# Amazon Product Scraper (`maged120/amazon-scraper`) Actor Extract product listings, prices, reviews, and seller offers from any Amazon marketplace worldwide. - **URL**: https://apify.com/maged120/amazon-scraper.md - **Developed by:** [Maged](https://apify.com/maged120) (community) - **Categories:** Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 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 ## Amazon Product Scraper Extract **rich product data, prices, reviews, and seller offers** from any Amazon marketplace. ### What does Amazon Product Scraper do? Amazon Product Scraper collects structured product data from [Amazon](https://www.amazon.com) and all its international marketplaces using purpose-built, high-performance extraction. Run keyword searches with advanced filters (price range, department, sort, Prime-only), scrape full product detail pages, customer reviews, and third-party seller offers all in one run. Supports **20 Amazon marketplaces**: US, UK, Germany, France, Italy, Spain, Canada, Japan, Australia, Brazil, India, Mexico, Egypt, Netherlands, Poland, Sweden, Singapore, Saudi Arabia, UAE, and Turkey. ### Why use Amazon Product Scraper? - **Price intelligence** monitor competitors and track price changes at scale - **Product research** identify best-sellers, review sentiment, and market gaps - **Inventory monitoring** watch availability and seller counts across marketplaces - **Review analysis** aggregate customer feedback for NLP and sentiment scoring - **Lead generation** extract brand, manufacturer, and product data across categories - **Comparison shopping** gather all seller offers and conditions for a product ### How to use Amazon Product Scraper 1. Open the **Input** tab in Apify Console 2. Enter keywords, product URLs, or ASINs 3. Choose your Amazon marketplace (supports all 20 global domains) 4. Set filters: price range, department, sort order, Prime-only 5. Enable optional scrapers: Full Product Details, Reviews, Third-Party Offers 6. Configure proxy (residential recommended) and click **Start** 7. Download results as JSON, CSV, Excel, or XML from the **Dataset** tab ### Input | Field | Type | Description | |---|---|---| | `keywords` | string[] | Search terms (one per line) | | `startUrls` | URL[] | Amazon search/category/product URLs | | `asins` | string[] | Product ASINs to scrape directly | | `amazonDomain` | select | Marketplace: amazon.com, amazon.co.uk, amazon.de, etc. | | `sortBy` | select | Featured, Price Low-High, Review Rating, Newest, Best Sellers | | `department` | select | All Departments, Electronics, Books, Clothing, etc. | | `minPrice` / `maxPrice` | integer | Price range filter in local currency | | `primeOnly` | boolean | Only Prime-eligible products | | `maxResults` | integer | Total items cap (0 = unlimited) | | `maxPages` | integer | Search pages per keyword (default: 5, ~20 results/page) | | `scrapeProductDetails` | boolean | Visit each product page for full data | | `scrapeReviews` | boolean | Scrape customer reviews | | `maxReviewsPerProduct` | integer | Review cap per product | | `scrapeOffers` | boolean | Scrape all seller offers per product | | `proxyConfiguration` | proxy | Proxy settings (residential recommended) | #### Example input ```json { "keywords": ["wireless earbuds", "bluetooth speaker"], "amazonDomain": "amazon.com", "sortBy": "review-rank", "department": "electronics", "minPrice": 20, "maxPrice": 200, "maxResults": 500, "maxPages": 5, "scrapeProductDetails": true, "scrapeReviews": true, "maxReviewsPerProduct": 50, "scrapeOffers": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Data is organized into four entity types in a single dataset. Use the built-in **Dataset Views** to filter by type. #### Search Result row (`entityType: "searchResult"`) ```json { "entityType": "searchResult", "asin": "B0BDHWDR12", "title": "Sony WF-1000XM5 Wireless Earbuds", "url": "https://www.amazon.com/dp/B0BDHWDR12/", "thumbnailUrl": "https://m.media-amazon.com/images/I/...", "price": 229.99, "originalPrice": 299.99, "discountPercent": 23, "currency": "USD", "rating": 4.4, "reviewCount": 12540, "isPrime": true, "isSponsored": false, "badge": "Best Seller", "keyword": "wireless earbuds", "page": 1, "domain": "amazon.com" } ``` #### Product row (`entityType: "product"`) ```json { "entityType": "product", "asin": "B0BDHWDR12", "title": "Sony WF-1000XM5 True Wireless Bluetooth Noise Canceling Earbuds", "brand": "Sony", "price": 229.99, "originalPrice": 299.99, "discountPercent": 23, "rating": 4.4, "reviewCount": 12540, "availability": "In Stock", "isPrime": true, "mainImageUrl": "https://m.media-amazon.com/images/I/...", "imageUrls": ["https://...", "https://..."], "features": ["Industry-leading noise canceling", "30-hour battery life", "..."], "description": "Sony WF-1000XM5...", "technicalSpecs": { "Connectivity Technology": "Bluetooth", "Item Weight": "5.9 ounces", "Item Dimensions LxWxH": "1.97 x 1.06 x 0.91 inches" }, "bestSellerRank": [{ "rank": 3, "category": "Earbud & In-Ear Headphones" }], "categories": ["Electronics", "Headphones", "Earbud Headphones"], "dimensions": "1.97 x 1.06 x 0.91 inches", "weight": "5.9 ounces", "countryOfOrigin": "Malaysia", "soldBy": "Amazon.com", "shipFrom": "Amazon", "variationsCount": null, "currency": "USD", "domain": "amazon.com" } ``` #### Review row (`entityType: "review"`) ```json { "entityType": "review", "asin": "B0BDHWDR12", "reviewId": "R2ABCDEF123456", "author": "John D.", "rating": 5.0, "title": "Best earbuds I've ever owned", "body": "Sound quality is exceptional...", "date": "April 15, 2024", "country": "the United States", "isVerifiedPurchase": true, "helpfulVotes": 47, "variant": "Black" } ``` #### Offer row (`entityType: "offer"`) ```json { "entityType": "offer", "asin": "B0BDHWDR12", "condition": "New", "price": 219.95, "shippingPrice": 0.0, "sellerName": "Certified Electronics", "sellerRating": 4.8, "isPrime": true, "currency": "USD" } ``` You can download the dataset in JSON, HTML, CSV, or Excel from the Output tab. ### Dataset Views The Output tab includes five built-in views: | View | Shows | |---|---| | **All Results** | Combined overview of all entity types | | **Search Results** | SERP listings with price, rating, thumbnail | | **Products** | Full product details with image column | | **Reviews** | Customer reviews with author and rating | | **Seller Offers** | Third-party offers with condition and seller | ### Pricing / Cost Estimation Amazon Product Scraper bills per dataset item pushed. | Mode | Items per run | Approx. compute units | |---|---|---| | 1 keyword, 5 pages (~100 results) | ~100 | ~0.05 CU | | 100 ASINs with full product details | ~100 | ~0.15 CU | | 100 ASINs + 20 reviews each | ~2,100 | ~0.5 CU | | 500 keyword results + full details | ~1,000 | ~0.8 CU | **Tip:** Disable `scrapeProductDetails` for fast bulk SERP collection at minimal cost. Enable it only when you need the full product data. ### Tips - **Proxy usage**: Always use residential proxy on Amazon. datacenter proxies will be blocked within a few pages. - **Large keyword lists**: Set `maxResults` per run and schedule multiple runs with different keyword batches. - **Price tracking**: Scrape ASINs directly with `scrapeProductDetails: true` and `scrapeOffers: true` for a full price picture across all sellers. - **Department filtering**: Use the `department` field to restrict searches and improve relevance. ### FAQ & Disclaimer **Is this legal?** Web scraping publicly available data is generally lawful under EU and US law. This actor only accesses publicly visible product pages no login, no private data. Users are responsible for complying with Amazon's Terms of Service and applicable laws in their jurisdiction. **What data is NOT collected?** Prices behind login walls, Prime subscriber-only content, or any personally identifiable information. **Can I scrape a specific country's prices?** Yes set `amazonDomain` to the corresponding marketplace (e.g., `amazon.de` for Germany, `amazon.co.jp` for Japan). For bugs or feature requests, open an issue in the Issues tab. # Actor input Schema ## `keywords` (type: `array`): Keywords to search on Amazon. One keyword per entry. ## `startUrls` (type: `array`): Amazon search, category, or product page URLs to scrape directly. ## `asins` (type: `array`): Amazon Standard Identification Numbers to scrape directly. One per line. ## `amazonDomain` (type: `string`): Which Amazon marketplace to scrape. ## `sortBy` (type: `string`): Sort order for search results. ## `department` (type: `string`): Limit search to a specific Amazon department. ## `minPrice` (type: `integer`): Minimum product price filter (in marketplace currency). Leave empty for no minimum. ## `maxPrice` (type: `integer`): Maximum product price filter (in marketplace currency). Leave empty for no maximum. ## `primeOnly` (type: `boolean`): Only return products eligible for Amazon Prime shipping. ## `maxResults` (type: `integer`): Maximum total dataset items to push (0 = unlimited). ## `maxPages` (type: `integer`): Maximum search result pages per keyword (each page ~20 results). ## `scrapeProductDetails` (type: `boolean`): Visit each product page: description, specs, images, BSR, brand, availability, variations. ## `scrapeReviews` (type: `boolean`): Scrape customer reviews for each product. ## `maxReviewsPerProduct` (type: `integer`): Maximum customer reviews per product (0 = unlimited). ## `scrapeOffers` (type: `boolean`): Scrape all seller offers per product (price, condition, seller, shipping). ## `outputSearchResults` (type: `boolean`): Push one dataset row per search result (quick data: title, price, rating, thumbnail). ## `outputProducts` (type: `boolean`): Push one dataset row per full product detail page. ## `outputReviews` (type: `boolean`): Push one dataset row per customer review. ## `outputOffers` (type: `boolean`): Push one dataset row per third-party seller offer. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxy is strongly recommended for Amazon. ## Actor input object example ```json { "keywords": [ "wireless earbuds" ], "amazonDomain": "amazon.com", "sortBy": "relevanceblender", "department": "aps", "maxPrice": 200, "primeOnly": false, "maxResults": 200, "maxPages": 1, "scrapeProductDetails": false, "scrapeReviews": false, "maxReviewsPerProduct": 20, "scrapeOffers": false, "outputSearchResults": true, "outputProducts": true, "outputReviews": true, "outputOffers": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "keywords": [ "wireless earbuds" ], "amazonDomain": "amazon.com", "maxResults": 200, "maxPages": 1, "maxReviewsPerProduct": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("maged120/amazon-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 = { "keywords": ["wireless earbuds"], "amazonDomain": "amazon.com", "maxResults": 200, "maxPages": 1, "maxReviewsPerProduct": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("maged120/amazon-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 '{ "keywords": [ "wireless earbuds" ], "amazonDomain": "amazon.com", "maxResults": 200, "maxPages": 1, "maxReviewsPerProduct": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call maged120/amazon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maged120/amazon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Scraper", "description": "Extract product listings, prices, reviews, and seller offers from any Amazon marketplace worldwide.", "version": "1.0", "x-build-id": "LUhwW4SiSw1c3jxlM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~amazon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maged120~amazon-scraper/runs": { "post": { "operationId": "runs-sync-maged120-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maged120~amazon-scraper/run-sync": { "post": { "operationId": "run-sync-maged120-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search Keywords", "type": "array", "description": "Keywords to search on Amazon. One keyword per entry.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Amazon search, category, or product page URLs to scrape directly.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "asins": { "title": "Product ASINs", "type": "array", "description": "Amazon Standard Identification Numbers to scrape directly. One per line.", "items": { "type": "string" } }, "amazonDomain": { "title": "Amazon Marketplace", "enum": [ "amazon.com", "amazon.co.uk", "amazon.de", "amazon.fr", "amazon.it", "amazon.es", "amazon.ca", "amazon.co.jp", "amazon.com.au", "amazon.com.br", "amazon.in", "amazon.com.mx", "amazon.eg", "amazon.nl", "amazon.pl", "amazon.se", "amazon.sg", "amazon.sa", "amazon.ae", "amazon.com.tr" ], "type": "string", "description": "Which Amazon marketplace to scrape.", "default": "amazon.com" }, "sortBy": { "title": "Sort Results By", "enum": [ "relevanceblender", "price-asc-rank", "price-desc-rank", "review-rank", "date-range-rank", "exact-aware-popularity-rank" ], "type": "string", "description": "Sort order for search results.", "default": "relevanceblender" }, "department": { "title": "Department / Category", "enum": [ "aps", "electronics", "stripbooks-intl-ship", "apparel", "automotive", "baby-products", "beauty", "computers", "garden", "grocery", "health-personal-care", "home-garden", "industrial", "digital-text", "movies-tv", "music", "musical-instruments", "office-products", "pets", "photo", "software", "sporting", "tools", "toys-and-games", "videogames", "handmade" ], "type": "string", "description": "Limit search to a specific Amazon department.", "default": "aps" }, "minPrice": { "title": "Minimum Price", "minimum": 0, "type": "integer", "description": "Minimum product price filter (in marketplace currency). Leave empty for no minimum." }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "type": "integer", "description": "Maximum product price filter (in marketplace currency). Leave empty for no maximum.", "default": 200 }, "primeOnly": { "title": "Prime Eligible Only", "type": "boolean", "description": "Only return products eligible for Amazon Prime shipping.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum total dataset items to push (0 = unlimited).", "default": 200 }, "maxPages": { "title": "Max Search Pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum search result pages per keyword (each page ~20 results).", "default": 1 }, "scrapeProductDetails": { "title": "Scrape Full Product Details", "type": "boolean", "description": "Visit each product page: description, specs, images, BSR, brand, availability, variations.", "default": false }, "scrapeReviews": { "title": "Scrape Customer Reviews", "type": "boolean", "description": "Scrape customer reviews for each product.", "default": false }, "maxReviewsPerProduct": { "title": "Max Reviews Per Product", "minimum": 0, "type": "integer", "description": "Maximum customer reviews per product (0 = unlimited).", "default": 20 }, "scrapeOffers": { "title": "Scrape Third-Party Offers", "type": "boolean", "description": "Scrape all seller offers per product (price, condition, seller, shipping).", "default": false }, "outputSearchResults": { "title": "Output Search Result Rows", "type": "boolean", "description": "Push one dataset row per search result (quick data: title, price, rating, thumbnail).", "default": true }, "outputProducts": { "title": "Output Full Product Rows", "type": "boolean", "description": "Push one dataset row per full product detail page.", "default": true }, "outputReviews": { "title": "Output Review Rows", "type": "boolean", "description": "Push one dataset row per customer review.", "default": true }, "outputOffers": { "title": "Output Offer Rows", "type": "boolean", "description": "Push one dataset row per third-party seller offer.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxy is strongly recommended for Amazon." } } }, "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 } } } } } } } } } } ```