# Back Market Scraper | Refurbished Electronics Listings (`parseforge/backmarket-scraper`) Actor Scrape refurbished phones, laptops, tablets, and consoles from Back Market with price, grade, seller, condition, warranty, ratings, and reviews. Compare offers across categories and countries for price monitoring, resale arbitrage, and market research workflows. - **URL**: https://apify.com/parseforge/backmarket-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** E-commerce, Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 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. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## โ™ป๏ธ Back Market Scraper > ๐Ÿš€ **Export Back Market refurbished electronics listings in seconds.** Search by keyword, filter by condition and price, and get structured data on prices, grades, ratings, warranties and more - no account required. > ๐Ÿ•’ **Last updated:** 2026-05-21 ยท **๐Ÿ“Š 19 fields** per record ยท **Up to 1,000,000 listings** ยท **US marketplace (en-us)** The Back Market Scraper extracts real-time product data from Back Market's refurbished electronics marketplace. It uses Back Market's internal search API to retrieve listings for any keyword - iPhones, Samsung phones, MacBooks, laptops, tablets, cameras, and any other refurbished electronics. Each record includes pricing, discount vs. original retail price, Back Market condition grade, seller rating, warranty duration, and product category. **Dataset provenance:** All data is scraped directly from Back Market's live search index in real-time. No cached or static datasets. Every run reflects current listings and pricing. Back Market lists millions of certified refurbished devices across smartphones, computers, audio equipment, and more. This scraper covers the full US catalog searchable by keyword, with optional filters for condition grade, price range, and sort order. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Price comparison services | Monitor refurbished vs new pricing | | Consumer electronics retailers | Track competitor pricing and availability | | Data journalists | Research the refurbished device market | | Personal finance tools | Find cheapest certified refurbished devices | | Market researchers | Analyze refurbished electronics demand | | Deal aggregators | Curate best-value refurbished deals | ### ๐Ÿ“‹ What the Back Market Scraper does - Searches Back Market by any keyword (brand, model, category) - Returns real-time listings with current prices and discounts - Includes Back Market's condition grades (Fair, Good, Excellent) - Captures seller ratings, review counts, and warranty terms - Supports price range filtering and multiple sort orders - Paginates automatically to collect up to 1,000,000 items - Runs in under 30 seconds for most searches > ๐Ÿ’ก **Why it matters:** Back Market is one of the world's largest certified refurbished marketplaces. Tracking pricing and availability data enables smarter purchasing decisions, competitive intelligence, and market trend analysis for the growing secondary electronics market. ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon_ ### โš™๏ธ Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `searchQuery` | String | Yes | `iphone 13` | Keyword to search for | | `maxItems` | Integer | No | 10 | Maximum items to return | | `sortBy` | Select | No | `best_sales` | Sort order (best_sales, price_asc, price_desc) | | `minPrice` | Integer | No | - | Minimum price filter (USD) | | `maxPrice` | Integer | No | - | Maximum price filter (USD) | | `condition` | Select | No | All | Condition filter (Excellent, Good, Fair) | **Example - Basic search:** ```json { "searchQuery": "iphone 13", "maxItems": 50 } ```` **Example - Filtered search:** ```json { "searchQuery": "macbook pro", "maxItems": 100, "sortBy": "price_asc", "minPrice": 200, "maxPrice": 800, "condition": "Good" } ``` > โš ๏ธ **Good to Know:** Free users are automatically limited to 10 items per run. Upgrade to a paid plan to unlock up to 1,000,000 items. The `maxItems` field is never required - omit it to collect all available results (paid users only). ### ๐Ÿ“Š Output Each item in the dataset contains 19 fields: | Field | Type | Description | |---|---|---| | ๐Ÿ–ผ `imageUrl` | String | Product image URL | | ๐Ÿ“Œ `title` | String | Full product title | | ๐Ÿท `brand` | String | Brand name (lowercase) | | ๐Ÿ”— `url` | String | Product listing URL with grade param | | ๐Ÿ†” `id` | String | Unique product UUID | | ๐Ÿ’ฐ `price` | Number | Current refurbished price (USD) | | ๐Ÿ’ฑ `currency` | String | Currency code (USD) | | ๐Ÿท `originalPrice` | Number | Original new retail price | | ๐Ÿ“‰ `discount` | Number | Discount percentage vs original price | | โœ… `condition` | String | Always "Refurbished" | | โญ `grade` | String | Back Market grade (Fair, Good, Excellent) | | โญ `rating` | Number | Seller rating (out of 5) | | ๐Ÿ’ฌ `reviewCount` | Integer | Number of seller reviews | | ๐Ÿช `seller` | String | Merchant ID | | ๐Ÿ›ก `warranty` | String | Warranty duration (e.g. "12 months") | | ๐Ÿ“‚ `category` | String | Product category (e.g. Smartphones) | | ๐Ÿ“ `subcategory` | String | Product model/subcategory | | ๐Ÿ•’ `scrapedAt` | String | ISO timestamp | | โŒ `error` | String | Error message (null if successful) | **Sample records (real data from live run):** ```json [ { "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/fb844a75-3143-49ea-aced-7f426a9bd57f-1_cdcc8fe9-5600-4bb8-a751-e1d1eb0bd97b.jpg", "title": "iPhone 13 128GB - Blue - Unlocked", "brand": "apple", "url": "https://www.backmarket.com/en-us/p/iphone-13-128-gb-blue-fully-unlocked-gsm-cdma/fb844a75-3143-49ea-aced-7f426a9bd57f?l=12", "id": "fb844a75-3143-49ea-aced-7f426a9bd57f", "price": 232, "currency": "USD", "originalPrice": 629, "discount": 63, "condition": "Refurbished", "grade": "Fair", "rating": 4.38, "reviewCount": 5726, "seller": "1592", "warranty": "12 months", "category": "Smartphones", "subcategory": "iphone 13", "scrapedAt": "2026-05-22T01:05:29.009Z", "error": null }, { "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/94222415-fcc0-4c03-99df-4edc011178f0-1_76a4cd2c-b116-4149-a8a6-59fad26ce8ba.jpg", "title": "iPhone 13 mini 128GB - Blue - Unlocked", "brand": "apple", "url": "https://www.backmarket.com/en-us/p/iphone-13-128-gb-blue-fully-unlocked-gsm-cdma/94222415-fcc0-4c03-99df-4edc011178f0?l=11", "id": "94222415-fcc0-4c03-99df-4edc011178f0", "price": 228.44, "currency": "USD", "originalPrice": 629, "discount": 64, "condition": "Refurbished", "grade": "Good", "rating": 4.24, "reviewCount": 2278, "seller": "1720", "warranty": "12 months", "category": "Smartphones", "subcategory": "iphone 13 mini", "scrapedAt": "2026-05-22T01:05:29.009Z", "error": null }, { "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/094b7262-78cb-4826-938e-c3ba597fc8e6-1_6120087c-c1df-4e70-8590-797163fcf4ef.jpg", "title": "iPhone 13 Pro 128GB - Graphite - Unlocked", "brand": "apple", "url": "https://www.backmarket.com/en-us/p/iphone-13-pro-128-gb-graphite-fully-unlocked-gsm-cdma/094b7262-78cb-4826-938e-c3ba597fc8e6?l=11", "id": "094b7262-78cb-4826-938e-c3ba597fc8e6", "price": 335, "currency": "USD", "originalPrice": 899, "discount": 63, "condition": "Refurbished", "grade": "Good", "rating": 4.29, "reviewCount": 2452, "seller": "8646", "warranty": "12 months", "category": "Smartphones", "subcategory": "iphone 13 pro", "scrapedAt": "2026-05-22T01:05:29.009Z", "error": null } ] ``` ### โœจ Why choose this Actor - โšก **Fast** - Returns results in under 30 seconds for most searches - ๐Ÿ”„ **Real-time** - Live data from Back Market's search index, not cached - ๐Ÿ“Š **Complete** - 19 fields including discount %, grade, warranty, and rating - ๐Ÿ” **Flexible** - Search any keyword, filter by price and condition - ๐Ÿ›ก **Reliable** - Uses Back Market's internal API - no HTML parsing fragility - ๐Ÿ’ธ **Cost-effective** - Pay-per-event pricing means you pay only for what you collect - ๐ŸŒ **No login needed** - Scrapes publicly available listing data ### ๐Ÿ“ˆ How it compares to alternatives | Feature | This Actor | Manual Browsing | Generic Scrapers | |---|---|---|---| | Speed | Under 30s | Hours | Variable | | Data structure | Structured JSON | Manual entry | Unreliable | | Discount calculation | Auto-calculated | Manual | Rarely included | | Grade/condition | Extracted | Manual | Often missed | | Scale | Up to 1M items | Impractical | Limited | | Maintenance | Actively maintained | N/A | Breaks often | ### ๐Ÿš€ How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) on Apify 2. Go to the [Back Market Scraper](https://apify.com/parseforge/backmarket-scraper) page 3. Click **Try for free** 4. Enter your search query (e.g. "iphone 14 pro", "samsung galaxy s23", "macbook air") 5. Set optional filters and click **Start** - results are ready in seconds ### ๐Ÿ’ผ Business use cases #### Price Intelligence Monitor Back Market pricing for competitive intelligence. Track how refurbished prices fluctuate relative to new device launches. Build dashboards showing price trends for specific models across condition grades. #### Deal Aggregation Power a deal-finding platform with real-time Back Market data. Surface the highest-discount items, filter by grade for quality, and notify users when prices drop below thresholds. The discount field makes it trivial to find the best deals. #### Market Research Analyze the refurbished electronics market at scale. Which brands have the most listings? What's the average discount by category? How does warranty coverage vary? Answer these questions with structured data from thousands of listings. #### Consumer Finance Tools Help users decide between buying new vs. refurbished. Integrate Back Market pricing into personal finance apps, comparison tools, and budget calculators. The `originalPrice` vs `price` fields make this straightforward. ### ๐Ÿ”Œ Automating Back Market Scraper Automate this actor using Apify integrations: - **Make (Integromat)** - Schedule daily price monitoring runs and push results to Google Sheets - **Zapier** - Trigger workflows when new listings appear below a target price - **Slack** - Get notified with top deals for your saved searches - **Google Sheets** - Automatically populate and refresh pricing spreadsheets - **Webhooks** - Stream results to any custom endpoint or data pipeline ### ๐ŸŒŸ Beyond business use cases #### Personal Shopping Never overpay for a refurbished device. Run a search before purchasing to ensure you're getting the best price across condition grades and sellers. #### Academic Research Study the secondary electronics market, pricing dynamics, and consumer behavior patterns in the refurbished goods economy. #### Sustainability Analytics Track the volume and pricing of refurbished electronics as a proxy for circular economy adoption and e-waste reduction trends. #### Developer Experimentation Use real product data as a dataset for testing recommendation algorithms, price prediction models, or NLP experiments on product titles. ### ๐Ÿค– Ask an AI assistant about this scraper You can ask an AI assistant like Claude or ChatGPT to help you use this scraper. Try: - "How do I filter Back Market listings under $300 in Good condition?" - "What fields does the Back Market Scraper return?" - "Write a Python script to analyze the discount field from Back Market data" - "How do I schedule this actor to run daily and export to Google Sheets?" ### โ“ Frequently Asked Questions **Q: Does this require a Back Market account?** A: No. The scraper collects publicly available listing data without any login. **Q: How current is the pricing data?** A: Data is fetched in real-time from Back Market's search index at the moment you run the actor. Prices reflect live availability. **Q: What's the difference between condition and grade?** A: `condition` is always "Refurbished" (Back Market's product type). `grade` is Back Market's quality tier: Fair, Good, or Excellent. **Q: How many items can I collect?** A: Free users: up to 10 items per run. Paid users: up to 1,000,000 items. **Q: Can I search for any product category?** A: Yes - use any keyword that works on Back Market's search page: phones, laptops, tablets, cameras, headphones, gaming consoles, etc. **Q: How do I filter by price range?** A: Use the `minPrice` and `maxPrice` input fields (values in USD). **Q: Can I sort by price?** A: Yes - set `sortBy` to `price_asc` for cheapest first or `price_desc` for most expensive first. **Q: What does the discount field represent?** A: It's the percentage savings vs. the `originalPrice` (original new retail price). Calculated as `round((1 - price/originalPrice) * 100)`. **Q: Is the seller ID useful?** A: The `seller` field contains the merchant ID. You can use it to group listings by seller or filter to specific sellers you trust. **Q: What's the warranty field format?** A: It's a human-readable string like "12 months". Back Market guarantees a minimum 1-year warranty on all listings. **Q: How fast does it run?** A: Most searches complete in under 30 seconds. Large collections (10,000+ items) may take a few minutes. **Q: Does it handle pagination automatically?** A: Yes. The actor paginates through all result pages up to your `maxItems` limit. ### ๐Ÿ”Œ Integrate with any app Export results as **JSON**, **CSV**, **Excel**, **XML**, or **RSS** from Apify's dataset viewer. Integrate via: - **REST API** - Access datasets programmatically - **Webhooks** - Trigger external workflows on run completion - **Apify Scheduler** - Run on a cron schedule - **Make / Zapier** - No-code automation - **Google Sheets** - Built-in export integration - **Slack / Discord** - Notification integrations - **BigQuery / Snowflake** - Data warehouse connectors ### ๐Ÿ”— Recommended Actors | Actor | Description | |---|---| | [Depop Scraper](https://apify.com/parseforge/depop-scraper) | Scrape secondhand fashion listings from Depop | | [Vinted Scraper](https://apify.com/parseforge/vinted-scraper) | Extract pre-owned clothing data from Vinted | | [eBay Scraper](https://apify.com/parseforge/ebay-scraper) | Scrape eBay listings for price comparison | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for scrapers covering 100+ marketplaces and data sources. **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** This is an independent tool and is not affiliated with, endorsed by, or connected to Back Market in any way. Only publicly available data that any visitor can see in their browser is collected. Use responsibly and in accordance with Back Market's terms of service. # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search for (e.g. 'iphone 13', 'samsung galaxy', 'macbook pro') ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `sortBy` (type: `string`): Sort order for results ## `minPrice` (type: `integer`): Minimum price filter in USD ## `maxPrice` (type: `integer`): Maximum price filter in USD ## `condition` (type: `string`): Filter by product condition grade ## Actor input object example ```json { "searchQuery": "iphone 13", "maxItems": 10, "sortBy": "best_sales" } ``` # 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 = { "searchQuery": "iphone 13", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/backmarket-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQuery": "iphone 13", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/backmarket-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "iphone 13", "maxItems": 10 }' | apify call parseforge/backmarket-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/backmarket-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Back Market Scraper | Refurbished Electronics Listings", "description": "Scrape refurbished phones, laptops, tablets, and consoles from Back Market with price, grade, seller, condition, warranty, ratings, and reviews. Compare offers across categories and countries for price monitoring, resale arbitrage, and market research workflows.", "version": "0.1", "x-build-id": "jddu0ZchSp5r6A4V8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~backmarket-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~backmarket-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-backmarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~backmarket-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-backmarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for (e.g. 'iphone 13', 'samsung galaxy', 'macbook pro')" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "sortBy": { "title": "Sort By", "enum": [ "best_sales", "price_asc", "price_desc" ], "type": "string", "description": "Sort order for results", "default": "best_sales" }, "minPrice": { "title": "Min Price (USD)", "minimum": 0, "type": "integer", "description": "Minimum price filter in USD" }, "maxPrice": { "title": "Max Price (USD)", "minimum": 0, "type": "integer", "description": "Maximum price filter in USD" }, "condition": { "title": "Condition / Grade", "enum": [ "", "Excellent", "Good", "Fair" ], "type": "string", "description": "Filter by product condition grade" } } }, "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 } } } } } } } } } } ```