# Gumroad Products & Creator Scraper (`crawlerbros/gumroad-scraper`) Actor Scrape Gumroad products, digital downloads, and seller storefronts. Extract pricing, ratings, review counts, product type, creator info, and purchase links - **URL**: https://apify.com/crawlerbros/gumroad-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 7 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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. 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 ## Gumroad Scraper Scrape public products and seller storefront data from [Gumroad](https://gumroad.com) using the structured page data already embedded in Gumroad HTML responses. This actor returns real product listings, prices, seller details, and optional seller storefront records without logging in. Use it for: - creator-product research - discover-page keyword searches - direct product lookups by Gumroad URL - seller storefront inventory snapshots ### Modes - `searchProducts`: Search Gumroad discover results by keyword - `byProductUrls`: Resolve exact Gumroad product URLs - `bySellerUrls`: Scrape seller storefronts and seller products ### Main Inputs - `searchQuery`: Discover keyword for `searchProducts` - `productUrls`: Exact product URLs - `sellerUrls`: Exact seller storefront URLs - `nativeTypes`: Optional product-type filter - `minPrice` and `maxPrice` - `minRating` - `payWhatYouWantOnly` - `sellerVerifiedOnly` - `includeSellerRecord` - `sortBy` - `maxItems` ### Output The actor emits `product`, `seller`, or `error` records. #### Product fields - product ID and permalink - title and direct URL - native type - price in cents and decimal units - currency code - pay-what-you-want flag - sales-limited flag - quantity remaining when visible - rating count and average - seller name, profile URL, avatar, verification state - seller subdomain and creator Twitter handle - attributes, cover URLs, description HTML, and description text #### Seller fields - seller ID - seller name - seller avatar - seller profile URL - seller subdomain - seller verification state - storefront product count and observed product types ### Notes - This actor uses public HTML responses only. - No cookies, login, or API key are required. - Invalid lookup inputs return typed `error` records instead of failing silently. ### Daily Test The default prefill uses a broad discover query that returns live data: ```json { "mode": "searchProducts", "searchQuery": "notion", "maxItems": 5 } ```` # Actor input Schema ## `mode` (type: `string`): How to find Gumroad products. Use searchProducts to search by keyword, byProductUrls to enrich specific product URLs, or bySellerUrls to scrape a seller's storefront. ## `searchQuery` (type: `string`): Keyword to search for products (mode=searchProducts). Example: notion, python course, ebook. ## `productUrls` (type: `array`): List of Gumroad product URLs to enrich (mode=byProductUrls). ## `sellerUrls` (type: `array`): List of Gumroad seller/storefront URLs to scrape all products from (mode=bySellerUrls). ## `nativeTypes` (type: `array`): Filter by product type. Leave empty to include all types. Allowed values: digital, course, membership, bundle, podcast, audiobook, newsletter, ticket. ## `minPrice` (type: `number`): Only include products priced at or above this value (in USD). ## `maxPrice` (type: `number`): Only include products priced at or below this value (in USD). ## `minRating` (type: `number`): Only include products with an average rating at or above this value (0–5). ## `payWhatYouWantOnly` (type: `boolean`): When enabled, only include products that allow the buyer to set their own price. ## `sellerVerifiedOnly` (type: `boolean`): When enabled, only include products from verified Gumroad sellers. ## `includeSellerRecord` (type: `boolean`): When enabled, also emits a seller profile record for each unique seller encountered. ## `sortBy` (type: `string`): Sort order for search results. ## `maxItems` (type: `integer`): Maximum number of records to extract. ## Actor input object example ```json { "mode": "searchProducts", "searchQuery": "notion", "nativeTypes": [], "payWhatYouWantOnly": false, "sellerVerifiedOnly": false, "includeSellerRecord": true, "sortBy": "relevance", "maxItems": 5 } ``` # Actor output Schema ## `items` (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 = { "mode": "searchProducts", "searchQuery": "notion", "payWhatYouWantOnly": false, "sellerVerifiedOnly": false, "includeSellerRecord": true, "sortBy": "relevance", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/gumroad-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 = { "mode": "searchProducts", "searchQuery": "notion", "payWhatYouWantOnly": False, "sellerVerifiedOnly": False, "includeSellerRecord": True, "sortBy": "relevance", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/gumroad-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 '{ "mode": "searchProducts", "searchQuery": "notion", "payWhatYouWantOnly": false, "sellerVerifiedOnly": false, "includeSellerRecord": true, "sortBy": "relevance", "maxItems": 5 }' | apify call crawlerbros/gumroad-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/gumroad-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gumroad Products & Creator Scraper", "description": "Scrape Gumroad products, digital downloads, and seller storefronts. Extract pricing, ratings, review counts, product type, creator info, and purchase links", "version": "0.1", "x-build-id": "lHNWhyp9WV3Zip3gp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~gumroad-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-gumroad-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~gumroad-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-gumroad-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~gumroad-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-gumroad-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "searchProducts", "byProductUrls", "bySellerUrls" ], "type": "string", "description": "How to find Gumroad products. Use searchProducts to search by keyword, byProductUrls to enrich specific product URLs, or bySellerUrls to scrape a seller's storefront.", "default": "searchProducts" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for products (mode=searchProducts). Example: notion, python course, ebook." }, "productUrls": { "title": "Product URLs", "type": "array", "description": "List of Gumroad product URLs to enrich (mode=byProductUrls).", "items": { "type": "string" } }, "sellerUrls": { "title": "Seller URLs", "type": "array", "description": "List of Gumroad seller/storefront URLs to scrape all products from (mode=bySellerUrls).", "items": { "type": "string" } }, "nativeTypes": { "title": "Native Types", "type": "array", "description": "Filter by product type. Leave empty to include all types. Allowed values: digital, course, membership, bundle, podcast, audiobook, newsletter, ticket.", "default": [], "items": { "type": "string" } }, "minPrice": { "title": "Minimum Price", "minimum": 0, "maximum": 1000000, "type": "number", "description": "Only include products priced at or above this value (in USD)." }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "maximum": 1000000, "type": "number", "description": "Only include products priced at or below this value (in USD)." }, "minRating": { "title": "Minimum Rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Only include products with an average rating at or above this value (0–5)." }, "payWhatYouWantOnly": { "title": "Pay What You Want Only", "type": "boolean", "description": "When enabled, only include products that allow the buyer to set their own price.", "default": false }, "sellerVerifiedOnly": { "title": "Seller Verified Only", "type": "boolean", "description": "When enabled, only include products from verified Gumroad sellers.", "default": false }, "includeSellerRecord": { "title": "Include Seller Record", "type": "boolean", "description": "When enabled, also emits a seller profile record for each unique seller encountered.", "default": true }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "priceAsc", "priceDesc", "ratingDesc", "newest" ], "type": "string", "description": "Sort order for search results.", "default": "relevance" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of records to extract.", "default": 5 } } }, "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 } } } } } } } } } } ```