kestrel actors › Hotel & flight prices

Agoda Prices Scraper — Hotel Rates & Availability by Date

Agoda prices scraper for real stays: give a destination or a list of hotels, a check-in date, nights and guests, and get every property's cheapest rate as clean rows — agoda hotel prices per night and for the whole stay, with and without taxes, the cancellation term, rooms left, stars, guest score and coordinates. It reads the same search answer agoda.com's own results page reads, so the numbers match what a traveller sees — a hotel rate scraper that returns Agoda's structured data rather than a rendered page. Use it as an agoda scraper for market research, as a hotel price comparison feed next to the Google Hotels and Booking.com actors below, or as the agoda api you were looking for: no key, no browser, pay per priced hotel.

Run Agoda Prices Scraper on Apify →

Agoda prices scraper pricing: what one row costs

Pay per event, only for what is delivered:

Sold-out properties, filtered hotels and status rows are free. Every property is billed once per run however many inputs reach it. Examples at list price: 100 hotels in a city, $0.40; a comp set of 20 named hotels every morning, $0.08 a day; the same 20 with a 30-day calendar, roughly $0.08 + 20 × (priced dates × $0.002). Runs use Apify Proxy datacenter sessions, which are included in your Apify plan; the endpoint tolerates about one request per second per IP, and a 45-property page is under 100 KB.

Agoda prices scraper input reference

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

Example input

{
  "locationQueries": ["Lisbon", "Bangkok"],
  "checkIn": "30 days",
  "nights": 2,
  "adults": 2,
  "currency": "USD",
  "sortBy": "price_low",
  "maxHotelsPerQuery": 100
}

{
  "hotelIds": ["6988894", "63820"],
  "hotelNames": ["Tivoli Avenida Liberdade Lisbon"],
  "checkIn": "2026-10-10",
  "nights": 3,
  "adults": 2,
  "rooms": 1,
  "currency": "EUR",
  "calendarDays": 30
}

Agoda prices scraper output fields

Three row types share one dataset: hotel (one property with its cheapest rate for the stay, charged when priced), calendar (one check-in date of a property's price calendar, charged when priced) and status (per destination or property, free).

Dataset views in the Apify Console: Hotels, Cheapest first, Price calendar, Status.

Example row from a real run

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

{
  "type": "hotel",
  "mode": "destination",
  "query": "Lisbon",
  "locale": "en-us",
  "hotel_id": "13505436",
  "hotel_name": "Help Yourself Hostels - Restelo",
  "url": "https://www.agoda.com/help-yourself-hostels-restelo/hotel/all/lisbon-pt.html",
  "property_type": "Hotel",
  "stars": 2.0,
  "review_score": 6.8,
  "review_count": 120,
  "agoda_score": 6.5,
  "agoda_review_count": 31,
  "city": "Lisbon",
  "city_id": 16364,
  "area": "Belem",
  "country": "Portugal",
  "country_code": "PT",
  "latitude": 38.6997,
  "longitude": -9.2079,
  "check_in": "2026-09-28",
  "check_out": "2026-09-29",
  "nights": 1,
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "currency": "USD",
  "price_nightly": 44.71,
  "price_nightly_with_taxes": 60.67,
  "price_total": 44.71,
  "price_total_with_taxes": 60.67,
  "crossed_out_price": null,
  "available_rooms": 1,
  "cancellation": "FreeCancellation",
  "free_cancellation": true,
  "free_cancellation_until": null,
  "breakfast_included": false,
  "benefit_ids": [6, 95, 230, 231],
  "supplier_id": 332,
  "payment_model": "MerchantCommission",
  "sold_out": false,
  "rank": 46,
  "sort": "price_low",
  "price_source": "search",
  "fetched_at": "2026-08-29T11:20:04+00:00"
}

Agoda prices scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/agoda-prices-scraper").call(run_input={
    "locationQueries": ["Lisbon"],
    "checkIn": "30 days", "nights": 2, "adults": 2, "currency": "EUR",
    "sortBy": "price_low", "maxHotelsPerQuery": 50, "freeCancellationOnly": True,
})
rows = [r for r in client.dataset(run["defaultDatasetId"]).iterate_items() if r["type"] == "hotel"]
for r in rows[:5]:
    print(r["rank"], r["hotel_name"], r["price_nightly"], r["currency"], r["cancellation"])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/agoda-prices-scraper').call({
    hotelIds: ['6988894', '63820'], checkIn: '2026-10-10', nights: 3, adults: 2, currency: 'USD', calendarDays: 30,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const cheapest = items.filter(r => r.type === 'calendar' && r.cheapest_in_window);
console.log(cheapest.map(r => [r.hotel_name, r.check_in, r.price_nightly]));

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~agoda-prices-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>&timeout=300" \
  -H "Content-Type: application/json" \
  -d '{"locationQueries": ["Bangkok"], "checkIn": "45 days", "nights": 1, "adults": 2, "currency": "THB", "maxHotelsPerQuery": 45, "minReviewScore": 8}'

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

Limits and honest notes

FAQ

Are these the prices a guest sees on Agoda?

Yes — for the same stay, currency and occupancy. price_nightly is Agoda's default display price (per room per night, before taxes and fees); price_total_with_taxes is what the booking would cost. Agoda personalises some discounts for logged-in members and app users; this actor prices as a logged-out visitor, the same view Google and metasearch engines get.

How many hotels can one run collect?

As many as Agoda lists for the stay: a large city returns one to three thousand properties at 45 per page. maxHotelsPerQuery caps that per destination (its default is 45, one page) and status.pages tells you how many pages were read. Runs are paced at about one request per second per session; four sessions read roughly 180 properties a second of wall time.

Can I get room-level rates?

The row carries the cheapest rate Agoda would show on the property card — one room type, one supplier — with its cancellation term, benefits and rooms left. Agoda room prices by room type (the full grid) are not part of this actor; ask on the Issues tab if you need them and say how many properties you price a day.

Does it work for apartments, hostels and resorts?

Yes: property_type tells them apart, and stars are empty for unrated properties. Filters like minStars drop unrated ones by design; use minReviewScore to rank hostels and apartments instead.

Why is a property sold out in one run and priced in the next?

Availability is per stay. Change the dates, the number of nights or the occupancy and Agoda's answer changes with it. The Tivoli Avenida Liberdade, for example, has no rate for one specific night but a price calendar full of other dates — that is exactly what calendarDays is for.

Which currencies and locales are supported?

Any ISO currency Agoda quotes in (USD, EUR, GBP, THB, JPY, AUD, SGD…), converted at Agoda's own rate. locale changes names and area labels (de-de, ja-jp, th-th…), not the prices.

What happens when Agoda throttles the run?

The session's IP is rotated and the request retried with back-off; the input is only reported as an error when every attempt was refused. Nothing is billed for an errored input, and the run only fails outright when every input failed.

Is scraping Agoda prices legal?

The actor reads public, logged-out price listings — the same data Agoda publishes to search engines and metasearch partners — and stores no personal data. Using that data for price comparison, market research and revenue management is a normal business use; check Agoda's terms and your local law before republishing prices commercially, respect the site with sensible pacing, and do not use the data to interfere with Agoda's service.

Related scrapers

• Agoda Reviews Scraper — every guest review of an Agoda property with separate positives and negatives.
• Google Hotels Prices Scraper — hotel prices and every booking site's rate for a stay.
• Hotel Rate Parity Checker — one row per property with every source side by side and the parity math done.
• Hotel Price Tracker — the lowest Google Hotels rate per property and date over a window, for daily schedules.
• Booking.com Reviews Scraper — Booking.com guest reviews by URL, name or id.

Run Agoda Prices 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-prices-scraper