# Airbnb Reviews Scraper (`shahidirfan/airbnb-reviews-scraper`) Actor Extract reviews, ratings, and guest feedback from Airbnb listings at scale. Gather competitive insights, analyze property performance, and extract structured review data for research, SEO analysis, or market intelligence. Fast, reliable data extraction. - **URL**: https://apify.com/shahidirfan/airbnb-reviews-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Travel, SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Reviews Scraper Extract Airbnb stay reviews at scale using room URLs or property IDs. Build clean datasets with reviewer details, ratings, comment text, host responses, and timestamps for analytics, market research, and reputation monitoring. --- ### Features - **Simple input mode** — Run by Airbnb room URL or direct property ID. - **Messy ID handling** — Accepts numeric IDs, room links with query strings, and global ID formats. - **Review pagination** — Collects reviews across multiple pages until your target is reached. - **Null-free dataset output** — Excludes empty fields to keep data clean and analysis-ready. - **Auto-healing API context** — Refreshes Airbnb API key and persisted hash automatically when required. --- ### Use Cases #### Hospitality Reputation Monitoring Track guest sentiment, ratings, and recurring feedback points across one or multiple properties. #### Competitor Benchmarking Collect review quality signals for competing listings in the same destination. #### Product and Service Improvements Analyze repeated complaints and praise themes to improve stay quality and guest experience. #### Review Intelligence Workflows Feed clean review data into dashboards, BI pipelines, LLM summarization tools, or CRM automations. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |---|---|---|---|---| | `url` | String | No | `"https://www.airbnb.com/rooms/894121952750427608"` | Preferred input. Airbnb room URL (messy query strings are supported). | | `propertyId` | String | No | `"894121952750427608"` | Direct property ID. Supports numeric and global ID formats. | | `results_wanted` | Integer | No | `20` | Maximum number of review records to save. | | `max_pages` | Integer | No | `5` | Safety cap for pagination loops. | | `proxyConfiguration` | Object | No | Residential Apify Proxy | Proxy settings for reliability and stability. | --- ### Output Data Each dataset item contains available review metadata without empty/null values. | Field | Type | Description | |---|---|---| | `property_id` | String | Airbnb property numeric identifier. | | `property_url` | String | Airbnb room URL. | | `review_id` | String | Unique review identifier. | | `created_at` | String | Original review timestamp. | | `localized_date` | String | Human-readable review date. | | `rating` | Number | Review rating value. | | `language` | String | Review language. | | `comments` | String | Original review text. | | `localized_comment` | String | Localized/transformed review text when available. | | `response` | String | Host response text. | | `reviewer_first_name` | String | Reviewer first name. | | `reviewer_location` | String | Reviewer location text. | | `search_context` | String | URL or property ID context used in the run. | | `fetched_at` | String | Extraction timestamp. | --- ### Usage Examples #### Room URL Input ```json { "url": "https://www.airbnb.com/rooms/894121952750427608", "results_wanted": 20, "max_pages": 5 } ```` #### Property ID Input ```json { "propertyId": "894121952750427608", "results_wanted": 50, "max_pages": 8 } ``` #### Proxy Configuration ```json { "url": "https://www.airbnb.com/rooms/894121952750427608", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` *** ### Sample Output ```json { "property_id": "894121952750427608", "property_url": "https://www.airbnb.com/rooms/894121952750427608", "review_id": "1260917197138451137", "created_at": "2024-08-19T21:06:42.000Z", "localized_date": "August 2024", "rating": 5, "language": "en", "comments": "Very responsive host and great location.", "localized_comment": "Very responsive host and great location.", "reviewer_first_name": "Olivia", "reviewer_location": "Toronto, Canada", "search_context": "https://www.airbnb.com/rooms/894121952750427608", "fetched_at": "2026-04-22T11:34:08.120Z" } ``` *** ### Tips For Best Results #### Prioritize Direct Property Inputs Use `url` or `propertyId` whenever possible for the fastest and most deterministic collection. #### Keep Test Runs Small Start with `results_wanted: 20` during validation, then increase for production jobs. #### Enable Residential Proxy For stable long runs and reduced blocking risk, keep residential proxy enabled. #### Use URL Or Property ID This actor is optimized for single-property review extraction from direct room URLs and property IDs. *** ### Integrations - **Google Sheets** — Build review trackers and sentiment dashboards. - **Airtable** — Create searchable review intelligence databases. - **Looker Studio / BI tools** — Visualize rating and sentiment trends. - **Make / Zapier** — Trigger workflows from fresh review datasets. - **Webhooks** — Push output to your own API or internal systems. #### Export Formats - **JSON** — For APIs and programmatic pipelines. - **CSV** — For spreadsheet and analyst workflows. - **Excel** — For business reporting. - **XML** — For compatible legacy systems. *** ### Frequently Asked Questions #### Can I run with only a property ID? Yes. A numeric property ID is fully supported. #### Does it self-heal if Airbnb changes key/hash values? Yes. The actor auto-refreshes bootstrap API key and persisted operation hash at runtime. #### What happens if some review fields are missing? Missing/empty fields are excluded from output records automatically. #### Can I scrape more than one page of reviews? Yes. Use `max_pages` and `results_wanted` to control pagination depth. #### Will this work with long, messy room URLs? Yes. URLs with extra tracking parameters and query strings are supported. *** ### Support For issues, improvements, or feature requests, open a ticket via Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [Apify API Reference](https://docs.apify.com/api/v2) - [Apify Schedules](https://docs.apify.com/platform/schedules) *** ### Legal Notice This actor is intended for legitimate data collection and analysis workflows. Users are responsible for complying with applicable laws, platform terms, and usage limits. # Actor input Schema ## `url` (type: `string`): Preferred input. Use an Airbnb room URL (messy query strings supported). ## `propertyId` (type: `string`): Alternative input. Supports numeric ID, StayListing format, DemandStayListing format, or base64 global IDs. ## `results_wanted` (type: `integer`): Maximum number of reviews to save. ## `max_pages` (type: `integer`): Safety cap for API pagination loops. ## `proxyConfiguration` (type: `object`): Use Apify Proxy for reliable access. ## Actor input object example ```json { "url": "https://www.airbnb.com/rooms/894121952750427608", "propertyId": "894121952750427608", "results_wanted": 20, "max_pages": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "url": "https://www.airbnb.com/rooms/894121952750427608", "propertyId": "894121952750427608", "results_wanted": 20, "max_pages": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/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 = { "url": "https://www.airbnb.com/rooms/894121952750427608", "propertyId": "894121952750427608", "results_wanted": 20, "max_pages": 5, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/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 '{ "url": "https://www.airbnb.com/rooms/894121952750427608", "propertyId": "894121952750427608", "results_wanted": 20, "max_pages": 5 }' | apify call shahidirfan/airbnb-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/airbnb-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Reviews Scraper", "description": "Extract reviews, ratings, and guest feedback from Airbnb listings at scale. Gather competitive insights, analyze property performance, and extract structured review data for research, SEO analysis, or market intelligence. Fast, reliable data extraction.", "version": "0.0", "x-build-id": "3qw8C6jaq4BgdXcpQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~airbnb-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-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/shahidirfan~airbnb-reviews-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-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/shahidirfan~airbnb-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-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", "properties": { "url": { "title": "Airbnb URL", "type": "string", "description": "Preferred input. Use an Airbnb room URL (messy query strings supported)." }, "propertyId": { "title": "Property ID", "type": "string", "description": "Alternative input. Supports numeric ID, StayListing format, DemandStayListing format, or base64 global IDs." }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to save.", "default": 20 }, "max_pages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Safety cap for API pagination loops.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy for reliable access.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```