# Airbnb Experiences Reviews Scraper - Low-costπŸ’²πŸ”₯✨ πŸ’¬ (`delectable_incubator/airbnb-experiences-reviews-scraper---low-cost`) Actor Scrape Airbnb Experiences reviews easily β­πŸ’¬. Extract ratings, guest comments, reviewer profiles, and host details from a single experience URL. Ideal for sentiment analysis, market research, and experience benchmarking with fast, structured datasets for smarter insights πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/airbnb-experiences-reviews-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Travel, Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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.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 Experiences Reviews Scraper - PrimeScrape

--- ### Airbnb Experiences Reviews Scraper πŸ”πŸ“βœ¨πŸ’¬ The Airbnb Experiences Reviews Scraper is a fast, reliable, and scalable automation tool designed to extract structured guest review data directly from Airbnb Experience pages. It converts raw reviews into clean, structured datasets ready for sentiment analysis, guest insights, benchmarking, and data-driven decision making. --- ### Airbnb Reviews Scraper πŸ’¬πŸ”ŽπŸ‘ This scraper automatically extracts structured review data from Airbnb Experience pages using a simple URL input. Ideal for analysts, marketers, researchers, and travel professionals. --- ### 🎯 What This Scraper Does Simply provide an Airbnb Experience URL and define the number of reviews to extract. The scraper will automatically collect and structure review data. βœ… Extracts Airbnb experience reviews βœ… Supports any public experience URL βœ… Handles pagination automatically βœ… Respects maxitems limits βœ… Cleans and structures review data βœ… Ready for analytics and integrations --- ### πŸ“Š Data Extracted πŸ“ Review Fields | Field | Description | | ------------------------ | ---------------------------------- | | πŸ†” `id_comment` | Unique review identifier | | πŸ’¬ `comment` | Full review text | | 🌐 `language` | Review language | | πŸ“… `localizedDate` | Human-readable review date | | ⭐ `rating` | Rating (1–5) | | πŸ‘€ `reviewer_firstName` | Reviewer first name | | πŸ”’ `reviewer_id` | Reviewer identifier | | πŸ“ `reviewer_location` | Reviewer location | | πŸ–Ό `reviewer_pictureUrl` | Reviewer profile picture | | 🏠 `reviewee_firstName` | Host first name | | πŸ–Ό `reviewee_pictureUrl` | Host profile picture | | ✨ `reviewHighlight` | Highlighted snippet (if available) | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide Bulk search parameters: ```` { "url": "\[https://www.airbnb.com/experiences/5749697]", "maxitems": 50 } ``` 2️⃣ Run the Actor The scraper will: β€’ Load the experience page β€’ Automatically paginate reviews β€’ Extract structured review data β€’ Stop when maxitems is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "url": "\[https://www.airbnb.com/experiences/5749697]", "maxitems": 50 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | ------------------------------------------------------------ | | `url` | string | Airbnb Experience URL (must end with `experiences/[number]`) | | `maxitems` | integer | Maximum number of reviews to extract | --- ### πŸ“€ Output Example ``` { "id\_comment": "QWN0aXZpdHlMaXN0aW5nUmV2aWV3OjE1NzYyNTEzMzkyNzM4NTMwMzE=", "comment": "The pizza making class was amazing!...", "language": "en", "localizedDate": "3 days ago", "rating": 5, "reviewer\_firstName": "Sanjana", "reviewer\_id": "VXNlcjo1MTY1MTc1NDk=", "reviewer\_location": "Milpitas, CA", "reviewer\_pictureUrl": "https://a0.muscache.com/...", "reviewee\_firstName": "Logan", "reviewee\_pictureUrl": "https://a0.muscache.com/...", "reviewHighlight": "The pizza making class was amazing!..." } ```` --- ### πŸ“Š Output explanation | Field | Description | | --------------------- | ----------------- | | `id_comment` | Review ID | | `comment` | Review text | | `language` | Language | | `localizedDate` | Review date | | `rating` | Rating score | | `reviewer_firstName` | Reviewer name | | `reviewer_id` | Reviewer ID | | `reviewer_location` | Reviewer location | | `reviewer_pictureUrl` | Reviewer image | | `reviewee_firstName` | Host name | | `reviewee_pictureUrl` | Host image | | `reviewHighlight` | Highlight snippet | --- ### 🌍 Why Use This Scraper? πŸ“Š Sentiment Analysis β€” Understand guest satisfaction 🧠 Data & AI β€” Build NLP and ML datasets πŸ” Guest Insights β€” Discover strengths and weaknesses πŸ† Experience Benchmarking β€” Compare Airbnb experiences πŸ“ˆ Product Improvement β€” Identify improvement areas ⚑ Scalable β€” Designed for high-volume extraction --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Airbnb. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $9.89 / 1000 results --- ### Related Actors If you're interested in other German πŸ‡©πŸ‡ͺ, Austrian πŸ‡¦πŸ‡Ή, Swiss πŸ‡¨πŸ‡­, or Dach or European πŸ‡ͺπŸ‡Ί scrapers, explore more scrapers across Europe πŸ‡©πŸ‡ͺπŸ‡ͺπŸ‡Ί (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `urls` (type: `array`): Enter one or more Airbnb experience URLs to scrape. Example: ["https://www.airbnb.com/experiences/148925", "https://www.airbnb.com/experiences/1234567"] ⚠️ Each URL must contain 'airbnb.com/experiences/' to fetch reviews correctly. ## `maxitems` (type: `integer`): The maximum number of reviews to retrieve per experience URL. ## Actor input object example ```json { "urls": [ "https://www.airbnb.com/experiences/148925" ], "maxitems": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.airbnb.com/experiences/148925" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/airbnb-experiences-reviews-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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 = { "urls": ["https://www.airbnb.com/experiences/148925"], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/airbnb-experiences-reviews-scraper---low-cost").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 '{ "urls": [ "https://www.airbnb.com/experiences/148925" ], "maxitems": 50 }' | apify call delectable_incubator/airbnb-experiences-reviews-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/airbnb-experiences-reviews-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Experiences Reviews Scraper - Low-costπŸ’²πŸ”₯✨ πŸ’¬", "description": "Scrape Airbnb Experiences reviews easily β­πŸ’¬. \n\nExtract ratings, guest comments, reviewer profiles, and host details from a single experience URL. \n\nIdeal for sentiment analysis, market research, and experience benchmarking with fast, structured datasets for smarter insights πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "UhwjG1GcNzXNNVFik" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~airbnb-experiences-reviews-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-airbnb-experiences-reviews-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~airbnb-experiences-reviews-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-airbnb-experiences-reviews-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~airbnb-experiences-reviews-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-airbnb-experiences-reviews-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "maxitems" ], "properties": { "urls": { "title": "Airbnb Experiences URLs 🌐", "type": "array", "description": "Enter one or more Airbnb experience URLs to scrape. \n\nExample: [\"https://www.airbnb.com/experiences/148925\", \"https://www.airbnb.com/experiences/1234567\"]\n\n⚠️ Each URL must contain 'airbnb.com/experiences/' to fetch reviews correctly.", "default": [ "https://www.airbnb.com/experiences/148925" ], "items": { "type": "string" } }, "maxitems": { "title": "Maximum Reviews to Fetch per URL πŸ“„", "type": "integer", "description": "The maximum number of reviews to retrieve per experience URL.", "default": 50 } } }, "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 } } } } } } } } } } ```