# GOAT Sneaker Marketplace Scraper (`crawlerbros/goat-scraper`) Actor Scrape GOAT (goat.com) the world's largest sneaker and streetwear resale marketplace. Search products, browse by category, fetch individual product details, or get trending items. Get prices, condition, colorways, brand, SKU, and marketplace statistics. - **URL**: https://apify.com/crawlerbros/goat-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 11 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 ## GOAT Sneaker Marketplace Scraper Extract product data from [GOAT](https://www.goat.com) — the world's largest authenticated sneaker and streetwear resale marketplace with millions of listings across shoes, apparel, and accessories. ### What data you get | Field | Description | |---|---| | `productId` | Unique GOAT product identifier | | `slug` | URL slug (e.g. `air-jordan-1-retro-high-og-chicago-2015`) | | `name` | Full product name | | `sku` | Style ID / SKU (e.g. `575441-101`) | | `brand` | Brand name (e.g. `Jordan Brand`, `Nike`, `Adidas`) | | `category` | Product category (`shoes`, `apparel`, `accessories`) | | `productType` | Same as category (GOAT nomenclature) | | `colorway` | Colorway description | | `description` | Product description | | `retailPrice` | Original retail price in USD | | `lowestAskPrice` | Current lowest ask price in USD | | `highestBidPrice` | Current highest bid price in USD | | `lastSalePrice` | Last completed sale price in USD | | `numberOfAsks` | Number of active ask listings | | `numberOfBids` | Number of active bids | | `releasedAt` | Original release date (ISO 8601) | | `isNew` | Whether the product is new condition | | `mainPictureUrl` | Product image URL | | `productUrl` | Link to the GOAT product page | | `tags` | Product tags (e.g. `["shoes", "retro", "jordan"]`) | | `recordType` | Always `"product"` | | `siteName` | Always `"GOAT"` | | `scrapedAt` | ISO 8601 timestamp of when the record was scraped | ### Modes #### `search` (default) Search products by keyword using GOAT's Algolia-powered search. ```json { "mode": "search", "query": "Air Jordan 1", "maxItems": 20 } ```` #### `bySlug` Fetch one or more specific products by their GOAT URL slug. ```json { "mode": "bySlug", "slugs": [ "air-jordan-1-retro-high-og-chicago-2015", "yeezy-boost-350-v2-zebra" ] } ``` #### `byCategory` Browse all products in a category. ```json { "mode": "byCategory", "category": "apparel", "sort": "newest", "maxItems": 50 } ``` #### `trending` Fetch trending/popular products (sorted by popularity). ```json { "mode": "trending", "category": "shoes", "maxItems": 50 } ``` ### Filters | Filter | Type | Description | |---|---|---| | `brand` | textfield | Substring match on brand name (e.g. `Nike`, `Jordan`) | | `category` | select | `shoes`, `apparel`, or `accessories` | | `condition` | select | `new_no_defects`, `new_with_defects`, or `used` | | `minPrice` | float | Minimum lowest-ask price in USD | | `maxPrice` | float | Maximum lowest-ask price in USD | | `sort` | select | `most_popular`, `lowest_price`, `highest_price`, `newest` | | `maxItems` | integer | Maximum records to return (default: 50, max: 1000) | ### Example: Cheap Nike Dunks under $300 ```json { "mode": "search", "query": "Nike Dunk Low", "brand": "Nike", "maxPrice": 300, "sort": "lowest_price", "maxItems": 25 } ``` ### Example: New Yeezy releases ```json { "mode": "search", "query": "Yeezy", "condition": "new_no_defects", "sort": "newest", "maxItems": 50 } ``` ### Technical notes - Uses GOAT's embedded Algolia search (App ID: `2FWOTDVM2O`), which is a public search-only key included in GOAT's app bundle — no auth required. - All prices are returned in USD (converted from cents). - The `bySlug` mode uses the GOAT REST API at `goat.com/api/v1/product_templates/`. ### FAQs **Does this require a GOAT account or API key?** No. The scraper uses GOAT's public search index (Algolia) which is accessible without authentication. **How accurate are the prices?** Prices are live marketplace data reflecting current asks and bids at the time of scraping. **Can I scrape sold/historical listings?** The scraper returns active marketplace listings. Historical sale data (`lastSalePrice`) is included when available from the search index. **What's the maximum number of items I can scrape?** Set `maxItems` up to 1000 per run. Algolia paginates at 20 items per page. **What brands are available?** GOAT carries Nike, Jordan Brand, Adidas, Yeezy, New Balance, Puma, Reebok, Converse, Vans, Off-White, Supreme, and hundreds more. Use the `brand` filter to narrow results. # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `query` (type: `string`): Keyword to search for. E.g. `Air Jordan 1`, `Yeezy 350`, `Nike Dunk`. ## `slugs` (type: `array`): List of GOAT product slugs. E.g. `air-jordan-1-retro-high-og-chicago-2015`. ## `category` (type: `string`): Product category to browse or filter by. ## `sort` (type: `string`): How to sort results. ## `brand` (type: `string`): Filter results by brand name substring (case-insensitive). E.g. `Nike`, `Adidas`, `Jordan`. ## `condition` (type: `string`): Filter by product condition. ## `minPrice` (type: `number`): Only emit products with lowest ask price >= this value. ## `maxPrice` (type: `number`): Only emit products with lowest ask price <= this value. ## `maxItems` (type: `integer`): Hard cap on emitted records. ## Actor input object example ```json { "mode": "search", "query": "Air Jordan 1", "slugs": [], "category": "shoes", "sort": "most_popular", "condition": "", "maxItems": 5 } ``` # Actor output Schema ## `records` (type: `string`): Dataset containing all scraped GOAT product listings. # 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": "search", "query": "Air Jordan 1", "slugs": [], "category": "shoes", "sort": "most_popular", "condition": "", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/goat-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": "search", "query": "Air Jordan 1", "slugs": [], "category": "shoes", "sort": "most_popular", "condition": "", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/goat-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": "search", "query": "Air Jordan 1", "slugs": [], "category": "shoes", "sort": "most_popular", "condition": "", "maxItems": 5 }' | apify call crawlerbros/goat-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/goat-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GOAT Sneaker Marketplace Scraper", "description": "Scrape GOAT (goat.com) the world's largest sneaker and streetwear resale marketplace. Search products, browse by category, fetch individual product details, or get trending items. Get prices, condition, colorways, brand, SKU, and marketplace statistics.", "version": "1.0", "x-build-id": "CFpHbgPv1tWaU3Qj3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~goat-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-goat-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~goat-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-goat-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~goat-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-goat-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "bySlug", "byCategory", "trending" ], "type": "string", "description": "What to scrape.", "default": "search" }, "query": { "title": "Search query (mode=search)", "type": "string", "description": "Keyword to search for. E.g. `Air Jordan 1`, `Yeezy 350`, `Nike Dunk`.", "default": "Air Jordan 1" }, "slugs": { "title": "Product slugs (mode=bySlug)", "type": "array", "description": "List of GOAT product slugs. E.g. `air-jordan-1-retro-high-og-chicago-2015`.", "default": [], "items": { "type": "string" } }, "category": { "title": "Category (mode=byCategory or filter)", "enum": [ "shoes", "apparel", "accessories" ], "type": "string", "description": "Product category to browse or filter by.", "default": "shoes" }, "sort": { "title": "Sort order", "enum": [ "most_popular", "lowest_price", "highest_price", "newest" ], "type": "string", "description": "How to sort results.", "default": "most_popular" }, "brand": { "title": "Brand filter", "type": "string", "description": "Filter results by brand name substring (case-insensitive). E.g. `Nike`, `Adidas`, `Jordan`." }, "condition": { "title": "Condition filter", "enum": [ "", "new_no_defects", "new_with_defects", "used" ], "type": "string", "description": "Filter by product condition.", "default": "" }, "minPrice": { "title": "Minimum price (USD)", "minimum": 0, "maximum": 99999, "type": "number", "description": "Only emit products with lowest ask price >= this value." }, "maxPrice": { "title": "Maximum price (USD)", "minimum": 0, "maximum": 99999, "type": "number", "description": "Only emit products with lowest ask price <= this value." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on emitted records.", "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 } } } } } } } } } } ```