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Fashionphile Scraper (Apify Actor)

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

Every pushed item carries _type and _sourceUrl:

{
 "_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

npminstall-g apify-cli
apify login
cd fashionphile-actor
apify run --purge

Deploy:

$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

{
"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.