# Airbnb Property Reviews Scraper (`nifty.codes/airbnb-reviews-scraper`) Actor Extract guest reviews from Airbnb listing pages including ratings, text, and host responses. Powered by Airbnb Scraper. - **URL**: https://apify.com/nifty.codes/airbnb-reviews-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** Travel, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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. 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 Property Reviews Scraper This actor extracts Reviews in a List from Airbnb. It targets specific listing pages to collect guest feedback, ratings, and host interactions. Use this tool to analyze guest sentiment and property performance. #### Data Fields | Field Name | Description | Example | | :--- | :--- | :--- | | Listing ID | Unique identifier for the property | 12345678 | | Review Text | The content of the guest review | The stay was wonderful and the view was great. | | Review Rating | Numeric score given by the guest | 5 | | Review Date | Date the review was posted | 2023-10-15 | | Review Language | Detected language of the text | en | | Reviewer Name | First name of the guest | John | | Reviewer ID | Unique identifier for the guest | 9876543 | | Reviewer Photo | URL to the guest profile image | https://a0.muscache.com/im/users/1.jpg | | Reviewer Location | Stated location of the guest | New York, NY | | Host Name | Name of the property host | Sarah | | Host ID | Unique identifier for the host | 5544332 | | Host Photo | URL to the host profile image | https://a0.muscache.com/im/users/2.jpg | | Host Profile URL | Link to the host profile page | https://www.airbnb.com/users/show/5544332 | | Host Is Superhost | Boolean status of the host | true | | Host Response | Text of the host reply | Thank you for staying with us John! | | Host Response Date | Date the host replied | 2023-10-16 | | Review Highlight | Short summary or tag for the review | Great location | | Collection Tag | Category assigned to the review | Cleanliness | | Review Photos | Array of images uploaded by the guest | ["https://a0.muscache.com/im/pictures/miso/1.jpg"] | #### Input - `urls`: Array of Airbnb listing URL strings. Use URLs that point directly to property pages. - `maxItems`: Maximum number of reviews to extract per listing. Default is 100. #### Example Input ```json { "urls": ["https://www.airbnb.com/rooms/12345678"], "maxItems": 50 } ```` #### Example Output ```json [ { "listingId": "12345678", "reviewText": "Amazing apartment in the heart of the city.", "reviewRating": 5, "reviewDate": "2023-11-01", "reviewLanguage": "en", "reviewerName": "Alice", "reviewerId": "112233", "reviewerPhoto": "https://example.com/photo1.jpg", "reviewerLocation": "London, UK", "hostName": "Robert", "hostId": "445566", "hostPhoto": "https://example.com/host1.jpg", "hostProfileUrl": "https://www.airbnb.com/users/show/445566", "hostIsSuperhost": true, "hostResponse": "Glad you enjoyed it Alice!", "hostResponseDate": "2023-11-02", "reviewHighlight": "Sparkling clean", "collectionTag": "Value", "reviewPhotos": [] }, { "listingId": "12345678", "reviewText": "The check-in process was very easy.", "reviewRating": 4, "reviewDate": "2023-10-20", "reviewLanguage": "en", "reviewerName": "Bob", "reviewerId": "778899", "reviewerPhoto": "https://example.com/photo2.jpg", "reviewerLocation": "Paris, FR", "hostName": "Robert", "hostId": "445566", "hostPhoto": "https://example.com/host1.jpg", "hostProfileUrl": "https://www.airbnb.com/users/show/445566", "hostIsSuperhost": true, "hostResponse": null, "hostResponseDate": null, "reviewHighlight": "Easy check-in", "collectionTag": "Accuracy", "reviewPhotos": ["https://example.com/room.jpg"] } ] ``` #### Want more from Airbnb? This actor only covers **Reviews in a List**. The full **Airbnb Scraper** browser extension also includes **Properties in a List, Property Details, Property Availability, Host Details, Host Properties** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Airbnb Scraper extension](https://nifty.codes/e/airbnb-scraper)** #### Disclaimer This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: airbnb.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## `enablePagination` (type: `boolean`): Load more results beyond the first page. ## `maxPages` (type: `integer`): Maximum number of pagination actions (pages, scrolls, or loads) ## Actor input object example ```json { "urls": [ "https://www.airbnb.com/rooms/833948905683235085/reviews?adults=1&check_in=2026-07-01&check_out=2026-07-06&guests=1&search_mode=regular_search&children=0&infants=0&pets=0&source_impression_id=p3_1769532062_P3Zc59fW68xtmnl9&previous_page_section_name=1000&federated_search_id=c1fe9163-04b5-4470-a917-338940a4f5ef" ], "maxItems": 100, "enablePagination": true, "maxPages": 1 } ``` # 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("nifty.codes/airbnb-reviews-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("nifty.codes/airbnb-reviews-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 nifty.codes/airbnb-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/airbnb-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Property Reviews Scraper", "description": "Extract guest reviews from Airbnb listing pages including ratings, text, and host responses. Powered by Airbnb Scraper.", "version": "3.2", "x-build-id": "1w5K1pdwLs8UCt2fy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~airbnb-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-airbnb-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~airbnb-reviews-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-airbnb-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~airbnb-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-airbnb-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "URLs to scrape. Must match: airbnb.com", "items": { "type": "string" }, "default": [ "https://www.airbnb.com/rooms/833948905683235085/reviews?adults=1&check_in=2026-07-01&check_out=2026-07-06&guests=1&search_mode=regular_search&children=0&infants=0&pets=0&source_impression_id=p3_1769532062_P3Zc59fW68xtmnl9&previous_page_section_name=1000&federated_search_id=c1fe9163-04b5-4470-a917-338940a4f5ef" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "default": 100 }, "enablePagination": { "title": "Paginate", "type": "boolean", "description": "Load more results beyond the first page.", "default": true }, "maxPages": { "title": "Max pagination steps", "minimum": 1, "type": "integer", "description": "Maximum number of pagination actions (pages, scrolls, or loads)", "default": 1 } } }, "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 } } } } } } } } } } ```