Airbnb Reviews Scraper

Export the public guest reviews of any Airbnb listing as clean rows, newest first. Each review has the star rating, the full comment, its language, the date, the reviewer's first name and how long the guest stayed. Paste listing IDs or room links and collect the reviews of many listings in one run.

What data can you extract?

Field	Type	Description
review_id	String	Airbnb ID of the review.
rating	Integer or null	Star rating from 1 to 5 the guest gave.
comment	String or null	Full review text in its original language.
language	String or null	Two-letter language code of the review.
created_at	String	ISO 8601 date and time the review was posted, in UTC.
reviewer_first_name	String or null	First name of the guest as shown on Airbnb.
stay_length	String or null	Length of the stay as Airbnb shows it, for example Stayed a few nights.
listing_id	String	Airbnb listing ID the review belongs to.
listing_total_reviews	Integer or null	Total number of reviews of the listing.
input_listing	String	Listing ID or link from your input.
scraped_at	String	UTC date and time when this record was collected.

Use cases

• Hosts can read what guests praise and criticize at competing listings in their area.
• Property managers can track new reviews across all their listings in one sheet.
• Analysts can run sentiment analysis on guest feedback by city or listing type.
• Investors can check guest complaints, such as noise or cleanliness, before they buy in an area.

How to use

1. Add one entry per listing to listings, with a listing ID such as 29754402 or a room link.
2. Set maxResults to the number of reviews you want for each listing.
3. Start the run. Each review gives one dataset row with the listing ID.

{
  "listings": [
    {
      "listing_id": "29754402"
    }
  ],
  "maxResults": 20
}

Input

Field	Type	Required	Description
listings	Array<object>	Yes	Airbnb listings whose reviews you want, one per entry. Paste the listing ID or the room link.
listings[].listing_id	string	Yes per entry	Airbnb listing ID such as 18648717, or the room link such as https://www.airbnb.com/rooms/18648717.
maxResults	integer	No	Maximum reviews to save for each listing, newest first. Airbnb returns 50 reviews per page.
maxPages	integer	No	Maximum pages to request for each batch entry.

Output example

{
  "review_id": "1791203984471029384",
  "rating": 5,
  "comment": "Lovely loft right by the river. Spotless, quiet at night and the host left great tips for dinner in Ribeira. We would book it again.",
  "language": "en",
  "created_at": "2026-10-04T18:22:10Z",
  "reviewer_first_name": "Helena",
  "stay_length": "Stayed a few nights",
  "listing_id": "31840217",
  "listing_total_reviews": 287,
  "input_listing": "29754402",
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$1.00 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set maxPages per batch entry and maxResults for each entry.

FAQ

Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items for each entry and maxPages to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~airbnb-reviews-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

Where do I find the listing ID?

It is the number after /rooms/ in the Airbnb link. You can paste the whole link, or get IDs with the Airbnb Search Scraper.

Are reviews translated?

No. You get the original text, and the language field tells you its language.

Related Scrappa Actors

• Airbnb Search Scraper
• Airbnb Listing Scraper
• Tripadvisor Reviews Scraper
• Booking.com Reviews Scraper
• Google Maps Reviews Scraper