# Zappos Scraper - Shoe & Apparel Product Data (`logiover/zappos-product-scraper`) Actor

Scrape Zappos category and search pages in bulk. Extract product name, brand, price, original price, discount, colour, rating, review count, stock level and image URLs to CSV/JSON. No API key, no login.

- **URL**: https://apify.com/logiover/zappos-product-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 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.
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?

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 - Shoe & Apparel Product Data

![Apify Actor](https://img.shields.io/badge/Apify-Actor-00A67E?logo=apify\&logoColor=white) ![No API key](https://img.shields.io/badge/No%20API%20key-required-2ea44f) ![Pay per result](https://img.shields.io/badge/Pricing-Pay%20per%20result-1C7ED6) ![Export](https://img.shields.io/badge/Export-JSON%20%7C%20CSV%20%7C%20Excel-F59E0B)

**Scrape Zappos category and search pages in bulk. Extract product name, brand, price, original price, discount, colour, rating, review count, stock level and image URLs to CSV/JSON. No API key, no login.**

***

### What does the Zappos Scraper do?

This Actor turns any Zappos search into a structured dataset. You give it by category URL or by keyword, it walks the result pages one after another, and it writes one clean row per product into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

Zappos ships its search results as a hydrated `__INITIAL_STATE__` payload in the page HTML. The Actor parses that state object, so every field the site renders is available without running a browser. Pagination is followed automatically until it runs out of results, hits your page limit or hits your **Max items** cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same product.

There is **no API key, no login and no browser** involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

### Who is it for?

- **Footwear and apparel buyers** benchmarking assortment and price architecture.
- **Brand managers** monitoring how their products are merchandised and discounted.
- **Competitive-intelligence analysts** tracking a rival's catalogue depth by brand.
- **Repricing teams** that need current US retail prices with discount percentages.
- **Data teams** assembling product-catalogue datasets for search or recommendation models.

### Use cases

- Export an entire Zappos category with brand, price and discount for assortment analysis.
- Track how deeply a brand is discounted across a season.
- Build a brand-by-brand price ladder for a footwear category.
- Monitor review counts and ratings as a demand signal per style.
- Assemble a labelled product-image dataset with colour and category metadata.

### Why use this Zappos Scraper?

- 🔑 **Keyless** — no account, no API token, no cookies to paste.
- 📦 **21 fields per product** — everything the result page exposes, already typed.
- 📄 **Real pagination** — it walks page after page instead of returning the first screen.
- 🎯 **Precise caps** — **Max items** stops the run exactly where you want it, so the bill is predictable.
- 📊 **Export anywhere** — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
- 💸 **Pay per result** — you pay for rows you actually receive, with no platform fees to calculate.

### What data can you extract?

Every run produces one row per product, with these fields:

| Field | Type | Description |
|-------|------|-------------|
| `productId` | string | Zappos product ID |
| `styleId` | string | Style ID for the specific colourway |
| `productName` | string | Product name |
| `brandName` | string | Brand name |
| `productType` | string | Product category, e.g. Shoes |
| `price` | number | Current price as a number |
| `priceFormatted` | string | Current price as displayed |
| `originalPrice` | number | List price before discount |
| `percentOff` | number | Discount percentage |
| `onSale` | boolean | Whether the item is currently discounted |
| `color` | string | Colour name of the variant |
| `styleColor` | string | Full colourway description |
| `rating` | number | Average product rating |
| `reviewCount` | number | Number of customer reviews |
| `stockOnHand` | number | Units on hand when exposed by the site |
| `isNew` | boolean | Whether Zappos flags the item as new |
| `imageUrl` | string | Main product image URL |
| `productUrl` | string | Canonical product page URL |
| `sourceUrl` | string | Category or search URL this row came from |
| `page` | number | Result page the product appeared on |
| `scrapedAt` | string | ISO timestamp of extraction |

#### Output example

```json
{
  "productId": "10064056",
  "styleId": "6723789",
  "productName": "All-Pro Nitro 2 Basketball Shoes",
  "brandName": "PUMA",
  "productType": "Shoes",
  "price": 135,
  "priceFormatted": "$135.00",
  "originalPrice": 135,
  "percentOff": 0,
  "onSale": false,
  "color": "Multi",
  "styleColor": "Sea Illusion/Nitro Blue/Intense Mint",
  "rating": 0,
  "reviewCount": 0,
  "stockOnHand": 95,
  "isNew": false,
  "imageUrl": "https://m.media-amazon.com/images/I/81PBUITDHQL._AC_SR255,340_.jpg",
  "productUrl": "https://www.zappos.com/p/puma-all-pro-nitro-2/product/10064056",
  "sourceUrl": "https://www.zappos.com/men-shoes",
  "page": 1,
  "scrapedAt": "2026-09-11T08:40:12.004Z"
}
```

### How to use

#### Option A — by category URL

```json
{
  "startUrls": [
    {
      "url": "https://www.zappos.com/men-shoes"
    }
  ],
  "maxPagesPerSearch": 20,
  "maxItems": 2000
}
```

1. Open the Actor and fill in the category URL field.
2. Set **Max pages per search** and **Max items** to bound the run.
3. Click **Start**, then export from the **Output** tab.

#### Option B — by keyword

```json
{
  "searchTerms": [
    "running shoes",
    "winter boots"
  ],
  "maxPagesPerSearch": 10,
  "maxItems": 1000
}
```

Paste one or more Zappos URLs into **Start URLs** and the Actor paginates each of them independently.

### Input parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `startUrls` | array | `–` | Zappos category or search URLs, e. |
| `searchTerms` | array | `[]` | Keywords to search on Zappos when you have no category URL. |
| `maxPagesPerSearch` | integer | `5` | How many result pages to walk for each search. |
| `maxItems` | integer | `500` | Stop after this many products. |
| `maxConcurrency` | integer | `4` | Parallel requests. |
| `proxyConfiguration` | object | `{"useApifyProxy": true}` | Proxy used to fetch pages. |

### Tips for best results

- Category URLs such as `/men-shoes` or `/women-clothing` return far more rows than keyword searches.
- Zappos serves 100 products per page, so a 20-page run yields roughly 2,000 rows.
- Use **Max items** to cap the bill precisely; the Actor stops the moment the cap is reached.
- `percentOff` is populated only for discounted items — zero means full price, not missing data.
- `stockOnHand` is exposed for many styles but not all; treat nulls as unknown rather than zero.
- The same product appears once per colourway; de-duplicate on `productId` if you want one row per style.
- Schedule a weekly run on the same category to build a discount-history dataset.
- Keep **Max concurrency** modest — Zappos throttles bursts of parallel requests.
- Combine brand filtering in the URL with a high page count for deep single-brand exports.
- Pair with the AliExpress scraper to compare branded retail against marketplace pricing.

### Integrations

Send results straight into the tools you already use: **Google Sheets**, **Slack**, **Zapier**, **Make**, **Airtable** or any **Webhook**. You can also **schedule** the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

### API usage

Run the Actor and collect results from any language. Replace `<YOUR_TOKEN>` with your Apify API token.

**cURL**

```bash
curl -X POST "https://api.apify.com/v2/acts/logiover~zappos-product-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": [{"url": "https://www.zappos.com/men-shoes"}], "maxPagesPerSearch": 20, "maxItems": 2000}'
```

**Node.js**

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/zappos-product-scraper').call({"startUrls": [{"url": "https://www.zappos.com/men-shoes"}], "maxPagesPerSearch": 20, "maxItems": 2000});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/zappos-product-scraper').call(run_input={"startUrls": [{"url": "https://www.zappos.com/men-shoes"}], "maxPagesPerSearch": 20, "maxItems": 2000})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

### Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at `https://mcp.apify.com` and it can run the Zappos Scraper on demand — for example: *"Pull the first 500 products from Zappos and summarise the price distribution."* The agent receives the same structured rows you would get from the UI.

### FAQ

#### Do I need a Zappos account or API key?

No. The Actor reads publicly available pages only. There is nothing to authenticate and no credentials to rotate.

#### How many products can I get in one run?

As many as the search exposes. Raise **Max pages per search** and **Max items** together; the run stops at whichever limit it reaches first.

#### Why did I get fewer rows than I asked for?

The search ran out of products. That is normal for narrow queries — broaden the search or add more searches to one run.

#### Are results de-duplicated?

Yes. Each product is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

#### Why are some fields empty?

Zappos does not publish every attribute for every product. Empty means the source did not show it, not that extraction failed.

#### What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the **Output** tab, plus the Apify API and any integration you connect.

#### How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise **Max concurrency** carefully — the source rate-limits aggressive crawling.

#### Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

#### Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in **Proxy configuration**.

#### How often does the data change?

Zappos updates continuously. Re-run whenever you need current data; the Actor always reads the live pages, never a cache.

#### Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

#### What if the site changes its layout?

Open an issue on the **Issues** tab and it gets fixed. The Actor is actively maintained.

### Is it legal?

This Actor reads only publicly available pages on Zappos — the same content any visitor sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

### Related scrapers

- [AliExpress Scraper](https://apify.com/logiover/aliexpress-product-scraper) — Marketplace pricing for the same categories
- [Newegg Scraper](https://apify.com/logiover/newegg-scraper) — Electronics catalogue data
- [Amazon Product Scraper](https://apify.com/logiover/amazon-product-scraper) — Amazon listings and pricing
- [Poshmark Scraper](https://apify.com/logiover/poshmark-scraper) — Resale pricing for fashion

# Actor input Schema

## `startUrls` (type: `array`):

Zappos category or search URLs, e.g. https://www.zappos.com/men-shoes. Leave empty to use the search keywords below.

## `searchTerms` (type: `array`):

Keywords to search on Zappos when you have no category URL.

## `maxPagesPerSearch` (type: `integer`):

How many result pages to walk for each search. Set 0 for no limit.

## `maxItems` (type: `integer`):

Stop after this many products. Set 0 for no limit.

## `maxConcurrency` (type: `integer`):

Parallel requests. Lower this if the site rate-limits you.

## `proxyConfiguration` (type: `object`):

Proxy used to fetch pages. Defaults to Apify Proxy (automatic). You usually do not need to change this.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.zappos.com/men-shoes"
    }
  ],
  "searchTerms": [],
  "maxPagesPerSearch": 5,
  "maxItems": 500,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

All products extracted in this run.

# 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 = {
    "startUrls": [
        {
            "url": "https://www.zappos.com/men-shoes"
        }
    ],
    "maxPagesPerSearch": 5,
    "maxItems": 500,
    "maxConcurrency": 4
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/zappos-product-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 = {
    "startUrls": [{ "url": "https://www.zappos.com/men-shoes" }],
    "maxPagesPerSearch": 5,
    "maxItems": 500,
    "maxConcurrency": 4,
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/zappos-product-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 '{
  "startUrls": [
    {
      "url": "https://www.zappos.com/men-shoes"
    }
  ],
  "maxPagesPerSearch": 5,
  "maxItems": 500,
  "maxConcurrency": 4
}' |
apify call logiover/zappos-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/zappos-product-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/mX3hd6uhTi0DaeGkC/builds/W8PMHbD9QfL3kCRuH/openapi.json