# 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:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(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 '{}' |
apify call lulzasaur/zappos-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/zappos-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/bf5rs0QweexYIGa22/builds/GtLtpdnxo0eTHm5RY/openapi.json