# G2 Reviews Monitor - Latest Reviews & Alerts (`amazing_wizdom/g2-reviews-monitor`) Actor
Monitor the latest G2 product reviews through public RSS feeds. RSS-only, no browser or proxy, honest partial results, and no charge for failed, blocked, or empty products.
- **URL**: https://apify.com/amazing\_wizdom/g2-reviews-monitor.md
- **Developed by:** [Constantine](https://apify.com/amazing_wizdom) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
$10.00 / 1,000 product checkeds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## G2 Reviews Monitor - Latest Reviews & Alerts
Monitor the latest G2 reviews for one or more products through G2's public RSS feed.
This actor is intentionally narrow:
- RSS only: no browser, no proxy, no HTML scraping.
- Latest only: G2 RSS currently exposes about 25 latest reviews per product.
- Honest partial results: one blocked or missing product does not fail the whole run.
- PPE-safe: failed, blocked, invalid, and empty products are free.
### What it is for
- Monitor your own G2 product reviews.
- Track competitor review changes.
- Feed recent reviews into LLM/RAG pipelines.
- Send incremental review records to webhooks, Sheets, or downstream actors.
### What it is not
This is not a full-history G2 scraper. The verified access path is:
```text
https://www.g2.com/products/{slug}/reviews.rss
````
The feed has no pagination. `?page=2` returns no useful history. The HTML `/reviews` page is WAF-blocked and this actor never fetches it.
### Input
```json
{
"products": ["slack", "https://www.g2.com/products/zoom/reviews"],
"mode": "latest",
"knownReviewIds": [],
"maxReviewsPerProduct": 25
}
```
#### Fields
- `products` - G2 product slugs or full G2 product/reviews URLs. Required. Default: `["slack"]`.
- `mode` - `latest` emits all current RSS reviews; `new-since-last` emits only IDs not in `knownReviewIds`.
- `knownReviewIds` - Review IDs you already processed.
- `maxReviewsPerProduct` - 1 to 25. G2 RSS currently exposes only about 25 latest reviews.
### Output
The default dataset contains one record per review:
```json
{
"type": "review",
"productSlug": "slack",
"reviewId": "slack-review-123",
"title": "Great team chat",
"body": "Fast collaboration and search.",
"bodyHtml": "Review from Ada L.
Fast collaboration...
",
"reviewerName": "Ada L.",
"rating": null,
"date": "2026-07-07T10:00:00.000Z",
"sourceUrl": "https://www.g2.com/products/slack/reviews/slack-review-123"
}
```
It also pushes one `run_summary` record:
```json
{
"type": "run_summary",
"productsRequested": 2,
"productsOk": 1,
"productsFailed": 1,
"reviewsEmitted": 25,
"perProduct": [
{ "slug": "slack", "status": "OK", "reviews": 25 },
{ "slug": "bad-slug", "status": "FAILED", "reviews": 0, "code": "PRODUCT_NOT_FOUND" }
],
"durationMs": 1400
}
```
### Error codes
| Code | Meaning |
| --- | --- |
| `INVALID_PRODUCT` | The input could not be normalized to a G2 product slug. |
| `PRODUCT_NOT_FOUND` | G2 returned 404 after redirects. |
| `BLOCKED` | G2 returned 403 or Cloudflare/WAF markers. |
| `RATE_LIMITED` | G2 returned 429. |
| `RSS_PARSE_FAILED` | The RSS body was empty or malformed. |
| `FETCH_FAILED` | Network or unexpected HTTP failure. |
Per-product errors are recorded in `run_summary`. Only a totally invalid input exits non-zero.
### Pricing
Draft PPE event: `product-checked` at `$0.01`.
Charged once per product that was successfully fetched and returned at least one emitted review. Failed, blocked, invalid, and empty products are free. Verify Apify Console's average usage cost banner before publishing.
### FAQ
#### Can this fetch all historical G2 reviews?
No. G2 RSS exposes only the latest reviews and has no pagination. This actor is a monitoring/latest-reviews tool.
#### Does it use a browser or proxy?
No. If RSS becomes blocked from Apify cloud IPs, the actor reports `BLOCKED`. That is an explicit kill signal for this low-maintenance approach.
#### Why is `rating` often null?
The observed RSS feed may not include star rating. The actor keeps `rating` nullable and only fills it when a rating-like field exists in the feed.
#### How do I run incremental monitoring?
Store the emitted `reviewId` values from the previous run and pass them as `knownReviewIds` with `mode` set to `new-since-last`.
# Actor input Schema
## `products` (type: `array`):
G2 product slugs or full G2 product/reviews URLs. Example: slack or https://www.g2.com/products/slack/reviews.
## `mode` (type: `string`):
latest returns all current RSS reviews. new-since-last returns only reviews whose IDs are not in knownReviewIds.
## `knownReviewIds` (type: `array`):
Review IDs already seen by your monitor. Used only when mode is new-since-last.
## `maxReviewsPerProduct` (type: `integer`):
Maximum reviews to emit per product. G2 RSS currently exposes only about 25 latest reviews and has no pagination.
## Actor input object example
```json
{
"products": [
"slack"
],
"mode": "latest",
"maxReviewsPerProduct": 25
}
```
# Actor output Schema
## `report` (type: `string`):
Review records and the run summary as dataset items.
## `reportCsv` (type: `string`):
The same dataset exported as CSV.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"products": [
"slack"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("amazing_wizdom/g2-reviews-monitor").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "products": ["slack"] }
# Run the Actor and wait for it to finish
run = client.actor("amazing_wizdom/g2-reviews-monitor").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"products": [
"slack"
]
}' |
apify call amazing_wizdom/g2-reviews-monitor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=amazing_wizdom/g2-reviews-monitor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "G2 Reviews Monitor - Latest Reviews & Alerts",
"description": "Monitor the latest G2 product reviews through public RSS feeds. RSS-only, no browser or proxy, honest partial results, and no charge for failed, blocked, or empty products.",
"version": "0.1",
"x-build-id": "cxNdCD0jFfiQ9aBLt"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/amazing_wizdom~g2-reviews-monitor/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-amazing_wizdom-g2-reviews-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/amazing_wizdom~g2-reviews-monitor/runs": {
"post": {
"operationId": "runs-sync-amazing_wizdom-g2-reviews-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/amazing_wizdom~g2-reviews-monitor/run-sync": {
"post": {
"operationId": "run-sync-amazing_wizdom-g2-reviews-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"products"
],
"properties": {
"products": {
"title": "G2 products",
"type": "array",
"description": "G2 product slugs or full G2 product/reviews URLs. Example: slack or https://www.g2.com/products/slack/reviews.",
"default": [
"slack"
],
"items": {
"type": "string"
}
},
"mode": {
"title": "Mode",
"enum": [
"latest",
"new-since-last"
],
"type": "string",
"description": "latest returns all current RSS reviews. new-since-last returns only reviews whose IDs are not in knownReviewIds.",
"default": "latest"
},
"knownReviewIds": {
"title": "Known review IDs",
"type": "array",
"description": "Review IDs already seen by your monitor. Used only when mode is new-since-last."
},
"maxReviewsPerProduct": {
"title": "Max reviews per product",
"minimum": 1,
"maximum": 25,
"type": "integer",
"description": "Maximum reviews to emit per product. G2 RSS currently exposes only about 25 latest reviews and has no pagination.",
"default": 25
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```