# 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/.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, NaN 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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/.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. → **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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fashionphile Scraper", "description": "An Apify actor that scrapes Fashionphile's pre-owned luxury listings in two modes: \n\n-searchUrls: Gathers search/category results using browser-rendered HTML and CSS selectors. \n-productUrls: Retrieves product details directly from GET /products/.json for quicker access.", "version": "0.0", "x-build-id": "0Pi79VUgFHNWRuDBr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~fashionphile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-fashionphile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~fashionphile-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-fashionphile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~fashionphile-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-fashionphile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchUrls": { "title": "Search / category URLs", "type": "array", "description": "Fashionphile search or category pages, e.g. https://www.fashionphile.com/shop/discounted/all or https://www.fashionphile.com/shop/brands/louis-vuitton.", "default": [], "items": { "type": "string" } }, "maxSearchPages": { "title": "Max pages per search URL", "minimum": 1, "maximum": 50, "type": "integer", "description": "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.", "default": 1 }, "productUrls": { "title": "Product URLs", "type": "array", "description": "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.", "default": [], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Fashionphile is fronted by Cloudflare; datacenter IPs may be challenged. Apify Proxy with the RESIDENTIAL group is recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "perTaskTimeoutSeconds": { "title": "Per-task timeout (seconds)", "minimum": 30, "maximum": 900, "type": "integer", "description": "Maximum time to wait for any one URL before giving up and moving on.", "default": 180 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```