# VRBO Price Scraper (`sve/vrbo-price-scraper`) Actor Scrapes VRBO property pricing including taxes and fees for given dates - **URL**: https://apify.com/sve/vrbo-price-scraper.md - **Developed by:** [Sve](https://apify.com/sve) (community) - **Categories:** Real estate, Travel, Developer tools - **Stats:** 7 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## VRBO Price Scraper An [Apify Actor](https://apify.com/actors) that scrapes VRBO property pricing including taxes and all fees for given dates and guest configuration. ### How it works 1. Navigates to the VRBO property listing page to extract the internal `lodgingDirectoryId` 2. Navigates to the checkout page using the extracted ID and provided dates 3. Intercepts `window.TC.checkoutModelFetch` — VRBO's internal pricing promise — to extract the full quote 4. Pushes the structured pricing result to the Apify dataset ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `propertyId` | string | ✅ | — | VRBO property ID (e.g. `2277483`) | | `checkIn` | string | ✅ | — | Check-in date in `YYYY-MM-DD` format | | `checkOut` | string | ✅ | — | Check-out date in `YYYY-MM-DD` format | | `adults` | integer | — | `2` | Number of adult guests | | `children` | integer | — | `0` | Number of children (ages 2–12) | | `infants` | integer | — | `0` | Number of infants (under age 2) | | `pets` | boolean | — | `false` | Whether pets are included | | `maxRetries` | integer | — | `2` | Number of retry attempts on failure | | `lodgingDirectoryId` | string | — | — | Skip listing page fetch by providing a known Expedia property ID | > **Note:** The legacy field names `arrivalDate` and `departureDate` are still accepted as aliases for `checkIn` and `checkOut`. #### Example input ```json { "propertyId": "2277483", "checkIn": "2026-08-28", "checkOut": "2026-08-31", "adults": 2, "children": 0, "infants": 0, "pets": false } ```` ### Output Results are saved to the Apify dataset. Each record contains: ```json { "propertyId": "2277483", "lodgingDirectoryId": "66789532", "checkIn": "2026-08-28", "checkOut": "2026-08-31", "adults": 2, "children": 0, "infants": 0, "pets": false, "totalAmount": "$874.13", "breakdown": { "nightly_rate": "$563.00", "cleaning_fee": "$150.00", "taxes": "$89.13", "service_fee": "$72.00" } } ``` > **Note:** Fee names are normalized to stable English keys (`nightly_rate`, `cleaning_fee`, `taxes`, `service_fee`, `pet_fee`, `resort_fee`) regardless of VRBO's display locale. ### Local development ```bash ## Install dependencies npm install ## Run locally (uses default input values in src/main.ts) npm run dev ## Build TypeScript npm run build ## Run compiled output npm start ``` ### Project structure ``` ├── index.ts # Entry point ├── src/ │ ├── types.ts # TypeScript interfaces │ ├── browser.ts # Browser launch helper │ ├── scraper.ts # Core scraping logic │ └── main.ts # Apify Actor entry point ├── .actor/ │ ├── actor.json # Actor metadata │ ├── input_schema.json # Input schema for Apify Console │ └── Dockerfile # Docker image for Apify platform ├── package.json └── tsconfig.json ``` # Actor input Schema ## `propertyId` (type: `string`): VRBO property ID (e.g. 2277483) ## `arrivalDate` (type: `string`): Arrival date in YYYY-MM-DD format (e.g. 2026-08-28) ## `departureDate` (type: `string`): Departure date in YYYY-MM-DD format (e.g. 2026-08-31) ## `adults` (type: `integer`): Number of adult guests ## `children` (type: `integer`): Number of children guests (ages 2–12) ## `infants` (type: `integer`): Number of infants (under age 2) ## `pets` (type: `boolean`): Whether pets are included in the booking ## `maxRetries` (type: `integer`): Number of retry attempts if scraping fails (default: 2) ## Actor input object example ```json { "adults": 2, "children": 0, "infants": 0, "pets": false, "maxRetries": 2 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing pricing data for each requested property # 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("sve/vrbo-price-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("sve/vrbo-price-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 sve/vrbo-price-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sve/vrbo-price-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "VRBO Price Scraper", "description": "Scrapes VRBO property pricing including taxes and fees for given dates", "version": "0.1", "x-build-id": "BUD8z4Iv00y7iMIDt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sve~vrbo-price-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sve-vrbo-price-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sve~vrbo-price-scraper/runs": { "post": { "operationId": "runs-sync-sve-vrbo-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sve~vrbo-price-scraper/run-sync": { "post": { "operationId": "run-sync-sve-vrbo-price-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "propertyId", "arrivalDate", "departureDate" ], "properties": { "propertyId": { "title": "Property ID", "type": "string", "description": "VRBO property ID (e.g. 2277483)" }, "arrivalDate": { "title": "Arrival Date", "type": "string", "description": "Arrival date in YYYY-MM-DD format (e.g. 2026-08-28)" }, "departureDate": { "title": "Departure Date", "type": "string", "description": "Departure date in YYYY-MM-DD format (e.g. 2026-08-31)" }, "adults": { "title": "Number of Adults", "type": "integer", "description": "Number of adult guests", "default": 2 }, "children": { "title": "Number of Children", "type": "integer", "description": "Number of children guests (ages 2–12)", "default": 0 }, "infants": { "title": "Number of Infants", "type": "integer", "description": "Number of infants (under age 2)", "default": 0 }, "pets": { "title": "Pets Included", "type": "boolean", "description": "Whether pets are included in the booking", "default": false }, "maxRetries": { "title": "Max Retries", "type": "integer", "description": "Number of retry attempts if scraping fails (default: 2)", "default": 2 } } }, "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 } } } } } } } } } } ```