# 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 - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 sneaker searches 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/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 ## 👟 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** (`$0.005` per event). - **Pay as You Go**: If a query returns no results, no billing charges occur. # Actor input Schema ## `q` (type: `string`): Keyword to search (e.g. 'jordan', 'yeezy', 'dunk'). ## `brands` (type: `string`): Filter by brand name (e.g. 'nike', 'jordan', 'converse', 'adidas'). ## `color` (type: `string`): Filter by color (e.g. 'red', 'yellow', 'black'). ## `sizes` (type: `string`): Filter by specific size (e.g. 'eu22', 'us10'). ## `gender` (type: `string`): Filter by gender category. ## `discount_from` (type: `boolean`): If enabled, only return sneakers that are currently on discount/sale. ## `sort` (type: `string`): Sort ordering of the returned sneaker listings. ## `limit` (type: `integer`): Total sneaker listings to fetch. Maximum is 250. ## `currency` (type: `string`): Target currency code for price values. ## Actor input object example ```json { "q": "jordan", "gender": "unisex", "discount_from": false, "sort": "Relevant", "limit": 32, "currency": "usd" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "q": "jordan", "gender": "unisex", "sort": "Relevant", "limit": 32, "currency": "usd" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/sneaker-database-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # 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("💾 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 '{ "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": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/sneaker-database-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ultimate Sneaker Database API", "description": "Access over 251,787 sneakers. Filter by brand, color, size, gender, and pricing, with real-time SKUs and release details.", "version": "1.0", "x-build-id": "LeGYpezBvZgaJhOlx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~sneaker-database-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-sneaker-database-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~sneaker-database-api/runs": { "post": { "operationId": "runs-sync-dev00-sneaker-database-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~sneaker-database-api/run-sync": { "post": { "operationId": "run-sync-dev00-sneaker-database-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "q": { "title": "Search Query", "type": "string", "description": "Keyword to search (e.g. 'jordan', 'yeezy', 'dunk')." }, "brands": { "title": "Brands Filter", "type": "string", "description": "Filter by brand name (e.g. 'nike', 'jordan', 'converse', 'adidas')." }, "color": { "title": "Color Filter", "type": "string", "description": "Filter by color (e.g. 'red', 'yellow', 'black')." }, "sizes": { "title": "Sizes Filter", "type": "string", "description": "Filter by specific size (e.g. 'eu22', 'us10')." }, "gender": { "title": "Gender Filter", "enum": [ "men", "women", "kids", "unisex" ], "type": "string", "description": "Filter by gender category.", "default": "unisex" }, "discount_from": { "title": "Only Items on Sale", "type": "boolean", "description": "If enabled, only return sneakers that are currently on discount/sale.", "default": false }, "sort": { "title": "Sort Results", "enum": [ "Relevant", "latest", "low", "high" ], "type": "string", "description": "Sort ordering of the returned sneaker listings.", "default": "Relevant" }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 250, "type": "integer", "description": "Total sneaker listings to fetch. Maximum is 250.", "default": 32 }, "currency": { "title": "Currency Code", "enum": [ "usd", "eur", "gbp", "jpy" ], "type": "string", "description": "Target currency code for price values.", "default": "usd" } } }, "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 } } } } } } } } } } ```