# Airbnb Scraper β€” Listings, Prices & Ratings (`hipersoft/airbnb-scraper`) Actor Search Airbnb by location and scrape listings: name, property type, price, rating, reviews, coordinates, photos, badges and link. No login or API key. For short-term rental, pricing and market research. - **URL**: https://apify.com/hipersoft/airbnb-scraper.md - **Developed by:** [hiper soft](https://apify.com/hipersoft) (community) - **Categories:** Travel, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.002 / listing scraped This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## Airbnb Scraper β€” Listings, Prices & Ratings by Location, Geo Coordinates, No Login Search Airbnb by location and scrape listings β€” name, property type, price, rating, reviews, coordinates, photos, badges and the direct link. Feed a city or a full Airbnb search URL (with your own dates, guests and filters) and get back clean, structured JSON. No account, no API key. Built for short-term rental operators, revenue managers and market researchers. ### Features - 🌍 **Search by city or URL** β€” pass `locations` like "Paris, France" or a full airbnb.com/s/ URL to carry your own dates, guests and filters. - πŸ’Ά **Numeric + formatted price** β€” each listing gives `price` (numeric), `priceCurrency`, the original `priceString` and a human `priceLabel` (e.g. per night / total). - ⭐ **Ratings & reviews** β€” captures `rating`, `reviewsCount` and an `isNew` flag for fresh listings. - πŸ—ΊοΈ **Map-ready geo** β€” every record includes `latitude` and `longitude` plus a direct `url`. - 🏷️ **Badges & property type** β€” pulls `propertyType` and `badges` (e.g. Guest favorite). - πŸ“Έ **Photos** β€” a lead `photo` URL and total `photoCount` per listing. - 🧾 **Clean JSON output** β€” flat records, capped with `maxItemsPerLocation`, ready to export to CSV, Excel or an API. ### What you get One record per listing: ```json { "id": "12345678", "name": "Charming Loft in Le Marais", "propertyType": "Entire rental unit", "rating": 4.92, "reviewsCount": 218, "isNew": false, "price": 137, "priceCurrency": "$", "priceString": "$137", "priceLabel": "$137 per night", "badges": ["Guest favorite"], "latitude": 48.8592, "longitude": 2.3625, "photo": "https://a0.muscache.com/im/pictures/....jpg", "photoCount": 5, "url": "https://www.airbnb.com/rooms/12345678" } ```` ### Input ```json { "locations": ["Paris, France"], "maxItemsPerLocation": 40, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` | Field | Description | | --- | --- | | `locations` | Cities/areas (e.g. "Paris, France") or full airbnb.com/s/ search URLs. | | `maxItemsPerLocation` | Max listings per location (1–1000, ~18 per page, default 40). | | `proxyConfiguration` | Proxy settings; residential is recommended and on by default. | ### Use cases - Benchmark nightly prices and occupancy signals across a market. - Track ratings and review counts of competing listings over time. - Map available inventory in a neighborhood using the coordinates. - Feed pricing and comp data into revenue-management workflows. ### Pricing Pay-per-event: you're billed a small amount per run and per item scraped β€” you only pay for what you get. See the **Pricing** tab for current rates. ### Notes This scraper only reads publicly available Airbnb search results β€” no login-walled content, host accounts or private data. It is an independent tool and is not affiliated with, authorized or endorsed by Airbnb; "Airbnb" and related marks belong to their respective owners. # Actor input Schema ## `locations` (type: `array`): Cities/areas (e.g. "Paris, France") or full airbnb.com/s/ search URLs (URLs let you set dates, guests & filters). One per line. ## `maxItemsPerLocation` (type: `integer`): Cap listings per location (~18 per page). ## `proxyConfiguration` (type: `object`): Residential proxy recommended (rotated per location). ## Actor input object example ```json { "locations": [ "Paris, France" ], "maxItemsPerLocation": 40, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "locations": [ "Paris, France" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hipersoft/airbnb-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "locations": ["Paris, France"] } # Run the Actor and wait for it to finish run = client.actor("hipersoft/airbnb-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "locations": [ "Paris, France" ] }' | apify call hipersoft/airbnb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hipersoft/airbnb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Scraper β€” Listings, Prices & Ratings", "description": "Search Airbnb by location and scrape listings: name, property type, price, rating, reviews, coordinates, photos, badges and link. No login or API key. For short-term rental, pricing and market research.", "version": "1.0", "x-build-id": "Y8zuFt0RwSOldr9wj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hipersoft~airbnb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hipersoft-airbnb-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hipersoft~airbnb-scraper/runs": { "post": { "operationId": "runs-sync-hipersoft-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hipersoft~airbnb-scraper/run-sync": { "post": { "operationId": "run-sync-hipersoft-airbnb-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "locations": { "title": "Locations", "type": "array", "description": "Cities/areas (e.g. \"Paris, France\") or full airbnb.com/s/ search URLs (URLs let you set dates, guests & filters). One per line.", "items": { "type": "string" } }, "maxItemsPerLocation": { "title": "Max listings per location", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap listings per location (~18 per page).", "default": 40 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential proxy recommended (rotated per location).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```