# Grailed Scraper - Fashion Listings & Sold Prices (`jongoose/grailed-scraper`) Actor Scrape Grailed fashion listings and sold prices into structured data - designer/brand, category, size, condition, price (+ price-drop history), sold price, seller, location & photos. Search by keyword, paste Grailed URLs, or pull sold-item data for resale & pricing research. - **URL**: https://apify.com/jongoose/grailed-scraper.md - **Developed by:** [James Scott](https://apify.com/jongoose) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.20 / 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 ## Grailed Scraper - Fashion Listings & Sold Prices Scrape **fashion listings and sold prices from [Grailed](https://www.grailed.com)** into clean, structured data - no Grailed account or API key required. Search by keyword, paste Grailed URLs, or pull **sold-item data with final sold prices** for resale and pricing research. ### What you get (per listing) - **Stable listing id** and canonical `grailed.com/listings/{id}` URL - **Title**, **designer / brand**, category & full category path, department (Menswear / Womenswear) - **Size**, **condition** (New/Never Worn, Gently Used, Used, Very Worn), color, styles - **Price**, **original price** and full **price-drop history** - **Sold status**, **sold price**, and sold date (populated on the "Sold" datasets) - **Seller** username, rating and trusted-seller flag; item **location** - **Cover photo** URL, photo count, follower count, "heat", badges, buy-now / make-offer flags, created-at timestamp ### Input - **Grailed URLs** *(optional)* - paste search / designer / category URLs; a keyword is derived from each URL's `?query=` param or last path segment (e.g. `/designers/nike` -> `nike`). - **Search keyword** *(optional)* - e.g. `nike`, `supreme box logo`, `maison margiela boots`. Leave everything empty to browse the whole feed. - **Sort / dataset** - Relevance, Newest, Price low/high, Most popular, or a **Sold** option (Sold items / Sold price high-low / low-high) to get final sold prices. - **Max listings** - caps the run. - **Proxy** - Apify default datacenter proxy is sufficient. #### Example input ```json { "query": "nike", "sort": "sold", "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true } } ```` Or paste URLs directly: ```json { "startUrls": [{ "url": "https://www.grailed.com/designers/nike" }], "sort": "newest", "maxItems": 100 } ``` ### Why this actor - **Reads Grailed's own Algolia search backend**, not fragile CSS selectors - every field comes straight from structured JSON, so records are complete and the parser survives site redesigns. - **Sold prices included:** the dedicated Sold datasets expose final sold prices and dates - the data resellers actually need for pricing. - **Fast + cheap:** listings are read in bulk pages with no per-listing detail requests, and it runs on Apify's default datacenter proxy (no pricey residential proxy). - **Clean, paginating output:** de-duplicated by stable listing id, UTF-8 normalized, numbers coerced. Export as JSON, CSV, or Excel, or pull via the API. Great for resellers, sneaker/streetwear flippers, and analysts doing **price research, sold-comps analysis, and inventory monitoring**. This is public marketplace data for research; it is not a consumer report and must not be used for FCRA-covered purposes. # Actor input Schema ## `startUrls` (type: `array`): Optional. Paste one or more Grailed URLs (search, designer, or category pages). A keyword is derived from each URL's ?query= parameter or its last path segment (e.g. /designers/nike -> "nike"). Leave empty to search by the Keyword below, or to browse the whole feed. ## `query` (type: `string`): Keyword to search Grailed for, e.g. "nike", "supreme box logo", or "maison margiela boots". Leave empty (and provide no URLs) to browse the entire feed for the chosen sort order. ## `sort` (type: `string`): Which Grailed index to read. Pick a 'Sold' option to scrape sold listings with their final sold prices - ideal for resale & pricing research. ## `maxItems` (type: `integer`): Stop after collecting this many listings. ## `proxyConfiguration` (type: `object`): Grailed's Algolia search works fine through Apify's default (datacenter) proxy - no residential proxy needed. ## Actor input object example ```json { "startUrls": [], "query": "nike", "sort": "relevance", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [], "query": "nike" }; // Run the Actor and wait for it to finish const run = await client.actor("jongoose/grailed-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 = { "startUrls": [], "query": "nike", } # Run the Actor and wait for it to finish run = client.actor("jongoose/grailed-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 '{ "startUrls": [], "query": "nike" }' | apify call jongoose/grailed-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jongoose/grailed-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grailed Scraper - Fashion Listings & Sold Prices", "description": "Scrape Grailed fashion listings and sold prices into structured data - designer/brand, category, size, condition, price (+ price-drop history), sold price, seller, location & photos. Search by keyword, paste Grailed URLs, or pull sold-item data for resale & pricing research.", "version": "0.1", "x-build-id": "6RQ94GsO7Vxzid2xa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jongoose~grailed-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jongoose-grailed-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jongoose~grailed-scraper/runs": { "post": { "operationId": "runs-sync-jongoose-grailed-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jongoose~grailed-scraper/run-sync": { "post": { "operationId": "run-sync-jongoose-grailed-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Grailed URLs", "type": "array", "description": "Optional. Paste one or more Grailed URLs (search, designer, or category pages). A keyword is derived from each URL's ?query= parameter or its last path segment (e.g. /designers/nike -> \"nike\"). Leave empty to search by the Keyword below, or to browse the whole feed.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "query": { "title": "Search keyword", "type": "string", "description": "Keyword to search Grailed for, e.g. \"nike\", \"supreme box logo\", or \"maison margiela boots\". Leave empty (and provide no URLs) to browse the entire feed for the chosen sort order." }, "sort": { "title": "Sort / dataset", "enum": [ "relevance", "newest", "price_low", "price_high", "most_popular", "sold", "sold_price_high", "sold_price_low" ], "type": "string", "description": "Which Grailed index to read. Pick a 'Sold' option to scrape sold listings with their final sold prices - ideal for resale & pricing research.", "default": "relevance" }, "maxItems": { "title": "Max listings", "minimum": 1, "type": "integer", "description": "Stop after collecting this many listings.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Grailed's Algolia search works fine through Apify's default (datacenter) proxy - no residential proxy needed.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```