# 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
- **Features:** Limited permissions
- **Stats:** 8 total users, 2 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jongoose/grailed-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sjqZe4AhTwpfyU81g/builds/6RQ94GsO7Vxzid2xa/openapi.json