# Grailed Sold Listings Scraper (resale price & markdown) (`weltverbenzer/grailed-sold-listings-scraper`) Actor Scrapes Grailed SOLD listings for any search term: real sold price, original price, markdown %, price-drop history, designer, size, condition and URL. For resellers, repricing tools and market research. - **URL**: https://apify.com/weltverbenzer/grailed-sold-listings-scraper.md - **Developed by:** [Johannes Witt](https://apify.com/weltverbenzer) (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 usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Sold Listings Scraper — resale price, markdown & price history Get the data resellers actually need: **real SOLD prices on Grailed** — plus the original list price, the **markdown %**, the **price-drop history**, designer, size and condition. Perfect for **sold comps, resale price research, repricing and sourcing** in menswear, streetwear and designer fashion. For any search term, this Grailed scraper returns per sold item: **title, designer, sold price, original price, markdown %, size, condition, sold date and listing URL** — clean JSON or CSV. ### Who it's for - **Resellers, flippers & thrifters** answering "what does this actually sell for on Grailed, and at what discount?" - **Repricing, sourcing & inventory tools** needing *realized* resale prices (sold comps), not asking prices. - **Brand & market researchers** tracking secondhand demand, designer price trends and discount depth. ### What you can do with it - Pull **sold comps** for any designer, item or keyword (e.g. `rick owens`, `carhartt jacket`, `nike vomero`). - See the **true sell-through price** and the **markdown %** (original vs. sold) per item. - Get an outlier-trimmed **median sold price** to benchmark your own pricing fast. - Feed realized prices into your repricing, sourcing or analytics pipeline via JSON/CSV/API. ### Output (example record) ```json { "title": "VINTAGE Carhartt Jacket XL Black", "designer": "Carhartt", "soldPrice": 157, "originalPrice": 225, "markdownPct": 30.2, "size": "xl", "condition": "is_used", "soldAt": "2026-05-30T21:52:02.865Z", "url": "https://www.grailed.com/listings/97686365" } ```` A `SUMMARY` record adds `soldMedianPrice` (outlier-trimmed) and `medianMarkdownPct`. ### Input | Field | Description | |-------|-------------| | `query` | Search term, e.g. `rick owens`, `carhartt jacket`, `nike vomero` | | `maxResults` | Max sold listings to return (1–2000) | ### Pricing Pay-per-result — you only pay for the sold listings actually returned. Platform compute usage is included. ### Notes Returns publicly visible sold-listing data from Grailed's public search. Use responsibly and within Grailed's terms. # Actor input Schema ## `query` (type: `string`): What to look up among SOLD Grailed listings, e.g. 'nike vomero', 'carhartt jacket', 'rick owens'. ## `maxResults` (type: `integer`): Maximum sold listings to return. ## Actor input object example ```json { "query": "nike", "maxResults": 100 } ``` # 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 = { "query": "nike" }; // Run the Actor and wait for it to finish const run = await client.actor("weltverbenzer/grailed-sold-listings-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 = { "query": "nike" } # Run the Actor and wait for it to finish run = client.actor("weltverbenzer/grailed-sold-listings-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 '{ "query": "nike" }' | apify call weltverbenzer/grailed-sold-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=weltverbenzer/grailed-sold-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grailed Sold Listings Scraper (resale price & markdown)", "description": "Scrapes Grailed SOLD listings for any search term: real sold price, original price, markdown %, price-drop history, designer, size, condition and URL. For resellers, repricing tools and market research.", "version": "0.1", "x-build-id": "YMcqZOsJK0plzIZWd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/weltverbenzer~grailed-sold-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-weltverbenzer-grailed-sold-listings-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/weltverbenzer~grailed-sold-listings-scraper/runs": { "post": { "operationId": "runs-sync-weltverbenzer-grailed-sold-listings-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/weltverbenzer~grailed-sold-listings-scraper/run-sync": { "post": { "operationId": "run-sync-weltverbenzer-grailed-sold-listings-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": [ "query" ], "properties": { "query": { "title": "Search term", "type": "string", "description": "What to look up among SOLD Grailed listings, e.g. 'nike vomero', 'carhartt jacket', 'rick owens'." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum sold listings to return.", "default": 100 } } }, "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 } } } } } } } } } } ```