# Preloved Listings Scraper (`piotrv1001/preloved-listings-scraper`) Actor Scrapes classified listings from preloved.co.uk — the UK's largest second-hand marketplace. Supports keyword search, category browse, and location filtering. Returns titles, prices, images, location, and seller info. Enable detail mode for full descriptions and category attributes. - **URL**: https://apify.com/piotrv1001/preloved-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 product listings 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 ### Preloved Listings Scraper Extract classified listings from [Preloved.co.uk](https://www.preloved.co.uk) — the UK's largest second-hand marketplace with over 70,000 active listings across furniture, electronics, vehicles, pets, property, and more. The **Preloved Listings Scraper** is fast, cheap, and reliable — no browser required. ### ✨ Features - 🔍 **Keyword Search** — scrape results for any search term across all categories - 📂 **Category Browse** — pull all listings from any section or sub-section by ID - 📍 **Location Filter** — filter by city/area and radius in miles - 🔗 **Direct URLs** — scrape specific advert pages or search URLs - 📋 **Full Detail Mode** — fetch complete descriptions, category attributes, seller profiles, and view counts - ⚡ **Fast & Lightweight** — no browser overhead, runs complete quickly ### 🛠️ How It Works 1. **Choose your mode** — keyword search, section browse, location filter, or paste specific advert URLs 2. **Enable detail** (optional) — turn on `includeDetail` to fetch full descriptions and seller info 3. **Run the scraper** — results land in the dataset as structured JSON ### 📥 Input | Parameter | Type | Description | Default | |---|---|---|---| | `searchQueries` | `string[]` | Keywords to search for (e.g. `["iphone", "sofa"]`). Each term is paginated independently. | `[]` | | `sectionIds` | `number[]` | Section IDs to browse. See section list below. | `[]` | | `startUrls` | `object[]` | Specific advert URLs (`/adverts/show/...`) or search page URLs. | `[]` | | `location` | `string` | City or area name to filter by (e.g. `"london"`, `"manchester"`). | — | | `distance` | `integer` | Radius in miles around the location. Requires `location`. | — | | `advertType` | `string` | Filter by type: `forsale`, `wanted`, `swap`, `free`, or blank for all. | all | | `includeDetail` | `boolean` | Fetch full listing detail per item: description, category attributes, seller profile, view count. Slower than summary mode. | `false` | | `maxItems` | `integer` | Maximum total listings to output. Leave blank for no limit. | — | | `maxConcurrency` | `integer` | Parallel requests (1–50). | `5` | #### Section IDs | ID | Section | Approx. count | |---|---|---| | 1014 | Home and Family | 38,000+ | | 1012 | Health and Leisure | 18,000+ | | 1015 | Motoring | 5,800+ | | 1018 | Property and Accommodation | 4,100+ | | 1016 | Office and Business | 1,300+ | | 1017 | Personal | 1,100+ | | 1010 | Computing | 1,000+ | | 1013 | Holidays and Travel | 170+ | | 1011 | Employment and Education | 40+ | | 1019 | Trade and Services | ~10 | Sub-section IDs also work — combine with a top-level browse to narrow results. ### 📊 Sample Output **Summary mode** (`includeDetail: false`): ```json { "id": "123041718", "url": "https://www.preloved.co.uk/adverts/show/123041718/iphone-xr-unlocked.html", "title": "iphone xr unlocked new battery good condition 64 gig storage", "price": 50, "priceDisplay": "£50", "priceExtra": "ovno", "currency": "GBP", "advertType": "forsale", "sectionId": "3600", "sectionName": "Mobile Phones", "sectionPath": ["Home and Family", "Telephones and Mobiles", "Mobile Phones"], "locationDisplay": "Bradford, West Yorkshire", "latitude": 53.78331, "longitude": -1.783879, "images": [ "https://preloved.thcdn.com/8f/83/8f83d4d36c32443584e92b9edec3e9fd.jpg?r=0" ], "sellerId": "2013713990", "sellerType": "private", "createdDate": "2026-03-15T03:31:19Z", "updatedDate": "2026-03-15T03:31:22Z", "shortDescription": "iphone xr unlocked good condition new battery...", "trustapEnabled": false, "scrapedAt": "2026-03-26T14:04:26.689Z" } ```` **Detail mode** (`includeDetail: true`) — adds: ```json { "description": "Gaming pc for sale due to upgrade.\n\nSpecs:\nAmd Radeon RX 7600 8GB\n...", "additionalInfo": [ { "label": "Condition", "value": "Second hand" }, { "label": "Manufacturer", "value": "Amd" }, { "label": "RAM", "value": "16", "units": "GB" } ], "viewCount": 34, "sellerScreenName": "Stephen Gilmour", "sellerDateJoined": "2019-06-10T00:00:00Z", "sellerMembershipLevel": "free", "sellerIsIdVerified": false, "sellerActiveAdvertCount": 3, "sellerAvatarUrl": "https://preloved.thcdn.com/f4/84/..." } ``` ### 💰 Pricing This actor uses [pay-per-event pricing](https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event). | Event | When charged | Price per 1,000 results | |---|---|---| | `product-listing` | One per listing saved in **summary mode** (`includeDetail: false`) | **$1.00** | | `item-detail` | One per listing saved in **detail mode** (`includeDetail: true`) | **$4.00** | Detail mode costs more because it returns significantly richer data per item: full description, category-specific attributes, seller profile, and view count. **Example costs:** | Use case | Items | Mode | Cost | |---|---|---|---| | Quick keyword search ("iphone") | ~72 | Summary | ~$0.07 | | Section browse (Computing) | 1,000 | Summary | $1.00 | | Full catalog snapshot | 71,400 | Summary | ~$71 | | Enriched leads (pets section) | 1,000 | Detail | $4.00 | | Full catalog with detail | 71,400 | Detail | ~$286 | # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search for (e.g. \['iphone', 'sofa']). Each keyword produces separate results. ## `sectionIds` (type: `array`): Numeric section IDs to browse (e.g. \[1014, 1012]). Top-level: Home and Family (1014), Health and Leisure (1012), Motoring (1015), Property (1018), Office/Business (1016), Personal (1017), Computing (1010), Holidays (1013), Employment (1011), Trade (1019). ## `startUrls` (type: `array`): Specific Preloved advert URLs (e.g. https://www.preloved.co.uk/adverts/show/123456789/my-item.html) or search page URLs to scrape. ## `location` (type: `string`): City or area name to filter listings by (e.g. 'london', 'manchester', 'birmingham'). ## `distance` (type: `integer`): Radius in miles around the location. Only used when Location is set. ## `advertType` (type: `string`): Filter by listing type. Leave blank to get all types. ## `includeDetail` (type: `boolean`): Fetch full listing detail for each item: complete description, category-specific attributes, seller profile, and view count. Slower than summary mode. ## `maxItems` (type: `integer`): Maximum total number of listings to output. Leave blank for no limit. ## `maxConcurrency` (type: `integer`): Maximum number of parallel requests. Default: 5. Increase for faster scraping. ## Actor input object example ```json { "searchQueries": [ "sofa" ], "sectionIds": [], "startUrls": [], "advertType": "forsale", "includeDetail": false, "maxItems": 100, "maxConcurrency": 5 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "sofa" ] }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/preloved-listings-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 = { "searchQueries": ["sofa"] } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/preloved-listings-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": [ "sofa" ] }' | apify call piotrv1001/preloved-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/preloved-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Preloved Listings Scraper", "description": "Scrapes classified listings from preloved.co.uk — the UK's largest second-hand marketplace. Supports keyword search, category browse, and location filtering. Returns titles, prices, images, location, and seller info. Enable detail mode for full descriptions and category attributes.", "version": "0.0", "x-build-id": "46Z6DaOJSZSYiaDD6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~preloved-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-preloved-listings-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/piotrv1001~preloved-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-preloved-listings-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/piotrv1001~preloved-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-preloved-listings-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": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Keywords to search for (e.g. ['iphone', 'sofa']). Each keyword produces separate results.", "default": [], "items": { "type": "string" } }, "sectionIds": { "title": "Section IDs", "type": "array", "description": "Numeric section IDs to browse (e.g. [1014, 1012]). Top-level: Home and Family (1014), Health and Leisure (1012), Motoring (1015), Property (1018), Office/Business (1016), Personal (1017), Computing (1010), Holidays (1013), Employment (1011), Trade (1019).", "default": [] }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Specific Preloved advert URLs (e.g. https://www.preloved.co.uk/adverts/show/123456789/my-item.html) or search page URLs to scrape.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "location": { "title": "Location", "type": "string", "description": "City or area name to filter listings by (e.g. 'london', 'manchester', 'birmingham')." }, "distance": { "title": "Distance (miles)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Radius in miles around the location. Only used when Location is set." }, "advertType": { "title": "Advert Type", "enum": [ "", "forsale", "wanted", "swap", "free" ], "type": "string", "description": "Filter by listing type. Leave blank to get all types.", "default": "forsale" }, "includeDetail": { "title": "Include Full Detail", "type": "boolean", "description": "Fetch full listing detail for each item: complete description, category-specific attributes, seller profile, and view count. Slower than summary mode.", "default": false }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum total number of listings to output. Leave blank for no limit.", "default": 100 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of parallel requests. Default: 5. Increase for faster scraping.", "default": 5 } } }, "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 } } } } } } } } } } ```