# airbnb\_property\_prices\_multi\_dates (`vagadro/airbnb-property-prices-multi-dates`) Actor Track Airbnb nightly rates across custom date ranges. Enter any listing URL, start/end dates, and step interval to extract prices automatically. Outputs structured JSON ready for analysis. Ideal for revenue analysts and property managers. - **URL**: https://apify.com/vagadro/airbnb-property-prices-multi-dates.md - **Developed by:** [Vagadro](https://apify.com/vagadro) (community) - **Categories:** Travel, Real estate, Automation - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Airbnb Prices Scraper Scrapes Airbnb property prices across a range of checkin/checkout dates. > Also check out: **[Google Reviews Scraper](https://console.apify.com/actors/ejsM2UibLls8YaktM/source)** (`vagadro/google-reviews-scrapper`) – Automatically extract reviews, ratings, and reviewer data from Google Maps. ### Input | Field | Type | Description | |-------|------|-------------| | `propertyUrl` | string | Full Airbnb property URL (with or without date params) | | `startDate` | string | Start date in `YYYY-MM-DD` format | | `endDate` | string | End date in `YYYY-MM-DD` format | | `dateStepDays` | integer | Number of days per stay (default: 2) | | `useProxy` | boolean | Use Apify residential proxy (default: false) | ### Example Input ```json { "propertyUrl": "https://www.airbnb.com/rooms/12345?checkin=2026-04-01&checkout=2026-04-03", "startDate": "2026-04-01", "endDate": "2026-04-10", "dateStepDays": 2, "useProxy": false } ```` ### How Date Pairs Are Generated Given `startDate=2026-04-01`, `endDate=2026-04-10`, `dateStepDays=2`: - Checkin: 2026-04-01, Checkout: 2026-04-03 - Checkin: 2026-04-04, Checkout: 2026-04-06 - Checkin: 2026-04-07, Checkout: 2026-04-09 ### Output Each record pushed to the dataset contains: ```json { "url": "https://www.airbnb.com/rooms/12345?checkin=2026-04-01&checkout=2026-04-03", "checkin": "2026-04-01", "checkout": "2026-04-03", "price": "€150" } ``` # Actor input Schema ## `propertyUrl` (type: `string`): Full Airbnb listing URL. Date params in the URL will be replaced for each generated date pair. ## `startDate` (type: `string`): First checkin date in YYYY-MM-DD format. ## `endDate` (type: `string`): Upper bound for checkout dates in YYYY-MM-DD format. ## `dateStepDays` (type: `integer`): Number of nights per stay. Each checkin/checkout pair spans this many days, then the next pair starts the day after checkout. ## `useProxy` (type: `boolean`): Enable Apify residential proxy (recommended to avoid blocks). ## Actor input object example ```json { "propertyUrl": "https://www.airbnb.co.in/rooms/13677957?check_in=2026-04-17&check_out=2026-04-18&search_mode=regular_search&source_impression_id=p3_1775566465_P3UBLvfbwaQTIrBq&previous_page_section_name=1000&federated_search_id=71111191-eae5-44bf-8d46-c82c7e9e43f4", "startDate": "2026-04-25", "endDate": "2026-05-15", "dateStepDays": 2, "useProxy": false } ``` # 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 = { "propertyUrl": "https://www.airbnb.co.in/rooms/13677957?check_in=2026-04-17&check_out=2026-04-18&search_mode=regular_search&source_impression_id=p3_1775566465_P3UBLvfbwaQTIrBq&previous_page_section_name=1000&federated_search_id=71111191-eae5-44bf-8d46-c82c7e9e43f4", "startDate": "2026-04-25", "endDate": "2026-05-15" }; // Run the Actor and wait for it to finish const run = await client.actor("vagadro/airbnb-property-prices-multi-dates").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 = { "propertyUrl": "https://www.airbnb.co.in/rooms/13677957?check_in=2026-04-17&check_out=2026-04-18&search_mode=regular_search&source_impression_id=p3_1775566465_P3UBLvfbwaQTIrBq&previous_page_section_name=1000&federated_search_id=71111191-eae5-44bf-8d46-c82c7e9e43f4", "startDate": "2026-04-25", "endDate": "2026-05-15", } # Run the Actor and wait for it to finish run = client.actor("vagadro/airbnb-property-prices-multi-dates").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 '{ "propertyUrl": "https://www.airbnb.co.in/rooms/13677957?check_in=2026-04-17&check_out=2026-04-18&search_mode=regular_search&source_impression_id=p3_1775566465_P3UBLvfbwaQTIrBq&previous_page_section_name=1000&federated_search_id=71111191-eae5-44bf-8d46-c82c7e9e43f4", "startDate": "2026-04-25", "endDate": "2026-05-15" }' | apify call vagadro/airbnb-property-prices-multi-dates --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vagadro/airbnb-property-prices-multi-dates", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "airbnb_property_prices_multi_dates", "description": "Track Airbnb nightly rates across custom date ranges. Enter any listing URL, start/end dates, and step interval to extract prices automatically. Outputs structured JSON ready for analysis. Ideal for revenue analysts and property managers.", "version": "0.0", "x-build-id": "EinmnwxEvblbZ7P4g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vagadro~airbnb-property-prices-multi-dates/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vagadro-airbnb-property-prices-multi-dates", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vagadro~airbnb-property-prices-multi-dates/runs": { "post": { "operationId": "runs-sync-vagadro-airbnb-property-prices-multi-dates", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vagadro~airbnb-property-prices-multi-dates/run-sync": { "post": { "operationId": "run-sync-vagadro-airbnb-property-prices-multi-dates", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "propertyUrl", "startDate", "endDate" ], "properties": { "propertyUrl": { "title": "Airbnb property URL", "type": "string", "description": "Full Airbnb listing URL. Date params in the URL will be replaced for each generated date pair." }, "startDate": { "title": "Start date", "type": "string", "description": "First checkin date in YYYY-MM-DD format." }, "endDate": { "title": "End date", "type": "string", "description": "Upper bound for checkout dates in YYYY-MM-DD format." }, "dateStepDays": { "title": "Date step (days)", "minimum": 1, "type": "integer", "description": "Number of nights per stay. Each checkin/checkout pair spans this many days, then the next pair starts the day after checkout.", "default": 2 }, "useProxy": { "title": "Use Apify proxy", "type": "boolean", "description": "Enable Apify residential proxy (recommended to avoid blocks).", "default": false } } }, "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 } } } } } } } } } } ```