# Chloé Scraper — Style Codes, Prices & Sizes (`studio-amba/chloe-scraper`) Actor

Scrape Chloe.com's full product sitemap for style codes, prices, sizes, colors, images and descriptions, straight from the brand — no login required.

- **URL**: https://apify.com/studio-amba/chloe-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

## Chloé Scraper

Scrape Chloe.com's entire product catalog — style codes, prices, sizes,
colors, 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
Chloé bag, shoe or piece of clothing across retailers, resale platforms, or
your own inventory is the brand's own style code (e.g. `CH25A12LPI27T`).
This actor harvests that code, current price, colorway and the full defined
size run for the entire catalog in one pass — no manual browsing, no login.

### How to scrape Chloé data

1. Leave the input empty (`{}`) to harvest all six en-us product sitemaps —
   roughly 3,150 unique 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, colorway, defined sizes, 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.

Chloe.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 the six product sitemaps listed in
`https://www.chloe.com/en-us/sitemap_index.xml` (discovered via
`robots.txt`), de-duplicating the `/es-us/` Spanish-language mirror of the
same US catalog down to one record per product, then reads each product
page's own `application/ld+json` structured data plus the size-selector
markup for the defined size run.

### Input

| Field | Type | Required | Description |
|-------|------|----------|--------------|
| `startUrls` | Array | No | Specific Chloe product page URLs to scrape instead of the full sitemap. |
| `maxItems` | Integer | No | Stop after this many products. `0` or empty means harvest all six sitemaps (~3,150 unique products). |
| `maxConcurrency` | Integer | No | Parallel page requests (default: 15). |
| `proxyConfiguration` | Object | No | Apify Proxy settings. On by default; not required but improves reliability on large runs. |

### Output

Each result is one product:

| Field | Type | Example |
|-------|------|---------|
| `brand` | String | `"Chloé"` |
| `productName` | String | `"Chloé Soleil slide"` |
| `styleCode` | String | `"CH25A12LPI27T"` (normalized: uppercase, alphanumeric only) |
| `styleCodeRaw` | String | `"CH25A12LPI27T"` (as printed on the site) |
| `styleCodeLength` | Number | `13` |
| `styleCodeIsFull` | Boolean | `true` — read from the PDP's own structured data |
| `price` | Number | `435` |
| `currency` | String | `"USD"` |
| `availability` | Boolean/null | `true` — nullable 3-state, never coerced to `false` when unknown |
| `sizes` | Array | Sizes defined for this style — `size`, `inStock` (null: present, stock unconfirmed) |
| `color` | String | `"GINGER_BROWN"` |
| `description` | String | Product description text |
| `imageUrl` | String | Main product image URL |
| `productUrl` | String | Chloe.com product page URL |
| `isPreOwned` | Boolean | `false` — always, this is a first-party brand listing |
| `source` | String | `"chloe.com"` |
| `scrapedAt` | String | ISO 8601 timestamp |

### Example output

Real output from a live run:

```json
{
    "brand": "Chloé",
    "productName": "Chloé Soleil slide",
    "styleCode": "CH25A12LPI27T",
    "styleCodeRaw": "CH25A12LPI27T",
    "styleCodeLength": 13,
    "styleCodeIsFull": true,
    "price": 435,
    "currency": "USD",
    "availability": true,
    "sizes": [
        { "size": "35", "inStock": null },
        { "size": "36", "inStock": null },
        { "size": "37", "inStock": null },
        { "size": "38", "inStock": null },
        { "size": "39", "inStock": null },
        { "size": "40", "inStock": null }
    ],
    "color": "GINGER_BROWN",
    "description": "The Chloé Soleil slides are crafted from shiny calfskin with a distinctive wavy sole. The upper is stitched with the Chloé Iconic logo.",
    "imageUrl": "https://www.chloe.com/dw/image/v2/BLMX_PRD/on/demandware.static/-/Sites-chloe-master/default/dw5b2d0e09/images/all-images/CH25A12LPI27T/0jA-SP4LQDavNsauwqSBHQ_296cbb54.jpeg?sw=1440&sfrm=png&q=90",
    "productUrl": "https://www.chloe.com/en-us/p/shoes/slides/CH25A12LPI27T.html",
    "isPreOwned": false,
    "source": "chloe.com",
    "scrapedAt": "2026-07-31T10:02:28.569Z"
}
```

### 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

- `sizes` lists every size defined for the style but does not mark which
  ones are sold out — Chloé's server-rendered HTML doesn't carry that flag
  the way Celine's does, so `inStock` is `null` (present, stock
  unconfirmed) on every entry rather than a guessed true/false. The
  product-level `availability` field is still a real in-stock/out-of-stock
  read from the page's structured data.
- The sitemap includes both `/en-us/` and `/es-us/` (Spanish-language, same
  US catalog) entries for every product; this actor de-duplicates to
  `/en-us/` only, so the effective catalog size is about half the raw
  sitemap URL count.
- A small share of sitemap URLs 404 (discontinued lines still listed) — the
  actor still returns a record with the style code from the URL, with
  `price`/`availability`/`image` left `null`.
- Data is scraped from the public Chloe.com site and may change without
  notice if Chloé changes its markup or sitemap structure.
- Respect Chloé'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

- [Prada Scraper](https://apify.com/studioamba/prada-scraper) — Same
  brand-direct pattern for Prada.com.
- [Celine Scraper](https://apify.com/studioamba/celine-scraper) — Same
  pattern for Celine.com, with confirmed per-size stock.
- [Burberry Scraper](https://apify.com/studioamba/burberry-scraper) — Same
  pattern for Burberry.com, with exact per-size stock quantities.

# Actor input Schema

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

Optional: specific Chloe product page URLs to scrape instead of the full sitemap, e.g. https://www.chloe.com/en-us/p/shoes/slides/CH25A12LPI27T.html

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

Stop after this many products. Leave empty (or 0) to harvest all 6 en-us product sitemaps (~3,150 unique products, measured 2026-07-31).

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

Parallel page requests. Lower this if you see errors.

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

Chloe.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/chloe-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/chloe-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/chloe-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/4FdgbC7cVfdO9KbMx/builds/DAJgX6QhTVBEE8XhP/openapi.json
