Airbnb Reviews Scraper

Extract public guest reviews from Airbnb listing URLs. Add one or more room URLs and get structured review text, dates, reviewer metadata, listing ratings, review counts, languages, and host responses when Airbnb makes them public.

What does Airbnb Reviews Scraper do?

Airbnb Reviews Scraper turns public Airbnb room pages into clean review datasets. It is built for teams that need recurring guest feedback, reputation monitoring, competitor research, or market intelligence without copying reviews by hand.

The actor accepts Airbnb room URLs such as https://www.airbnb.com/rooms/20669368 and saves one dataset item per review.

Who is it for?

• 🏡 Property managers tracking guest sentiment across their own listings.
• 📊 Short-term rental analysts comparing competing stays in a destination.
• ⭐ Reputation teams monitoring recent public guest feedback.
• 🧭 Hospitality researchers building review datasets for market studies.
• 🤖 Automation teams feeding reviews into BI, CRM, or AI workflows.

Why use this actor?

• Saves structured review rows instead of screenshots or copied text.
• Includes listing context with every review for easy exports.
• Supports multiple Airbnb URLs in one run.
• Lets you cap reviews per listing to control run size and cost.
• Works through Apify datasets, API, webhooks, integrations, and MCP.

What data can it extract?

Field	Description
listingUrl	Normalized Airbnb room URL
listingId	Airbnb listing ID
listingTitle	Public listing title when available
overallRating	Listing-level overall rating when available
reviewCount	Listing-level public review count
reviewId	Stable Airbnb review ID
reviewerName	Public reviewer first/display name
reviewerProfileUrl	Public Airbnb profile URL when exposed
reviewerLocation	Reviewer location when exposed
reviewDate	Review creation date
rating	Per-review rating when Airbnb exposes it
language	Review language code
text	Review text with HTML cleaned
translatedText	Translated/localized text when visible
responseText	Host response text when visible
responseDate	Host response date when visible
scrapedAt	Timestamp for the scrape

How much does it cost to scrape Airbnb reviews?

This actor uses pay-per-event pricing. A run has a small start charge and then charges per review saved. Keep maxReviewsPerListing low for test runs, then increase it once your input list is ready.

Recommended first test:

• 1 Airbnb listing URL
• 10 reviews per listing
• Default proxy settings

Quick start

1. Open the actor on Apify.
2. Paste one or more Airbnb room URLs into Airbnb listing URLs.
3. Set Maximum reviews per listing.
4. Run the actor.
5. Download results from the dataset as JSON, CSV, Excel, XML, or HTML.

Input

{
  "startUrls": [
    { "url": "https://www.airbnb.com/rooms/20669368" }
  ],
  "maxReviewsPerListing": 10,
  "sort": "default",
  "proxyConfiguration": { "useApifyProxy": true }
}

Input fields

Airbnb listing URLs

Use public Airbnb room URLs. Search result pages, wishlists, and account-only pages are not supported in the first version.

Maximum reviews per listing

Controls how many reviews are saved for each listing URL. If a listing has fewer public reviews than requested, the actor saves the available reviews.

Review sort order

Use Airbnb default order or request recent reviews when the upstream endpoint honors that setting.

Proxy configuration

The default Apify Proxy configuration is suitable for most small public-review runs. If Airbnb blocks your traffic, try a different proxy group or country.

Output example

{
  "listingUrl": "https://www.airbnb.com/rooms/20669368",
  "listingId": "20669368",
  "listingTitle": "Little Country Houses - Finley's Fort + hot tub",
  "overallRating": 4.9,
  "reviewCount": 308,
  "reviewId": "1701461540622642748",
  "reviewerName": "Gabriella",
  "reviewerProfileUrl": "https://www.airbnb.com/users/show/755284424",
  "reviewerLocation": null,
  "reviewDate": "2026-06-05T13:40:21Z",
  "rating": null,
  "language": "en",
  "text": "Our stay here was Superb...",
  "translatedText": null,
  "responseText": null,
  "responseDate": null,
  "scrapedAt": "2026-06-26T00:00:00.000Z"
}

Tips for best results

• Use direct /rooms/ URLs.
• Start with 5-10 reviews per listing for testing.
• Remove duplicate URLs before large runs.
• Split very large URL lists into smaller batches.
• Review the dataset sample before connecting automation.

Common workflows

Reputation monitoring

Run the actor weekly on your managed listings and send new rows to your dashboard or spreadsheet.

Market research

Collect reviews from competing listings in the same destination and compare guest language, sentiment, and frequency.

Guest experience analysis

Export text to your NLP or LLM pipeline to classify recurring topics such as cleanliness, check-in, location, host communication, and amenities.

Integrations

Apify datasets connect to:

• Google Sheets
• Make
• Zapier
• Webhooks
• BigQuery exports
• S3-compatible storage
• Custom API clients

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/airbnb-reviews-scraper').call({
  startUrls: [{ url: 'https://www.airbnb.com/rooms/20669368' }],
  maxReviewsPerListing: 10,
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('fetch_cat/airbnb-reviews-scraper').call(run_input={
    'startUrls': [{'url': 'https://www.airbnb.com/rooms/20669368'}],
    'maxReviewsPerListing': 10,
})
print(run['defaultDatasetId'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~airbnb-reviews-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"startUrls":[{"url":"https://www.airbnb.com/rooms/20669368"}],"maxReviewsPerListing":10}'

MCP usage

Use the Apify MCP server to run this actor from Claude Code, Claude Desktop, or other MCP clients.

MCP URL format:

https://mcp.apify.com/?tools=fetch_cat/airbnb-reviews-scraper

Claude Code setup:

$claude mcp add apify-airbnb-reviews "https://mcp.apify.com/?tools=fetch_cat/airbnb-reviews-scraper"

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-airbnb-reviews": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/airbnb-reviews-scraper"
    }
  }
}

Example prompts:

• "Run Airbnb Reviews Scraper for this listing and summarize the latest guest complaints."
• "Get 25 public reviews from these three Airbnb URLs and export them as CSV."
• "Compare guest sentiment across these competitor listings."

Data quality notes

Airbnb may not expose every field for every review. For example, per-review star ratings, reviewer location, translated text, or host response can be missing. Missing fields are returned as null rather than invented.

Limitations

• Supports public Airbnb room/listing pages only.
• Does not access private account data.
• Does not bypass login-only, CAPTCHA, or blocked pages.
• Availability, prices, and booking calendars are outside this actor's scope.

Legality

Use Airbnb Reviews Scraper responsibly and only for data you are allowed to process.

Legal and responsible use

This actor is intended for public web data. Review Airbnb's terms, privacy requirements, and applicable laws before using scraped data. Do not use the output for spam, harassment, or discriminatory decisions.

FAQ

Can it scrape private reviews?

No. It only extracts publicly visible review data from public Airbnb listing pages.

Why are some fields null?

Airbnb does not expose every review attribute on every listing. The actor keeps the row and leaves unavailable values as null.

Can I scrape many listings at once?

Yes. Add multiple room URLs and set a reasonable per-listing review cap. For large batches, use smaller chunks.

What if a listing was removed?

Removed, private, or blocked listings may return an HTTP error. Check the run log for the affected URL.

Does it support API and MCP automation?

Yes. You can call the actor through the Apify API, schedule it, connect webhooks, or run it via Apify MCP.

Related actors

• Airbnb Listings Scraper: https://apify.com/fetch_cat/airbnb-listings-scraper

Changelog

0.1

Initial version for public Airbnb room review extraction.

Support

If a run fails, include the run ID, input URLs, and expected result count when opening an issue. This helps reproduce the problem quickly.