# Back Market API Scraper (`rl1987/backmarket-api-scraper`) Actor Scrape refurbished-device listings and full product detail from Back Market via its private mobile API. Keyword/category search with filters (brand, grade, price, storage, color), sorting, pagination; optional per-product enrichment (specs, images, price per grade, seller, warranty). - **URL**: https://apify.com/rl1987/backmarket-api-scraper.md - **Developed by:** [R.L.](https://apify.com/rl1987) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 88.9% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 plp row scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Back Market Scraper πŸ›οΈ β€” Scrape Back Market.com Product ID, Title, Brand, Model **Back Market Scraper** β€” Scrape refurbished-device listings and full product detail from Back Market via its private mobile API. Keyword or category search with filters (brand, condition grade, price, storage, color), sorting and pagination; optional per-product enrichment (all specs, all images, price per condition grade, seller, warranty, reviews). It reads Back Market's own API directly, so it's **fast, reliable and complete** β€” no flaky HTML parsing, no headless browser. Export to **JSON, CSV, Excel, or an API**. --- ### ✨ Why use this Back Market Scraper? - 🟒 **No code required** β€” set your input, click **Start**, download your data. - ⚑ **Fast & accurate** β€” reads Back Market's own private API and returns structured JSON, not scraped HTML. - 🧾 **Rich, structured data** β€” every field below, clean and ready to use. - πŸ” **Full pagination** β€” collects results to your `maxItems` cap. - πŸ’Έ **Transparent pay-per-result pricing** β€” pay only for the rows you get. - πŸ“€ **Export anywhere** β€” JSON, CSV, Excel, XML, or pull it live via the Apify API. --- ### 🎯 What can you do with Back Market data? - **Market & competitor research** β€” analyse Back Market products at scale. - **Price & availability monitoring** β€” track changes over time. - **Data science & trend analysis** β€” build clean datasets. - **Lead generation & enrichment** β€” feed Back Market data into your own tools. --- ### πŸ“₯ What data does the Back Market Scraper extract? Each row includes: `id`, `title`, `brand`, `model`, `conditionGrade`, `price`, `priceWithCurrency`, `currency`, `priceNew`, `reviewAverage`, `reviewCount`, `category`, `color`, `image` …and more. See the full **Data table** below. --- ### πŸš€ How to scrape Back Market.com (3 steps) 1. **Set your input** β€” provide `q` or `market` (see the table below; defaults work out of the box). 2. **Pick options** β€” filters, a `proxyConfiguration`, and a `maxItems` cap. 3. **Run & export** β€” click **Start**, then download the dataset as JSON/CSV/Excel or fetch it via the API. --- ### βš™οΈ Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `q` | string | `iphone 13` | What to search for, e.g. "iphone 13", "macbook air", "galaxy s23". Leave empty and pick a Category to browse a whole category. | | `market` | enum | `US` | Back Market storefront to search. US works from any IP; other markets may require a matching-country residential proxy. β€” one of `US`, `FR`, `GB`, `DE`, `ES`, `IT`, `BE`, `NL`, `AT`, `FI`, `PT`, `IE`, `GR`, `SK`, `SE`, `JP`, `AU` | | `brand` | string | – | Only products of this brand, e.g. "Apple", "Samsung", "Google". | | `condition` | enum | – | Back Market condition grade to filter by. β€” one of `premium`, `excellent`, `good`, `fair` | | `storage` | string | – | Storage capacity, e.g. "128", "256 GB", "1 TB". | | `color` | string | – | Color name, e.g. "Midnight", "Black", "Silver". | | `minPrice` | integer | – | Minimum price in the market's currency. | | `maxPrice` | integer | – | Maximum price in the market's currency. | | `sort` | enum | `relevance` | Result ordering. β€” one of `relevance`, `price_asc`, `price_desc` | | `includeDetails` | boolean | `false` | Enrich each product with its full detail page: all specifications, all images, price per condition grade, variant options, seller/merchant, warranty and reviews. Slower (one extra request per product). | | `maxItems` | integer | `100` | Maximum number of products to return. 0 = all matching products. | | `category` | enum | – | Browse an entire category instead of a keyword search. Category names are US labels; for other markets, type the localized category name. β€” one of `Smartphones`, `Office laptops`, `Notebooks & Ultrabooks`, `Headphones`, `PC monitors`, `Desktops`, `Earphones`, `iPad`, `MacBook M1`, `Chromebooks`, `Computer mice`, `Speakers`, `Keyboards`, `Computer accessories`, `MacBook`, `Video games`, `Watches`, `Printers`, `Video game accessories`, `Apple Watch`, `Vacuum cleaners`, `Tablets`, `MP3 & MP4 players`, `All-in-one computers`, `External hard drives`, `Audio accessories`, `Webcams`, `Scanners`, `Soundbars & Home cinemas`, `PC docking stations`, `Smartphone accessories`, `Smartphone cases and protections`, `Gaming consoles (retro)`, `2 in 1 hybrid PCs` | | `proxyConfiguration` | object | Apify Proxy | Route requests through a proxy (Apify Proxy by default). | #### Example input ```jsonc { "q": "iphone 13", "market": "US", "sort": "relevance", "includeDetails": false, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` *** ### πŸ“€ Output Each result is a JSON object like this: ```jsonc { "id": "76c5d05a-79cc-42ed-91e4-7d35c710a85b", "title": "iPhone 14 β€’ Unlocked", "brand": "apple", "model": "iphone 14", "conditionGrade": "Fair", "price": 264.0, "priceWithCurrency": "$264.00", "currency": "USD", "priceNew": 629.0, "reviewAverage": 4.46, "reviewCount": 4302, "category": "Smartphones", "color": "Midnight", "image": "https://d2e6ccujb3mkqf.cloudfront.net/76c5d05a-79cc-42ed-91e4-7d35c710a85b-1_e7a95469-3f34-4b9b-8b1f-28dfe4c1ce4c.jpg", "url": "https://www.backmarket.com/en-us/p/iphone-14-128-gb-midnight-fully-unlocked-gsm-cdma/76c5d05a-79cc-42ed-91e4-7d35c710a85b?l=12", "images": [ "https://d2e6ccujb3mkqf.cloudfront.net/76c5d05a-79cc-42ed-91e4-7d35c710a85b-1_e7a95469-3f34-4b9b-8b1f-28dfe4c1ce4c.jpg", "https://d2e6ccujb3mkqf.cloudfront.net/76c5d05a-79cc-42ed-91e4-7d35c710a85b-2_da3d727f-4a76-454e-afaa-06c562318f38.jpg", "…+4 more" ] } ``` *** ### 🧾 Data table | Field | Type | Description | | --- | --- | --- | | `id` | text | Product ID | | `title` | text | Title | | `brand` | text | Brand | | `model` | text | Model | | `conditionGrade` | text | Condition | | `price` | number | Price | | `priceWithCurrency` | text | Price | | `currency` | text | Currency | | `priceNew` | number | Price new | | `reviewAverage` | number | Rating | | `reviewCount` | number | Reviews | | `category` | text | Category | | `color` | text | Color | | `image` | link | Image | | `url` | link | URL | | `images` | array | Images | *** ### πŸ’° Pricing β€” pay per result This actor uses **pay-per-event** pricing: you pay only for the rows it delivers. | You scrape | Price | | --- | --- | | **PLP row** (search/category listing row) | **$1.00 per 1,000 rows** | | **PDP row** (full product detail, only when *Include full product detail* is on) | **+$1.00 per 1,000 rows** | PDP charges are **additional**, on top of the PLP charge, for the same row β€” they are not a replacement price. With `includeDetails` off you pay $1/1,000 rows; with it on you pay $2/1,000 rows (both events fire per row). *** ### πŸ”Œ Use the Back Market Scraper via API Run it programmatically with the [Apify API](https://docs.apify.com/api/v2): ```bash curl -X POST "https://api.apify.com/v2/acts/backmarket-api-scraper/runs?token=YOUR_TOKEN" \ -H 'Content-Type: application/json' \ -d '{ "q": "iphone 13", "market": "US", "sort": "relevance", "includeDetails": false, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' ``` Or with the Apify CLI: `apify call backmarket-api-scraper -i input.json -o`. *** ### ❓ FAQ **Do I need an account or API key for Back Market?** No. The actor talks to Back Market's public/mobile API for you β€” you only need an Apify account. **Do I need a proxy?** A proxy is recommended for reliable runs; set `proxyConfiguration` (Residential is safest for geo-restricted or bot-protected sites). **What export formats are supported?** JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints. **Is scraping this legal?** You are responsible for how you use the data. Scrape only public product data and comply with Back Market.com's Terms and applicable law (e.g. GDPR/CCPA for personal data). *** ### πŸ› οΈ How it works The actor impersonates Back Market's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping β€” just clean, structured data. *** ### πŸ“Œ Good to know - Scrape only public product data and respect Back Market.com's Terms of Service and robots policy. - For personal data, comply with GDPR/CCPA and applicable law β€” you are the data controller. - Fields can be `null` when Back Market doesn't expose them for a given record. *** ### ⭐ Found this useful? Give the **Back Market Scraper** a star on Apify and check out my other `apify-*-api-scraper` actors. # Actor input Schema ## `q` (type: `string`): What to search for, e.g. "iphone 13", "macbook air", "galaxy s23". Leave empty and pick a Category to browse a whole category. ## `market` (type: `string`): Back Market storefront to search. US works from any IP; other markets may require a matching-country residential proxy. ## `brand` (type: `string`): Only products of this brand, e.g. "Apple", "Samsung", "Google". ## `condition` (type: `string`): Back Market condition grade to filter by. ## `storage` (type: `string`): Storage capacity, e.g. "128", "256 GB", "1 TB". ## `color` (type: `string`): Color name, e.g. "Midnight", "Black", "Silver". ## `minPrice` (type: `integer`): Minimum price in the market's currency. ## `maxPrice` (type: `integer`): Maximum price in the market's currency. ## `sort` (type: `string`): Result ordering. ## `includeDetails` (type: `boolean`): Enrich each product with its full detail page: all specifications, all images, price per condition grade, variant options, seller/merchant, warranty and reviews. Slower (one extra request per product). ## `maxItems` (type: `integer`): Maximum number of products to return. 0 = all matching products. ## `category` (type: `string`): Browse an entire category instead of a keyword search. Category names are US labels; for other markets, type the localized category name. ## `proxyConfiguration` (type: `object`): Route requests through a proxy (Apify Proxy by default). ## Actor input object example ```json { "q": "iphone 13", "market": "US", "sort": "relevance", "includeDetails": false, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "q": "iphone 13", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("rl1987/backmarket-api-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 = { "q": "iphone 13", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("rl1987/backmarket-api-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 '{ "q": "iphone 13", "proxyConfiguration": { "useApifyProxy": true } }' | apify call rl1987/backmarket-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rl1987/backmarket-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Back Market API Scraper", "description": "Scrape refurbished-device listings and full product detail from Back Market via its private mobile API. Keyword/category search with filters (brand, grade, price, storage, color), sorting, pagination; optional per-product enrichment (specs, images, price per grade, seller, warranty).", "version": "0.0", "x-build-id": "FthNXcyGNOKxiKCNC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rl1987~backmarket-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rl1987-backmarket-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rl1987~backmarket-api-scraper/runs": { "post": { "operationId": "runs-sync-rl1987-backmarket-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rl1987~backmarket-api-scraper/run-sync": { "post": { "operationId": "run-sync-rl1987-backmarket-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "q": { "title": "Search keyword", "type": "string", "description": "What to search for, e.g. \"iphone 13\", \"macbook air\", \"galaxy s23\". Leave empty and pick a Category to browse a whole category." }, "market": { "title": "Market (country)", "enum": [ "US", "FR", "GB", "DE", "ES", "IT", "BE", "NL", "AT", "FI", "PT", "IE", "GR", "SK", "SE", "JP", "AU" ], "type": "string", "description": "Back Market storefront to search. US works from any IP; other markets may require a matching-country residential proxy.", "default": "US" }, "brand": { "title": "Brand filter", "type": "string", "description": "Only products of this brand, e.g. \"Apple\", \"Samsung\", \"Google\"." }, "condition": { "title": "Condition grade", "enum": [ "premium", "excellent", "good", "fair" ], "type": "string", "description": "Back Market condition grade to filter by." }, "storage": { "title": "Storage filter", "type": "string", "description": "Storage capacity, e.g. \"128\", \"256 GB\", \"1 TB\"." }, "color": { "title": "Color filter", "type": "string", "description": "Color name, e.g. \"Midnight\", \"Black\", \"Silver\"." }, "minPrice": { "title": "Min price", "type": "integer", "description": "Minimum price in the market's currency." }, "maxPrice": { "title": "Max price", "type": "integer", "description": "Maximum price in the market's currency." }, "sort": { "title": "Sort order", "enum": [ "relevance", "price_asc", "price_desc" ], "type": "string", "description": "Result ordering.", "default": "relevance" }, "includeDetails": { "title": "Include full product detail", "type": "boolean", "description": "Enrich each product with its full detail page: all specifications, all images, price per condition grade, variant options, seller/merchant, warranty and reviews. Slower (one extra request per product).", "default": false }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of products to return. 0 = all matching products.", "default": 100 }, "category": { "title": "Category (browse)", "enum": [ "Smartphones", "Office laptops", "Notebooks & Ultrabooks", "Headphones", "PC monitors", "Desktops", "Earphones", "iPad", "MacBook M1", "Chromebooks", "Computer mice", "Speakers", "Keyboards", "Computer accessories", "MacBook", "Video games", "Watches", "Printers", "Video game accessories", "Apple Watch", "Vacuum cleaners", "Tablets", "MP3 & MP4 players", "All-in-one computers", "External hard drives", "Audio accessories", "Webcams", "Scanners", "Soundbars & Home cinemas", "PC docking stations", "Smartphone accessories", "Smartphone cases and protections", "Gaming consoles (retro)", "2 in 1 hybrid PCs" ], "type": "string", "description": "Browse an entire category instead of a keyword search. Category names are US labels; for other markets, type the localized category name." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Route requests through a proxy (Apify Proxy by default).", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```