# Zappos Scraper - Shoes & Fashion Product Search (`lulzasaur/zappos-scraper`) Actor Scrape Zappos product listings. Get prices, ratings, reviews, brands, inventory, sale status. Search any shoe or fashion category. Structured JSON output. - **URL**: https://apify.com/lulzasaur/zappos-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/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 ## Zappos Scraper Scrape product listings from Zappos.com (Amazon-owned shoes & fashion marketplace). Returns structured product data including prices, ratings, reviews, brands, inventory status, sale info, and images. ### Features - **100 products per page** — Zappos returns 100 results per search page - **Rich product data** — brand, name, price, original price, discount %, sale status, rating, reviews, inventory count, color, gender, product type - **Client-side filters** — filter by brand, price range, or sale-only items - **Pagination** — automatically pages through results up to your maxResults limit - **High-resolution images** — full product image URLs from Amazon CDN ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `query` | string | `"running shoes"` | Search term | | `maxResults` | integer | `100` | Max products to return (1-1000) | | `brand` | string | | Filter by brand name (case-insensitive) | | `minPrice` | number | | Minimum price filter | | `maxPrice` | number | | Maximum price filter | | `onSaleOnly` | boolean | `false` | Only return sale items | | `proxyConfiguration` | object | | Optional proxy | ### Output Each product includes: ```json { "productId": "10015354", "styleId": "6584829", "colorId": 13797, "brandName": "Nike", "productName": "Air Zoom Pegasus 40", "price": "$129.99", "priceNum": 129.99, "originalPrice": "$159.99", "originalPriceNum": 159.99, "percentOff": "19%", "onSale": true, "rating": 4.5, "reviewCount": 238, "color": "Black/White", "styleColor": "Black/White", "productType": "Shoes", "gender": "Men", "onHand": 42, "isNew": false, "isLowStock": false, "badges": [], "imageUrl": "https://m.media-amazon.com/images/I/...", "url": "https://www.zappos.com/p/nike-air-zoom-pegasus-40/product/...", "searchQuery": "running shoes", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### How It Works 1. Fetches the Zappos search page for your query 2. Extracts the `window.__INITIAL_STATE__` JSON embedded in the server-rendered HTML 3. Parses the product list (100 per page) from the state object 4. Applies any client-side filters (brand, price, sale) 5. Paginates until maxResults is reached or no more results 6. Pushes all results to the Apify dataset ### Use Cases - **Price monitoring** — track shoe/fashion prices over time - **Brand analysis** — compare product counts, ratings, pricing across brands - **Sale tracking** — find the best deals with onSaleOnly filter - **Inventory monitoring** — track stock levels via onHand field - **Market research** — analyze product categories, pricing distributions, review sentiment # Actor input Schema ## `query` (type: `string`): Search term (e.g. 'running shoes', 'boots', 'sandals', 'nike'). ## `maxResults` (type: `integer`): Maximum number of products to return. Each page has 100 results. ## `brand` (type: `string`): Filter results to only this brand (case-insensitive, e.g. 'Nike', 'Adidas'). ## `minPrice` (type: `number`): Minimum price filter (e.g. 50). ## `maxPrice` (type: `number`): Maximum price filter (e.g. 200). ## `onSaleOnly` (type: `boolean`): Only return products that are currently on sale. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "query": "running shoes", "maxResults": 100, "brand": "", "onSaleOnly": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/zappos-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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/zappos-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 '{}' | apify call lulzasaur/zappos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/zappos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zappos Scraper - Shoes & Fashion Product Search", "description": "Scrape Zappos product listings. Get prices, ratings, reviews, brands, inventory, sale status. Search any shoe or fashion category. Structured JSON output.", "version": "1.0", "x-build-id": "GtLtpdnxo0eTHm5RY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~zappos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-zappos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~zappos-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-zappos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~zappos-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-zappos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Search term (e.g. 'running shoes', 'boots', 'sandals', 'nike').", "default": "running shoes" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to return. Each page has 100 results.", "default": 100 }, "brand": { "title": "Brand Filter", "type": "string", "description": "Filter results to only this brand (case-insensitive, e.g. 'Nike', 'Adidas').", "default": "" }, "minPrice": { "title": "Min Price ($)", "type": "number", "description": "Minimum price filter (e.g. 50)." }, "maxPrice": { "title": "Max Price ($)", "type": "number", "description": "Maximum price filter (e.g. 200)." }, "onSaleOnly": { "title": "On Sale Only", "type": "boolean", "description": "Only return products that are currently on sale.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```