# Backmarket Scraper (`silentflow/backmarket-scraper`) Actor Extract refurbished electronics from Back Market. Scrape iPhone, MacBook, Samsung & more across 14 countries. Get prices, savings, condition, ratings & specs. Fast & reliable with 100% success rate. Perfect for price monitoring & market analysis. Supports keyword search, filters & categories. - **URL**: https://apify.com/silentflow/backmarket-scraper.md - **Developed by:** [SilentFlow](https://apify.com/silentflow) (community) - **Categories:** E-commerce - **Stats:** 17 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $24.99/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Back Market Scraper Extract refurbished electronics from Back Market without login. Search by keyword, category, URL, or filters across 14 countries. Get prices, conditions, savings, ratings, and detailed product specs. ### ✨ Why use this scraper? - πŸ”“ **No login required**: Scrape all public data without authentication - 🌍 **14 countries**: All Back Market marketplaces, US, FR, DE, UK, ES, IT, and more - πŸ”— **URL-first approach**: Paste any Back Market URL with your filters already applied - πŸ“¦ **Comprehensive data**: Prices, savings, conditions, ratings, warranty, and seller details - 🏷️ **Advanced filters**: Category, brand, condition, price range, sort order - ⚑ **Two modes**: Fast search mode or detailed browse mode for complete specs ### 🎯 Use cases | Industry | Application | |----------|-------------| | **Price monitoring** | Track refurbished iPhone and MacBook prices across countries | | **Market research** | Analyze pricing trends and condition distribution for electronics | | **Competitive intelligence** | Monitor Back Market inventory and pricing vs. competitors | | **Deal automation** | Build alerts for specific products below a target price | | **E-commerce** | Benchmark your refurbished prices against market rates | | **Data journalism** | Investigate the refurbished electronics market at scale | ### πŸ“₯ Input parameters #### Search | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchUrl` | string | - | Paste a Back Market search URL with your filters already applied. Copy it from your browser. Overrides other search parameters. | | `searchText` | string | `iphone` | Simple keyword search. Used only if no URL is provided. | | `category` | string | - | Browse by category: `smartphones`, `laptops`, `tablets`, `gaming-consoles`, `smartwatches`, `audio`, `home-appliances` | | `brand` | string | - | Filter by brand name | | `country` | string | `us` | Target marketplace: `us`, `fr`, `de`, `uk`, `es`, `it`, `be`, `nl`, `at`, `pt`, `ie`, `fi`, `se`, `jp` | #### Filters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `conditions` | array | all | Filter by condition: `premium`, `excellent`, `good`, `fair` | | `order` | string | `bestsellers` | Sort by: `bestsellers`, `price-asc`, `price-desc`, `newest` | | `priceFrom` | number | - | Minimum price | | `priceTo` | number | - | Maximum price | #### Limits & options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `pages` | integer | `1` | Number of pages to scrape (1-50) | | `limit` | integer | `24` | Results per page (1-96) | | `browseMode` | boolean | `false` | Fetch detailed info for each product: description, storage, seller, shipping. Slower but more complete. | | `maxConcurrency` | integer | `3` | Parallel workers for browse mode (1-10) | > **Tip**: The easiest way to use this scraper is to set your filters directly on Back Market (brand, condition, price range, country), then copy the URL and paste it as `searchUrl`. The country is auto-detected from the URL. ### πŸ“Š Output data #### Standard mode example ```json { "id": "2d99b692-a008-4345-8196-fea4cf5e4096", "url": "https://www.backmarket.fr/fr-fr/p/iphone-16", "title": "iPhone 16", "brand": "Apple", "model": "iPhone 16", "price": 579.00, "currency": "EUR", "originalPrice": 869.00, "savings": 290.00, "savingsPercent": 33, "condition": "Parfait Γ©tat", "rating": 4.61, "ratingCount": 9175, "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/image.jpg", "inStock": true, "warrantyMonths": 12, "scrapedAt": "2026-03-31T01:41:57Z" } ```` #### Browse mode example (additional fields) ```json { "title": "iPhone 16 Pro 128 Go - Titane Blanc - DΓ©bloquΓ©", "price": 690.00, "currency": "EUR", "condition": "Good", "storage": "128 GB", "color": "Titane Blanc", "carrier": "Unlocked", "simType": "eSIM", "description": "iPhone 16 Pro in good condition. Minor cosmetic scratches...", "sellerName": "Recommerce", "sellerRating": 4.8, "shippingPrice": 0.00, "deliveryDays": "2-3", "images": [ "https://d2e6ccujb3mkqf.cloudfront.net/image1.jpg", "https://d2e6ccujb3mkqf.cloudfront.net/image2.jpg" ], "warrantyMonths": 12, "inStock": true, "scrapedAt": "2026-03-31T01:41:57Z" } ``` ### πŸ—‚οΈ Data fields | Category | Fields | |----------|--------| | **Identity** | `id`, `url`, `title`, `brand`, `model` | | **Pricing** | `price`, `currency`, `originalPrice`, `savings`, `savingsPercent` | | **Product** | `condition`, `color`, `storage`, `carrier`, `simType` | | **Ratings** | `rating`, `ratingCount` | | **Availability** | `inStock`, `warrantyMonths`, `shippingPrice`, `deliveryDays` | | **Seller** | `sellerName`, `sellerRating` *(browse mode)* | | **Media** | `imageUrl`, `images` *(browse mode)* | | **Content** | `description` *(browse mode)* | | **Meta** | `scrapedAt` | ### πŸš€ Examples #### Scrape a filtered Back Market search URL Go to Back Market, set your filters (brand, condition, price, country), copy the URL: ```json { "searchUrl": "https://www.backmarket.fr/fr-fr/l/iphone/ace99e5-7f4d-4fab-8b8c-f43d1524bf62?price_min=200&price_max=500&condition=good&sort=price-asc", "pages": 5 } ``` #### Simple keyword search ```json { "searchText": "MacBook Pro M3", "country": "us", "pages": 3 } ``` #### Browse by category with filters ```json { "category": "smartphones", "country": "de", "conditions": ["excellent", "good"], "priceFrom": 200, "priceTo": 600, "order": "price-asc", "pages": 5 } ``` #### Get detailed product data ```json { "searchUrl": "https://www.backmarket.com/en-us/l/iphone", "pages": 2, "browseMode": true } ``` ### πŸ’» Integrations #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("silentflow/backmarket-scraper").call(run_input={ "searchText": "iPhone 16", "country": "fr", "pages": 3, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"[{item['condition']}] {item['title']}, {item['price']} {item['currency']} (save {item['savingsPercent']}%)") ``` #### JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('silentflow/backmarket-scraper').call({ searchText: 'iPhone 16', country: 'fr', pages: 3, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(item => { console.log(`[${item.condition}] ${item.title}, ${item.price} ${item.currency} (save ${item.savingsPercent}%)`); }); ``` ### πŸ“ˆ Performance & limits | Metric | Value | |--------|-------| | Speed (standard mode) | ~24 products/second | | Speed (browse mode) | ~3 products/second | | Max results | 2,400 per run | | Countries supported | 14 | | Pagination | Automatic | ### πŸ’‘ Tips for best results 1. **Use the URL approach**: Set all your filters on Back Market first, then copy the URL, this gives you the most control over results 2. **Start small**: Test with `pages: 1` before scaling up to validate your filters 3. **Standard mode first**: Only enable `browseMode` if you specifically need seller info, description, or storage, it's 8x slower 4. **Country is auto-detected**: When using a `searchUrl`, you don't need to set the country separately, it's read from the URL domain 5. **Be specific**: "iPhone 15 Pro 256GB" works better than just "iPhone" ### ❓ FAQ **Q: How do I filter by condition, price, or brand?** A: You can use the input parameters (`conditions`, `priceFrom`, `priceTo`, `brand`) or set your filters directly on Back Market's website, then copy the URL and use it as `searchUrl`. **Q: Which countries are supported?** A: All 14 Back Market marketplaces: US, France, Germany, UK, Spain, Italy, Belgium, Netherlands, Austria, Portugal, Ireland, Finland, Sweden, and Japan. **Q: What is browse mode?** A: Browse mode visits each product's individual page to fetch additional data: description, storage, carrier, SIM type, seller name and rating, shipping price, and delivery time. It's slower but returns more complete data. **Q: What happens if a page returns no results?** A: The scraper automatically moves to the next page. Empty pages don't count toward your usage. ### πŸ“¬ Support We're building this scraper for **you**: your feedback makes it better for everyone! - πŸ’‘ **Need a feature?** Tell us what's missing and we'll prioritize it - βš™οΈ **Custom solutions**: Contact us for enterprise integrations or high-volume needs Check out our other scrapers: [SilentFlow on Apify](https://apify.com/silentflow) # Actor input Schema ## `searchUrl` (type: `string`): Paste a Back Market search URL with all your filters already applied. Go to backmarket.com (or your country's Back Market), set your keywords, category, condition, price range, etc., then copy the URL from your browser. If provided, all search filters below are ignored. ## `searchText` (type: `string`): Keywords to search for (e.g., iPhone, MacBook, Samsung...). ## `category` (type: `string`): Product category to browse. ## `brand` (type: `string`): Filter by brand (e.g., Apple, Samsung, Google). ## `conditions` (type: `array`): Filter by product condition. ## `order` (type: `string`): Sort results by. ## `priceFrom` (type: `number`): Minimum price filter. ## `priceTo` (type: `number`): Maximum price filter. ## `country` (type: `string`): Back Market country/marketplace. ## `maxItems` (type: `integer`): Maximum number of results to return. The scraper automatically paginates until this limit is reached. ## `browseMode` (type: `boolean`): Fetch detailed information for each product (slower, more data). ## `maxConcurrency` (type: `integer`): Number of parallel workers for browse mode (1-10, default: 3). ## Actor input object example ```json { "searchText": "iphone", "category": "", "conditions": [], "order": "bestsellers", "country": "us", "maxItems": 50, "browseMode": false, "maxConcurrency": 3 } ``` # Actor output Schema ## `products` (type: `string`): Complete product data with 24 fields per item: id (unique identifier), title (full product name with brand/model/storage/color), description (detailed info), brand (Apple/Samsung/Google/Sony/Dell/HP/Lenovo), model (iPhone 14 Pro/Galaxy S23/Pixel 8), price (current price), currency (USD/EUR/GBP), originalPrice (retail MSRP), savings (discount amount), savingsPercent (0-100%), condition (Excellent/Good/Fair/Premium), storage (64GB-1TB), color (Black/White/Silver/Midnight/Starlight), carrier (Unlocked/AT\&T/Verizon/T-Mobile), simType (Single/Dual/eSIM), rating (0-5 stars), ratingCount (review count), url (product page), imageUrl (main image), images (gallery), category (Smartphones/Laptops/Tablets), inStock (availability), warrantyMonths (warranty period), sellerName, sellerRating (0-5), shippingPrice, deliveryDays (2-5 days). ## `productsCSV` (type: `string`): CSV format export of all products for spreadsheet analysis ## `productsExcel` (type: `string`): Excel format export of all products # 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 = { "searchUrl": "", "searchText": "iphone", "brand": "", "conditions": [], "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("silentflow/backmarket-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchUrl": "", "searchText": "iphone", "brand": "", "conditions": [], "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("silentflow/backmarket-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrl": "", "searchText": "iphone", "brand": "", "conditions": [], "maxItems": 50 }' | apify call silentflow/backmarket-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=silentflow/backmarket-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Backmarket Scraper", "description": "Extract refurbished electronics from Back Market. Scrape iPhone, MacBook, Samsung & more across 14 countries. Get prices, savings, condition, ratings & specs. Fast & reliable with 100% success rate. Perfect for price monitoring & market analysis. Supports keyword search, filters & categories.", "version": "1.0", "x-build-id": "OVX1gmIpa8qvLmb0J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/silentflow~backmarket-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-silentflow-backmarket-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/silentflow~backmarket-scraper/runs": { "post": { "operationId": "runs-sync-silentflow-backmarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/silentflow~backmarket-scraper/run-sync": { "post": { "operationId": "run-sync-silentflow-backmarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrl": { "title": "Search URL", "type": "string", "description": "Paste a Back Market search URL with all your filters already applied. Go to backmarket.com (or your country's Back Market), set your keywords, category, condition, price range, etc., then copy the URL from your browser. If provided, all search filters below are ignored." }, "searchText": { "title": "Search Text", "type": "string", "description": "Keywords to search for (e.g., iPhone, MacBook, Samsung...)." }, "category": { "title": "Category", "enum": [ "", "smartphones", "laptops", "tablets", "gaming-consoles", "smartwatches", "audio", "home-appliances" ], "type": "string", "description": "Product category to browse.", "default": "" }, "brand": { "title": "Brand Filter", "type": "string", "description": "Filter by brand (e.g., Apple, Samsung, Google)." }, "conditions": { "title": "Product Conditions", "type": "array", "description": "Filter by product condition.", "items": { "type": "string" } }, "order": { "title": "Sort By", "enum": [ "bestsellers", "price-asc", "price-desc", "newest" ], "type": "string", "description": "Sort results by.", "default": "bestsellers" }, "priceFrom": { "title": "Minimum Price", "type": "number", "description": "Minimum price filter." }, "priceTo": { "title": "Maximum Price", "type": "number", "description": "Maximum price filter." }, "country": { "title": "Country", "enum": [ "us", "ca", "fr", "de", "gb", "es", "it", "be", "nl", "at", "pt", "ie", "fi", "se", "jp" ], "type": "string", "description": "Back Market country/marketplace.", "default": "us" }, "maxItems": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of results to return. The scraper automatically paginates until this limit is reached.", "default": 100 }, "browseMode": { "title": "Browse Mode", "type": "boolean", "description": "Fetch detailed information for each product (slower, more data).", "default": false }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of parallel workers for browse mode (1-10, default: 3).", "default": 3 } } }, "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 } } } } } } } } } } ```