# Hotmart Reviews Spider (`getdataforme/hotmart-reviews-spider`) Actor Extract customer reviews from Hotmart product pages to uncover insights on performance, sentiment, and trends.... - **URL**: https://apify.com/getdataforme/hotmart-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 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 ### Description Extract customer reviews from Hotmart product pages to uncover insights on performance, sentiment, and trends.... --- ## Hotmart Reviews Spider The Hotmart Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Hotmart product pages. It enables users to gather valuable insights into product performance, customer sentiment, and feedback trends directly from Hotmart's marketplace. This tool is essential for businesses, researchers, and analysts looking to monitor product reputation and make data-driven decisions. ### Features - **Comprehensive Review Extraction**: Captures detailed review data including user names, ratings, dates, and full review texts from Hotmart product pages. - **High Reliability and Accuracy**: Built with robust scraping logic to handle dynamic content and ensure data integrity. - **Fast and Efficient Crawling**: Optimized for speed, allowing quick extraction of large volumes of reviews without compromising quality. - **Flexible Input Configuration**: Supports multiple start URLs for batch processing of different products. - **Structured JSON Output**: Delivers clean, machine-readable data ready for analysis or integration into other systems. - **Error Handling and Logging**: Includes built-in mechanisms to manage failures and provide detailed logs for troubleshooting. - **Apify Integration**: Seamlessly runs on the Apify platform with easy deployment and monitoring. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | StartUrls | array | Yes | An array of URLs pointing to Hotmart product pages from which to scrape reviews. Each URL must be a valid HTTP or HTTPS link. | ["https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W"] | ### Example Usage To run the Hotmart Reviews Spider, provide the input in JSON format as shown below: ```json { "StartUrls": [ "https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W" ] } ```` Example output in JSON format: ```json [ { "ucode": 34776744, "productId": 173373, "date": "2023-06-08T10:08:56.688Z", "userName": "Rafael", "userAvatar": "", "rating": "5", "review": " ", "actor_id": "dzAEj4aWxsiMqn9So", "run_id": "huk0e2LUgq1eD7LI8" }, { "ucode": 21487528, "productId": 173373, "date": "2023-05-24T02:39:05.488Z", "userName": "Eduardo", "userAvatar": "", "rating": "5", "review": "Curso Excelente. O Caio chega a ter mais energia do que os alunos e os cachorros. Mostra os exemplos em diversas ocasi\u00f5es, com varia\u00e7\u00f5es. O suporte \u00e9 muito bom. O curso exige dedica\u00e7\u00e3o, se dedicar, principalmente no come\u00e7o o resultado vem r\u00e1pido. A apresenta\u00e7\u00e3o do material \u00e9 boa, mas a sequencia do nome das aulas \u00e9 um pouco ruim. Se organizar isso mais ficaria 100%. \u00danica queixa.", "actor_id": "dzAEj4aWxsiMqn9So", "run_id": "huk0e2LUgq1eD7LI8" }, { "ucode": 19811051, "productId": 173373, "date": "2023-05-23T13:26:33.328Z", "userName": "Eriko", "userAvatar": "", "rating": "5", "review": "Caio passa com muita destreza e clareza todo o conte\u00fado. \u00danica sugest\u00e3o que dou seria uma aula de \"desmame\" de treinamento com comida para o brinquedo e em n\u00e3o aceitar comida de outras pessoas. Jah tenho experi\u00eancia em treinamento de meus c\u00e3es e comprei o treinamento para aprimorar meus conhecimentos e usar nos novos cachorros. Adorei o curso e reciclo muita coisa que n\u00e3o lembrava e aprimorou o que n\u00e3o ocnhecia. Recomendo a todos!! Muito sucesso ao Caio!", "actor_id": "dzAEj4aWxsiMqn9So", "run_id": "huk0e2LUgq1eD7LI8" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze customer feedback to identify trends, strengths, and areas for improvement in Hotmart products. - **Competitive Intelligence**: Compare reviews across similar products to gauge market positioning and competitor performance. - **Price Monitoring**: Track sentiment related to pricing and value propositions in product reviews. - **Content Aggregation**: Collect and aggregate reviews for content creation, such as blog posts or reports on digital products. - **Academic Research**: Gather data for studies on consumer behavior, e-commerce trends, and online education platforms. - **Business Automation**: Integrate review data into dashboards or workflows for automated reporting and decision-making. ### Installation and Usage 1. Search for "Hotmart Reviews Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., provide StartUrls). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is an array of JSON objects, each representing a single review. Key fields include: - `ucode`: Unique user code. - `productId`: Identifier for the product. - `date`: Timestamp of the review in ISO format. - `userName`: Name of the reviewer. - `userAvatar`: URL to the user's avatar (may be empty). - `rating`: Numerical rating (e.g., "5" for 5 stars). - `review`: Full text of the review. - `actor_id` and `run_id`: Metadata from the Apify run. This structured format ensures easy parsing and integration with data analysis tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `StartUrls` (type: `array`): The start urls for the spider. ## Actor input object example ```json { "StartUrls": [ "https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/hotmart-reviews-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/hotmart-reviews-spider").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 '{}' | apify call getdataforme/hotmart-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/hotmart-reviews-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotmart Reviews Spider", "description": "Extract customer reviews from Hotmart product pages to uncover insights on performance, sentiment, and trends....", "version": "0.0", "x-build-id": "AFvFL56HLjBPZVNGD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~hotmart-reviews-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-hotmart-reviews-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~hotmart-reviews-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-hotmart-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~hotmart-reviews-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-hotmart-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "StartUrls": { "title": "Start Urls", "minItems": 1, "type": "array", "description": "The start urls for the spider.", "default": [ "https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```