# Hardly Ever Worn It Scraper (`crawlerbros/hardlyeverwornit-scraper`) Actor Scrape hardlyeverwornit.com - a UK-based luxury pre-owned fashion marketplace. Search by keyword, browse by category or brand. Returns title, brand, price, condition, size, color, images, and listing URL. - **URL**: https://apify.com/crawlerbros/hardlyeverwornit-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, E-commerce, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 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 ## Hardly Ever Worn It Scraper Extract pre-owned luxury fashion listings from [hardlyeverwornit.com](https://www.hardlyeverwornit.com) — a UK-based consignment marketplace for designer clothing, handbags, shoes, jewelry, and accessories from brands like Hermès, Chanel, Louis Vuitton, Gucci, Prada, and more. ### What does this actor do? This actor scrapes the public Shopify product API of Hardly Ever Worn It to retrieve pre-owned luxury fashion listings. It supports three modes: - **Search by keyword** — find listings matching a query such as "Hermes bag" or "Chanel jacket" - **Browse by category** — browse all listings in a specific category (bags, shoes, dresses, jewelry, watches, etc.) - **Browse by brand** — retrieve all listings for a specific designer brand (Hermès, Chanel, Gucci, Dior, etc.) No account, API key, or proxy is required. --- ### Input | Field | Type | Description | |---|---|---| | `mode` | Select | `search`, `byCategory`, or `byBrand` | | `query` | Text | Search keyword (mode=search), e.g. "Hermes bag" | | `category` | Select | Category handle (mode=byCategory), e.g. `bags`, `bags-women`, `shoes-women` | | `brand` | Select | Designer brand (mode=byBrand), e.g. `hermes`, `chanel`, `gucci` | | `condition` | Select | Filter by item condition: `Very Good`, `New with tags`, `Good`, `B+`, etc. | | `maxItems` | Integer | Maximum number of listings to return (1–200, default 30) | #### Example inputs **Search for Hermès bags:** ```json { "mode": "search", "query": "Hermes bag", "maxItems": 50 } ```` **Browse women's bags:** ```json { "mode": "byCategory", "category": "bags-women", "maxItems": 100 } ``` **Browse Chanel listings:** ```json { "mode": "byBrand", "brand": "chanel", "condition": "New with tags", "maxItems": 50 } ``` *** ### Output Each record includes: | Field | Type | Description | |---|---|---| | `listingId` | String | Unique Shopify product ID | | `title` | String | Listing title (e.g. "Hermès Birkin 30 Togo Leather") | | `brand` | String | Designer brand (e.g. "Hermès", "Chanel") | | `category` | String | Product category (e.g. "Bags", "Shoes") | | `subcategory` | String | More specific category (e.g. "Shoulder bag", "Bucket bag") | | `condition` | String | Item condition (e.g. "Very Good", "New with tags", "B+") | | `size` | String | Size label (e.g. "38", "M", "one size") | | `color` | String | Primary color (e.g. "Black", "Etoupe") | | `gender` | String | Gender classification ("Women", "Men", "Unisex") | | `material` | String | Primary material (e.g. "Leather", "Cotton") | | `price` | Float | Current listing price in GBP | | `originalRetailPrice` | Float | Original retail price (if available) | | `currency` | String | Always `"GBP"` | | `available` | Boolean | Whether the item is currently available | | `inclusions` | Array | What is included (e.g. `["auth_card", "dust_bag", "box"]`) | | `countryOfOrigin` | String | Country of manufacture (e.g. "France", "Italy") | | `imageUrl` | String | Primary listing image URL | | `listingUrl` | String | Direct URL to the listing on hardlyeverwornit.com | | `publishedAt` | String | ISO 8601 date the listing was published | | `scrapedAt` | String | ISO 8601 UTC timestamp when the record was scraped | | `recordType` | String | Always `"luxuryListing"` | #### Sample output record ```json { "listingId": "9256811888878", "title": "Hermès Etoupe Watch Strap", "brand": "Hermes", "category": "Accessories", "subcategory": "Accessories", "condition": "Very Good", "size": "one size", "color": "Brown", "gender": "Women", "material": "Leather", "price": 202.0, "currency": "GBP", "available": true, "inclusions": ["auth_card", "dust_bag"], "countryOfOrigin": "France", "imageUrl": "https://cdn.shopify.com/s/files/1/0755/1431/4990/files/hermes_strap.jpg", "listingUrl": "https://www.hardlyeverwornit.com/products/9733aa-hermes", "publishedAt": "2026-04-29T10:00:00-04:00", "scrapedAt": "2026-06-04T10:00:00+00:00", "recordType": "luxuryListing" } ``` *** ### Categories available The following category handles are supported for `mode=byCategory`: - `bags` / `bags-women` / `bags-men` - `shoes-women` / `shoes-men` - `clothing-women` / `clothing-men` - `accessories` / `accessories-women` / `accessories-men` - `fine-jewellery-women` / `fashion-jewellery-women` - `watches-women` / `watches-men` - `dresses` / `evening-dresses-women` / `day-dresses-women` - `jackets` / `jackets-women` / `jackets-men` - `knitwear-women` / `knitwear-men` - `jeans` / `jeans-women` / `jeans-men` - `heeled-shoes-women` / `flat-shoes-women` - `sneakers-women` / `sneakers-men` - `boots-women` / `boots-men` - `belts-women` / `belts-men` - `hats-women` / `hats-men` - `cross-body-bags-women` / `backpacks-women` ### Brands available Top designer brands supported for `mode=byBrand`: - `hermes` / `chanel` / `louis-vuitton` / `gucci` / `prada` - `dior` / `balenciaga` / `bottega-veneta-new` / `fendi` / `givenchy` - `balmain` / `dolce-gabbana` / `valentino` / `saint-laurent` / `celine` - `loewe` / `burberry` / `versace` / `alexander-mcqueen` - `alaia` / `amiri` / `amina-muaddi` / `jimmy-choo` *** ### Frequently Asked Questions **Does this require an API key or login?** No. Hardly Ever Worn It is powered by Shopify and its product API is publicly accessible without any authentication. **Are prices in USD or GBP?** All prices are in GBP (British Pounds Sterling) as this is a UK-based marketplace. **What does the condition field mean?** - `New with tags` — brand new, original tags attached - `New without tags` — unused but tags removed - `Very Good` — lightly used, minimal signs of wear - `Good` — gently used with minor wear - `B+` — gently worn, good condition - `AB` — well loved but structurally sound **How many items can I scrape?** The `maxItems` parameter goes up to 200 per run. For larger scrapes, run multiple jobs with different categories or brands. **Can I filter by size or color?** Currently the actor supports filtering by `condition`. Size and color are included in every output record so you can post-filter your dataset. **How fresh is the data?** The actor hits the live Shopify API, so data is real-time. Items sell quickly on luxury resale platforms, so listings may be sold by the time you visit. *** ### Data Source Data is sourced from the public Shopify JSON API of [hardlyeverwornit.com](https://www.hardlyeverwornit.com). No scraping of rendered HTML pages is performed. # Actor input Schema ## `mode` (type: `string`): Choose how to fetch listings: search by keyword, browse a category, or browse a brand. ## `query` (type: `string`): Keyword to search for (e.g. 'Hermes bag', 'Chanel jacket'). ## `category` (type: `string`): Product category to browse. ## `brand` (type: `string`): Designer brand to browse (e.g. 'hermes', 'chanel', 'gucci', 'louis-vuitton'). ## `condition` (type: `string`): Only return listings with this condition. Leave blank for all. ## `maxItems` (type: `integer`): Maximum number of listings to return. ## Actor input object example ```json { "mode": "search", "query": "Hermes bag", "category": "bags", "brand": "hermes", "condition": "", "maxItems": 20 } ``` # Actor output Schema ## `listings` (type: `string`): Dataset containing all scraped listings from Hardly Ever Worn It. # 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 = { "mode": "search", "query": "Hermes bag", "category": "bags", "brand": "hermes", "condition": "", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/hardlyeverwornit-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 = { "mode": "search", "query": "Hermes bag", "category": "bags", "brand": "hermes", "condition": "", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/hardlyeverwornit-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 '{ "mode": "search", "query": "Hermes bag", "category": "bags", "brand": "hermes", "condition": "", "maxItems": 20 }' | apify call crawlerbros/hardlyeverwornit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/hardlyeverwornit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hardly Ever Worn It Scraper", "description": "Scrape hardlyeverwornit.com - a UK-based luxury pre-owned fashion marketplace. Search by keyword, browse by category or brand. Returns title, brand, price, condition, size, color, images, and listing URL.", "version": "0.1", "x-build-id": "0t9RycyhG25kysqA9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~hardlyeverwornit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-hardlyeverwornit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~hardlyeverwornit-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-hardlyeverwornit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~hardlyeverwornit-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-hardlyeverwornit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "byCategory", "byBrand" ], "type": "string", "description": "Choose how to fetch listings: search by keyword, browse a category, or browse a brand.", "default": "search" }, "query": { "title": "Search query (mode=search)", "type": "string", "description": "Keyword to search for (e.g. 'Hermes bag', 'Chanel jacket')." }, "category": { "title": "Category (mode=byCategory)", "enum": [ "bags", "bags-women", "bags-men", "shoes-women", "shoes-men", "clothing-women", "clothing-men", "accessories", "accessories-women", "accessories-men", "fine-jewellery-women", "fashion-jewellery-women", "watches-women", "watches-men", "dresses", "jackets", "knitwear-women", "knitwear-men", "jeans", "jeans-women", "jeans-men", "heeled-shoes-women", "flat-shoes-women", "sneakers-women", "sneakers-men", "boots-women", "boots-men", "heeled-ankle-boots-women", "heeled-long-boots-women", "flat-ankle-boots-women", "flat-long-boots-women", "cross-body-bags-women", "backpacks-women", "belts-women", "belts-men", "hats-women", "hats-men", "scarves-women", "scarves-men", "leather-goods-and-gifts-women", "leather-goods-and-gifts-men", "swimwear-women", "activewear-women", "evening-dresses-women", "day-dresses-women", "gowns-women", "blazers-women", "blazers-men", "jackets-women", "jackets-men" ], "type": "string", "description": "Product category to browse.", "default": "bags" }, "brand": { "title": "Brand (mode=byBrand)", "enum": [ "hermes", "chanel", "louis-vuitton", "gucci", "prada", "dior", "balenciaga", "bottega-veneta-new", "fendi", "givenchy", "balmain", "dolce-gabbana", "valentino", "saint-laurent", "celine", "loewe", "burberry", "versace", "alexander-mcqueen", "alaia", "amiri", "amina-muaddi", "jimmy-choo", "louboutin", "manolo-blahnik" ], "type": "string", "description": "Designer brand to browse (e.g. 'hermes', 'chanel', 'gucci', 'louis-vuitton').", "default": "hermes" }, "condition": { "title": "Condition filter", "enum": [ "", "New with tags", "New without tags", "Very Good", "Good", "B+", "AB" ], "type": "string", "description": "Only return listings with this condition. Leave blank for all.", "default": "" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of listings to return.", "default": 30 } } }, "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 } } } } } } } } } } ```