# Prada Scraper — Style Codes, Prices & Stock (`studio-amba/prada-scraper`) Actor

Scrape Prada.com's full product sitemap for style codes, prices, availability, images and descriptions, straight from the brand — no login, no proxy required for most runs.

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

## Pricing

from $1.20 / 1,000 result scrapeds

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/platform/actors/running/actors-in-store#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

## Prada Scraper

Scrape Prada.com's entire product catalog — style codes, prices, availability,
images and descriptions — straight from the brand's own product sitemap.

### Why use this actor?

Luxury products have no EAN or UPC. The only reliable way to match the same
Prada bag, belt or shoe across retailers, resale platforms, or your own
inventory is the brand's own style code (e.g. `2CC004_053_F0RD7`). This
actor harvests that code, plus current price and availability, for the
entire catalog in one run — no manual browsing, no login, and no per-product
lookups needed.

### How to scrape Prada data

1. Leave the input empty (`{}`) to harvest the full US/en product sitemap —
   roughly 6,500 products, measured live 2026-07-31.
2. Or set `maxItems` to cap the run, or pass specific `startUrls` (product
   page URLs) to scrape a known list instead of the full catalog.
3. Run the actor. Each result is one product: name, brand, normalized style
   code, price in USD, availability, description, main image, and the
   product URL.
4. Export the dataset as JSON, CSV, or Excel from the Apify Console, or pull
   it via the API.

Prada.com's product pages are open to a plain HTTP request — no login, no
JavaScript rendering, and no anti-bot wall was found during recon
(2026-07-31). The actor reads `https://www.prada.com/sitemap_product_US_en_0.xml`
(discovered via `robots.txt`, not the top-level `/sitemap.xml`, which is a
locale index rather than a product list) for the URL set, then reads each
product page's own `application/ld+json` structured data for the fields.

### Input

| Field | Type | Required | Description |
|-------|------|----------|--------------|
| `startUrls` | Array | No | Specific Prada product page URLs to scrape instead of the full sitemap. |
| `maxItems` | Integer | No | Stop after this many products. `0` or empty means harvest the entire sitemap (~6,500 products). |
| `maxConcurrency` | Integer | No | Parallel page requests (default: 15). |
| `proxyConfiguration` | Object | No | Apify Proxy settings. On by default; Prada's product pages don't require it, but it improves reliability on large runs. |

### Output

Each result is one product:

| Field | Type | Example |
|-------|------|---------|
| `brand` | String | `"Prada"` |
| `productName` | String | `"Saffiano Leather Reversible Belt"` |
| `styleCode` | String | `"2CC004053F0RD7"` (normalized: uppercase, alphanumeric only) |
| `styleCodeRaw` | String | `"2CC004_053_F0RD7"` (as printed on the site) |
| `styleCodeLength` | Number | `14` |
| `styleCodeIsFull` | Boolean | `true` — read from the PDP's own structured data |
| `price` | Number | `825` |
| `currency` | String | `"USD"` |
| `availability` | Boolean/null | `true` — nullable 3-state, never coerced to `false` when unknown |
| `sizes` | Array | `[]` — Prada does not expose per-size stock in the static page for the product types checked |
| `description` | String | Product description text |
| `imageUrl` | String | Main product image URL |
| `productUrl` | String | Prada.com product page URL |
| `isPreOwned` | Boolean | `false` — always, this is a first-party brand listing |
| `source` | String | `"prada.com"` |
| `scrapedAt` | String | ISO 8601 timestamp |

### Example output

Real output from a live run:

```json
{
    "brand": "Prada",
    "productName": "Saffiano Leather Reversible Belt",
    "styleCode": "2CC004053F0RD7",
    "styleCodeRaw": "2CC004_053_F0RD7",
    "styleCodeLength": 14,
    "styleCodeIsFull": true,
    "price": 825,
    "currency": "USD",
    "availability": true,
    "description": "Two-toned Saffiano leather---Reversible---Polished steel buckle---Engraved Prada logo",
    "imageUrl": "https://www.prada.com/content/dam/pradanux_products/2/2CC/2CC004/053F0RD7/2CC004_053_F0RD7_SLF.png",
    "productUrl": "https://www.prada.com/us/en/p/saffiano-leather-reversible-belt/2CC004_053_F0RD7",
    "isPreOwned": false,
    "source": "prada.com",
    "scrapedAt": "2026-07-31T10:02:18.273Z"
}
```

### Cost estimate

This actor makes one lightweight HTTP request per product — no browser
rendering. At the MID pricing tier ($0.002 per result + $0.005 per run),
scraping 1,000 products costs roughly **$2.01** in platform fees plus your
Apify compute usage, which is minimal since every request is plain
HTTP/Cheerio.

### Limitations

- Per-size stock is not available for Prada — no size/stock ladder was found
  in the server-rendered PDP HTML for the product types checked (belts,
  sneakers, bags). It looks to be a client-side-only or authenticated call.
  `availability` (in stock / out of stock at the product level) is still
  captured from the page's own structured data.
- Currency is fixed at USD because this actor reads the US/en storefront
  sitemap specifically. Prada runs a separate sitemap per country/language;
  a European-currency version would need a different sitemap URL.
- If a product page is ever blocked or returns something unexpected, the
  record still gets pushed with the style code read straight from the URL
  slug — price, availability and image are left `null` rather than the run
  failing outright.
- Data is scraped from the public Prada.com site and may change without
  notice if Prada changes its markup or sitemap structure.
- Respect Prada's terms of service and use the data responsibly.

### Need this data on a schedule, or a custom version?

We run this scraper as a managed service for businesses: scheduled runs,
deduplication, delta detection, and delivery to your inbox, Google Sheets,
or API — maintenance included. We can also build a custom version with your
exact fields and filters, or combine multiple sources into one feed.

See [studioamba.dev/services](https://studioamba.dev/services/) or email
<hello@studioamba.dev> for a free data sample.
We maintain 300+ European web scrapers and answer within one business day.

### Related Scrapers

- [Celine Scraper](https://apify.com/studioamba/celine-scraper) — Same
  brand-direct pattern for Celine.com, with per-size stock.
- [Burberry Scraper](https://apify.com/studioamba/burberry-scraper) — Same
  pattern for Burberry.com, with exact per-size stock quantities.
- [Farfetch Scraper](https://apify.com/studioamba/farfetch-scraper) —
  Multi-brand luxury marketplace search, including Prada listings.

# Actor input Schema

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

Optional: specific Prada product page URLs to scrape instead of the full sitemap, e.g. https://www.prada.com/us/en/p/saffiano-leather-reversible-belt/2CC004\_053\_F0RD7

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

Stop after this many products. Leave empty (or 0) to harvest the entire US/en product sitemap (~6,500 products, measured 2026-07-31).

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

Parallel page requests. Lower this if you see errors.

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

Prada.com's product pages are open to plain GET (verified 2026-07-31, no anti-bot). Apify Proxy is on by default for reliability on large runs; you can turn it off.

## Actor input object example

```json
{
  "maxItems": 20,
  "maxConcurrency": 15,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "maxItems": 20,
    "maxConcurrency": 15,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/prada-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 = {
    "maxItems": 20,
    "maxConcurrency": 15,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/prada-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 '{
  "maxItems": 20,
  "maxConcurrency": 15,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call studio-amba/prada-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=studio-amba/prada-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ioSdS0cIy48Dz8e5O/builds/ZkBRoaWQvNE943r3S/openapi.json