# Airbnb Reviews Scraper — Ratings, Comments & Replies (`veeronica/airbnb-reviews-scraper`) Actor Get every guest review from any Airbnb listing: ratings, comments (original and translated), dates, reviewer profiles, host replies, and review photos. Paste listing URLs or IDs and export to JSON, CSV, or Excel. - **URL**: https://apify.com/veeronica/airbnb-reviews-scraper.md - **Developed by:** [Veronica](https://apify.com/veeronica) (community) - **Categories:** Travel, Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 14.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 reviews 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 Reviews Scraper — Ratings, Comments & Replies Get every guest review from any Airbnb listing as clean, structured data — ratings, comments, dates, reviewer profiles, host replies, and review photos. Paste a few links, click Start, and download your reviews in seconds. ### What you can do - Pull thousands of reviews from one or many listings in a single run. - Get the original review **and** its translation into your chosen language. - Capture each reviewer's profile, the host's public reply, and any review photos. - Sort by most recent, most relevant, highest, or lowest rated. - Export everything to JSON, CSV, or Excel. ### How to use it 1. Add your Airbnb listings — paste listing links (e.g. `https://www.airbnb.com/rooms/44370718`) or just the numeric IDs. One per line. 2. Pick a sort order and how many reviews you want per listing (use `0` for all). 3. Click **Start**. 4. Download your results as JSON, CSV, or Excel. ### What you get One row per review: | Field | What it is | |---|---| | `rating` | Star rating the guest gave (1–5) | | `comments` | The review, in the language it was written | | `localizedComments` | The review translated into your chosen language | | `createdAt` / `localizedDate` | When the review was posted | | `reviewer` | Reviewer name, ID, photo, and profile link | | `response` / `respondedDate` | The host's public reply, when there is one | | `photos` | Photos the guest attached to the review | | `listingId` / `listingUrl` | The listing the review belongs to | #### Example ```json { "listingId": "44370718", "listingUrl": "https://www.airbnb.com/rooms/44370718", "id": "1645617261245597089", "rating": 5, "createdAt": "2026-03-20T12:27:44Z", "localizedDate": "March 2026", "comments": "Amazing stay! The view over Istanbul is unreal and the host was incredibly helpful.", "localizedComments": "Amazing stay! The view over Istanbul is unreal and the host was incredibly helpful.", "language": "en", "reviewerSubtitle": "Baku, Azerbaijan", "reviewer": { "id": "205076788", "firstName": "Nemat", "pictureUrl": "https://a0.muscache.com/im/pictures/user/original/9bcec093.jpeg", "profilePath": "/users/profile/1475437034935008860", "profileUrl": "https://www.airbnb.com/users/profile/1475437034935008860" }, "response": "Thank you so much for the kind words — you're welcome back any time!", "respondedDate": "May 2026", "photos": [] } ```` ### Why scrape Airbnb reviews? - **Reputation tracking** — see what guests say about your listings or your competitors' over time. - **Market research** — mine sentiment across many properties in an area. - **Host benchmarking** — compare ratings, reply rates, and common praise or complaints. - **Analysis & dashboards** — feed clean review data into spreadsheets, BI tools, or your own models. ### Pricing You pay only for the reviews you get — no subscriptions, no surprises. Set **Maximum reviews per listing** to control your spend. ### FAQ **Can I scrape several listings at once?** Yes. Add as many listing URLs or IDs as you like and they're processed one after another. **Can I get all reviews for a listing?** Yes — set **Maximum reviews per listing** to `0` to fetch every available review. **Do I need an account or API key?** No. Just add your listings and click Start. # Actor input Schema ## `listingUrls` (type: `array`): The Airbnb listings to get reviews from. Paste full links (e.g. https://www.airbnb.com/rooms/44370718) or just the numeric IDs (e.g. 44370718) — one per line. Add as many as you like. ## `maxReviews` (type: `integer`): How many reviews you want from each listing. Use 0 to get them all. ## `sortBy` (type: `string`): Which reviews come first. With a maximum set, this decides which ones you get. ## `locale` (type: `string`): Language for the translated review text. The original comments are always returned in the language the guest wrote them. ## `currency` (type: `string`): Currency sent with the request. Has no effect on review content. ## Actor input object example ```json { "listingUrls": [ "https://www.airbnb.com/rooms/44370718" ], "maxReviews": 100, "sortBy": "MOST_RECENT", "locale": "en", "currency": "USD" } ``` # Actor output Schema ## `results` (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 = { "listingUrls": [ "https://www.airbnb.com/rooms/44370718" ] }; // Run the Actor and wait for it to finish const run = await client.actor("veeronica/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 = { "listingUrls": ["https://www.airbnb.com/rooms/44370718"] } # Run the Actor and wait for it to finish run = client.actor("veeronica/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 '{ "listingUrls": [ "https://www.airbnb.com/rooms/44370718" ] }' | apify call veeronica/airbnb-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=veeronica/airbnb-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Reviews Scraper — Ratings, Comments & Replies", "description": "Get every guest review from any Airbnb listing: ratings, comments (original and translated), dates, reviewer profiles, host replies, and review photos. Paste listing URLs or IDs and export to JSON, CSV, or Excel.", "version": "1.0", "x-build-id": "XrXjcDY4s5lcUF6eL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/veeronica~airbnb-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-veeronica-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/veeronica~airbnb-reviews-scraper/runs": { "post": { "operationId": "runs-sync-veeronica-airbnb-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/veeronica~airbnb-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-veeronica-airbnb-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "listingUrls" ], "properties": { "listingUrls": { "title": "Listing URLs or IDs", "type": "array", "description": "The Airbnb listings to get reviews from. Paste full links (e.g. https://www.airbnb.com/rooms/44370718) or just the numeric IDs (e.g. 44370718) — one per line. Add as many as you like.", "items": { "type": "string" } }, "maxReviews": { "title": "Maximum reviews per listing", "minimum": 0, "type": "integer", "description": "How many reviews you want from each listing. Use 0 to get them all.", "default": 100 }, "sortBy": { "title": "Sort reviews by", "enum": [ "MOST_RECENT", "BEST_QUALITY", "RATING_DESC", "RATING_ASC" ], "type": "string", "description": "Which reviews come first. With a maximum set, this decides which ones you get.", "default": "MOST_RECENT" }, "locale": { "title": "Language", "type": "string", "description": "Language for the translated review text. The original comments are always returned in the language the guest wrote them.", "default": "en" }, "currency": { "title": "Currency", "type": "string", "description": "Currency sent with the request. Has no effect on review content.", "default": "USD" } } }, "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 } } } } } } } } } } ```