# Grailed Resale Listings Scraper (`jungle_synthesizer/grailed-resale-listings-scraper`) Actor Scrape Grailed designer and streetwear resale listings — active and SOLD — via the Algolia search API. Returns full listing data including sold price, seller score, original price, and arbitrage-ready comparables. - **URL**: https://apify.com/jungle\_synthesizer/grailed-resale-listings-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Grailed Resale Listings Scraper Scrape Grailed designer and streetwear resale listings — both **active** and **SOLD** — via the Algolia search API. Returns full listing data including sold price, seller score, original retail price, and arbitrage-ready comparables. ### What it does This actor queries Grailed's Algolia search index directly, giving you fast and complete listing data without relying on rendered HTML. Each run: 1. Fetches live Algolia credentials from the Grailed page (the search key rotates — hardcoded keys don't work) 2. Pages through active listings in the `Listing_production` Algolia index 3. Optionally pages through sold listings in the `Listing_sold_production` index 4. Returns structured records with all fields needed for resale comps and arbitrage analysis ### Use cases - **Resale comps**: filter by designer and category to see what items actually sold for vs. asking price - **Brand arbitrage**: track original retail price vs. resale price across brands and categories - **Inventory research**: survey active listings for a designer or category to understand market depth and pricing - **Seller intelligence**: combine seller score and total transactions to identify top-rated sellers ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `category` | string | one of these | Grailed category slug (e.g. `outerwear`, `tops`, `bottoms`, `footwear`, `accessories`) | | `designer` | string | one of these | Designer / brand name (e.g. `Supreme`, `Rick Owens`, `Comme des Garcons`) | | `includeSold` | boolean | no | Include SOLD listings (default: `true`) | | `maxItems` | integer | no | Max total listings to return. `0` = no limit (default: `0`) | Either `category` or `designer` (or both) must be provided. **Example — sold Supreme outerwear comps:** ```json { "category": "outerwear", "designer": "Supreme", "includeSold": true, "maxItems": 500 } ```` **Example — all active outerwear listings:** ```json { "category": "outerwear", "includeSold": false } ``` ### Output Each record contains: | Field | Description | |-------|-------------| | `listing_id` | Grailed listing ID | | `title` | Listing title | | `designer` | Brand or designer name | | `department` | `menswear` or `womenswear` | | `category` | Top-level category (e.g. `outerwear`) | | `sub_category` | Sub-category (e.g. `parkas`) | | `size` | Item size | | `condition` | Condition string (e.g. `is_gently_used`) | | `price` | Asking price in USD | | `original_price` | Original retail price in USD | | `sold` | `true` if the listing has sold | | `sold_price` | Final sold price in USD (sold listings only) | | `sold_at` | ISO-8601 timestamp when sold | | `seller_username` | Grailed username of the seller | | `seller_score` | Seller rating average (0–5) | | `location` | Seller's country | | `listing_url` | Full URL to the listing on Grailed | | `photo_url` | Primary listing photo URL | | `created_at` | When the listing was created | | `updated_at` | When the listing was last updated | | `scrapedAt` | ISO-8601 scrape timestamp | ### Performance and limits - **Speed**: ~1000 listings/page, ~200ms between pages — expect ~5-10k listings/minute - **Memory**: 256 MB (no browser, pure JSON API) - **Algolia limits**: Max 500 pages x 1000 hits = 500k results per query. For categories with more than 500k listings, use designer + category filters together to scope queries under that limit. - **Proxy**: No proxy required — direct HTTP + impit TLS fingerprint works. DataImpulse residential 403s on Grailed. ### Notes - Grailed's Algolia search key rotates. The actor extracts the live key from the page on each run — do not attempt to hardcode credentials. - Sold listings data is only available for items sold through the Grailed platform. - The `original_price` field is populated only when the seller entered it manually. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `category` (type: `string`): Grailed category slug to scrape (e.g. 'outerwear', 'tops', 'bottoms', 'footwear'). Leave blank to scrape all categories. ## `designer` (type: `string`): Filter by designer name (e.g. 'Supreme', 'Rick Owens'). Leave blank for all designers. ## `includeSold` (type: `boolean`): When enabled, fetches SOLD listings in addition to active ones. Sold data includes sold\_price and sold\_at for comp analysis. ## `maxItems` (type: `integer`): Maximum total number of listings to return (across active + sold). 0 = no limit. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "outerwear", "includeSold": true, "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "outerwear", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/grailed-resale-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "outerwear", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/grailed-resale-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "category": "outerwear", "maxItems": 10 }' | apify call jungle_synthesizer/grailed-resale-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/grailed-resale-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grailed Resale Listings Scraper", "description": "Scrape Grailed designer and streetwear resale listings — active and SOLD — via the Algolia search API. Returns full listing data including sold price, seller score, original price, and arbitrage-ready comparables.", "version": "0.1", "x-build-id": "V2Z8gvrLW0kQZGXHy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~grailed-resale-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-grailed-resale-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/jungle_synthesizer~grailed-resale-listings-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-grailed-resale-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/jungle_synthesizer~grailed-resale-listings-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-grailed-resale-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", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "category": { "title": "Category", "type": "string", "description": "Grailed category slug to scrape (e.g. 'outerwear', 'tops', 'bottoms', 'footwear'). Leave blank to scrape all categories." }, "designer": { "title": "Designer / Brand", "type": "string", "description": "Filter by designer name (e.g. 'Supreme', 'Rick Owens'). Leave blank for all designers." }, "includeSold": { "title": "Include Sold Listings", "type": "boolean", "description": "When enabled, fetches SOLD listings in addition to active ones. Sold data includes sold_price and sold_at for comp analysis.", "default": true }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum total number of listings to return (across active + sold). 0 = no limit.", "default": 0 } } }, "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 } } } } } } } } } } ```