# ParuVendu Auto Scraper (`dadhalfdev/paruvendu-auto-scraper`) Actor Scrape used cars from paruvendu.fr voiture d'occasion with structured filters (make, model, location, price, fuel). Returns price, mileage, year, location, and listing URL. - **URL**: https://apify.com/dadhalfdev/paruvendu-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 ## 🚗 ParuVendu Auto Scraper Want to find used cars on [ParuVendu](https://www.paruvendu.fr/voiture-occasion/) or analyze the French private + pro market? This scraper makes it super easy! Paste an **`input_url`** from your browser once you've already filtered on ParuVendu, **or** use **structured filters** (make, model, location, 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 small dealers across France. - **Dealerships:** Track competitor inventory and pricing on ParuVendu. - **Market Research:** Analyze French used-car supply by brand, city, mileage, and fuel. - **Data Analysts:** Export clean structured data for dashboards and pricing models. - **🤖 AI Agents:** Power bots and OpenClaw workflows with real-time ParuVendu 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 ParuVendu 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, city/radius, body type, price, mileage, year, fuel, and gearbox — no URL crafting. - 🚗 **Auto Only:** Scoped to voiture d'occasion (ignores immobilier, seconde main, etc.). - ⚙️ **Rich Listings:** Price, year, mileage, fuel, gearbox, location, and images from search cards. - 🔎 **Optional Deep Dive:** Turn on `enrich_details` for extra specs (power, colour, seller, image gallery). - ⏱️ **Sorting Options:** Newest, price, mileage, or listings with photos. ### 📦 What's inside the data? For every single car listing, you will get: - **Core Details:** `id`, `title`, `url`, `image`, `photo_count` - **Location:** `location`, `postal_code` - **Technical Specs:** `make`, `model`, `fuel_type`, `gearbox`, `mileage`, `year` - **Pricing & Seller:** `price`, `seller_type` - **With enrich_details:** `power_hp`, `color`, `body_type`, `seller_name`, `images`, … ### 🛠️ Sort options Use the `sort_by` parameter: - **Most Recent** – Newest listings first - **Lowest / Highest Price** - **Lowest / Highest KM** - **With Photo** – Prefer ads that include photos ### 🚀 Quick start **Option A — Input URL** 1. Open [ParuVendu voiture d'occasion](https://www.paruvendu.fr/voiture-occasion/), 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 `Renault`, model `Clio`), optional location + radius, price / mileage / year / fuel. 3. Choose `sort_by` and `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": "VVORE000", "model": "Clio", "location": "Paris", "radius_km": "50", "price_max": 10000, "energy": "ES", "sort_by": "Lowest Price", "max_cars": 100 } ```` **Input Example (URL override)** ```json { "input_url": "https://www.paruvendu.fr/voiture-occasion/renault/clio/", "max_cars": 100 } ``` **Output Example** ```json { "id": "1293356442A1KVVORECLI", "title": "Renault III (2) 1.5 DCI 70 DYNAMIQUE 5P EURO5", "url": "https://www.paruvendu.fr/a/voiture-occasion/renault/clio/1293356442A1KVVORECLI", "image": "https://cdn2.vroomiz.fr/uploads/advertcars/example.jpg", "price": 5490, "year": 2008, "mileage": 120000, "fuel_type": "Diesel", "gearbox": "Manuelle", "location": "Coignières (78310)", "postal_code": "78310", "photo_count": 8, "make": "RENAULT", "model": "Clio", "seller_type": "Professional" } ``` ### 📋 Input reference (detailed) | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `input_url` | string | No | — | Paste a ParuVendu search URL; overrides all filters below when set. Leave empty to use filters (better for AI agents). | | `make` | string enum | No | any | Car brand, sourced live from ParuVendu's own `affinage` API (113 brands, e.g. `VVORE000` = Renault, `VVOBM000` = BMW, `VVOME000` = Mercedes). Leave empty (`""`, Any) to search all brands. See [full brand list](#-brand-codes-make) below. | | `model` | string | No | — | Model name (e.g. `Clio`, `208`, `Golf`). **Requires `make`.** | | `location` | string | No | — | City or place for geo search (e.g. `Paris`, `Lyon`, `Marseille`). | | `radius_km` | string enum | No | `""` (do not widen) | Search radius around `location`: `5`, `15`, `30`, `50`, `100`. Ignored if `location` is empty. | | `body_type` | string enum | No | any | Body category, using ParuVendu's own `r1` site codes: `TO` Berline, `4X` 4x4 - SUV, `BR` Break, `CA` Cabriolet, `CO` Coupé, `MO` Monospace, `SO` Véhicule de société, `PU` Pick-up. | | `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 filter, using ParuVendu's own `nrj` site codes: `ES` Essence, `DI` Diesel, `GP` GPL ou GNL, `BI` BioEthanol, `EL` Electrique, `HY` Hybride (tous), `HR` Hybride rechargeable, `MH` Micro Hybride, `HD` Hydrogène, `ZZ` Autres. | | `gearbox` | string enum | No | any | Transmission, using ParuVendu's own `tr` site codes: `MA` Manuelle, `AU` Automatique, `SA` Semi automatique, `ZZ` Autres. | | `sort_by` | string enum | No | `Most Recent` | Result order (see sort options above). | | `max_cars` | integer | Yes | `50` | How many listings to return (`1`–`2000`). | | `enrich_details` | boolean | No | `false` | If `true`, fetch each ad page for richer fields (slower). | | `listing_urls` | string\[] | No | — | Direct ad URLs. If provided **without** search filters, only these URLs are scraped. | #### Notes on filters - `input_url` always wins over filters when provided. - This Actor only scrapes **cars** (voiture d'occasion), not the rest of ParuVendu. - Each run returns at most **`max_cars`** listings (`1`–`2000`). - Some ads show “à débattre” or promo text near the price — the numeric EUR value on the card is what we store. - `energy`, `gearbox`, `body_type`, and `make` are applied **on the ParuVendu search request itself** (via the `nrj`, `tr`, `r1`, and `r` query params on ParuVendu's `affinage` search endpoint), not just filtered client-side after scraping — so the site does the heavy lifting and pagination reflects the real filtered result count. Older free-text values for `energy`/`gearbox`/`body_type`/`make` (e.g. `essence`, `manual`, `berline`, `Renault`) are still accepted for backward compatibility and are mapped to the new site codes automatically. - `model` filtering uses ParuVendu's pretty `/voiture-occasion/{make}/{model}/` path (ParuVendu doesn't support reliable model-code filtering via the `affinage` endpoint), so it requires `make` to be set. #### 🔤 Brand codes (`make`) The `make` dropdown is generated from ParuVendu's own brand list (`GET /auto-moto/listefo/default/affinage?origine=affinage&r=VVO00000`), which returns 113 brands as `{ "lib": "Renault", "cod": "VVORE000" }`. Pick any brand by name in the UI — the underlying value sent to ParuVendu is the `cod`. Leave empty for **Any**. # Actor input Schema ## `input_url` (type: `string`): Paste a ParuVendu voiture d'occasion 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, sourced live from ParuVendu's affinage API (113 brands). Leave empty (Any) to search all brands. Ignored when input\_url is set. ## `model` (type: `string`): Optional model (e.g. Clio, 208, Golf). Requires make. Ignored when input\_url is set. ## `location` (type: `string`): City or place name for geo search (e.g. Paris, Lyon). Ignored when input\_url is set. ## `radius_km` (type: `string`): Search radius around location. Only applied when location is set. Ignored when input\_url is set. ## `body_type` (type: `string`): Vehicle body category, using ParuVendu's own site codes (r1). 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 filter, using ParuVendu's own site codes (nrj). Ignored when input\_url is set. ## `gearbox` (type: `string`): Transmission filter, using ParuVendu's own site codes (tr). Ignored when input\_url is set. ## `sort_by` (type: `string`): How to order the results. ## `max_cars` (type: `integer`): Maximum listings to return (1–2000). ## `enrich_details` (type: `boolean`): If true, open each ad page for extra specs (power, colour, seller, images…). ## `listing_urls` (type: `array`): Optional direct ad URLs. If set without make/location filters, only these URLs are scraped. ## Actor input object example ```json { "make": "", "radius_km": "", "body_type": "", "energy": "", "gearbox": "", "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/paruvendu-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/paruvendu-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/paruvendu-auto-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/paruvendu-auto-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ParuVendu Auto Scraper", "description": "Scrape used cars from paruvendu.fr voiture d'occasion with structured filters (make, model, location, price, fuel). Returns price, mileage, year, location, and listing URL.", "version": "0.1", "x-build-id": "iLhzbjDev2ceZLer9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~paruvendu-auto-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-paruvendu-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~paruvendu-auto-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-paruvendu-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~paruvendu-auto-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-paruvendu-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 ParuVendu voiture d'occasion 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": [ "", "VVOAB000", "VVOAW000", "VVOAK000", "VVOAL000", "VVOAP000", "VVOAI000", "VVOAO000", "VVOAM000", "VVOAU000", "VVOAN000", "VVOZZ000", "VVOAD000", "VVOBM000", "VVOBY000", "VVOBT000", "VVOBE000", "VVOBG000", "VVOBU000", "VVOCC000", "VVOCM000", "VVOCV000", "VVOCH000", "VVOCI000", "VVOCO000", "VVOCU000", "VVODR000", "VVODC000", "VVODA000", "VVODH000", "VVODL000", "VVODG000", "VVODE000", "VVODO000", "VVODK000", "VVODS000", "VVOFE000", "VVOFI000", "VVOFK000", "VVOFO000", "VVOFT000", "VVOGM000", "VVOGG000", "VVOHO000", "VVOHU000", "VVOHY000", "VVOIE000", "VVOIN000", "VVOIS000", "VVOJC000", "VVOJA000", "VVOJE000", "VVOKI000", "VVOLV000", "VVOLD000", "VVOLA000", "VVOLC000", "VVOLR000", "VVOLW000", "VVOLM000", "VVOLX000", "VVOLI000", "VVOLO000", "VVOLY000", "VVOMG000", "VVOMP000", "VVOMH000", "VVOMR000", "VVOMZ000", "VVOMY000", "VVOMA000", "VVOML000", "VVOMX000", "VVOME000", "VVOMU000", "VVOMC000", "VVOMI000", "VVOMO000", "VVONI000", "VVOOM000", "VVOOP000", "VVOPG000", "VVOPE000", "VVOPL000", "VVOPS000", "VVOPK000", "VVOPN000", "VVOPO000", "VVOPR000", "VVORE000", "VVORO000", "VVORA000", "VVOSA000", "VVOST000", "VVOSE000", "VVOSR000", "VVOSH000", "VVOSK000", "VVOSM000", "VVOSS000", "VVOSB000", "VVOSU000", "VVOTV000", "VVOTA000", "VVOTT000", "VVOTE000", "VVOTO000", "VVOTR000", "VVOVE000", "VVOVW000", "VVOVO000", "VVOWA000", "VVOXP000", "VVOZE000" ], "type": "string", "description": "Car brand, sourced live from ParuVendu's affinage API (113 brands). Leave empty (Any) to search all brands. Ignored when input_url is set.", "default": "" }, "model": { "title": "Model", "type": "string", "description": "Optional model (e.g. Clio, 208, Golf). Requires make. Ignored when input_url is set." }, "location": { "title": "Location", "type": "string", "description": "City or place name for geo search (e.g. Paris, Lyon). Ignored when input_url is set." }, "radius_km": { "title": "Radius (km)", "enum": [ "", "5", "15", "30", "50", "100" ], "type": "string", "description": "Search radius around location. Only applied when location is set. Ignored when input_url is set.", "default": "" }, "body_type": { "title": "Body type", "enum": [ "", "TO", "4X", "BR", "CA", "CO", "MO", "SO", "PU" ], "type": "string", "description": "Vehicle body category, using ParuVendu's own site codes (r1). 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": [ "", "ES", "DI", "GP", "BI", "EL", "HY", "HR", "MH", "HD", "ZZ" ], "type": "string", "description": "Fuel type filter, using ParuVendu's own site codes (nrj). Ignored when input_url is set.", "default": "" }, "gearbox": { "title": "Gearbox", "enum": [ "", "MA", "AU", "SA", "ZZ" ], "type": "string", "description": "Transmission filter, using ParuVendu's own site codes (tr). Ignored when input_url is set.", "default": "" }, "sort_by": { "title": "Sort by", "enum": [ "Most Recent", "Lowest Price", "Highest Price", "Lowest KM", "Highest KM", "With Photo" ], "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 (1–2000).", "default": 50 }, "enrich_details": { "title": "Enrich with detail page", "type": "boolean", "description": "If true, open each ad page for extra specs (power, colour, seller, images…).", "default": false }, "listing_urls": { "title": "Listing URLs (optional)", "type": "array", "description": "Optional direct ad URLs. If set without make/location 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 } } } } } } } } } } ```