# eMag Product & Offers Scraper (`scraping_crew/emag-product-and-offers`) Actor Extract structured product and pricing data from eMag — the largest online marketplace in Bulgaria, Romania, and Hungary. Supports category pages, brand filters, and multi-seller offer comparison. - **URL**: https://apify.com/scraping\_crew/emag-product-and-offers.md - **Developed by:** [Scraping Crew](https://apify.com/scraping_crew) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 products This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## eMag Product & Offers Scraper **Extract product data and compare all seller prices from eMag — the #1 online marketplace in Bulgaria, Romania, and Hungary — without writing a single line of code.** Whether you are a price intelligence analyst, a brand manager, an e-commerce retailer, or a data scientist, this scraper gives you instant, structured access to everything eMag shows on its shelves: names, prices, images, ratings, EAN codes, categories, and the full list of third-party sellers competing for each product. ### What does eMag Product & Offers Scraper do? This Actor connects to [eMag](https://www.emag.bg) — the largest online retail platform across Southeast Europe — and extracts clean, ready-to-use product data from any category page or brand filter page you point it at. For every product it finds, it goes one step further than a standard scraper. It retrieve every seller who is currently listing that product, along with their individual price. This means you get not just the "featured" price you see on the listing page, but the **complete marketplace picture** — every seller, every price, all at once. You can download all results as JSON, CSV, Excel, or HTML directly from the Apify platform. ### Why use eMag Product & Offers Scraper? - **Three-country coverage** — works across all three eMag storefronts: [emag.bg](https://www.emag.bg) (Bulgaria), [emag.ro](https://www.emag.ro) (Romania), and [emag.hu](https://www.emag.hu) (Hungary). One tool, three markets. - **Full seller landscape with multi-offer data** — most scrapers only return the buy-box winner. This Actor calls the dedicated multi-offer endpoint for each product and returns every active seller side by side, so you see the true competitive landscape at a glance. - **Genius & Black Friday flags** — each product and each individual offer is tagged with whether it is part of the eMag Genius loyalty programme, exclusive to Genius members only, or currently carrying a Black Friday promotional price. - **Historically lowest price** — captures the 30-day lowest price ("old price") alongside the current price, giving you built-in price history context. - **No technical setup required** — just paste your eMag category URL, click Run, and get your data. - **Runs on Apify cloud** — no servers to manage, built-in scheduling so you can monitor prices daily. ### How to use eMag Product & Offers Scraper 1. **Open the Actor** on the Apify platform and click **Try for free**. 2. **Paste your eMag URL** into the Start URLs field. This can be any category page (e.g. `https://www.emag.bg/televizori/c`) or a brand-filtered page (e.g. `https://www.emag.ro/telefoane/brand/samsung/c`). Works for Bulgaria (`.bg`), Romania (`.ro`), and Hungary (`.hu`). 3. **(Optional) Configure proxy** — if you want to run at high volume, enable Apify Proxy for smoother, uninterrupted collection. 4. **Click Run** and wait for the Actor to finish. Most category pages complete in a few minutes. 5. **Download your data** from the Output tab in JSON, CSV, or Excel — or connect directly to your pipeline via the Apify API. ### Input | Field | Type | Default | Description | Required | |-------|------|---------|-------------|----------| | **Start URLs** | array | — | eMag category or brand page URLs to scrape | Yes | | **Allowed Domains** | array | eMag BG/RO/HU domains | Domains the scraper is permitted to visit | No | | **Proxy Configuration** | object | disabled | Optional proxy settings for high-volume runs | No | | **Max Items** | integer | 10 | Maximum number of products to scrape. Set to `0` for no limit. This is a soft limit — actual count may exceed it depending on Concurrent Requests (see below) | No | | **Get Offers** | boolean | false | Collects all seller offers per product and appends them as an `offers` field. **Included at no extra charge.** Only products with multiple sellers will have a non-empty array. Configuring a proxy significantly increases success rates | No | | **Get Reviews** | boolean | false | Collects all customer reviews per product and appends them as a `reviews` field. Charges $0.0003 per 100 reviews (or part thereof) per product. Products with no reviews return an empty array and are not charged. Configuring a proxy significantly increases success rates | No | | **Concurrent Requests** | integer (1–16) | 1 | Number of parallel HTTP requests. Higher values increase speed but widen the gap between scraped items and Max Items — each in-flight request can return up to 100 products, so 16 concurrent requests could overshoot by up to 1,600 items | No | **Example input:** ```json { "startUrls": [ { "url": "https://www.emag.bg/televizori/brand/lg/c" }, { "url": "https://www.emag.ro/laptopuri/brand/apple/c" } ], "maxItems": 500, "concurrentRequests": 4, "getOffers": true, "getReviews": false } ```` ### Output Each item in the dataset represents one product. The `offers` field contains the full multi-seller breakdown — one entry per seller who is actively listing that product on eMag. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. **Example output item:** ```json { "sku": "TVLG55UR78003LKXXH", "name": "LG 55UR78003LK 4K UHD Smart TV, 139 cm", "brand": "LG", "ean": ["8806087089851"], "partNums": ["55UR78003LK"], "category": ["Televizori", "LCD televizori"], "product_url": "https://www.emag.bg/lg-55ur78003lk-televizor/pd/XXXXX/", "listing_url": "https://www.emag.bg/televizori/brand/lg/c", "images": [ "https://s13emagst.akamaized.net/products/XXX/XXX/images/res_XXXXX_1.jpg" ], "price": "1299.99", "old_price": "1499.99", "rating": 4, "is_genius": true, "exclusive_for_genius_users": false, "is_bf_price": false, "offers": [ { "seller": "eMag", "price": 1299.99, "is_genius": true, "exclusive_for_genius_users": false, "is_bf_price": false }, { "seller": "TechStore BG", "price": 1349.00, "is_genius": false, "exclusive_for_genius_users": false, "is_bf_price": false } ], "reviews": [ { "user": "Ivan P.", "review": "Excellent picture quality, very happy with the purchase.", "rating": 5, "published_at": "2025-04-10T08:23:11" }, { "user": "Maria K.", "review": "Good TV for the price, setup was easy.", "rating": 4, "published_at": "2025-03-02T14:05:44" } ] } ``` ### Data fields | Field | Type | Description | |-------|------|-------------| | `sku` | `string` | eMag internal product identifier | | `name` | `string` | Full product name as shown on eMag | | `brand` | `string` | Brand name | | `ean` | `string[]` | EAN/barcode(s) for the product | | `partNums` | `string[]` | Manufacturer part numbers | | `category` | `string[]` | Category breadcrumb trail | | `product_url` | `string` | Direct link to the product page | | `listing_url` | `string` | The source category/brand URL you provided | | `images` | `string[]` | Full-resolution product image URLs | | `price` | `string` | Current listed price | | `old_price` | `string` | Lowest price in the past 30 days (for price history context) | | `rating` | `integer` | Average customer rating | | `is_genius` | `boolean` | Whether the product qualifies for the eMag Genius loyalty programme | | `exclusive_for_genius_users` | `boolean` | Whether the product is available only to Genius members | | `is_bf_price` | `boolean` | Whether the current price is a Black Friday promotional price | | `offers` | `object[]` | **Full multi-seller list** — each object contains `seller` (string), `price` (number), `is_genius` (boolean), `exclusive_for_genius_users` (boolean), `is_bf_price` (boolean) | | `reviews` | `object[]` | *(Optional)* Customer reviews — only present when **Get Reviews** is enabled. Each object contains `user` (string), `review` (string), `rating` (integer), `published_at` (string). Empty array if the product has no reviews | ### Three-country support The same Actor works seamlessly across all three eMag markets. Just paste the URL for the country you want: | Country | Domain | Example URL | |---------|--------|-------------| | Bulgaria | emag.bg | `https://www.emag.bg/mobilni-telefoni/c` | | Romania | emag.ro | `https://www.emag.ro/telefoane/c` | | Hungary | emag.hu | `https://www.emag.hu/mobiltelefonok/c` | You can mix URLs from multiple countries in a single run. ### The multi-offer advantage Most scrapers show you one price per product — the one eMag puts in the spotlight. But eMag is a **marketplace**, and any given product can have five, ten, or even more third-party sellers competing on price at the same time. This Actor fetches the full seller list for every product using eMag's own multi-offer endpoint. The result is the `offers` array in the output — a complete, ranked snapshot of every seller currently active for that product, with their price and promotional flags. This makes the Actor uniquely suited for: - **Price intelligence and competitor monitoring** — see exactly who is undercutting whom - **MAP (minimum advertised price) compliance** — quickly spot any seller violating your brand's pricing policy - **Marketplace seller research** — identify who the major third-party sellers are in your category - **Repricing automation** — feed the data directly into your repricing tools via API ### Proxy guidance Proxy requirements differ by country: | Country | Without proxy | Recommended proxy | |---------|--------------|-------------------| | Bulgaria (emag.bg) | Often works, not guaranteed | Apify Residential if blocked | | Romania (emag.ro) | Often works, not guaranteed | Apify Residential if blocked | | Hungary (emag.hu) | Unlikely to work | Apify Residential (required) | **Hungary** is the most aggressively protected storefront. A residential proxy is effectively required — configure `proxyConfiguration` with `useApifyProxy: true` and set the group to `RESIDENTIAL`: ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` Residential proxy usage is billed to your own Apify account at standard Apify rates. **Apify datacenter proxies are not recommended for any eMag storefront.** Their IP ranges are well-known to rate-limiting systems and eMAG's traffic gate will likely block them before you collect meaningful data. ### Tips for best results - **Schedule regular runs** — use Apify's built-in scheduler to track price changes daily or weekly without lifting a finger. - **Export to Google Sheets** — connect the dataset to Google Sheets via the Apify integration for live price dashboards with zero engineering effort. ### FAQ and support **Which eMag page types are supported?** Category pages and brand-filtered pages. Direct product page URLs are not currently supported as start URLs. **Can I scrape a single brand across all three countries at once?** Yes — just add one URL per country in the Start URLs field and the Actor handles them all in parallel. **Something is not working?** Open an issue on the **Issues** tab of this Actor page. We respond promptly and can build custom solutions for specific data needs. # Actor input Schema ## `startUrls` (type: `array`): URLs to start with ## `allowedDomains` (type: `array`): Domains that the scraper is allowed to crawl. ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. For Hungary (emag.hu) a RESIDENTIAL proxy is required. Datacenter proxies are not recommended — eMAG rate-limits their IP ranges. You can also supply your own proxy URLs. ## `getReviews` (type: `boolean`): When enabled, the scraper will collect all customer reviews for each product and append them as a 'reviews' field in the dataset output. Charges $0.0003 per 100 reviews (or part thereof) per product — e.g. 1–100 reviews = $0.0003, 101–200 = $0.0006. The minimum charge per product is $0.0003. Note: some products may have no reviews, in which case the 'reviews' field will be an empty array and no charge is applied. Tip: configuring a proxy significantly increases success rates when fetching reviews. ## `getOffers` (type: `boolean`): When enabled, the scraper will collect all seller offers for each product and append them as an 'offers' field in the dataset output. This is included at no extra charge. Note: only products listed by multiple sellers will have an 'offers' array; products with a single seller will have an empty array. Tip: configuring a proxy significantly increases success rates when fetching offers. ## `concurrentRequests` (type: `integer`): Number of concurrent HTTP requests the scraper will make. Higher values increase speed but widen the gap between scraped items and the Max Items soft limit. Each in-flight request returns up to 100 products, so with 16 concurrent requests you could overshoot Max Items by up to 1,600 products. Keep this low if an accurate item count matters. ## `maxItems` (type: `integer`): Maximum number of products to scrape. Set to 0 to scrape all products without limit. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.emag.bg/televizori/brand/lg/c" } ], "allowedDomains": [ "www.emag.bg", "www.emag.ro", "www.emag.hu", "sapi.emag.ro", "sapi.emag.bg", "sapi.emag.hu" ], "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [], "proxyUrls": [] }, "getReviews": false, "getOffers": false, "concurrentRequests": 1, "maxItems": 10 } ``` # Actor output Schema ## `dataset` (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 = { "startUrls": [ { "url": "https://www.emag.bg/televizori/brand/lg/c" } ], "allowedDomains": [ "www.emag.bg", "www.emag.ro", "www.emag.hu", "sapi.emag.ro", "sapi.emag.bg", "sapi.emag.hu" ], "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [], "proxyUrls": [] }, "getReviews": false, "getOffers": false }; // Run the Actor and wait for it to finish const run = await client.actor("scraping_crew/emag-product-and-offers").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 = { "startUrls": [{ "url": "https://www.emag.bg/televizori/brand/lg/c" }], "allowedDomains": [ "www.emag.bg", "www.emag.ro", "www.emag.hu", "sapi.emag.ro", "sapi.emag.bg", "sapi.emag.hu", ], "proxyConfiguration": { "useApifyProxy": False, "apifyProxyGroups": [], "proxyUrls": [], }, "getReviews": False, "getOffers": False, } # Run the Actor and wait for it to finish run = client.actor("scraping_crew/emag-product-and-offers").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 '{ "startUrls": [ { "url": "https://www.emag.bg/televizori/brand/lg/c" } ], "allowedDomains": [ "www.emag.bg", "www.emag.ro", "www.emag.hu", "sapi.emag.ro", "sapi.emag.bg", "sapi.emag.hu" ], "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [], "proxyUrls": [] }, "getReviews": false, "getOffers": false }' | apify call scraping_crew/emag-product-and-offers --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraping_crew/emag-product-and-offers", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eMag Product & Offers Scraper", "description": "Extract structured product and pricing data from eMag — the largest online marketplace in Bulgaria, Romania, and Hungary. Supports category pages, brand filters, and multi-seller offer comparison.", "version": "0.3", "x-build-id": "jI0dCb0wbtJv8Ghk6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraping_crew~emag-product-and-offers/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraping_crew-emag-product-and-offers", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraping_crew~emag-product-and-offers/runs": { "post": { "operationId": "runs-sync-scraping_crew-emag-product-and-offers", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraping_crew~emag-product-and-offers/run-sync": { "post": { "operationId": "run-sync-scraping_crew-emag-product-and-offers", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with", "default": [ { "url": "https://www.emag.bg/" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "allowedDomains": { "title": "Allowed domains", "type": "array", "description": "Domains that the scraper is allowed to crawl.", "default": [ "www.emag.bg", "www.emag.ro", "www.emag.hu", "sapi.emag.ro", "sapi.emag.bg", "sapi.emag.hu" ] }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings for the scraper. For Hungary (emag.hu) a RESIDENTIAL proxy is required. Datacenter proxies are not recommended — eMAG rate-limits their IP ranges. You can also supply your own proxy URLs.", "default": { "useApifyProxy": false, "apifyProxyGroups": [], "proxyUrls": [] } }, "getReviews": { "title": "Extract all reviews per product", "type": "boolean", "description": "When enabled, the scraper will collect all customer reviews for each product and append them as a 'reviews' field in the dataset output. Charges $0.0003 per 100 reviews (or part thereof) per product — e.g. 1–100 reviews = $0.0003, 101–200 = $0.0006. The minimum charge per product is $0.0003. Note: some products may have no reviews, in which case the 'reviews' field will be an empty array and no charge is applied. Tip: configuring a proxy significantly increases success rates when fetching reviews.", "default": false }, "getOffers": { "title": "Get all product offers", "type": "boolean", "description": "When enabled, the scraper will collect all seller offers for each product and append them as an 'offers' field in the dataset output. This is included at no extra charge. Note: only products listed by multiple sellers will have an 'offers' array; products with a single seller will have an empty array. Tip: configuring a proxy significantly increases success rates when fetching offers.", "default": false }, "concurrentRequests": { "title": "Concurrent requests", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of concurrent HTTP requests the scraper will make. Higher values increase speed but widen the gap between scraped items and the Max Items soft limit. Each in-flight request returns up to 100 products, so with 16 concurrent requests you could overshoot Max Items by up to 1,600 products. Keep this low if an accurate item count matters.", "default": 1 }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of products to scrape. Set to 0 to scrape all products without limit.", "default": 10 } } }, "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 } } } } } } } } } } ```