# Capterra Review Scraper ⭐ (`shahidirfan/capterra-review-scraper`) Actor Extract reviews, ratings, reviewer details, pros, cons, overall scores, review dates, company size, industry, recommendations, and more from Capterra. Ideal for competitor analysis, market research, sentiment analysis, and business intelligence. - **URL**: https://apify.com/shahidirfan/capterra-review-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Developer tools, Other, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 Scraper Extract verified Capterra software reviews for product research, competitor tracking, and customer sentiment analysis. Collect review titles, ratings, reviewer profiles, pros, cons, dates, and product-level review counts from Capterra product pages. ### Features - **Product review collection** - Gather Capterra reviews from product URLs or direct reviews URLs. - **Automatic URL handling** - Product profile URLs are converted to the matching reviews page. - **Pagination support** - Collect multiple review pages until your requested result count is reached. - **Detailed ratings** - Capture overall rating plus ease of use, support, features, value, and recommendation scores when available. - **Clean datasets** - Empty fields are removed before records are saved. - **Stable request pattern** - Uses Capterra's accepted review pagination shape for smooth runs. --- ### Use Cases #### Competitor Research Compare what buyers say about competing software products. Track recurring complaints, praised features, and reviewer industries to understand how products are positioned in the market. #### Sentiment Analysis Build review datasets for text analysis. Pros and cons fields are separated so you can classify positive and negative themes without manual cleanup. #### Sales Enablement Use review evidence to prepare battlecards and objection handling. Reviewer role, industry, company size, and time used help sales teams focus on buyer segments that match their pipeline. #### Product Monitoring Check new reviews regularly to spot changes in customer satisfaction. Sorting by most recent helps teams monitor fresh feedback and respond to emerging issues. --- ### Input Parameters | Parameter | Type | Required | Default | Description | | -------------------- | ------- | -------- | ----------------- | ------------------------------------------ | | `url` | String | Yes | - | Capterra product or reviews URL to scrape. | | `results_wanted` | Integer | No | `20` | Maximum number of reviews to collect. | | `max_pages` | Integer | No | `3` | Maximum number of review pages to fetch. | | `proxyConfiguration` | Object | No | Residential proxy | Proxy settings for reliable collection. | --- ### Output Data Each dataset item can contain: | Field | Type | Description | | -------------------------------- | ------- | ---------------------------------------------------------- | | `review_id` | String | Capterra review identifier. | | `product_name` | String | Reviewed software product name. | | `review_title` | String | Review headline. | | `review_date` | String | Published review date. | | `overall_rating` | Number | Overall star rating. | | `ease_of_use_rating` | Number | Ease of use score. | | `customer_service_rating` | Number | Customer service score. | | `features_rating` | Number | Features score. | | `value_for_money_rating` | Number | Value for money score. | | `likelihood_to_recommend_rating` | Number | Recommendation score. | | `reviewer_name` | String | Reviewer display name. | | `reviewer_title` | String | Reviewer job title or role. | | `reviewer_industry` | String | Reviewer industry. | | `reviewer_company_size` | String | Reviewer company size. | | `reviewer_time_used` | String | How long the reviewer used the product. | | `reviewer_profile_image` | String | Reviewer profile image URL. | | `reviewer_validated` | Boolean | Whether the reviewer has been validated. | | `reviewer_validations` | Array | Validation methods (LinkedIn, BusinessEmail, ProofOfLink). | | `pros` | String | Positive review text. | | `cons` | String | Negative review text. | | `general_comments` | String | General review comments. | | `advice_to_others` | String | Reviewer advice to other buyers. | | `chosen_reasons` | String | Reasons the reviewer chose the product. | | `switching_reasons` | String | Reasons the reviewer switched to the product. | | `incentive` | String | Incentive disclosure code (NoIncentive, NominalGift). | | `source_site` | String | Source review site. | | `review_source_code` | String | Review source code. | | `review_source` | String | Review source disclosure text. | | `product_url` | String | Source Capterra reviews URL. | | `page` | Integer | Review page number. | | `total_reviews` | Integer | Total review count shown for the product. | --- ### Usage Examples #### Basic Extraction Collect 20 reviews from a product page: ```json { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/", "results_wanted": 20 } ```` #### More Reviews Collect reviews across more pages: ```json { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/", "results_wanted": 50, "max_pages": 4 } ``` #### Start From a Later Page Begin from a specific Capterra reviews page: ```json { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/?page=2", "results_wanted": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` *** ### Sample Output ```json { "review_id": "Capterra___7174523", "product_name": "QuickBooks Online", "review_title": "Reliable Accounting Software That Saves Time and Simplifies Financial Management", "review_date": "June 24, 2026", "overall_rating": 4, "ease_of_use_rating": 5, "customer_service_rating": 2, "features_rating": 3, "value_for_money_rating": 4, "likelihood_to_recommend_rating": 7, "reviewer_name": "Jeff H.", "reviewer_title": "Front office manager", "reviewer_industry": "Medical Practice", "reviewer_company_size": "11 - 50 employees", "reviewer_time_used": "More than 2 years", "reviewer_validated": true, "reviewer_validations": ["ProofOfLink"], "pros": "I feel like QuickBooks provides good value for what you pay...", "cons": "Customer support has been helpful whenever I've needed assistance...", "general_comments": "Overall, my experience with QuickBooks has been very positive...", "incentive": "NoIncentive", "source_site": "Capterra", "review_source_code": "NO", "review_source": "No Incentive Offered: This review was submitted organically.", "product_url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/", "page": 1, "total_reviews": 8483 } ``` *** ### Tips for Best Results #### Use Product or Reviews URLs - Product URLs such as `/p/190778/QuickBooks-Online/` work. - Reviews URLs such as `/p/190778/QuickBooks-Online/reviews/` also work. #### Start Small - Use `results_wanted` of `20` for test runs. - Increase `max_pages` when collecting larger datasets. #### Work With Pagination - Use `max_pages` to control how far the actor paginates. - Add `?page=2` to the input URL if you want to start from a later page. *** ### Integrations Connect your data with: - **Google Sheets** - Review and filter records. - **Airtable** - Build a searchable review database. - **Webhooks** - Send new reviews to your own systems. - **Make** - Run scheduled review workflows. - **Zapier** - Trigger alerts and updates. #### Export Formats - **JSON** - For developers and analysis tools. - **CSV** - For spreadsheets. - **Excel** - For reporting. - **XML** - For system imports. *** ### Frequently Asked Questions #### Can I use either a product URL or a reviews URL? Yes. The actor accepts both Capterra product URLs and Capterra reviews URLs. #### How many reviews are collected per page? Capterra review pages usually show up to 25 reviews per page. #### Why are some fields missing? Some reviews do not include every rating, profile detail, or source field. Empty values are removed from the dataset. #### Can I start from page 2 or later? Yes. Add a `page` query parameter to the Capterra reviews URL, such as `?page=2`. #### Should I use a proxy? Yes. Residential proxies are recommended for consistent production runs. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [API Reference](https://docs.apify.com/api/v2) - [Scheduling Runs](https://docs.apify.com/schedules) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits. # Actor input Schema ## `url` (type: `string`): Capterra product or reviews URL. Product URLs are automatically converted to the reviews page. ## `results_wanted` (type: `integer`): Maximum number of reviews to collect. ## `max_pages` (type: `integer`): Maximum number of Capterra review pages to fetch. Each page usually contains up to 25 reviews. ## `proxyConfiguration` (type: `object`): Residential proxies are recommended for Capterra. ## Actor input object example ```json { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/", "results_wanted": 20, "max_pages": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/", "results_wanted": 20, "max_pages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/capterra-review-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 = { "url": "https://www.capterra.com/p/190778/QuickBooks-Online/", "results_wanted": 20, "max_pages": 3, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/capterra-review-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 '{ "url": "https://www.capterra.com/p/190778/QuickBooks-Online/", "results_wanted": 20, "max_pages": 3 }' | apify call shahidirfan/capterra-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/capterra-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Capterra Review Scraper ⭐", "description": "Extract reviews, ratings, reviewer details, pros, cons, overall scores, review dates, company size, industry, recommendations, and more from Capterra. Ideal for competitor analysis, market research, sentiment analysis, and business intelligence.", "version": "0.0", "x-build-id": "bRrsr8JZPi1YuNRS1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~capterra-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-capterra-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/shahidirfan~capterra-review-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-capterra-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/shahidirfan~capterra-review-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-capterra-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Capterra URL", "type": "string", "description": "Capterra product or reviews URL. Product URLs are automatically converted to the reviews page." }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to collect.", "default": 20 }, "max_pages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Maximum number of Capterra review pages to fetch. Each page usually contains up to 25 reviews.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies are recommended for Capterra.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```