# MediaMarkt.de Scraper - Prices, Offers & Reviews (`abotapi/mediamarkt-de-scraper`) Actor Scrape MediaMarkt Germany (mediamarkt.de) products: current price, strike-through original price + discount on offers, brand, EAN, category path, availability, image gallery, full spec sheet, other-seller offers, and reviews with ratings. Search keywords or paste links. - **URL**: https://apify.com/abotapi/mediamarkt-de-scraper.md - **Developed by:** [Abot API](https://apify.com/abotapi) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 product 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## MediaMarkt.de Product Scraper Pull rich product data from MediaMarkt Germany (mediamarkt.de), one of Germany's largest electronics retailers. Search by keyword and/or category with the site's own brand, price-range, and rating filters and native sort, or paste product, category, or search listing links directly. Every record includes the current price, and when a product genuinely carries a reduced original price, the strike-through price plus the computed discount amount and percentage. ### Why This Scraper? - **Was-price and discount, gated on the site's own signal, never guessed.** When a product carries a struck-through original price, both prices are captured plus the discount amount and percentage. A full-price product simply carries `originalPrice: null` -- nothing is fabricated. - **Real customer reviews.** Average rating, total review count, and each product's most recent reviews with rating, title, full text, date, and verified-purchaser flag. - **Full spec sheet on demand.** The flattened characteristics MediaMarkt itself shows per product -- RAM/CPU/display for a laptop, panel type/resolution for a TV, and so on -- never hardcoded to one category's fields. - **Marketplace-aware.** Distinguishes MediaMarkt's own retail offers from third-party marketplace sellers, including seller name and rating when a listing is a marketplace offer. - **Real site filters.** Brand, price range, minimum rating, and MediaMarkt's own sort order (price, rating, topseller, newest, availability) -- all verified live against the site's own controls, not guessed query parameters. - **Two ways in.** Keyword and/or category search, or paste any product/category/listing link and continue pagination automatically. - **Optional export to your apps.** Send results into Notion, Linear, Airtable, or any Apify MCP connector alongside the dataset. ### Data You Get | Field | Example value | |---|---| | productId / sku | `2986202` | | ean | `0198990974613` | | name | `Sample Notebook 16 Zoll` | | brand | `Sample Brand` | | category / categoryPath | `16 Zoll Laptops`, `["Computer & Büro", "Laptops & Notebooks", "16 Zoll Laptops"]` | | url | `https://www.mediamarkt.de/de/product/_sample-notebook-2986202.html` | | price / currency | `749`, `EUR` | | originalPrice / discountAmount / discountPercent | `1199`, `450`, `37` | | isOnSpecial / strikePriceType | `true`, `RRP` | | onlineAvailable / availabilityStatus | `true`, `ONLINE` | | isMarketplace / marketplaceSeller | `false`, `{"sellerId": "...", "sellerName": "Sample Seller", "sellerRating": 4.4}` | | image / images | `["https://assets.mmsrg.com/isr/.../ASSET_SAMPLE"]` | | specs | `{"Bildschirmdiagonale": "16 Zoll", "Arbeitsspeicher (RAM)": "16 GB"}` (flattened, varies per category) | | delivery / pickup | `{"status": "AVAILABLE", ...}`, `{"status": "AVAILABLE", "isPickable": true}` | | otherOffers | other sellers' offers for the same product, when present | | rating / reviewCount | `4.3`, `155` | | reviews.averageRating / reviews.totalReviewCount | `4.3`, `155` | | reviews.items[] | `[{"rating": 5, "title": "Sample title", "text": "Sample review text.", "reviewerName": "Sample User", "date": "2026-07-01T21:49:37.000Z", "isVerifiedPurchaser": true}]` | > Sample shape: values above are illustrative placeholders, not from a live product. ### How to Use **1. Keyword search, first page, with reviews (default):** ```json { "mode": "search", "searchTerm": "notebook", "maxItems": 20 } ```` **2. Category browse, filtered to a brand and price range, sorted by price:** ```json { "mode": "search", "categoryId": "362", "brands": ["ASUS"], "minPrice": 300, "maxPrice": 900, "sortBy": "PRICE_ASC", "maxItems": 50, "maxPages": 5 } ``` **3. Full product detail + reviews for pasted product links:** ```json { "mode": "url", "urls": ["https://www.mediamarkt.de/de/product/_sample-notebook-2986202.html"], "fetchDetails": true, "fetchReviews": true, "maxReviewsPerProduct": 10 } ``` **4. Paste a listing link and keep paginating forward:** ```json { "mode": "url", "urls": ["https://www.mediamarkt.de/de/search.html?query=kaffeemaschine"], "maxItems": 100, "maxPages": 10 } ``` ### Input Parameters | Parameter | Type | Description | |---|---|---| | `mode` | string | `search` or `url`. | | `searchTerm` | string | Free-text keyword (search mode only). | | `categoryId` | string | Numeric MediaMarkt category id, from a category URL like `.../laptops-notebooks-362.html` -> `362` (search mode only). | | `brands` | array | Exact brand names to keep (search mode only). | | `minRating` | integer | 1-5, minimum rating to keep (search mode only). | | `minPrice` / `maxPrice` | number | EUR price band to keep (search mode only). | | `sortBy` | string | `RELEVANCE`, `PRICE_ASC`, `PRICE_DESC`, `RATING`, `TOPSELLER`, `NEWEST`, or `AVAILABILITY` (search mode only). | | `urls` | array | Product, category, or listing URLs to scrape (url mode only). | | `fetchDetails` | boolean | Fetch full spec sheet, delivery/pickup detail, energy label, badges, and marketplace offers. | | `fetchReviews` | boolean | Fetch review summary and the product's most recent reviews. | | `maxReviewsPerProduct` | integer | Cap on reviews per product; `0` = all available on that page. | | `maxPages` | integer | Cap on result pages per search/category/URL entry; empty = unlimited. | | `maxItems` | integer | Cap on total products returned; `0` = unlimited. | | `proxy` | object | Apify proxy configuration. A residential connection is required for a reliable run (see below). | | `mcpConnectors` | array | Optional MCP connectors to export results into (Notion, Linear, Airtable, Apify). | | `notionParentPageUrl` | string | Notion connector only: page under which item pages are created. | | `maxNotifyListings` | integer | Cap on items exported to each connector per run. Does not affect the dataset. | ### Output Example ```json { "productId": "2986202", "sku": "2986202", "ean": "0198990974613", "name": "Sample Notebook 16 Zoll", "brand": "Sample Brand", "category": "16 Zoll Laptops", "categoryPath": ["Computer & Büro", "Laptops & Notebooks", "16 Zoll Laptops"], "url": "https://www.mediamarkt.de/de/product/_sample-notebook-2986202.html", "price": 749, "currency": "EUR", "originalPrice": 1199, "discountAmount": 450, "discountPercent": 37, "isOnSpecial": true, "strikePriceType": "RRP", "onlineAvailable": true, "availabilityStatus": "ONLINE", "isMarketplace": false, "image": "https://assets.mmsrg.com/isr/166325/c1/-/ASSET_SAMPLE", "images": ["https://assets.mmsrg.com/isr/166325/c1/-/ASSET_SAMPLE"], "rating": 4.3, "reviewCount": 155, "reviews": { "averageRating": 4.3, "totalReviewCount": 155, "items": [ { "rating": 5, "title": "Sample title", "text": "Sample review text.", "reviewerName": "Sample User", "date": "2026-07-01T21:49:37.000Z", "isVerifiedPurchaser": true } ] } } ``` > Sample shape: values above are illustrative placeholders, not from a live product. ### Send results into your apps (MCP connectors) Optionally pipe results into the apps you already use through Model Context Protocol (MCP) connectors. Authorize a connector once under Apify, Settings, Integrations, then select it in the `mcpConnectors` field. Each connector receives a condensed, human-readable summary per product (name plus key fields), while the complete record always stays in the Apify dataset. For Notion, set `notionParentPageUrl` to the page the item pages should be created under, and use `maxNotifyListings` to cap how many items are exported per connector per run. Supported connectors: Notion, Linear, Airtable, and Apify. Leave the field empty to skip; it never changes the dataset output. ### A note on plans mediamarkt.de requires a **residential** connection for a reliable run -- a datacenter or free-tier connection will very likely fail. The default proxy configuration already selects a residential connection in Germany; no extra setup is needed on any paid plan with residential proxy access. # Actor input Schema ## `mode` (type: `string`): 'search' finds products by keyword and/or a MediaMarkt category id, with the site's own brand/price filters and native sort. 'url' scrapes any product, category, or search listing page URL you paste, walking pagination forward automatically. ## `searchTerm` (type: `string`): Free-text keyword, e.g. 'notebook' or 'kaffeemaschine'. Leave empty if you set a Category id below. ## `categoryId` (type: `string`): The numeric id from a MediaMarkt category URL, e.g. mediamarkt.de/de/category/laptops-notebooks-362.html -> 362. Combine with a keyword to search within a category, or leave the keyword empty to browse the whole category. ## `brands` (type: `array`): Only return products from these brands, e.g. 'APPLE', 'LENOVO', 'ASUS', 'HP'. Match the exact brand name as shown on the site. Leave empty for all brands. ## `minRating` (type: `integer`): Only return products rated at or above this many stars, 1-5. ## `minPrice` (type: `number`): Only return products priced at or above this amount, in euros. ## `maxPrice` (type: `number`): Only return products priced at or below this amount, in euros. ## `sortBy` (type: `string`): MediaMarkt's own sort order, verified live by driving the site's sort dropdown -- reorders the full server-side result set, so it stays correct across pagination. ## `urls` (type: `array`): Paste one or more MediaMarkt product pages (.../product/\_-.html), category pages (.../category/-.html), or search listing pages (.../search.html?query=...). Pagination continues forward automatically from any ?page= already in the URL. Filter fields above are ignored in this mode. ## `fetchDetails` (type: `boolean`): Adds the full flattened spec sheet (varies per category -- RAM/CPU for a laptop, panel type for a TV), delivery/pickup availability detail, energy efficiency label, promo badges, and marketplace/other-seller offers from the product page. Current price, was-price/discount, rating and main image are already included without this toggle. ## `fetchReviews` (type: `boolean`): Fetch each product's review summary (average rating, total count) and its most recent reviews (rating, title, text, date, verified-purchaser flag). MediaMarkt renders its newest review page server-side; it does not expose a plain paginated route for a product's entire review history, so this returns that first page, capped by 'Max reviews per product'. Products with no reviews simply return an empty list. ## `maxReviewsPerProduct` (type: `integer`): Cap on reviews returned per product when 'Fetch reviews' is on (bounded by what the site's own product page renders, currently up to about 10). 0 = all available on that page. ## `maxPages` (type: `integer`): Stop after this many result pages per search/category/URL entry. Leave empty for no page limit -- the run stops at Max products total. ## `maxItems` (type: `integer`): Hard cap on total products returned across every search/category/URL entry. 0 = unlimited (still bounded by Max pages per search). ## `proxy` (type: `object`): A residential connection is required for a reliable run on this site. The default below already selects a residential connection in Germany. ## `mcpConnectors` (type: `array`): Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify -> Settings -> Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON; the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com). ## `notionParentPageUrl` (type: `string`): URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "searchTerm": "notebook", "brands": [], "sortBy": "RELEVANCE", "urls": [ "https://www.mediamarkt.de/de/search.html?query=notebook" ], "fetchDetails": false, "fetchReviews": true, "maxReviewsPerProduct": 10, "maxItems": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "DE" }, "maxNotifyListings": 50 } ``` # Actor output Schema ## `overview` (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 = { "mode": "search", "searchTerm": "notebook", "brands": [], "urls": [ "https://www.mediamarkt.de/de/search.html?query=notebook" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "DE" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/mediamarkt-de-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 = { "mode": "search", "searchTerm": "notebook", "brands": [], "urls": ["https://www.mediamarkt.de/de/search.html?query=notebook"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "DE", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/mediamarkt-de-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 '{ "mode": "search", "searchTerm": "notebook", "brands": [], "urls": [ "https://www.mediamarkt.de/de/search.html?query=notebook" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "DE" } }' | apify call abotapi/mediamarkt-de-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/mediamarkt-de-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MediaMarkt.de Scraper - Prices, Offers & Reviews", "description": "Scrape MediaMarkt Germany (mediamarkt.de) products: current price, strike-through original price + discount on offers, brand, EAN, category path, availability, image gallery, full spec sheet, other-seller offers, and reviews with ratings. Search keywords or paste links.", "version": "1.0", "x-build-id": "09IJQAHV2cwRRg49k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~mediamarkt-de-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-mediamarkt-de-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~mediamarkt-de-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-mediamarkt-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~mediamarkt-de-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-mediamarkt-de-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "'search' finds products by keyword and/or a MediaMarkt category id, with the site's own brand/price filters and native sort. 'url' scrapes any product, category, or search listing page URL you paste, walking pagination forward automatically.", "default": "search" }, "searchTerm": { "title": "Search keyword", "type": "string", "description": "Free-text keyword, e.g. 'notebook' or 'kaffeemaschine'. Leave empty if you set a Category id below." }, "categoryId": { "title": "Category id", "type": "string", "description": "The numeric id from a MediaMarkt category URL, e.g. mediamarkt.de/de/category/laptops-notebooks-362.html -> 362. Combine with a keyword to search within a category, or leave the keyword empty to browse the whole category." }, "brands": { "title": "Brands", "uniqueItems": true, "type": "array", "description": "Only return products from these brands, e.g. 'APPLE', 'LENOVO', 'ASUS', 'HP'. Match the exact brand name as shown on the site. Leave empty for all brands.", "items": { "type": "string" } }, "minRating": { "title": "Minimum rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only return products rated at or above this many stars, 1-5." }, "minPrice": { "title": "Minimum price (EUR)", "type": "number", "description": "Only return products priced at or above this amount, in euros." }, "maxPrice": { "title": "Maximum price (EUR)", "type": "number", "description": "Only return products priced at or below this amount, in euros." }, "sortBy": { "title": "Sort order", "enum": [ "RELEVANCE", "PRICE_ASC", "PRICE_DESC", "RATING", "TOPSELLER", "NEWEST", "AVAILABILITY" ], "type": "string", "description": "MediaMarkt's own sort order, verified live by driving the site's sort dropdown -- reorders the full server-side result set, so it stays correct across pagination.", "default": "RELEVANCE" }, "urls": { "title": "URLs to scrape", "uniqueItems": true, "type": "array", "description": "Paste one or more MediaMarkt product pages (.../product/_-.html), category pages (.../category/-.html), or search listing pages (.../search.html?query=...). Pagination continues forward automatically from any ?page= already in the URL. Filter fields above are ignored in this mode.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch full product detail", "type": "boolean", "description": "Adds the full flattened spec sheet (varies per category -- RAM/CPU for a laptop, panel type for a TV), delivery/pickup availability detail, energy efficiency label, promo badges, and marketplace/other-seller offers from the product page. Current price, was-price/discount, rating and main image are already included without this toggle.", "default": false }, "fetchReviews": { "title": "Fetch reviews", "type": "boolean", "description": "Fetch each product's review summary (average rating, total count) and its most recent reviews (rating, title, text, date, verified-purchaser flag). MediaMarkt renders its newest review page server-side; it does not expose a plain paginated route for a product's entire review history, so this returns that first page, capped by 'Max reviews per product'. Products with no reviews simply return an empty list.", "default": true }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 0, "type": "integer", "description": "Cap on reviews returned per product when 'Fetch reviews' is on (bounded by what the site's own product page renders, currently up to about 10). 0 = all available on that page.", "default": 10 }, "maxPages": { "title": "Max pages per search", "minimum": 0, "type": "integer", "description": "Stop after this many result pages per search/category/URL entry. Leave empty for no page limit -- the run stops at Max products total." }, "maxItems": { "title": "Max products total", "minimum": 0, "type": "integer", "description": "Hard cap on total products returned across every search/category/URL entry. 0 = unlimited (still bounded by Max pages per search).", "default": 20 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "A residential connection is required for a reliable run on this site. The default below already selects a residential connection in Germany.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "DE" } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize a connector once under Apify -> Settings -> Integrations, then select it here. The connector receives a condensed, human-readable summary per item (title + key fields), not the full JSON; the complete record stays in the dataset. Leave empty to skip. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } } ```