# Airbnb Services Reviews Scraper - Low-costπŸ’²πŸ”₯⭐🏠 (`delectable_incubator/airbnb-services-reviews-scraper---low-cost`) Actor Scrape Airbnb service reviews easily πŸ”ŽπŸ  by providing one or multiple URLs or IDs. Extract review comments, ratings, languages, reviewer names, locations, and more. Ideal for sentiment analysis, feedback insights, and Airbnb service research with fast, structured datasets at scale πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/airbnb-services-reviews-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Travel, Real estate - **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 Services Reviews Scraper - PrimeScrape

--- ### Airbnb Services Reviews Scraper πŸ”ŽπŸ’¬πŸ β­ The Airbnb Services Reviews Scraper is a fast, reliable, and scalable automation tool designed to extract structured review data directly from Airbnb service listings. It converts raw service reviews into clean, structured datasets ready for analytics, sentiment analysis, market research, and data-driven insights. --- ### Airbnb Services Reviews Scraper πŸ πŸ”πŸ“Š This scraper automatically extracts structured review data from Airbnb service pages using service URLs or IDs. Ideal for analysts, marketers, researchers, and data professionals. --- ### 🎯 What This Scraper Does Simply provide one or multiple Airbnb service URLs or IDs, and the scraper will automatically extract structured review data. βœ… Extracts reviews from Airbnb service pages βœ… Supports multiple service URLs or IDs βœ… Handles pagination automatically βœ… Respects maxitems limits βœ… Cleans and structures review data βœ… Captures reviewer & host information 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` | Review date | | ⭐ `rating` | Rating (1–5) | | ✨ `reviewHighlight` | Highlighted part of the review | πŸ‘€ Reviewer Fields | Field | Description | | ------------------------ | ------------------------ | | πŸ§‘ `reviewer_firstName` | Reviewer first name | | πŸ†” `reviewer_id` | Reviewer identifier | | πŸ“ `reviewer_location` | Reviewer location | | πŸ–Ό `reviewer_pictureUrl` | Reviewer profile picture | 🏠 Host Fields | Field | Description | | ------------------------ | -------------------- | | πŸ§‘ `reviewee_firstName` | Host first name | | πŸ–Ό `reviewee_pictureUrl` | Host profile picture | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide Airbnb service URLs or IDs: ```` { "services": \[ "https://www.airbnb.com/services/185781", "https://www.airbnb.com/services/298331" ], "maxitems": 50 } ``` 2️⃣ Run the Actor The scraper will: β€’ Load Airbnb service pages β€’ Extract reviews and ratings β€’ Capture reviewer & host data β€’ Handle pagination automatically 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 ``` { "services": \[ "https://www.airbnb.com/services/797574" ], "maxitems": 30 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | ------------------------------------------------ | | `services` | array | Bulk Airbnb service URLs or service IDs | | `maxitems` | integer | Maximum number of reviews to extract per service | --- ### πŸ“€ Output Example ``` { "id\_comment": "812739217", "comment": "Amazing experience! The host was extremely welcoming and knowledgeable.", "language": "en", "localizedDate": "March 2025", "rating": 5, "reviewer\_firstName": "Sarah", "reviewer\_id": "93827182", "reviewer\_location": "New York, USA", "reviewer\_pictureUrl": "https://a0.muscache.com/im/pictures/user/123.jpg", "reviewee\_firstName": "Carlos", "reviewee\_pictureUrl": "https://a0.muscache.com/im/pictures/host/456.jpg", "reviewHighlight": "Amazing experience!" } ```` --- ### 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 text | --- ### 🌍 Why Use This Scraper? πŸ’¬ Customer Feedback Analysis β€” Understand user satisfaction πŸ“Š Market Research β€” Compare services and trends ⭐ Sentiment Analysis β€” Analyze reviews at scale πŸ‘₯ Host Insights β€” Evaluate service quality πŸ“ˆ Data-Driven Decisions β€” Build analytics-ready datasets πŸ€– AI & Data β€” Train models on structured review data ⚑ 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:** $4.89 / 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 ## `services` (type: `array`): List of Airbnb service URLs or service IDs to scrape reviews from. Accepted formats: β€’ Full URL: https://www.airbnb.com/services/797574 β€’ Service ID only: 797574 ⚠️ Each entry must reference an Airbnb /services page. ## `maxitems` (type: `integer`): Maximum number of reviews to collect per service. The scraper will scroll until this number is reached, all reviews are loaded, or 5 consecutive scrolls produce no new results. ## Actor input object example ```json { "services": [ "https://www.airbnb.com/services/185781", "https://fr.airbnb.ca/services/940516" ], "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 = { "services": [ "https://www.airbnb.com/services/185781", "https://fr.airbnb.ca/services/940516" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/airbnb-services-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 = { "services": [ "https://www.airbnb.com/services/185781", "https://fr.airbnb.ca/services/940516", ], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/airbnb-services-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 '{ "services": [ "https://www.airbnb.com/services/185781", "https://fr.airbnb.ca/services/940516" ], "maxitems": 50 }' | apify call delectable_incubator/airbnb-services-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-services-reviews-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Services Reviews Scraper - Low-costπŸ’²πŸ”₯⭐🏠", "description": "Scrape Airbnb service reviews easily πŸ”ŽπŸ  by providing one or multiple URLs or IDs. \n\nExtract review comments, ratings, languages, reviewer names, locations, and more. \n\nIdeal for sentiment analysis, feedback insights, and Airbnb service research with fast, structured datasets at scale πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "DKvtd9BgHqI0ukixg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~airbnb-services-reviews-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-airbnb-services-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~airbnb-services-reviews-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-airbnb-services-reviews-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~airbnb-services-reviews-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-airbnb-services-reviews-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "services", "maxitems" ], "properties": { "services": { "title": "Airbnb Service URLs or IDs 🌐", "type": "array", "description": "List of Airbnb service URLs or service IDs to scrape reviews from.\n\nAccepted formats:\nβ€’ Full URL: https://www.airbnb.com/services/797574\nβ€’ Service ID only: 797574\n\n⚠️ Each entry must reference an Airbnb /services page.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum Reviews per Service πŸ“„", "type": "integer", "description": "Maximum number of reviews to collect per service. The scraper will scroll until this number is reached, all reviews are loaded, or 5 consecutive scrolls produce no new results.", "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 } } } } } } } } } } ```