kestrel actors › Guest & customer reviews

Agoda Reviews Scraper — Hotel Guest Reviews & Ratings

An agoda reviews scraper that returns every guest review a property has, as structured rows: agoda ratings on both the 0–10 and 5-star scales, the rating word, title, review text, separate positives and negatives, stay dates and length, room type, reviewer name and country, and the hotel's public reply. It turns agoda hotel reviews into hotel review data you can query — a hotel review scraper built for bulk work rather than one page at a time.

Run Agoda Reviews Scraper on Apify →

Agoda reviews scraper pricing: what one row costs

Pay per event, one event per delivered review row. Free: hotel rows, status rows, every review removed by maxRating or requireText, properties with no reviews, and failed properties. A property is harvested once per run whether you give its name, its URL, its id, or all three.

A mid-size hotel is a few hundred reviews; a busy hostel can be over a thousand — 1,457 from a single property was verified in testing. maxReviewsPerHotel and the two filters make that a deliberate choice. Verified runs behind this listing cost $0.0002–$0.0026 each in platform compute. Exact per-row pricing is on this page's pricing tab.

Agoda reviews scraper input reference

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

Example input

{ "hotelNames": ["Park Hyatt Tokyo"], "maxReviewsPerHotel": 0, "reviewsSort": "lowest_rated", "maxRating": 5, "requireText": true }

{ "startUrls": ["https://www.agoda.com/the-central-house-lisbon-baixa/hotel/lisbon-pt.html"], "maxReviewsPerHotel": 0 }

Agoda reviews scraper output fields

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

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

Example row from a real run

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

{
  "type": "review", "hotel_id": "63820",
  "hotel_name": "Tivoli Avenida Liberdade", "url": null, "locale": "en-us",
  "review_id": "1059514024", "rating": 10.0, "rating_5": 5.0, "rating_text": "Exceptional",
  "title": "Nice Hotel", "text": "Beautiful hotel in the center!", "positives": null, "negatives": null,
  "original_title": null, "original_text": null, "language": "en", "translated_to": "en",
  "review_date": "2025-12-15T10:54:00+07:00", "review_date_text": "December 15, 2025",
  "check_in": "2025-12-08T00:00:00+07:00", "check_out": "2025-12-14T00:00:00+07:00",
  "stay_month": "December 2025", "stay_length": null, "room_type": null, "group_type": null,
  "reviewer_name": "VARDAN", "reviewer_country": "Mozambique", "reviewer_type": null,
  "helpful_votes": 0, "unhelpful_votes": 0, "images": null,
  "source": "Agoda", "provider_id": "332",
  "responder": "Tivoli Avenida Liberdade", "response": null, "response_date": null
}

{ "type": "hotel", "hotel_id": "63820", "hotel_name": "Tivoli Avenida Liberdade", "url": null, "reviews_fetched": 108, "locale": "en-us" }

Agoda reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/agoda-reviews-scraper").call(run_input={
    "hotelNames": ["Park Hyatt Tokyo"], "maxReviewsPerHotel": 0,
    "reviewsSort": "lowest_rated", "maxRating": 5, "requireText": True,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["rating"], row["reviewer_country"], row["text"][:80])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/agoda-reviews-scraper').call({
    hotelIds: ['63820'], maxReviewsPerHotel: 200, reviewsSort: 'most_recent',
});
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~agoda-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"hotelIds":["63820"],"maxReviewsPerHotel":100}'

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

Limits and honest notes

FAQ

Does it need an Agoda API key or login?

No. There is no public agoda api for reviews to hold a key for. This calls the same endpoint agoda.com's own review widget uses, with no session and no account.

Can I download Agoda reviews as CSV or Excel?

Yes. Every run writes an Apify dataset, exportable to CSV, Excel, JSON or XML from the Console or over the API with ?format=csv. That is the quick path to download agoda reviews for one property or a whole competitor set.

How do I get only Agoda negative reviews?

Set maxRating to your ceiling — 5 on Agoda's 0–10 scale is a poor stay — and reviewsSort to lowest_rated. Add requireText: true so you only pay for reviews with actual words. Everything above the ceiling is dropped before billing.

Do I need the hotel id, or can I use the name?

Either. hotelNames resolves a plain name through Agoda's own autocomplete: Park Hyatt Tokyo became id 910 in testing, and Tivoli Avenida Liberdade became 63820. Use startUrls if you already have the page, or hotelIds if a previous run gave you the number.

How many reviews can one property return?

All of them. Agoda pages about 200 at a time and the run follows the pages, de-duplicating as it goes — 1,457 unique reviews from a single property was verified. maxReviewsPerHotel bounds it when you want a cheaper run.

Are reviews translated, and which languages come back?

Reviews arrive in the language they were written in, tagged in language, and translated_to records what Agoda showed them as. original_text holds the untranslated body when Agoda translated one. Multi language hotel reviews are the normal case here, not an edge case — one property returned 18 languages.

Does it include the hotel's replies?

Yes — responder, response and response_date when the property answered publicly. responder is also how the run recovers the hotel's name, because Agoda ships its property pages with an empty <title>.

Can I use it as a general hotel review aggregator?

For Agoda's corpus, yes — and note that Agoda itself aggregates some partner reviews, which is why each row carries source and provider_id. For a true hotel review aggregator across several OTAs you would run this alongside scrapers for the other sites and join on the property.

Can I scrape Agoda reviews without an API?

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

What does bulk work cost?

Bulk hotel reviews are billed per delivered row, so cost scales with data, not time. The two filters and the per-hotel cap cut it directly, because filtered rows are never charged.

How to use Agoda Reviews Scraper

• 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.

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Run Agoda 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/agoda-reviews-scraper