# Zappos Scraper - Shoes & Fashion Product Search (`lulzasaur/zappos-scraper`) Actor

Export Zappos product listings with prices, ratings, review counts, brands, inventory and sale status. Search by keyword, then filter by brand, price range or sale status. Returns structured product records.

- **URL**: https://apify.com/lulzasaur/zappos-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 7 total users, 1 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?

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

## Zappos Scraper

Scrape product listings from Zappos.com (Amazon-owned shoes & fashion marketplace). Returns structured product data including prices, ratings, review counts, 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, review count, 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 counts

### Run results and diagnostics

The dataset contains result records only. Empty searches do not add an error row. If every request fails and no records can be returned, the run fails; partial data is retained with a partial-results status. Open **Run summary** for request failures and the returned record count.

# 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
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (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 = {};

// 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/KXJ9ZGDZNqwSI2GaS/openapi.json