# Capterra Reviews Scraper 2026 (`devcake/capterra-scraper`) Actor Scrape Capterra review data instantly — detailed ratings, verified reviewer identities, job titles, company sizes, and real pros/cons for your research. - **URL**: https://apify.com/devcake/capterra-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** Other, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.30 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Capterra Review Scraper ⭐ **Extract verified software reviews from Capterra** — ratings, reviewer metadata, pros/cons, detailed comments. Fast direct API scraping at scale. --- ### ⭐ What It Does This tool pulls **verified software reviews** directly from Capterra without needing a browser. It grabs the full review picture — overall score, sub-ratings (ease of use, value for money, functionality, customer support), pros/cons, author details, and more — then outputs structured JSON ready for analysis, import, or integration. --- ### 👥 Who It's For - **Product teams** — gather user feedback to prioritize roadmaps and fix pain points - **Marketers & brand managers** — monitor sentiment across software categories - **Analysts & researchers** — build training datasets, benchmark software vs. competitors - **Lead gen & sales teams** — identify verified current-user reviews for social proof campaigns - **Software reviewers & bloggers** — collect structured review data at scale --- ### ⭐ Data You Get | Field | Description | |-------|-------------| | `review_id` | Unique Capterra review identifier | | `title` | Review headline | | `body` | Full review text | | `rating` | Overall star rating (1–5) | | `author_name` | Reviewer display name | | `author_job_title` | Their job role | | `author_company_size` | Employee count bucket | | `industry_name` | Industry sector | | `date_published` | When the review was posted | | `is_validated` | Verified Capterra user flag | | `verified_linkedin` | LinkedIn profile verification status | | `time_used_product` | How long the reviewer used the product | | `customer_support_rating` | Sub-rating for support (1–5) | | `ease_of_use_rating` | Sub-rating for ease of use (1–5) | | `functionality_rating` | Sub-rating for features/functionality (1–5) | | `value_for_money_rating` | Sub-rating for value for money (1–5) | | `recommendation_rating` | Recommendation score (out of 10) | | `pros_text` | Pros — what the reviewer liked | | `cons_text` | Cons — what the reviewer disliked | | `incentivized` | Incentive type (e.g. NominalGift) | | `source` | Always `capterra` | | `page` | Page number this review came from | --- ### 💡 Use Cases #### Product Research & Competitive Analysis Compare Capterra ratings across competitor software. Spot common complaints to find gaps your product can fill, or lean into strengths you already have. #### Sentiment Analysis at Scale Feed clean, structured review text into NLP pipelines. Filter by industry, rating, or time period for targeted sentiment studies. #### Lead Generation from Verified Reviews Pull reviewer metadata (job title, company size, industry) to build warm B2B outbound lists from real, verified users. #### B2B SaaS Benchmarking Track sub-ratings (ease of use, value for money, customer support) over time to benchmark how your product stacks up against the market. #### Review Aggregation for Comparison Pages Populate product comparison pages or internal wikis with real, up-to-date Capterra reviews — without manual copy-pasting. --- ### 🚀 Quick Start **1.** Go to [apify.com/capterra-review-scraper](https://apify.com) and click **Try it out** **2.** Enter a **Product Slug** — e.g. `jira`, `slack`, `zendesk` — the lowercase product name from the Capterra URL **3.** Set **Max Reviews** (min 30) and choose a **Sort Order**, then click **Start** **4.** Download results as **JSON** from the dataset output That's it. No setup needed. --- ### ⚙️ Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `queries` | array of strings | ✅ Yes | One or more Capterra product slugs to scrape concurrently (e.g. `["jira", "slack"]`). Find the slug in the product URL: `https://www.capterra.com/p//reviews/`. Default: `["jira"]`. | | `max_reviews` | integer | No | Maximum number of reviews to scrape per product (min30, max 1000). Default: `50`. Each page returns ~20–25 reviews. | | `sort` | string | No | Review sort order. Options: `HIGHEST_COMPLETENESS_SCORE` (default, most detailed reviews first) or `MOST_RECENT` (latest first). | | `proxyConfiguration` | object | No | Proxy settings. Enable Apify Proxy with `useApifyProxy: true` for residential IP rotation to avoid blocks on high-volume runs. | --- ### 📝 Example #### Input ```json { "queries": ["jira"], "max_reviews": 50, "sort": "MOST_RECENT" } ```` #### Output ```json [ { "source": "capterra", "review_id": "Capterra___7133000", "title": "Powerful tool for managing development tasks and team collaboration", "body": "Overall, my experience with Jira has been very positive...", "rating": 5.0, "author_name": "Kaynan S.", "author_job_title": "Senior Software Engineer", "author_company_size": "51-200 employees", "industry_name": "Entertainment", "date_published": "April 17, 2026", "is_validated": true, "verified_linkedin": true, "time_used_product": "2+ years", "customer_support_rating": 4.0, "ease_of_use_rating": 4.0, "functionality_rating": 5.0, "value_for_money_rating": 5.0, "recommendation_rating": 9.0, "pros_text": "What I like most about Jira is how powerful it is for managing tasks...", "cons_text": "One downside is that Jira can feel a bit complex, especially for new users...", "incentivized": "NominalGift", "page": 1 } ] ``` *** ### ❓ FAQ **Q: Do I need a proxy?** A: Not strictly — this scraper calls Capterra directly. For high-volume runs, enabling Apify Proxy with residential IPs is recommended. **Q: How is this different from a traditional web scraper?** A: Most scrapers need a full browser to load pages — slower startup, more memory, and extra overhead. This tool calls Capterra's data endpoint directly, so it starts instantly and handles large scrape jobs without breaking a sweat. **Q: What does `recommendation_rating` mean?** A: A 0–10 score measuring how strongly the reviewer recommends the product. It's separate from the 5-star overall rating and gives finer-grained signal for recommendation intent. **Q: Can I scrape multiple products in one run?** A: Yes. Enter multiple product slugs in the `queries` array (e.g. `["jira", "slack", "zendesk"]`). The scraper handles up to 3 concurrently per run. **Q: What does `incentivized` mean?** A: Indicates whether the reviewer received an incentive from Capterra to leave the review (e.g. `NominalGift`). Empty string means no incentive was given — a genuine unprompted review. *** ### ⚡ Features - **Direct API access** — fast, lightweight, reliable at scale - **Paginated scraping** — pull up to 1,000 reviews per run (50 pages × 20 reviews) - **Two sort options** — highest completeness, most recent - **Verified reviewer data** — LinkedIn verification status, job title, company size, industry, time-using-product - **Sub-category ratings** — customer support, ease of use, functionality, value for money, recommendation score # Actor input Schema ## `queries` (type: `array`): Enter one or more Capterra product slugs to scrape. ## `max_reviews` (type: `integer`): Maximum number of reviews to scrape per product. Each page returns ~20–25 reviews. Minimum 30. ## `sort` (type: `string`): Choose how reviews are sorted. Highest Completeness returns most detailed reviews first. Most Recent returns latest reviews first. ## Actor input object example ```json { "queries": [ "jira" ], "max_reviews": 50, "sort": "HIGHEST_COMPLETENESS_SCORE" } ``` # Actor output Schema ## `dataset` (type: `string`): Complete dataset of scraped reviews in raw JSON format. Each item is a single review object. ## `summary` (type: `string`): Statistics and metadata about this scrape run: total reviews scraped, pages scraped, errors encountered, and per-product stats. # 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 = { "queries": [ "jira" ] }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/capterra-scraper").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 = { "queries": ["jira"] } # Run the Actor and wait for it to finish run = client.actor("devcake/capterra-scraper").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 '{ "queries": [ "jira" ] }' | apify call devcake/capterra-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/capterra-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Capterra Reviews Scraper 2026", "description": "Scrape Capterra review data instantly — detailed ratings, verified reviewer identities, job titles, company sizes, and real\npros/cons for your research.", "version": "0.0", "x-build-id": "svE4ZPa0PrxDF6AXj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~capterra-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-capterra-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devcake~capterra-scraper/runs": { "post": { "operationId": "runs-sync-devcake-capterra-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devcake~capterra-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-capterra-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Product Slugs", "type": "array", "description": "Enter one or more Capterra product slugs to scrape.", "items": { "type": "string", "pattern": "^[a-zA-Z0-9_-]+$", "minLength": 1 } }, "max_reviews": { "title": "Max Reviews per Product", "minimum": 30, "maximum": 1000, "type": "integer", "description": "Maximum number of reviews to scrape per product. Each page returns ~20–25 reviews. Minimum 30.", "default": 50 }, "sort": { "title": "Sort Order", "enum": [ "HIGHEST_COMPLETENESS_SCORE", "MOST_RECENT" ], "type": "string", "description": "Choose how reviews are sorted. Highest Completeness returns most detailed reviews first. Most Recent returns latest reviews first.", "default": "HIGHEST_COMPLETENESS_SCORE" } } }, "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 } } } } } } } } } } ```