# Ultimate Sneaker Database API (`dev00/sneaker-database-api`) Actor

Access over 251,787 sneakers. Filter by brand, color, size, gender, and pricing, with real-time SKUs and release details.

- **URL**: https://apify.com/dev00/sneaker-database-api.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 30 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 sneaker searches

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 👟 Ultimate Sneaker Database API

Access a massive, structured database of over **251,787 sneakers** instantly. Get detailed release info, historical and retail pricing, SKU numbers, available sizes, image links, and brand indexes programmatically.

This edge-optimized tool queries sneakers via an advanced App ID routing gateway, processes currency mappings, handles page pagination loops up to 250 items, records programmatic PPE charge units, and maps clean visual answers.

***

### 🌟 Key Features

- **Massive Sneaker Library**: Access 250k+ products including Air Jordans, Yeezys, Dunks, and designer footwear.
- **Granular Filtering**: Search by keyword, brand name, specific colorways, shoe sizes (US/EU), target gender, and discount states.
- **Multi-Currency Support**: Retrieve pricing formatted directly in USD ($), EUR (€), GBP (£), or JPY (¥).
- **Interactive Spreadsheet View**: Displays sneaker lists side-by-side with prices, SKUs, and target genders in a gorgeous table.
- **Pay-Per-Event PPE Monetization**: Highly cost-effective pricing model charging only for successful search lookups.

***

### 🛠️ How It Works

This Actor routes requests to an edge-deployed gateway, processes inputs and queries up to 250 records across paginated releases, cleans response arrays, registers programmatic charge event metrics, and outputs structured keys.

***

### 📥 Input Parameters

| Field | Type | Description | Prefill Example |
| :--- | :--- | :--- | :--- |
| **Search Query** | `string` | Search keyword (e.g., brand, silhouette, SKU). | `jordan` |
| **Brands Filter** | `string` | Filter by specific brand (e.g. `nike`, `adidas`). | `jordan` |
| **Color Filter** | `string` | Filter by colorway name (e.g. `red`, `black`). | `(optional)` |
| **Sizes Filter** | `string` | Filter by shoe size (e.g. `us10`, `eu42`). | `(optional)` |
| **Gender Filter** | `select` | Filter by target audience (men, women, kids, unisex). | `unisex` |
| **Only Items on Sale** | `boolean` | If enabled, only returns items that are discounted. | `false` |
| **Sort Results** | `select` | Sort results by price, release date, or popularity. | `Relevant` |
| **Result Limit** | `number` | Total sneaker listings to fetch. Max is 250. | `32` |
| **Currency Code** | `select` | The currency code for price parameters. | `usd` |

#### Input JSON Example

```json
{
  "q": "jordan",
  "limit": 32,
  "currency": "usd"
}
```

***

### 📤 Output Data Structure

Tabular datasets output clean rows mapping the account info:

#### Output JSON Example

```json
{
  "success": true,
  "brand": "Jordan",
  "name": "Air Jordan 1 Retro High OG 'Chicago'",
  "sku": "DZ5485-612",
  "price": 180,
  "sale_price": 149.99,
  "currency": "usd",
  "thumbnail_url": "https://img.sneakers123.com/...",
  "gender": ["men", "unisex"],
  "sizes_us": ["us8", "us9", "us10"],
  "sizes_eu": ["eu41", "eu42", "eu43"]
}
```

***

### 💳 Monetization & Cost

This Actor utilizes the **Pay-Per-Event (PPE)** pricing model on the Apify Store:

- **Base Pricing**: Only **$5.00 per 1,000 successful queries** (`$0.005` per event).
- **Pay as You Go**: If a query returns no results, no billing charges occur.

# Actor input Schema

## `q` (type: `string`):

Keyword to search (e.g. 'jordan', 'yeezy', 'dunk').

## `brands` (type: `string`):

Filter by brand name (e.g. 'nike', 'jordan', 'converse', 'adidas').

## `color` (type: `string`):

Filter by color (e.g. 'red', 'yellow', 'black').

## `sizes` (type: `string`):

Filter by specific size (e.g. 'eu22', 'us10').

## `gender` (type: `string`):

Filter by gender category.

## `discount_from` (type: `boolean`):

If enabled, only return sneakers that are currently on discount/sale.

## `sort` (type: `string`):

Sort ordering of the returned sneaker listings.

## `limit` (type: `integer`):

Total sneaker listings to fetch. Maximum is 250.

## `currency` (type: `string`):

Target currency code for price values.

## Actor input object example

```json
{
  "q": "jordan",
  "gender": "unisex",
  "discount_from": false,
  "sort": "Relevant",
  "limit": 32,
  "currency": "usd"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `keyValueStoreResult` (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 = {
    "q": "jordan",
    "gender": "unisex",
    "sort": "Relevant",
    "limit": 32,
    "currency": "usd"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/sneaker-database-api").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 = {
    "q": "jordan",
    "gender": "unisex",
    "sort": "Relevant",
    "limit": 32,
    "currency": "usd",
}

# Run the Actor and wait for it to finish
run = client.actor("dev00/sneaker-database-api").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 '{
  "q": "jordan",
  "gender": "unisex",
  "sort": "Relevant",
  "limit": 32,
  "currency": "usd"
}' |
apify call dev00/sneaker-database-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/sneaker-database-api"
        }
    }
}
```

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/bvY68XDEVFOiMkdXJ/builds/LeGYpezBvZgaJhOlx/openapi.json