# Grailed Scraper (`aurenic/grailed-scraper`) Actor

Extract designer and streetwear listings from Grailed — active and sold — with prices, seller info, and direct URLs.

- **URL**: https://apify.com/aurenic/grailed-scraper.md
- **Developed by:** [Aurenic](https://apify.com/aurenic) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 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

Extract designer and streetwear resale listings from Grailed — active and sold — with prices, seller info, and direct URLs.

### What does Grailed Scraper do?

Scrape listing data from Grailed via the public Algolia search API. Search any keyword, filter by designer or category, and get structured data ready for resale comps, arbitrage analysis, brand research, and price monitoring.

Uses the Algolia API directly — no browser, no Cloudflare bypass, no proxy required.

### Output fields

| Field | Description |
|---|---|
| listing\_id | Grailed listing ID |
| title | Listing title |
| designer | Designer/brand name |
| category | Top-level category |
| sub\_category | Sub-category |
| department | menswear or womenswear |
| size | Item size |
| condition | Item condition |
| price | Asking price (USD) |
| original\_price | Original retail price (USD) |
| sold | Whether listing sold |
| sold\_price | Confirmed sold price (sold listings only) |
| sold\_at | Sold timestamp |
| seller\_username | Seller's username |
| seller\_score | Seller rating (0–5) |
| seller\_reviews | Number of seller ratings |
| location | Seller location |
| listing\_url | Direct URL to listing |
| photo\_url | Primary photo URL |
| images | Array of image URLs |
| promoted | Whether listing is promoted |
| created\_at | Creation timestamp |
| updated\_at | Last update timestamp |
| scrapedAt | ISO scrape timestamp |

### Who is it for?

- **Resellers** finding comparable sales for pricing decisions
- **Arbitrage hunters** spotting mispriced items across markets
- **Brand analysts** tracking secondary market demand
- **Market researchers** analyzing streetwear/luxury trends
- **Data scientists** building fashion resale datasets

### Pricing

**$0.0012 per result** ($1.20 per 1,000 results). No subscription.

| Results | Cost |
|---|---|
| 100 | $0.12 |
| 1,000 | $1.20 |
| 10,000 | $12.00 |

### How to use it

1. Enter a **Search Query** (e.g., "nike vintage jacket").
2. Optionally filter by designer or category.
3. Optionally enable **Include Sold Listings** to get confirmed sold prices.
4. Set **Max Items** (default 100).
5. Click **Start**.

### Output example

```json
{
  "listing_id": "68312345",
  "title": "Supreme Box Logo Hoodie FW22 Black",
  "designer": "Supreme",
  "category": "tops",
  "sub_category": "hoodies",
  "department": "menswear",
  "size": "L",
  "condition": "is_gently_used",
  "price": 450,
  "original_price": 158,
  "sold": false,
  "sold_price": null,
  "seller_username": "hypebeast_nyc",
  "seller_score": 4.9,
  "seller_reviews": 312,
  "location": "United States",
  "listing_url": "https://www.grailed.com/listings/68312345",
  "photo_url": "https://media-assets.grailed.com/...",
  "promoted": false,
  "created_at": "2026-09-10T12:00:00.000Z",
  "scrapedAt": "2026-09-17T10:00:00.000Z"
}

```

### Technical details

- Uses the **Algolia search API directly** — no browser, no Cloudflare bypass
- Self-healing: fetches fresh Algolia key on every run from Grailed homepage
- No proxy required — Algolia accepts datacenter IPs
- Fast: ~100 hits per page, ~200ms between pages
- Max 500 pages × 100 hits = 50,000 results per query

### FAQ

**Do I need a proxy?** No. Grailed's Algolia endpoint has no Cloudflare protection.

**Can I get sold prices?** Yes — enable **Include Sold Listings** to query the sold index.

**Does the Algolia key rotate?** Yes, but the Actor fetches a fresh key from Grailed's homepage on every run.

**How do I export data?** After a run, go to Storage → Export as JSON, CSV, Excel, or XML.

### Support

Open an issue on the Actor's page for bugs or feature requests.

# Actor input Schema

## `searchQuery` (type: `string`):

Keyword(s) to search Grailed listings (e.g., 'nike vintage jacket')

## `maxItems` (type: `integer`):

Maximum listings to extract.

## `designerFilter` (type: `string`):

Filter by designer/brand name (partial, case-insensitive). Optional.

## `categoryFilter` (type: `string`):

Filter by category (e.g., outerwear, footwear, tops). Optional.

## `includeSold` (type: `boolean`):

Include sold listings with confirmed sold prices.

## Actor input object example

```json
{
  "searchQuery": "supreme",
  "maxItems": 100,
  "includeSold": false
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "supreme"
};

// Run the Actor and wait for it to finish
const run = await client.actor("aurenic/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 = { "searchQuery": "supreme" }

# Run the Actor and wait for it to finish
run = client.actor("aurenic/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 '{
  "searchQuery": "supreme"
}' |
apify call aurenic/grailed-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aurenic/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/6gHAa4RJqz82eDogs/builds/t3LFLlVH94WBpGZYb/openapi.json