you get
- Full review text
- Star rating and NPS score
- Ratings for areas such as ease of use and quality of support
- Themes users like and dislike
- Whether the reviewer switched from another product, and why
- Reviewer details and review date
- Product name, link and categories
- Product review count and average rating
What it can do
- Collect reviews for one or more products by link or short name
- Sort reviews by newest, most helpful, highest or lowest rating
- Filter reviews by minimum NPS score and by publish date range
- Search G2 products by keyword
- List the top products in a category such as CRM
Limits
- Up to 516 results per run
- Product search and category modes return product details, not reviews
- Only publicly visible data
Input options
| Field | What it does |
|---|---|
| mode | product_reviews, product_search or category_browse. |
| productUrls | G2 product links or short names such as slack, for review mode. |
| maxReviews | Maximum reviews per product. |
| sortReviews | Review order: newest, helpful, rating_high or rating_low. |
| minRating | Only reviews with an NPS score at or above this value (0 to 10). |
| publishedAfter | Only reviews published on or after this date. |
| searchQuery | Keyword for product search, or category name for category browse. |
| maxProducts | Maximum products to return in search or category mode. |
Example
Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_g2_a directly through the REST API or MCP with an input like this:
{
"maxProducts": 10,
"maxReviews": 20,
"mode": "product_reviews",
"productUrls": [
"https://www.g2.com/products/slack/reviews"
],
"searchQuery": "CRM",
"sortReviews": "newest"
}
How to use it
- Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
- Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server
https://prolevelmax.com/mcpor call the REST API. - Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.
FAQ
How is this source billed?
Per result: $0.0117/result + $0.03/run, min $0.0611/run. Your AI quotes the price first, and you are never charged more than the quote.
Do I need a G2 account or API key?
No. You only need a ProLevelMax account. One balance and one connection cover all 157 platforms.
Is the data real-time?
Yes. Every call fetches public G2 data at the time of the request. Only publicly visible content is collected.
New users receive $1 in sign-up credit after verifying their email (one per person). No card required. Pay per use with no subscription. Top up by card (USD) or Alipay (CNY); Enterprise top-ups from $1,000 by bank transfer.
Start for free