# G2 Product Reviews — Reviews by Product Slug (`v0iddo/g2-product-reviews`) Actor Pull G2.com product reviews via the public product review pages. One row per review with title, body, rating, reviewer name + role + company, posted date, pros, cons, recommendation. Specify maxReviewsPerProduct. - **URL**: https://apify.com/v0iddo/g2-product-reviews.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Product Reviews Scraper — Reviews by Slug Pull G2.com product reviews for any SaaS product by slug. One row per review — title, body, rating, reviewer name / role / company size, posted date, pros, cons, recommendation. > **Cloudflare notice:** G2 aggressively blocks datacenter IPs. This actor will likely return zero rows unless the run environment provides residential proxies. If the first page returns 403 or 503, the actor exits cleanly with zero rows rather than retrying indefinitely. ### Example output row ```json { "reviewId": "12345678", "product": "slack", "title": "Best team communication tool we've used", "body": "Overall a solid product for async communication.", "rating": 4.5, "reviewerName": "Jane Smith", "reviewerRole": "Product Manager", "reviewerCompanySize": "51-200 employees", "postedAt": "2024-03-15", "pros": "Integrations are excellent. Threads keep conversations organized.", "cons": "Notifications can be overwhelming without careful configuration.", "recommendation": "Highly recommended for remote teams." } ```` ### How to use #### Input ```json { "products": ["slack", "notion", "figma"], "maxReviewsPerProduct": 50 } ``` | Field | Type | Default | Description | |---|---|---|---| | `products` | `string[]` | `["slack","notion","figma"]` | G2 product slugs — the segment after `/products/` in the URL | | `maxReviewsPerProduct` | `integer` | `50` | Maximum reviews to collect per product (across up to 5 pages) | The slug is the URL path component: for `https://www.g2.com/products/salesforce-crm/reviews` the slug is `salesforce-crm`. #### Source endpoint ``` GET https://www.g2.com/products/{slug}/reviews?page={N} ``` Pagination is via `?page=N` (max 5 pages per product). Reviews are extracted from JSON-LD structured data when available, otherwise from review card HTML elements. ### Pricing | Event | USD per unit | |---|---| | `review_extracted` — one G2.com product review row in the dataset | $0.0003 | You are charged only for rows actually written to the dataset. A run that is blocked by Cloudflare and emits zero rows costs nothing. ### Buyer - **Competitive intelligence teams** monitoring what customers say about competitor SaaS products. - **Product managers** tracking sentiment and feature requests for their own G2-listed products. - **Sales & marketing** teams building social-proof assets from verified reviews. - **Market researchers** aggregating multi-product review corpora for NLP analysis. - **CX analysts** tracking reviewer role + company-size distribution over time. ### Source Public review pages at `https://www.g2.com/products/{slug}/reviews`. No authentication required. Reviews are extracted from `application/ld+json` structured data blocks embedded in the HTML, with a BeautifulSoup card parser as fallback. # Actor input Schema ## `products` (type: `array`): G2 product slugs (the segment after /products/) ## `maxReviewsPerProduct` (type: `integer`): Cap reviews per product ## Actor input object example ```json { "products": [ "slack", "notion", "figma" ], "maxReviewsPerProduct": 50 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "products": [ "slack", "notion", "figma" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/g2-product-reviews").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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", "notion", "figma", ] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/g2-product-reviews").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", "notion", "figma" ] }' | apify call v0iddo/g2-product-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/g2-product-reviews", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "G2 Product Reviews — Reviews by Product Slug", "description": "Pull G2.com product reviews via the public product review pages. One row per review with title, body, rating, reviewer name + role + company, posted date, pros, cons, recommendation. Specify maxReviewsPerProduct.", "version": "0.1", "x-build-id": "wSKHx5DxGoZHxOZhZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~g2-product-reviews/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-g2-product-reviews", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~g2-product-reviews/runs": { "post": { "operationId": "runs-sync-v0iddo-g2-product-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~g2-product-reviews/run-sync": { "post": { "operationId": "run-sync-v0iddo-g2-product-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "products": { "title": "products", "type": "array", "description": "G2 product slugs (the segment after /products/)", "default": [], "items": { "type": "string" } }, "maxReviewsPerProduct": { "title": "maxReviewsPerProduct", "type": "integer", "description": "Cap reviews per product", "default": 50 } } }, "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 } } } } } } } } } } ```