# automobile.it Scraper (`dadhalfdev/automobile-it-scraper`) Actor Scrape used cars from automobile.it with structured filters (make, model, region, city, price, fuel). Returns price, mileage, year, location, and listing URL. - **URL**: https://apify.com/dadhalfdev/automobile-it-scraper.md - **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/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 ## 🚗 automobile.it Scraper Want to find the perfect used car or analyze the Italian automotive market? This scraper makes it super easy! Paste an **`input_url`** from your browser once you've already filtered on automobile.it, **or** use **structured filters** (make, model, region, city, price, fuel type, etc.) — structured filters work better for AI agents. When `input_url` is set it overrides the filters. Either way, you get up to 2000 car listings from [automobile.it](https://www.automobile.it/) with pricing, specs, and location as CSV or JSON. ### 💡 Perfect for... - **Car Buyers:** Monitor the market for the best deals on your dream car in Italy. - **Dealerships:** Keep an eye on competitors' pricing and inventory to stay competitive. - **Market Research:** Analyze trends in the Italian used car market (average prices, popular models, mileage vs. price). - **Data Analysts:** Download clean, structured data for visualizations, dashboards, or predictive pricing models. - **🤖 AI Agents:** Power your autonomous agents with real-time car listings. Perfect for OpenClaw workflows and bots tracking specific vehicles. - **📚 RAG Systems:** Feed detailed car specifications and pricing into Retrieval-Augmented Generation pipelines to answer complex queries about the automotive market. - **🔗 AI Workflows:** Integrate seamlessly with LangChain, AutoGPT, CrewAI, and other AI frameworks that need structured automotive data. ### ✨ Why you'll love this scraper - 🔗 **Input URL or Filters:** Paste an automobile.it search URL (`input_url`) if you already filtered in the browser, or use structured filters (better for AI agents). `input_url` always wins when set. - 🎯 **Structured Filters:** Search by make, model, Italian region/city, price, mileage, year, fuel, gearbox, and body type — no URL crafting required. - ⚙️ **Rich Listings:** Extracts price, year, mileage, fuel type, gearbox, power, location, dealer, and images out of the box. - 🔎 **Optional Deep Dive:** Turn on `enrich_details` for description, colour, doors, seats, accessories, consumption, and dealer phone/address. - ⏱️ **Sorting Options:** Traverse results from most relevant to lowest price, mileage, newest ads, or newest registration year. - 🇮🇹 **Built for Italy:** Covers all Italian regions and cities from automobile.it (Usate, KM 0, Nuove). ### 📦 What's inside the data? For every single car listing, you will get: - **Core Details:** `id`, `title`, `url`, `image`, `photo_count`, `short_description` - **Location:** `location` (city and province) - **Technical Specs:** `make`, `model`, `fuel_type`, `gearbox`, `mileage`, `year`, `power`, `engine_capacity`, `registration`, `channel` - **Pricing & Seller:** `price`, `seller_type`, `dealer_name` - **With enrich_details:** `description`, `color`, `doors`, `seats`, `body_type`, `accessories`, `emission_class`, `co2`, `consumption_combined`, `dealer_phone`, `dealer_address`, `dealer_url`, `images` ### 🛠️ Sort options You can tell the scraper what order to read the listings in using the `sort_by` parameter: - **Most Relevant** – Site default ranking - **Lowest / Highest Price** - **Most Recent / Oldest First** - **Lowest KM** - **Newest Year** ### 🚀 Quick start **Option A — Input URL** 1. Open [automobile.it](https://www.automobile.it/), apply filters in the browser, copy the results URL. 2. Paste it into `input_url`. 3. Set `max_cars` and click **Start**. **Option B — Structured filters (better for AI agents)** 1. Leave `input_url` empty. 2. Set filters (e.g. make `fiat`, model `Panda`, max price `10000`). 3. Optionally pick a region or city, choose `sort_by`, and set `max_cars` (up to 2000). 4. *(Optional)* Enable `enrich_details` for full ad-page specs. 5. Click **Start** and export CSV, Excel, or JSON when done. --- #### Tech details for developers 🧑‍💻 **Input Example (filters)** ```json { "make": "fiat", "model": "Panda", "city": "Milano", "price_max": 10000, "energy": "gpl", "sort_by": "Lowest Price", "max_cars": 100 } ```` **Input Example (URL override)** ```json { "input_url": "https://www.automobile.it/fiat-panda", "max_cars": 100 } ``` **Output Example** ```json { "id": "180506605", "title": "Fiat Panda 1.2 EasyPower Lounge", "url": "https://www.automobile.it/uboldo-fiat-panda-1-2-easypower-lounge/180506605", "image": "https://media-ys.automobile.it/api/v1/am-ad/images/0de85d1a9925df515d7d95bc194a5ef2?rule=ad-568.jpeg", "price": 4950, "year": 2018, "mileage": 290000, "fuel_type": "GPL", "gearbox": "Manuale", "power": "69 CV (51 KW)", "engine_capacity": "1242 cc", "location": "Uboldo (VA)", "photo_count": 16, "make": "FIAT", "model": "Panda", "channel": "Usato", "seller_type": "Professional", "dealer_name": "A.F. AUTO DI ALI WEHBE", "registration": "Maggio 2018" } ``` ### 📋 Input reference (detailed) | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `input_url` | string | No | — | Paste an automobile.it search URL; overrides all filters below when set. Leave empty to use filters (better for AI agents). | | `make` | string enum | No | any | Car brand slug, fetched live from automobile.it's makes API (e.g. `fiat`, `bmw`, `mercedes_benz`, `alfa_romeo`). Empty = all brands. | | `model` | string | No | — | Free-text model name (e.g. `Panda`, `Golf`, `Serie 3`). **Only used when `make` is set**; not a dropdown. | | `region` | string enum | No | `""` (all Italy) | Italian region (e.g. `Lombardia`, `Lazio`, `Veneto`). | | `city` | string | No | — | City name (e.g. `Milano`, `Roma`, `Torino`). **Takes priority over `region`** when both are set. | | `channel` | string enum | No | `usate` | Listing channel: `usate` (used), `km0`, `nuove` (new), `noleggio` (rental), or empty for all ads. | | `body_type` | string enum | No | any | Body style: `berlina`, `city_car`, `station_wagon`, `monovolume`, `suv`, `cabrio`, `auto_sportiva`, `altro`. | | `price_min` / `price_max` | integer | No | — | Price range in **euros**. | | `mileage_min` / `mileage_max` | integer | No | — | Mileage range in km. | | `year_min` / `year_max` | integer | No | — | First-registration year range. | | `energy` | string enum | No | any | Fuel type: `benzina`, `diesel`, `gpl`, `metano`, `elettrica` (electric), `ibrida_benzina`, `ibrida_diesel`, `idrogeno` (hydrogen), `etanolo` (ethanol). | | `gearbox` | string enum | No | any | Transmission: `manuale`, `automatico`, `semiautomatico`. | | `sort_by` | string enum | No | `Most Relevant` | Result order (see sort options above). | | `max_cars` | integer | Yes | `50` | Maximum listings to return (`1`–`2000`). | | `enrich_details` | boolean | No | `false` | If `true`, open each ad page for richer specs and dealer contact fields. Slower. | | `listing_urls` | string\[] | No | — | Optional direct ad URLs. If set **without** other search filters, only these URLs are scraped. | #### Notes - `input_url` always wins over filters when provided. - Each run returns at most **`max_cars`** listings (`1`–`2000`). - Prices are always entered and returned in **euros**. - `make` is a dropdown fetched from automobile.it's live makes API, so it always stays in sync with the site's brand list. # Actor input Schema ## `input_url` (type: `string`): Paste an automobile.it search results URL (e.g. https://www.automobile.it/bmw-serie\_3) to use instead of the filters below — overrides all structured filters when set. Leave empty to use the filters below (better for AI agents). ## `make` (type: `string`): Car brand as on automobile.it (fetched from automobile.it's live makes API). Leave empty to search all brands. Ignored when input\_url is set. ## `model` (type: `string`): Optional model (e.g. Panda, Golf, Serie 3). Free text — only used when `make` is also set; ignored otherwise. Ignored when input\_url is set. ## `region` (type: `string`): Italian region. Empty = nationwide. City takes priority over region when both are set. Ignored when input\_url is set. ## `city` (type: `string`): Optional city (e.g. Milano, Roma, Torino). Prefer this over region for tighter geo filters. Ignored when input\_url is set. ## `channel` (type: `string`): Listing channel. Default is used cars. Ignored when input\_url is set. ## `body_type` (type: `string`): Vehicle body style. Ignored when input\_url is set. ## `price_min` (type: `integer`): Minimum price in euros. Ignored when input\_url is set. ## `price_max` (type: `integer`): Maximum price in euros. Ignored when input\_url is set. ## `mileage_min` (type: `integer`): Minimum mileage in km. Ignored when input\_url is set. ## `mileage_max` (type: `integer`): Maximum mileage in km. Ignored when input\_url is set. ## `year_min` (type: `integer`): Minimum first-registration year. Ignored when input\_url is set. ## `year_max` (type: `integer`): Maximum first-registration year. Ignored when input\_url is set. ## `energy` (type: `string`): Fuel type. Ignored when input\_url is set. ## `gearbox` (type: `string`): Transmission. Ignored when input\_url is set. ## `sort_by` (type: `string`): How to order the results. ## `max_cars` (type: `integer`): Maximum listings to return per run (1–2000). ## `enrich_details` (type: `boolean`): If true, open each ad page for description, colour, doors, seats, accessories, dealer phone/address (slower). ## `listing_urls` (type: `array`): Optional direct ad URLs (https://www.automobile.it/.../ID). If set without search filters, only these URLs are scraped. ## Actor input object example ```json { "make": "", "region": "", "channel": "usate", "body_type": "", "energy": "", "gearbox": "", "sort_by": "Most Relevant", "max_cars": 50, "enrich_details": false } ``` # Actor output Schema ## `overview` (type: `string`): Table view of scraped listings using the dataset 'overview' view. ## `results` (type: `string`): All scraped listings from the default dataset without view transformation. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dadhalfdev/automobile-it-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 = {} # Run the Actor and wait for it to finish run = client.actor("dadhalfdev/automobile-it-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 '{}' | apify call dadhalfdev/automobile-it-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/automobile-it-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "automobile.it Scraper", "description": "Scrape used cars from automobile.it with structured filters (make, model, region, city, price, fuel). Returns price, mileage, year, location, and listing URL.", "version": "0.1", "x-build-id": "MJOprZvVGHeFowXOb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~automobile-it-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-automobile-it-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/dadhalfdev~automobile-it-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-automobile-it-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/dadhalfdev~automobile-it-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-automobile-it-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": [ "max_cars" ], "properties": { "input_url": { "title": "Input URL", "type": "string", "description": "Paste an automobile.it search results URL (e.g. https://www.automobile.it/bmw-serie_3) to use instead of the filters below — overrides all structured filters when set. Leave empty to use the filters below (better for AI agents)." }, "make": { "title": "Make", "enum": [ "", "abarth", "ac", "aixam", "alfa_romeo", "alpina_bmw", "alpine", "ariel", "asia_motors", "aston_martin", "audi", "austin_rover", "autobianchi", "bedford", "bellier", "bentley", "bertone", "biro_", "bmw", "bremach", "bugatti", "buick", "byd", "cadillac", "casalini", "caterham", "chatenet", "chevrolet", "chrysler", "cirelli", "citroen", "corvette", "cupra", "dacia", "daewoo", "daf", "daihatsu", "daimler", "dallara", "de_tomaso", "dfsk", "dodge", "dr", "ds", "ducati_energia", "effedi", "eli", "emc", "estrima", "evo", "ferrari", "fiat", "fisker", "ford", "forthing", "foton", "gac_gonow", "gem", "giotti_victoria", "great_wall_motor", "haval", "heibao_italia", "honda", "hummer", "hyundai", "ich_x", "ineos", "infiniti", "innocenti", "iso", "isuzu", "iveco", "jaguar", "jdm", "jeep", "katay", "kgm", "kia", "lada", "lamborghini", "lancia", "land_rover", "lexus", "ligier", "lotus", "lynk_co", "mahindra", "man", "maserati", "maxus", "maybach", "mazda", "mclaren", "mega", "melex", "mercedes_benz", "mg", "microcar", "microlino", "militem", "minauto", "mini", "mitsubishi", "mitsubishi_fuso", "morgan", "mustang", "nissan", "omai", "opel", "p_g_o_", "pagani", "panther", "peugeot", "piaggio", "polestar", "pontiac", "porsche", "puma_italia", "renault", "renault_trucks", "rolls_royce", "romanital", "rover", "saab", "santana", "seat", "seres", "silence", "skoda", "smart", "sportequipe", "ssangyong", "subaru", "suzuki", "talbot", "tata", "tesla", "today_sunshine", "toyota", "tvr", "uaz", "umm", "volkswagen", "volvo", "xev", "xindayang", "zd", "altre_marche" ], "type": "string", "description": "Car brand as on automobile.it (fetched from automobile.it's live makes API). Leave empty to search all brands. Ignored when input_url is set.", "default": "" }, "model": { "title": "Model", "type": "string", "description": "Optional model (e.g. Panda, Golf, Serie 3). Free text — only used when `make` is also set; ignored otherwise. Ignored when input_url is set." }, "region": { "title": "Region", "enum": [ "", "Abruzzo", "Basilicata", "Calabria", "Campania", "Emilia Romagna", "Friuli Venezia Giulia", "Lazio", "Liguria", "Lombardia", "Marche", "Molise", "Piemonte", "Puglia", "Sardegna", "Sicilia", "Toscana", "Trentino Alto Adige", "Umbria", "Valle d'Aosta", "Veneto" ], "type": "string", "description": "Italian region. Empty = nationwide. City takes priority over region when both are set. Ignored when input_url is set.", "default": "" }, "city": { "title": "City", "type": "string", "description": "Optional city (e.g. Milano, Roma, Torino). Prefer this over region for tighter geo filters. Ignored when input_url is set." }, "channel": { "title": "Channel", "enum": [ "", "usate", "km0", "nuove", "noleggio" ], "type": "string", "description": "Listing channel. Default is used cars. Ignored when input_url is set.", "default": "usate" }, "body_type": { "title": "Body type", "enum": [ "", "berlina", "city_car", "station_wagon", "monovolume", "suv", "cabrio", "auto_sportiva", "altro" ], "type": "string", "description": "Vehicle body style. Ignored when input_url is set.", "default": "" }, "price_min": { "title": "Min price (€)", "minimum": 0, "type": "integer", "description": "Minimum price in euros. Ignored when input_url is set." }, "price_max": { "title": "Max price (€)", "minimum": 0, "type": "integer", "description": "Maximum price in euros. Ignored when input_url is set." }, "mileage_min": { "title": "Min mileage (km)", "minimum": 0, "type": "integer", "description": "Minimum mileage in km. Ignored when input_url is set." }, "mileage_max": { "title": "Max mileage (km)", "minimum": 0, "type": "integer", "description": "Maximum mileage in km. Ignored when input_url is set." }, "year_min": { "title": "Min year", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Minimum first-registration year. Ignored when input_url is set." }, "year_max": { "title": "Max year", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Maximum first-registration year. Ignored when input_url is set." }, "energy": { "title": "Fuel / energy", "enum": [ "", "benzina", "diesel", "gpl", "metano", "elettrica", "ibrida_benzina", "ibrida_diesel", "idrogeno", "etanolo" ], "type": "string", "description": "Fuel type. Ignored when input_url is set.", "default": "" }, "gearbox": { "title": "Gearbox", "enum": [ "", "manuale", "automatico", "semiautomatico" ], "type": "string", "description": "Transmission. Ignored when input_url is set.", "default": "" }, "sort_by": { "title": "Sort by", "enum": [ "Most Relevant", "Lowest Price", "Highest Price", "Most Recent", "Oldest First", "Lowest KM", "Newest Year" ], "type": "string", "description": "How to order the results.", "default": "Most Relevant" }, "max_cars": { "title": "Max cars", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum listings to return per run (1–2000).", "default": 50 }, "enrich_details": { "title": "Enrich details", "type": "boolean", "description": "If true, open each ad page for description, colour, doors, seats, accessories, dealer phone/address (slower).", "default": false }, "listing_urls": { "title": "Listing URLs", "type": "array", "description": "Optional direct ad URLs (https://www.automobile.it/.../ID). If set without search filters, only these URLs are scraped.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```