# Capterra Review Firehose — B2B Software Reviews API (`nexgendata/capterra-review-firehose`) Actor Daily firehose of new Capterra and TrustRadius reviews for any SaaS product. Track competitive sentiment, capture displacement leads, monitor launches. Pay per review. - **URL**: https://apify.com/nexgendata/capterra-review-firehose.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, Marketing, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 review captureds 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Capterra Review Firehose Stream B2B software reviews from Capterra — ratings, pros, cons and reviewer role for competitive review monitoring. > Public reviews only — reviewer identities are shown exactly as published on the source platform. ### ⏰ Run this as a weekly review monitor (recommended) New reviews land continuously. Schedule a weekly sweep (`0 8 * * 1`) and catch fresh reviews as they post — always-on review monitoring. ### 📊 What you get Clean JSON, one record per review (full output has 10 fields): - `product` — Product - `category` — Category - `reviewer_name` — Reviewer name - `reviewer_role` — Reviewer role - `rating` — Rating - `review_title` — Review title - `pros` — Pros - `cons` — Cons - `review_date` — Review date - `source_url` — Source url **Pricing:** $0.150 per review (Pay-Per-Event) — about **7 reviews per $1**. ### 🤖 Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull data on demand. **Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required. ### 🔗 Related actors **Review & app intelligence family — monitor reviews across every platform, score them, pipe them to Notion:** [Apple App Store](https://apify.com/nexgendata/apple-app-store-scraper) · [Google Play Store](https://apify.com/nexgendata/google-play-store-scraper) · [Google Play Reviews](https://apify.com/nexgendata/google-play-reviews-scraper) · [iOS App Store Reviews](https://apify.com/nexgendata/ios-app-store-reviews-scraper) · [Google Maps Reviews](https://apify.com/nexgendata/google-maps-reviews) · [Amazon Reviews](https://apify.com/nexgendata/amazon-reviews) · [AI Sentiment Analyzer](https://apify.com/nexgendata/ai-sentiment-analyzer) · [Review Intelligence to Notion](https://apify.com/nexgendata/review-intelligence-notion) **Agent front door — Review Intelligence MCP:** [Review Intelligence MCP](https://apify.com/nexgendata/review-intelligence-mcp-server) *This actor is currently private — treated and ready for review.* --- *Public web data, assembled for research and monitoring.* # Actor input Schema ## `products` (type: `array`): List of products to fetch reviews for. Each item is an object with `source` (capterra | trustradius | g2), `productSlug`, and optional `productUrl`. Max 50 products per run. For Capterra, productSlug must be the URL slug after /p/, e.g. `152577/Salesforce-com` or supply the full productUrl. ## `sinceDate` (type: `string`): Only emit reviews newer than this ISO date (YYYY-MM-DD). Leave blank for all available reviews. ## `maxReviewsPerProduct` (type: `integer`): Maximum number of reviews to capture per product. ## `minRating` (type: `integer`): Only include reviews with rating >= this value (1-5). ## `maxRating` (type: `integer`): Only include reviews with rating <= this value. Set to 3 for displacement-leads use case (unhappy reviewers). ## `includeReviewerProfile` (type: `boolean`): When true, pull the reviewer's role, company size, and industry from the review byline. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Defaults to residential proxy group BUYPROXIES94952. ## Actor input object example ```json { "products": [ { "source": "capterra", "productSlug": "152577/Salesforce-com" } ], "sinceDate": "2026-05-01", "maxReviewsPerProduct": 50, "minRating": 1, "maxRating": 5, "includeReviewerProfile": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } } ```` # 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": [ { "source": "capterra", "productSlug": "152577/Salesforce-com" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/capterra-review-firehose").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": [{ "source": "capterra", "productSlug": "152577/Salesforce-com", }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["BUYPROXIES94952"], }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/capterra-review-firehose").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": [ { "source": "capterra", "productSlug": "152577/Salesforce-com" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } }' | apify call nexgendata/capterra-review-firehose --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/capterra-review-firehose", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Capterra Review Firehose — B2B Software Reviews API", "description": "Daily firehose of new Capterra and TrustRadius reviews for any SaaS product. Track competitive sentiment, capture displacement leads, monitor launches. Pay per review.", "version": "0.0", "x-build-id": "YiSvXhaUngeWYf76O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~capterra-review-firehose/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-capterra-review-firehose", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~capterra-review-firehose/runs": { "post": { "operationId": "runs-sync-nexgendata-capterra-review-firehose", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~capterra-review-firehose/run-sync": { "post": { "operationId": "run-sync-nexgendata-capterra-review-firehose", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Products to monitor", "type": "array", "description": "List of products to fetch reviews for. Each item is an object with `source` (capterra | trustradius | g2), `productSlug`, and optional `productUrl`. Max 50 products per run. For Capterra, productSlug must be the URL slug after /p/, e.g. `152577/Salesforce-com` or supply the full productUrl.", "default": [ { "source": "capterra", "productSlug": "152577/Salesforce-com" } ] }, "sinceDate": { "title": "Since date (ISO)", "type": "string", "description": "Only emit reviews newer than this ISO date (YYYY-MM-DD). Leave blank for all available reviews." }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of reviews to capture per product.", "default": 50 }, "minRating": { "title": "Minimum star rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with rating >= this value (1-5).", "default": 1 }, "maxRating": { "title": "Maximum star rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with rating <= this value. Set to 3 for displacement-leads use case (unhappy reviewers).", "default": 5 }, "includeReviewerProfile": { "title": "Include reviewer profile", "type": "boolean", "description": "When true, pull the reviewer's role, company size, and industry from the review byline.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Defaults to residential proxy group BUYPROXIES94952.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "BUYPROXIES94952" ] } } } }, "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 } } } } } } } } } } ```