# Hotmart Marketplace Product Catalog Scraper (`jungle_synthesizer/hotmart-marketplace-product-catalog-scraper`) Actor Scrape Hotmart's marketplace — the - **URL**: https://apify.com/jungle\_synthesizer/hotmart-marketplace-product-catalog-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Hotmart Marketplace Product Catalog Scraper Scrape Hotmart's marketplace — the #1 LATAM creator-economy platform — by keyword. Returns product title, category, language, rating, producer name, format, and thumbnail from server-rendered search results. Supports multi-keyword sweeps for broad catalog coverage. ### What does this scraper do? Hotmart is the dominant digital infoproduct marketplace in Latin America, hosting 50k–150k courses, ebooks, memberships, and software products across Brazil, Mexico, Colombia, Argentina, and beyond. This actor fetches the server-rendered marketplace search results page and extracts structured product data directly from the embedded JSON — no browser rendering required. For each keyword you provide, the actor scrapes one page of 24 products and returns all available listing-level fields. ### Use cases - **Affiliate market research** — Discover high-rated, high-traffic courses and digital products to promote as a Hotmart affiliate - **Competitive intelligence** — Track categories, producers, and formats in specific niches (marketing, health, finance, education) - **Infoproduct launch research** — Identify market saturation and gaps across pt-BR and es categories before launching a new product - **Producer profiling** — Collect producer names, profile URLs, and product portfolios across keyword segments - **LATAM e-commerce data** — Build datasets for market sizing or investor research on the LATAM creator economy ### Input parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `keywords` | array | Yes | `["marketing", "cursos online"]` | List of search keywords. Each keyword fetches 24 products. | | `maxItems` | integer | Yes | `10` | Maximum total records to collect across all keywords. `0` = unlimited. | | `sp_intended_usage` | string | No | — | Your intended use case (helps improve the actor) | ### Output fields | Field | Type | Notes | |-------|------|-------| | `product_id` | string | Hotmart reference code (e.g. `J4108478E`) | | `product_url` | string | Full marketplace URL | | `title` | string | Product title from listing card | | `category` | string | Hotmart category slug (e.g. `fashion_and_beauty`) | | `subcategory` | string | Topification / subcategory slug | | `language` | string | `PT_BR`, `ES`, `EN`, etc. | | `description_short` | string | First 500 chars of the product description | | `price_brl` | null | Price is loaded client-side; not available from listing page | | `rating_avg` | number | Average rating (0–5), null if not shown | | `rating_count` | integer | Total review count | | `producer_name` | string | Creator / producer display name | | `producer_id` | integer | Hotmart numeric user ID | | `producer_profile_url` | string | Producer's marketplace profile page | | `format` | string | Product type (e.g. `online_services`, `ebook`, `subscription`) | | `hot_score` | number | Hotmart internal ranking score | | `thumbnail_url` | string | CDN thumbnail URL | | `search_keyword` | string | Keyword that returned this product | | `scraped_at` | string | ISO 8601 timestamp | ### Sample output ```json { "product_id": "J4108478E", "product_url": "https://hotmart.com/pt-br/marketplace/produtos/formula-negocio-online/J4108478E", "title": "Fórmula Negócio Online", "category": "business", "subcategory": "empreendedorismo-e-negocios", "language": "PT_BR", "description_short": "O método mais completo para você criar e lucrar com um negócio online do zero...", "price_brl": null, "rating_avg": 4.87, "rating_count": 12043, "producer_name": "Alex Vargas", "producer_id": 123456, "producer_profile_url": "https://hotmart.com/pt-br/marketplace/especialista/alexvargas/PUBID", "format": "online_services", "hot_score": 88750.33, "thumbnail_url": "https://static-media.hotmart.com/...", "search_keyword": "marketing", "scraped_at": "2026-05-30T19:00:00.000Z" } ```` ### Pricing note Hotmart's price data is loaded client-side via an authenticated internal API and is not available from the server-rendered listing page. The `price_brl`, `price_currency`, and `price_alt` fields will always be `null`. For price data, check the product's individual page. ### Coverage - Each keyword returns up to 24 products (one server-rendered page) - Hotmart's internal pagination requires client-side auth; only the first page is available per keyword - For broader coverage, provide multiple keywords (e.g., `["marketing digital", "vendas", "empreendedorismo"]`) - Supports any language keyword — Hotmart serves pt-BR, es, and en products from the same endpoint ### Limitations - Price, affiliate commission, and CTA label are not available from the listing page - Pagination beyond 24 results per keyword requires an authenticated session (not supported) - Detail page data (full description, course syllabus, instructor bio) requires a separate crawl of individual product pages # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `keywords` (type: `array`): List of search keywords to scrape. Each keyword fetches one page of 24 products from the Hotmart marketplace. ## `maxItems` (type: `integer`): Maximum number of records to scrape across all keywords. Set to 0 for unlimited. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": [ "marketing", "cursos online" ], "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": [ "marketing", "cursos online" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/hotmart-marketplace-product-catalog-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": [ "marketing", "cursos online", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/hotmart-marketplace-product-catalog-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keywords": [ "marketing", "cursos online" ], "maxItems": 10 }' | apify call jungle_synthesizer/hotmart-marketplace-product-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/hotmart-marketplace-product-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotmart Marketplace Product Catalog Scraper", "description": "Scrape Hotmart's marketplace — the", "version": "0.1", "x-build-id": "zuESdN84Dsjh9Hy93" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~hotmart-marketplace-product-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-hotmart-marketplace-product-catalog-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/jungle_synthesizer~hotmart-marketplace-product-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-hotmart-marketplace-product-catalog-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/jungle_synthesizer~hotmart-marketplace-product-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-hotmart-marketplace-product-catalog-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": [ "keywords", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "keywords": { "title": "Keywords", "type": "array", "description": "List of search keywords to scrape. Each keyword fetches one page of 24 products from the Hotmart marketplace.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape across all keywords. Set to 0 for unlimited." } } }, "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 } } } } } } } } } } ```