Airbnb Reviews Scraper

Scrape every review for any Airbnb listing — star rating, full comment text, review date, reviewer name + location, Superhost flag, the host's public reply, review photos, and topic tags. Give it a listing URL or a room ID and get back one clean JSON record per review. HTTP-only, fast, and built to be called by AI agents (MCP-ready).

What it does

For each Airbnb listing you provide, this actor pulls the complete public review history straight from Airbnb's own review API and returns it as structured data. No browser automation, no login, no cookies — just reliable, paginated JSON.

When to use it

• Sentiment & topic analysis — feed thousands of guest reviews into an LLM or sentiment model.
• Competitor & market research — compare review volume, ratings, and recurring complaints across listings.
• Property management QA — monitor what guests say about your portfolio and how hosts respond.
• Academic / data science — build datasets of hospitality reviews at scale.
• AI agents — a single listing URL in, structured reviews out, with predictable per-review pricing.

Not for: Airbnb search/result pages, Experiences, or host profile data. For listing prices, amenities, and host metadata use the companion Airbnb Scraper.

Output

One record per review:

Field	Description
listingId	Numeric Airbnb room ID
listingUrl	Listing URL
listingTitle	Listing/room title
listingReviewsCount	Total public reviews on the listing
reviewId	Unique review ID
rating	Star rating 1–5
comments	Full original review text
localizedReview	Airbnb auto-translated text (when available)
language	Review language code
createdAt	Review date (ISO 8601)
localizedDate	Human date ("1 week ago")
reviewerId	Reviewer's user ID
reviewerName	Reviewer first name
reviewerLocation	Reviewer geographic location (when Airbnb shows a place)
reviewerTenure	Reviewer account tenure when shown instead of a location (e.g. "2 months on Airbnb")
reviewerIsSuperhost	Whether the reviewer is a Superhost
reviewerPictureUrl	Reviewer profile photo URL
reviewerProfileUrl	Reviewer profile URL
hostResponse	Host's public reply (null if none)
hostResponseDate	When the host replied
reviewPhotoUrls	Array of guest review photo URLs
highlightType	Airbnb review highlight tag
channel	Booking channel
scrapedAt	Scrape timestamp (ISO 8601)

Example record

{
  "listingId": "20669368",
  "listingUrl": "https://www.airbnb.com/rooms/20669368",
  "listingTitle": "Cosy Cotswold Cabin",
  "listingReviewsCount": 308,
  "reviewId": "1701461540622642748",
  "rating": 5,
  "comments": "Our stay here was superb. The cabin was lovely, very clean and stylish...",
  "language": "en",
  "createdAt": "2026-06-05T13:40:21Z",
  "localizedDate": "1 week ago",
  "reviewerName": "Gabriella",
  "reviewerLocation": "London, United Kingdom",
  "reviewerIsSuperhost": false,
  "hostResponse": null,
  "reviewPhotoUrls": [],
  "scrapedAt": "2026-06-18T09:00:00Z"
}

Pricing

Pay-per-event:

• Actor start: $0.00005 per run
• Review scraped: $0.004 per review

A listing with 100 reviews costs about $0.40. Use Max reviews per listing to cap spend exactly — it also limits how many reviews are billed.

Input

Field	Type	Description
listingUrls	array	Airbnb listing URLs (e.g. https://www.airbnb.com/rooms/20669368)
listingIds	array	Numeric room IDs (alternative to URLs)
maxReviewsPerListing	integer	Cap per listing; 0 = all reviews. Default 100
sortBy	enum	MOST_RECENT, RATING_DESC (highest first), RATING_ASC (lowest first)
language	string	Locale for dates/translations. Default en
includeHostResponse	boolean	Include host replies. Default true
proxyConfiguration	object	Defaults to Apify Datacenter (US)

Example input

{
  "listingUrls": ["https://www.airbnb.com/rooms/20669368"],
  "maxReviewsPerListing": 100,
  "sortBy": "MOST_RECENT",
  "includeHostResponse": true
}

Usage

Apify API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('khadinakbar/airbnb-reviews-scraper').call({
    listingUrls: ['https://www.airbnb.com/rooms/20669368'],
    maxReviewsPerListing: 200,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Apify API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("khadinakbar/airbnb-reviews-scraper").call(run_input={
    "listingUrls": ["https://www.airbnb.com/rooms/20669368"],
    "maxReviewsPerListing": 200,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

MCP (AI agents)

Exposed in the Apify MCP server as khadinakbar/airbnb-reviews-scraper. An agent passes a listing URL and gets structured reviews back, billed per review.

FAQ

How many reviews can it get? All public reviews on a listing — listings with thousands of reviews are paginated automatically.

Do I need cookies or a login? No. It uses Airbnb's public review API. No account, no cookies.

Can I scrape multiple listings at once? Yes — pass many URLs/IDs. Reviews are de-duplicated by review ID.

What proxies does it use? Apify datacenter proxies (US) by default, which work reliably against Airbnb's public review API. You can switch to Residential in the proxy settings for very large jobs if needed.

What if a listing has no reviews? You get a clean, successful run with zero billed reviews for that listing.

Legal & compliance

This actor collects only publicly available review data. It does not access private data or bypass authentication. You are responsible for using the data in compliance with Airbnb's Terms of Service, applicable laws (including GDPR/CCPA where relevant), and for any further processing of personal data contained in reviews. Use for lawful purposes only.