Airbnb Reviews Scraper

Export public Airbnb guest reviews from listing URLs to CSV, Excel, JSON, or the Apify API. Get review text, dates, reviewer details, listing ratings, review counts, languages, and host responses when Airbnb makes them public.

Start with a small review cap. Individual review ratings and host responses can be missing. Listing-wide ratings are not substitutes for them.

Quick start

Paste public Airbnb room URLs, choose a small per-listing cap, then run the Actor and inspect the dataset.

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

Prefer a video guide? This short Apify walkthrough shows you how to set up and run an Actor. It uses a different Actor, but the setup steps are the same.

Ready-to-run examples

Choose a public example to see its settings before starting a run:

• Compare Airbnb reviews for two listings
• Scrape recent Airbnb listing reviews

What you get

One row per selected public guest review, with listing and review identifiers, original review text and any available date, rating or host response. Listing-wide rating and review count provide context rather than per-review measures. Optional fields can be null, and filters may leave fewer saved rows than the fetched batch.

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.

How you can use the data

Reputation monitoring

Use date filters and compare review identifiers in your own workflow to send new rows to a dashboard or spreadsheet. Recurring execution is configured separately in Apify, not built into this Actor.

Market research

Collect reviews from competing listings in the same destination and keep listingId, reviewId, reviewDate and text together. Compare guest language, sentiment and review frequency in your own analysis, accounting for missing dates and the fetched-batch limit.

Guest experience analysis

Export text and available responseText to your NLP or LLM workflow to classify recurring topics such as cleanliness, check-in, location, host communication and amenities. Keep the original review and listing identifiers beside each classification so a reviewer can trace it back.

Input settings

Setting	JSON key	Type / default	What it does
Airbnb listing URLs	startUrls	array / required	Public Airbnb /rooms/ URLs. Up to 100 unique listings per run. For continuation-only input, use an empty array with resumeListingUrls.
Maximum reviews per listing	maxReviewsPerListing	integer / 25	Limit the review batch examined for each listing. Date, rating, and keyword filters are applied after retrieval, so the saved matching count can be lower. Minimum 1. Maximum 1000.
Review sort order	sort	string / "default"	Use Airbnb's default order or request recent reviews when available. Values: default, recent.
Only reviews on or after	dateFrom	string / not set	Optional inclusive ISO date (YYYY-MM-DD). Useful for collecting new reviews in scheduled runs.
Only reviews on or before	dateTo	string / not set	Optional inclusive ISO date (YYYY-MM-DD).
Minimum review rating	minRating	integer / not set	Optional minimum per-review star rating to save. Minimum 1. Maximum 5.
Maximum review rating	maxRating	integer / not set	Optional maximum per-review star rating to save. Minimum 1. Maximum 5.
Review keyword	keyword	string / not set	Optional word or phrase that must appear in the review, its Airbnb translation, or the host response.
Resume pending listing URLs	resumeListingUrls	array / not set	Optional continuation URLs from the PENDING_LISTINGS record after a time-limited run. Normal runs do not need this field.
Run safety limit (seconds)	runSafetySeconds	integer / 270	Optional early-stop limit for larger batches. The Actor saves completed review rows and a PENDING_LISTINGS checkpoint before this limit, leaving time for clean shutdown. Minimum 60. Maximum 270.
Proxy configuration	proxyConfiguration	object / {"useApifyProxy":true}	Managed proxy access by default. See field help for custom settings and direct access.

Example inputs

Use the Quick start input as a small first run. Adjust the fields described above for your own data.

Output data

Synthetic shape-only example, not a result from a verified run. Text and identifiers illustrate the fields. Unavailable optional values are null.

{
  "listingUrl": "https://www.airbnb.com/rooms/20669368",
  "listingId": "20669368",
  "listingTitle": null,
  "overallRating": null,
  "reviewCount": null,
  "reviewId": "REVIEW_ID",
  "reviewerName": null,
  "reviewerProfileUrl": null,
  "reviewerLocation": null,
  "reviewDate": null,
  "rating": null,
  "language": null,
  "text": "PUBLIC_REVIEW_TEXT",
  "translatedText": null,
  "responseText": null,
  "responseDate": null,
  "scrapedAt": "2026-06-26T00:00:00.000Z"
}

More output fields

JSON key	Type	Meaning
listingUrl	string	Normalized public Airbnb room URL for this review.
listingId	string	Airbnb listing identifier. Use with reviewId when comparing exports.
listingTitle	string / null	Listing title when publicly available.
overallRating	number / null	Listing-wide average rating, not the rating of this review. Repeated across reviews. Do not sum it.
reviewCount	integer / null	Listing-wide review count, not the number of rows returned by this run.
reviewId	string	Identifier of the individual guest review.
reviewerName	string / null	Public reviewer display name. Not contact information.
reviewerProfileUrl	string / null	Public Airbnb reviewer profile URL when supplied.
reviewerLocation	string / null	Reviewer location text when supplied. Null means unavailable.
reviewDate	string / null	Review date supplied by Airbnb. Null when unavailable.
rating	number / null	Individual review star rating when supplied. Null means unavailable, not zero.
language	string / null	Language code reported for the original review, when available.
text	string	Original public guest review text.
translatedText	string / null	Translation supplied by Airbnb when available. This Actor does not generate a translation.
responseText	string / null	Public host response to this review when available.
responseDate	string / null	Date of the host response when available.
scrapedAt	string	UTC timestamp when this row was collected.

Download your results

Open your run's dataset, choose Export and select JSON, CSV or Excel. JSON keeps nested fields together. CSV and Excel are useful when you want to review the records in a spreadsheet.

See Apify's download and export guide for the available formats and field options.

Pricing

The start event is charged once after input validation. The item event is charged for each review selected for export, immediately before it is saved. Filtered-out reviews are not charged as results. A run with no matching reviews can still incur its start charge.

See the live Pricing tab for current rates and discounts. Check the cost shown for your account before scaling a run. Any applicable platform usage is shown by Apify separately.

Tips for best results

• Use direct public /rooms/ URLs. Start with a known listing rather than an Airbnb search page.
• Start with 5–10 reviews per listing. Inspect text, dates and optional ratings before connecting a larger workflow.
• Check filter effects against the fetched batch. Date and rating filters can reduce the saved count rather than causing more reviews to be fetched.
• Keep both listing and review identifiers. Use them in your downstream comparison to avoid double-counting reviews across exports.
• Remove duplicate URLs and split large lists. Keep each run within the supported 100 unique listings.

Limits and caveats

The current Actor processes up to 100 unique listing URLs per run. Additional URLs are not processed or included in the continuation checkpoint. Supported country-domain Airbnb room URLs are normalized to www.airbnb.com. Filters apply within the fetched maxReviewsPerListing batch. It does not keep searching until it saves that many matching reviews. With rating filters, reviews whose rating is null are excluded. With date filters, reviews whose date is missing or unreadable are excluded.

If no reviews are saved, including when filters exclude all fetched reviews, the current Actor fails the run and still incurs its start charge. Check RUN_SUMMARY for per-listing outcomes. This is not proof that a listing is private or deleted. PENDING_LISTINGS can restart a partly processed listing. Reviews fetched again in a separate run can be charged again. Compare listingId and reviewId downstream to avoid double-counting. Use date filters or omit completed listing URLs where appropriate to limit repeat work.

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.

Automation and integrations

Save your settings for next time

Once you have an input that works for you, save it as an Apify task. This keeps your settings together so you can use them again without filling in the form from scratch.

Run on a schedule

Need fresh results regularly? You can schedule the Actor or a saved task to run at a time that suits you.

Each scheduled run collects the data again. If you want to compare results or highlight changes, add that step in your own workflow.

Send results to your other tools

Use n8n, Make or Zapier to connect this scraper to the rest of your workflow. For example, you could pass its results to an AI assistant or add records to a spreadsheet. Follow the Apify integration guides for your chosen tool.

For a custom connection, an Apify webhook can notify your app when a run finishes or fails. Your app can then fetch the results or handle the failure.

API usage

Want to collect this data from your own app or automation? The examples below send input to the scraper and show how to collect its results.

The Node.js and Python examples wait for the run to finish before reading its results. The cURL example starts the run and returns its details. Wait for that run to finish, then use its defaultDatasetId to fetch the results.

For setup instructions, see Apify's JavaScript client guide, Python client guide and Actor runs API reference.

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~airbnb-reviews-scraper/runs' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  --data @- <<'JSON'
{
  "startUrls": [
    {
      "url": "https://www.airbnb.com/rooms/20669368"
    }
  ],
  "maxReviewsPerListing": 10,
  "sort": "recent"
}
JSON

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,
  "sort": "recent"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/airbnb-reviews-scraper').call(run_input={'startUrls': [{'url': 'https://www.airbnb.com/rooms/20669368'}], 'maxReviewsPerListing': 10, 'sort': 'recent'})
print(client.dataset(run['defaultDatasetId']).list_items().items)

Integrations notes

Apify datasets connect to:

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

API usage notes

Save the quickstart JSON as input.json. This request starts a run asynchronously. Use its returned run ID to check completion and its defaultDatasetId to retrieve results.

MCP and AI agents notes

Use the same input keys as the input table. Each dataset row is a review, not a status record. Check RUN_SUMMARY separately for per-listing outcomes and PENDING_LISTINGS for any continuation URLs before treating a batch as complete.

MCP and AI agents

You can ask your AI assistant to collect data with Airbnb Reviews Scraper and help you work with the results. The scraper returns the data, and your assistant can then summarize it, compare records or prepare notes.

Connect your assistant through the Apify MCP server. MCP gives your assistant a way to find this scraper, run it and read the results. Follow the official setup and sign-in guide for your app.

Easier setup with an Apify plugin

If you use a supported coding assistant, the official Apify plugin can set up the connection for you. It connects your assistant to Apify and includes instructions for common tasks. Follow the guide for your particular app.

Use Apify AI in Console

Prefer to keep everything in Apify? Open Apify AI in Console and ask it to find Fetch Cat's Airbnb Reviews Scraper. You can describe the data you want and ask questions about the results.

Apify AI is currently in beta. It asks for confirmation before starting an Actor, and normal run charges apply.

Choose your assistant

• Claude and Claude Code (Anthropic): Apify setup guide.
• ChatGPT and Codex (OpenAI): Apify setup guides.
• Grok Bot (xAI): Apify plugin guide.
• Gemini CLI (Google): MCP server setup guide. Use the server URL below with the HTTP configuration supported by Gemini CLI.

Connect just this scraper

To keep your setup focused on this scraper, add this server configuration to a compatible MCP client:

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

Sign in to Apify when your client asks. If your client uses a Bearer token instead, follow its setup guide and keep the token in its secure configuration. Configuration formats vary by app, so use the linked guide if your client needs a different format.

Use Apify's general server

Already connected to the general Apify MCP server at https://mcp.apify.com? You can use it to find this scraper without adding another server. Ask your assistant to use Airbnb Reviews Scraper by Fetch Cat, or give it the identifier fetch_cat/airbnb-reviews-scraper.

Your assistant can check the available settings and retrieve the results from the returned run. If the run is still working, it should follow that run rather than start it again. Both connection options use Apify's hosted service.

Example requests

• “Use Fetch Cat’s Airbnb Reviews Scraper to collect at most 5 recent reviews from the public room URL I provide. Show review dates, text and any host response, marking missing ratings.”
• “Collect up to 5 reviews per listing from these two public Airbnb room URLs. Keep listing and review IDs together, then group recurring guest-experience topics in a separate analysis.”
• “Collect a small batch of 10 reviews from this public room URL and keep reviews dated on or after 1 October 2026. Explain that the date filter applies within the fetched batch, and show the run summary if nothing is saved.”

Normal Apify charges apply. Check the live Pricing tab before asking your assistant to run a larger batch.

Pay with x402

If your AI agent has a funded wallet, it can pay for Apify usage through x402. This experimental option lets an agent use Apify without a conventional account.

Apify AGI provides a prepaid API token with a spending cap after payment. Your agent can use that token to run this scraper through the Apify API or an authenticated MCP connection.

Some MCP setups also support paying for each request directly. That is a different payment option, so check the official guide for its availability.

Follow the official guide for wallet setup, supported payment options and current terms. Apify handles the payments. Keep wallet keys and payment tokens in your agent's secure configuration.

Other ways for agents to pay

Apify also supports MPP for prepaid access through AGI and Skyfire for eligible Actors. If your agent already uses one of these, see the agentic payment guide to choose the right setup.

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. Without filters on those fields, the Actor can keep the row and leave unavailable values as null. Rating/date filters exclude rows whose corresponding value is unavailable.

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?

Unavailable or blocked listings may return an HTTP error. That alone does not establish whether a listing is private or deleted. Check RUN_SUMMARY and the run log for the affected URL. Useful rows from other listings are preserved. The current Actor fails if it saves no reviews.

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

• Agoda Reviews Scraper — Collect public Agoda guest-review text, ratings and available traveler metadata.
• Airbnb Listings Scraper — Collect public Airbnb listing metadata and displayed search prices, rather than review text or booking quotes.
• Apple Maps Places Scraper — Collect public Apple Maps place listings and available locations, contacts and rating summaries.
• Trip.com Hotels Scraper — Collect public Trip.com hotel listing-page records and available prices and ratings, rather than room details.
• Agoda Hotels Scraper — Collect public Agoda hotel search cards with displayed prices and guest ratings, rather than room offers or review text.

Support and feedback

For custom additions or integrations, email hello@fetchcat.dev.

Found an error or have a feature request? Open an issue with the run URL, a non-sensitive input example and what you expected.

Need help sharing it? See Apify’s guide to sharing a run when reporting an issue. Sharing a run can give the developer access to its input, logs and results, so use a run that contains no sensitive data. Please leave out API tokens, passwords, cookies, private documents and personal data. Use a public sample URL or a redacted example instead.

Tried this scraper? We'd love to hear how it worked for you. Leave a review to help others choose the right tool and help us improve it. Your feedback means a lot to us.

Made with care for curious people, AI agents and the possibilities in data. ♥