# Subito Auto Scraper (`dadhalfdev/subito-auto-scraper`) Actor Scrape used cars from subito.it (Auto category) with structured filters (make, model, region, price, fuel). Returns price, mileage, year, location, and listing URL. - **URL**: https://apify.com/dadhalfdev/subito-auto-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 ## 🚗 Subito Auto Scraper Want to find used cars on [Subito.it](https://www.subito.it/) or analyze the Italian private + dealer market? This scraper makes it super easy! Paste an **`input_url`** from your browser once you've already filtered on Subito, **or** use **structured filters** (make, model, region, 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 the **Auto section only**, with pricing, specs, and location as CSV or JSON. ### 💡 Perfect for... - **Car Buyers:** Monitor deals from private sellers and dealers across Italy. - **Dealerships:** Track competitor inventory and pricing on Subito. - **Market Research:** Analyze Italian used-car supply by brand, region, mileage, and fuel. - **Data Analysts:** Export clean structured data for dashboards and pricing models. - **🤖 AI Agents:** Power bots and OpenClaw workflows with real-time Subito Auto listings. - **📚 RAG Systems:** Feed vehicle specs and prices into retrieval pipelines. - **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks. ### ✨ Why you'll love this scraper - 🔗 **Input URL or Filters:** Paste a Subito Auto 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, region, city, condition, body type, price, mileage, year, fuel, gearbox, and seller type — no URL crafting. - 🚗 **Auto Only:** Scoped to Subito Auto — ignores immobili, elettronica, etc. - ⚙️ **Rich Listings:** Price, year, mileage, fuel, gearbox, body, location, and images. - 🔎 **Optional Deep Dive:** Turn on `enrich_details` for extra fields from each ad page (usually unnecessary). - ⏱️ **Sorting Options:** Newest, relevance, price, year, mileage, power, or length. - 🇮🇹 **Built for Italy:** All 20 regions with a live make dropdown fetched from Subito's brands API. ### 📦 What's inside the data? For every single car listing, you will get: - **Core Details:** `id`, `title`, `url`, `image`, `photo_count`, `description`, `published_at` - **Location:** `location`, `region`, `province`, `town` - **Technical Specs:** `make`, `model`, `version`, `fuel_type`, `gearbox`, `mileage`, `year`, `body_type`, `doors`, `seats`, `color`, `power`, `emission_class`, `condition` - **Pricing & Seller:** `price`, `seller_type`, `seller_name` - **Extras:** `neopatentati` when present ### 🛠️ Sort options Use the `sort_by` parameter: - **Most Recent** – Newest listings first - **Most Relevant** – Subito relevance ranking - **Lowest / Highest Price** - **Newest / Oldest Year** - **Lowest / Highest KM** - **Lowest / Highest Power** - **Shortest / Longest Length** ### 🚀 Quick start **Option A — Input URL** 1. Open [Subito Auto](https://www.subito.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`), optional region/city, price / mileage / year / fuel. 3. Choose `sort_by` and `max_cars` (up to 2000). 4. Click **Start** and export CSV, Excel, or JSON when done. --- #### Tech details for developers 🧑‍💻 **Input Example (filters)** ```json { "make": "FIAT", "model": "Panda", "region": "Lombardia", "price_max": 10000, "energy": "Benzina", "sort_by": "Lowest Price", "max_cars": 100 } ```` **Input Example (URL override)** ```json { "input_url": "https://www.subito.it/annunci-lombardia/vendita/auto/?q=bmw", "max_cars": 100 } ``` **Output Example** ```json { "id": "654772709", "title": "Panda anno 2010", "url": "https://www.subito.it/auto/panda-anno-2010-napoli-654772709.htm", "image": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/70/…?rule=gallery-800-w", "price": 3000, "year": 2010, "mileage": 163000, "fuel_type": "Benzina", "gearbox": "Manuale", "body_type": "Utilitaria", "location": "Giugliano in Campania, Napoli, Campania", "make": "FIAT", "model": "Panda", "seller_type": "Private" } ``` ### 📋 Input reference (detailed) | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `input_url` | string | No | — | Paste a Subito Auto search URL; overrides all filters below when set. Leave empty to use filters (better for AI agents). | | `make` | string enum | No | any | Brand as on Subito, fetched live from Subito's brands API (e.g. `FIAT`, `BMW`, `ALFA ROMEO`). Empty = all brands. | | `model` | string | No | — | Free-text model name (e.g. `Panda`). **Only used when `make` is set**; not a dropdown. | | `query` | string | No | — | Free-text keywords. | | `region` | string enum | No | `""` (all Italy) | Italian region (e.g. `Lombardia`, `Lazio`, `Campania`). Empty = nationwide. | | `city` | string | No | — | City or province text. | | `condition` | string enum | No | any | `Usato`, `Km0`, `Nuovo`. | | `body_type` | string enum | No | any | Utilitaria, Berlina, Station Wagon, Monovolume, SUV/Fuoristrada, Cabrio, Coupé, City Car, 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 | — | Registration year range. | | `energy` | string enum | No | any | Fuel type as shown on Subito (Benzina, Diesel, Gpl, Elettrica, Ibrida, …). | | `gearbox` | string enum | No | any | Manuale, Automatico, Sequenziale, Altro. | | `seller_type` | string enum | No | any | `Privato` or `Azienda`. | | `sort_by` | string enum | No | `Most Recent` | See sort options above. | | `max_cars` | integer | Yes | `50` | How many listings to return (`1`–`2000`). | | `enrich_details` | boolean | No | `false` | Fetch each ad page for extra fields (slower; rarely needed). | | `listing_urls` | string\[] | No | — | Direct ad URLs. If provided **without** search filters, only these are scraped. | #### Notes on filters - `input_url` always wins over filters when provided. - This Actor only scrapes **cars** (Subito Auto). Motori accessories, moto, immobili, etc. are out of scope. - Each run returns at most **`max_cars`** listings (`1`–`2000`). - Prefer official Subito brand names when filtering by make. # Actor input Schema ## `input_url` (type: `string`): Paste a Subito Auto search URL 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 Subito (fetched from Subito's live brands API). Leave empty for 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. ## `query` (type: `string`): Optional free-text keywords (e.g. neopatentati, hybrid). Ignored when input\_url is set. ## `region` (type: `string`): Italian region. Empty = nationwide. Ignored when input\_url is set. ## `city` (type: `string`): Optional city or province name (e.g. Milano, Roma). Ignored when input\_url is set. ## `condition` (type: `string`): Vehicle condition filter. Ignored when input\_url is set. ## `body_type` (type: `string`): Body style filter. 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 registration year. Ignored when input\_url is set. ## `year_max` (type: `integer`): Maximum 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. ## `seller_type` (type: `string`): Private or dealer seller. 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 extra fields (usually unnecessary — search results already include rich vehicle data). ## `listing_urls` (type: `array`): Optional direct ad URLs. If set without search filters, only these are scraped. ## Actor input object example ```json { "make": "", "region": "", "condition": "", "body_type": "", "energy": "", "gearbox": "", "seller_type": "", "sort_by": "Most Recent", "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/subito-auto-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/subito-auto-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/subito-auto-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/subito-auto-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Subito Auto Scraper", "description": "Scrape used cars from subito.it (Auto category) with structured filters (make, model, region, price, fuel). Returns price, mileage, year, location, and listing URL.", "version": "0.1", "x-build-id": "2DpzL9LHGKfWJ1yhT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~subito-auto-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-subito-auto-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~subito-auto-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-subito-auto-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~subito-auto-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-subito-auto-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 a Subito Auto search URL 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", "ACM", "AIMA", "AIWAYS", "AIXAM", "ALFA ROMEO", "ALKÈ", "ALPINA-BMW", "ALPINE", "Altro", "AMG", "ANDORIA MOTOR", "APAL", "ARIEL", "ARO", "ASIA MOTORS", "ASTON MARTIN", "AUDI", "AUSTIN ROVER", "AUTOBIANCHI", "AUVERLAND", "B-ON", "BAW", "BEDFORD", "BELLIER", "BENTLEY", "BENTU", "BERTONE", "BIAGINI", "BIRBA", "BMW", "BONETTI", "BOXEL", "BREMACH", "BSI", "BUCHER-SCHORLING", "BUGATTI", "BUICK", "BYD", "CADILLAC", "CARLETTI", "CASALINI", "CATERHAM", "CENNTRO", "CHANGAN", "CHATENET", "CHEVROLET", "CHRYSLER", "CIRELLI", "CITROEN", "CITYCAR", "CMC (CARLETTI)", "CMI", "CO.VE.IN.", "COMAI", "CORVETTE", "CUPRA", "DACIA", "DAEWOO", "DAF", "DAIHATSU", "DAIMLER", "DALLARA", "DE LA CHAPELLE", "DE TOMASO", "DFSK", "DODGE", "DONGFENG", "DONKERVOORT", "DR", "DS", "DUCATI ENERGIA", "EFFEDI", "ELI", "EMC", "EPOCAR", "ESTRIMA", "EVANTE", "EVO", "EVUM MOTORS", "FEAB", "FERRARI", "FIAT", "FISKER", "FLEUR DE LYS", "FORD", "FORTHING", "FOTON", "FRESIA", "FSO", "GAC GONOW", "GAZ AUTOMOBILE", "GEELY", "GEM", "GINETTA", "GIOTTI VICTORIA", "GIOTTILINE", "GOUPIL", "GREAT WALL MOTOR", "GRECAV", "GREEN COMPANY", "HAVAL", "HEIBAO ITALIA", "HONDA", "HUMMER", "HYUNDAI", "I MOVING", "I.CO.VE.CO.", "IATO", "ICH-X", "INEOS", "INFINITI", "INNOCENTI", "INTRALL POLSKA", "ISO", "ISUZU", "ITALCAR", "IVECO", "JAECOO", "JAGUAR", "JDM", "JEEP", "JINPENG", "KATAY", "KGM", "KIA", "KTM", "LADA", "LAMBORGHINI", "LANCIA", "LAND ROVER", "LEAPMOTOR", "LEM", "LEOMAR", "LEXUS", "LIGIER", "LOTUS", "LUAZ (VOLIN)", "LYNK&CO", "MAHINDRA", "MAN", "MARCOS", "MARTIN MOTORS", "MARUTI", "MASERATI", "MAXUS", "MAYBACH", "MAZDA", "MAZZANTI", "MAZZIERI", "MCLAREN", "MEGA", "MELEX", "MERCEDES", "META", "MG", "MIA ELECTRIC", "MICRO VETT", "MICROCAR", "MICROLINO", "MIDDLEBRIDGE", "MILITEM", "MINAUTO", "MINI", "MITSUBISHI", "MITSUBISHI FUSO", "MITSUBISHI TRUCKS", "MOBILIZE", "MOKE", "MORETTI", "MORGAN", "MORONI", "MPM MOTORS", "MULTICAR", "MUSTANG", "NANOCAR", "NEXTEM", "NISSAN", "NISSAN SPAGNA", "NOBLE", "NYSA", "NYSA MOTOR", "O.ZETA CLES", "OHM", "OLTCIT", "OMAI", "OMODA", "OPEL", "OTO MELARA", "P.G.O.", "PAGANI", "PANTHER", "PEUGEOT", "PIAGGIO", "POCCO", "POLESTAR", "PONTIAC", "PORSCHE", "PUMA ITALIA", "QVALE", "RAP", "RAYTON FISSORE", "REGIS", "RENAULT", "RENAULT TRUCKS", "RENAULT V.I.", "ROLLS ROYCE", "ROMANITAL", "ROMEO FERRARIS", "ROVER", "SAAB", "SALEEN", "SANTANA", "SAVEL-ERAD", "SCAM", "SEAT", "SECA", "SECMA", "SERES", "SEVIC", "SHINERAY", "SHUANGHUAN", "SILENCE", "SKODA", "SMART", "SPORTEQUIPE", "SSANGYONG", "START LAB", "SUBARU", "SUZUKI", "SWAPA", "SWM", "TALBOT", "TASSO", "TATA", "TAZZARI EV", "TESLA", "TIGER", "TODAY SUNSHINE", "TORPEDO", "TOWN LIFE", "TOYOTA", "TVR", "UAZ", "UMM", "VALENTINI", "VEM", "VENTURI", "VOLGA", "VOLKSWAGEN", "VOLKSWAGEN MESSICO", "VOLVO", "VOYAH", "WULING", "XEV", "XINDAYANG", "XPENG", "YUGO", "ZAZ", "ZD", "ZK" ], "type": "string", "description": "Car brand as on Subito (fetched from Subito's live brands API). Leave empty for 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." }, "query": { "title": "Keywords", "type": "string", "description": "Optional free-text keywords (e.g. neopatentati, hybrid). Ignored when input_url is set." }, "region": { "title": "Region", "enum": [ "", "Valle d'Aosta", "Piemonte", "Liguria", "Lombardia", "Trentino-Alto Adige", "Veneto", "Friuli-Venezia Giulia", "Emilia-Romagna", "Toscana", "Umbria", "Lazio", "Marche", "Abruzzo", "Molise", "Campania", "Puglia", "Basilicata", "Calabria", "Sardegna", "Sicilia" ], "type": "string", "description": "Italian region. Empty = nationwide. Ignored when input_url is set.", "default": "" }, "city": { "title": "City / province", "type": "string", "description": "Optional city or province name (e.g. Milano, Roma). Ignored when input_url is set." }, "condition": { "title": "Vehicle condition", "enum": [ "", "Usato", "Km0", "Nuovo" ], "type": "string", "description": "Vehicle condition filter. Ignored when input_url is set.", "default": "" }, "body_type": { "title": "Body type", "enum": [ "", "Utilitaria", "Berlina", "Station Wagon", "Monovolume", "SUV/Fuoristrada", "Cabrio", "Coupé", "City Car", "Altro" ], "type": "string", "description": "Body style filter. 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 registration year. Ignored when input_url is set." }, "year_max": { "title": "Max year", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Maximum registration year. Ignored when input_url is set." }, "energy": { "title": "Fuel / energy", "enum": [ "", "Benzina", "Diesel", "Gpl", "Elettrica", "Ibrida", "Mild Hybrid Benzina", "Mild Hybrid Diesel", "Full Hybrid Benzina", "Full Hybrid Diesel", "PHEV - Ibrido Plug-in Benzina", "PHEV - Ibrido Plug-in Diesel", "Metano", "Altro" ], "type": "string", "description": "Fuel type. Ignored when input_url is set.", "default": "" }, "gearbox": { "title": "Gearbox", "enum": [ "", "Manuale", "Automatico", "Sequenziale", "Altro" ], "type": "string", "description": "Transmission. Ignored when input_url is set.", "default": "" }, "seller_type": { "title": "Seller type", "enum": [ "", "Privato", "Azienda" ], "type": "string", "description": "Private or dealer seller. Ignored when input_url is set.", "default": "" }, "sort_by": { "title": "Sort by", "enum": [ "Most Recent", "Most Relevant", "Lowest Price", "Highest Price", "Newest Year", "Oldest Year", "Lowest KM", "Highest KM", "Lowest Power", "Highest Power", "Shortest Length", "Longest Length" ], "type": "string", "description": "How to order the results.", "default": "Most Recent" }, "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 extra fields (usually unnecessary — search results already include rich vehicle data).", "default": false }, "listing_urls": { "title": "Listing URLs", "type": "array", "description": "Optional direct ad URLs. If set without search filters, only these 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 } } } } } } } } } } ```