# Fashionphile Scraper (`moving_beacon-owner1/fashionphile-scraper`) Actor

An Apify actor that scrapes Fashionphile's pre-owned luxury listings in two modes:

-searchUrls: Gathers search/category results using browser-rendered HTML and CSS selectors.\
-productUrls: Retrieves product details directly from GET /products/<slug>.json for quicker access.

- **URL**: https://apify.com/moving\_beacon-owner1/fashionphile-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **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 (Apify Actor)

Apify actor that scrapes [Fashionphile](https://www.fashionphile.com)
pre-owned luxury listings in two modes:

| Input field | What it does | How |
|---|---|---|
| `searchUrls` | Scrape search / category result pages | Browser-rendered HTML, parsed by CSS selectors |
| `productUrls` | Scrape full product detail | `GET /products/<slug>.json` (no browser, fast) |

Every pushed item carries `_type` and `_sourceUrl`:

```jsonc
{
  "_type": "search_result",
  "_sourceUrl": "https://www.fashionphile.com/shop/discounted/all",
  "id": 14223659729199,
  "brand_name": "Louis Vuitton",
  "product_name": "Empreinte Neo Alma PM Tourterelle",
  "condition": "Shows Wear",
  "price": 1705,
  "discounted_price": 90
}

{
  "_type": "product",
  "_sourceUrl": "https://www.fashionphile.com/p/louis-vuitton-...-1242632",
  "id": 1242632,
  "brand": {...},
  "category": {...},
  "images": [...],
  "condition": "Excellent",
  "price": ...,
  // ...full product object
}
```

### Proxy

Fashionphile is fronted by Cloudflare; datacenter IPs may face challenges.
The default input uses **Apify Proxy with the `RESIDENTIAL` group**. Override
with your own proxy URL via the standard Apify proxy input fields if you
prefer.

The shim picks the URL up via `PROXY_URL` and uses it for both `httpx`
(product JSON) and Chromium (search/category pages with `render_js`).

### Run locally with the Apify CLI

```bash
npm install -g apify-cli
apify login
cd fashionphile-actor
apify run --purge
```

Deploy:

```bash
apify push
```

### Run on Apify without the CLI

1. Zip the contents of this folder so the zip's top level contains
   `.actor/`, `src/`, `Dockerfile`, `requirements.txt`, `README.md`.
2. <https://console.apify.com> → **Actors** → **Create new** → **Upload zip**
   → drop the zip.
3. Build (~3 min, mostly Playwright/Chromium).
4. Start, fill in input, run.

### Example input

```json
{
  "searchUrls": [
    "https://www.fashionphile.com/shop/discounted/all",
    "https://www.fashionphile.com/shop/brands/chanel/handbags"
  ],
  "maxSearchPages": 2,
  "productUrls": [
    "https://www.fashionphile.com/p/louis-vuitton-monogram-multicolor-lodge-gm-black-1242632",
    "https://www.fashionphile.com/p/bottega-veneta-nappa-twisted-padded-intrecciato-curve-slide-sandals-36-black-1048096"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### What the scraper returns

#### `search_result` items (one per product card)

Small summary records pulled from Fashionphile's Algolia-powered search:
`id`, `brand_name`, `product_name`, `condition` (e.g. *Excellent*, *Shows
Wear*), `price`, `discounted_price`. Roughly 60–120 cards per page.

#### `product` items (one per URL)

The complete product record from the public products JSON endpoint,
including image URLs, full description, hardware/material tags, designer
notes, condition notes, listing date, sellers, and more. The exact field set
is whatever Fashionphile exposes — passed through verbatim.

# Actor input Schema

## `searchUrls` (type: `array`):

Fashionphile search or category pages, e.g. https://www.fashionphile.com/shop/discounted/all or https://www.fashionphile.com/shop/brands/louis-vuitton.

## `maxSearchPages` (type: `integer`):

How many pages of search results to scrape per URL. Each page is rendered with a real browser, so values >10 can take many minutes.

## `productUrls` (type: `array`):

Fashionphile product detail page URLs, e.g. https://www.fashionphile.com/p/louis-vuitton-monogram-multicolor-lodge-gm-black-1242632. Backed by the public products JSON endpoint, so this mode is fast and returns the full product object.

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

Fashionphile is fronted by Cloudflare; datacenter IPs may be challenged. Apify Proxy with the RESIDENTIAL group is recommended.

## `perTaskTimeoutSeconds` (type: `integer`):

Maximum time to wait for any one URL before giving up and moving on.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.fashionphile.com/shop/discounted/all"
  ],
  "maxSearchPages": 1,
  "productUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "perTaskTimeoutSeconds": 180
}
```

# 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 = {
    "searchUrls": [
        "https://www.fashionphile.com/shop/discounted/all"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/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 = { "searchUrls": ["https://www.fashionphile.com/shop/discounted/all"] }

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/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 '{
  "searchUrls": [
    "https://www.fashionphile.com/shop/discounted/all"
  ]
}' |
apify call moving_beacon-owner1/fashionphile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=moving_beacon-owner1/fashionphile-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/zmFoDcp8pqAeYpOvD/builds/idBqhpzYNE9E87akT/openapi.json