# Gumroad Search Scraper πŸ” (`easyapi/gumroad-search-scraper`) Actor Scrape Gumroad search results with advanced filtering and pagination support. Extract detailed product information including pricing, ratings, seller details and more. Perfect for market research and product discovery. - **URL**: https://apify.com/easyapi/gumroad-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Integrations, Social media - **Stats:** 19 total users, 0 monthly users, 80.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Gumroad Search Scraper πŸ” Extract valuable product data from Gumroad search results with this powerful scraping tool. Get detailed insights into products, pricing, and seller information to support your market research and competitive analysis. ### 🎯 Use Cases - Market research and competitor analysis - Product discovery and trend monitoring - Price tracking and analysis - Seller research and verification - Digital product catalog building ### ✨ Features - **Advanced Search**: Search products by keywords - **Detailed Data**: Extract comprehensive product information including: - Product details (name, ID, description, URL) - Pricing information (price, currency, payment model) - Seller information (name, ID, profile URL) - Product ratings and reviews - Thumbnail images - **Flexible Configuration**: Customize the number of results - **Automatic Pagination**: Handles "Load more" functionality automatically - **Proxy Support**: Compatible with Apify Proxy for reliable scraping ### πŸ’Ž Output The actor provides detailed JSON output for each product, including: - Product ID and permalink - Product name and description - Seller details - Rating information - Pricing details - Product type and availability - URLs for thumbnails and product pages ### πŸ”§ Input Parameters - `keywords` (Array): List of keywords to search for - `maxItems` (Integer): Maximum number of items to scrape - `proxyConfiguration` (Object): Optional proxy settings ### πŸ’‘ Tips - Use specific keywords for more targeted results - Adjust maxItems based on your needs - Enable proxy support for better reliability - Consider rate limiting for longer scraping sessions ### πŸš€ Getting Started 1. Create a new task for the actor 2. Set your search keywords 3. Configure the maximum number of items 4. Run the actor and collect your data! #### Input Example A full explanation of an input example in JSON. ```json { "keywords": [ "ai" ], "maxItems": 100 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "keyword": "ai", "scrapedAt": "2025-01-28T03:49:08.549Z", "product": { "id": "gu82N0k4M8jl1waz-ttTAA==", "permalink": "ivpqk", "name": "πŸŽ™οΈ MacWhisper", "seller": { "id": "6875988407795", "name": "Jordi Bruin", "avatar_url": "https://public-files.gumroad.com/m9b262afk0t8uiwghka40wg6ek3f", "profile_url": "https://goodsnooze.gumroad.com?recommended_by=search" }, "ratings": { "count": 1555, "average": 4.7 }, "thumbnail_url": "https://public-files.gumroad.com/mhoqmtj5d01on1wxj74zzeed9n8o", "native_type": "digital", "quantity_remaining": null, "is_sales_limited": false, "price_cents": 0, "currency_code": "eur", "is_pay_what_you_want": false, "url": "https://goodsnooze.gumroad.com/l/macwhisper?layout=discover&recommended_by=search", "duration_in_months": null, "recurrence": null, "description": "Quickly and easily transcribe audio files into text with OpenAI's state-of-the-art transcription ..." } }, ... ] ``` # Actor input Schema ## `keywords` (type: `array`): List of keywords to search for on Gumroad ## `maxItems` (type: `integer`): Maximum number of products to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "keywords": [ "ai" ], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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("easyapi/gumroad-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("easyapi/gumroad-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/gumroad-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/gumroad-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gumroad Search Scraper πŸ”", "description": "Scrape Gumroad search results with advanced filtering and pagination support. Extract detailed product information including pricing, ratings, seller details and more. Perfect for market research and product discovery.", "version": "0.0", "x-build-id": "r0ycim8ejyg3kPK06" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~gumroad-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-gumroad-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~gumroad-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-gumroad-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~gumroad-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-gumroad-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search Keywords", "type": "array", "description": "List of keywords to search for on Gumroad", "default": [ "ai" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of products to scrape", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```