kestrel actors › Guest & customer reviews

Airbnb Reviews Scraper — Guest Reviews, Ratings & Replies

An airbnb reviews scraper that returns every guest review a listing has, as structured rows: airbnb ratings, the review exactly as the guest wrote it, Airbnb's translation, the language it was written in, the reviewer, the date, the stay type and the host's public reply. It is a scrape airbnb reviews tool for hosts and analysts who want airbnb review data in bulk, not one page at a time.

Run Airbnb Reviews Scraper on Apify →

Airbnb reviews scraper pricing: what one row costs

Pay per event, one event per delivered review row. Free: listing rows, status rows, reviews removed by minRating, listings with no reviews, unrecognised places, and failed jobs. A listing is harvested once per run however many inputs point at it.

A listing with 441 reviews is 441 rows if you ask for all of them — maxReviewsPerListing and minRating are there to make that a deliberate choice. Verified runs behind this listing cost $0.0002–$0.0003 each in platform compute. Exact per-row pricing is on this page's pricing tab.

Airbnb reviews scraper input reference

Every field of Airbnb Reviews, straight from the actor's input schema.

Example input

{ "listingIds": ["11562247", "45307024"], "maxReviewsPerListing": 0, "reviewsSort": "lowest_rated", "minRating": 3 }

{ "locationQueries": ["Lisbon, Portugal"], "maxListingsPerQuery": 50, "maxReviewsPerListing": 100 }

Airbnb reviews scraper output fields

Three row types share one dataset: review (one guest review, charged), listing (context for a listing, free) and status (per listing or place, free).

Dataset views in the Apify Console: Overview, Reviews, Listings, Run status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "review", "id": "11562247", "url": "https://www.airbnb.com/rooms/11562247",
  "name": "Charming studio in Baixa", "reviews_total": 441, "locale": "en",
  "review_id": "1752111840493470784", "rating": "5",
  "text": "El departamento es muy lindo. Esta todo muy bien ubicado.",
  "text_localized": "The apartment is very nice. Everything is very well located.",
  "language": "es", "created_at": "2026-08-14T10:53:27Z", "date_label": "1 week ago",
  "reviewer_name": "Luis Armando", "reviewer_id": "313623872",
  "reviewer_location": "Buenos Aires, Argentina", "reviewer_is_superhost": false,
  "host_reply": null, "host_reply_date": null, "highlight": null, "stay_type": null
}

{ "type": "listing", "id": "11562247", "url": "https://www.airbnb.com/rooms/11562247", "name": "Charming studio in Baixa", "reviews_total": 441, "reviews_fetched": 100, "locale": "en" }

Airbnb reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/airbnb-reviews-scraper").call(run_input={
    "listingIds": ["11562247"], "maxReviewsPerListing": 0, "reviewsSort": "lowest_rated", "minRating": 3,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["rating"], row["language"], row["text"][:80])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/airbnb-reviews-scraper').call({
    locationQueries: ['Lisbon, Portugal'], maxListingsPerQuery: 20, maxReviewsPerListing: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((i) => i.type === 'review').length, 'reviews');

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~airbnb-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"listingIds":["11562247"],"maxReviewsPerListing":50}'

The same three calls are runnable files in the examples repository: examples/airbnb-reviews-scraper.py|.js|.sh.

Limits and honest notes

FAQ

Does it need an Airbnb API key, login or cookies?

No. There is no public airbnb review api to hold a key for. This uses the same public GraphQL endpoint airbnb.com's own front-end calls, with no session, and it refreshes Airbnb's query hashes automatically if they change.

Can I download Airbnb reviews as CSV or Excel?

Yes. Every run writes an Apify dataset, which exports to CSV, Excel, JSON or XML from the Console, or over the API with ?format=csv. That is the short path to download airbnb reviews for a listing or a market.

How do I get only Airbnb negative reviews?

Set minRating to the ceiling you care about — 2 for one- and two-star, 3 to include mediocre stays — and reviewsSort to lowest_rated. Reviews above the ceiling are dropped before billing, so a complaints feed on a heavily reviewed listing costs cents.

Can I get reviews for every listing in a city?

Yes, with locationQueries plus maxListingsPerQuery. Airbnb caps a single search at roughly 280 listings, so for a large city, run several searches with different filters (price bands, room types) and let the de-duplication merge them.

Are reviews translated?

Each review carries language (what it was written in) and text (the original). When Airbnb offers a translation into your locale, it arrives as text_localized. So airbnb review translation is available without you calling a translation API, and the source text is never lost.

Does it include host replies?

Yes — host_reply and host_reply_date when the host answered publicly. That is how you find listings where negative reviews were left unaddressed.

How many reviews can one listing return?

All of them. Airbnb pages 50 at a time and the run follows the pages until it has what you asked for; 300 unique reviews from a single listing was verified in testing. reviews_total tells you how many exist, so you can check you got the lot.

Can I scrape Airbnb reviews without an API?

That is exactly what this is — airbnb reviews without api access, no key to apply for and no approval process. You call an Apify actor and read rows back.

What does a run cost for bulk work?

Bulk airbnb reviews are billed per delivered row, so cost scales with data rather than with time. Filtering with minRating or capping with maxReviewsPerListing cuts it directly — those rows are never charged.

Which languages and locales are supported?

Any locale Airbnb supports for translations — en, es, fr, de, pt, it, ja, ko and the rest. Set locale and text_localized follows it. The language field is independent: it tells you what the guest actually wrote in.

How to use Airbnb Reviews Scraper

• How to Scrape Airbnb Prices and Estimate Occupancy — Nightly rates, totals and discounts for exact dates, plus a calendar-based occupancy estimate — and why blocked nights and booked nights look identical.
• How to Monitor Hotel Reputation Across OTAs — A daily feed of new guest reviews from every OTA a hotel sells on, normalised to one scale, at a cost measured in cents per property per month.

Ready-made runs you can open and start

Each one is a saved input on the Apify Store — open it, press Start, and it runs with the fields already filled in. All 163 across the suite.

Related scrapers

• Trip.com Reviews Scraper — Trip.com (Ctrip) hotel guest reviews by URL or hotel id, filtered by language before billing.
• Google Hotels Prices Scraper — hotel prices and every booking site’s rate for a stay.
• Google Flights Scraper — airfare for a route and date, with a cheapest-day sweep.
• Airbnb Scraper — Airbnb prices, availability calendars and occupancy.
• Agoda Reviews Scraper — Agoda hotel reviews with separate positives and negatives.

Run Airbnb Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/airbnb-reviews-scraper