# Fashionphile Scraper - Pre-Owned Luxury Resale (`lulzasaur/fashionphile-scraper`) Actor

Scrape Fashionphile.com pre-owned luxury search (handbags, watches, jewelry, accessories) via its official product search API. Extract title, brand, category, condition, price, retail/MSRP, SKU, availability, image, and URL. Great for resale arbitrage, price tracking, and market research.

- **URL**: https://apify.com/lulzasaur/fashionphile-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 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/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

## Fashionphile Scraper

Scrape [Fashionphile.com](https://www.fashionphile.com/) — one of the largest pre-owned luxury resale marketplaces (handbags, watches, fine jewelry, and accessories) — via its official product search API.

### What it does

Give it a list of search terms (brands, models, categories) and it returns clean, structured product records for each match: title, brand, category, condition grade, price, retail/MSRP, SKU, availability, image, and product URL.

Great for:

- **Resale arbitrage** — compare Fashionphile asking prices against other marketplaces
- **Price tracking** — monitor pre-owned luxury prices over time
- **Market research** — inventory depth, condition mix, and brand pricing

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQueries` | array | Search terms, e.g. `["louis vuitton", "rolex", "chanel", "hermes birkin"]`. Each produces its own result set. |
| `maxListings` | integer | Max products per query (paginated 100 at a time). `0` = all available. Default `100`. |
| `proxyConfiguration` | object | Optional. The search API works without a proxy; enable only if rate-limited at scale. |

#### Example input

```json
{
  "searchQueries": ["louis vuitton", "rolex"],
  "maxListings": 100
}
```

### Output

Each item looks like:

```json
{
  "sku": "1925135",
  "title": "Veau Nuage Milla MM Craie",
  "brand": "Louis Vuitton",
  "category": "Bags",
  "condition": "Excellent",
  "price": 1795,
  "retailPrice": null,
  "currency": "USD",
  "availability": "In Stock",
  "color": ["Whites"],
  "material": ["Leather", "Solid Color"],
  "location": ["Carlsbad"],
  "productId": "16051817840943",
  "objectID": "58154459234607",
  "image": "https://cdn.shopify.com/s/files/1/0894/3186/7695/files/....jpg",
  "url": "https://www.fashionphile.com/products/louis-vuitton-veau-nuage-milla-mm-craie-1925135",
  "searchQuery": "louis vuitton",
  "scrapedAt": "2026-07-09T00:00:00.000Z"
}
```

### Notes

- Data comes from Fashionphile's public product search backend; no login required.
- Prices are in USD.
- This Actor is not affiliated with or endorsed by Fashionphile. Respect their Terms of Service and use responsibly.

# Actor input Schema

## `searchQueries` (type: `array`):

List of search terms to scrape on Fashionphile.com (e.g., 'louis vuitton', 'rolex', 'chanel', 'hermes birkin', 'cartier'). Each query produces a separate set of results.

## `maxListings` (type: `integer`):

Maximum number of products to scrape per search query (results are paginated 100 at a time). Set to 0 for maximum available.

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

Proxy settings. The Fashionphile search API is accessible without a proxy; enable one only if you hit rate limits at scale.

## Actor input object example

```json
{
  "searchQueries": [
    "louis vuitton"
  ],
  "maxListings": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 = {
    "searchQueries": [
        "louis vuitton"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/fashionphile-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 = { "searchQueries": ["louis vuitton"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/fashionphile-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 '{
  "searchQueries": [
    "louis vuitton"
  ]
}' |
apify call lulzasaur/fashionphile-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/P4SZUgWVmAyqxbID8/builds/1GngnX1IudhCchvO6/openapi.json