Agoda Hotel Rates Scraper

Agoda Hotel Rates Scraper returns what Agoda sells for a hotel on a given stay: every room type and rate plan with its price, whether taxes are included, and sold-out status, in any of Agoda's 23 currencies. Agoda converts a single underlying rate, so prices are comparable across currencies. Use it for Asia-Pacific rate shopping, parity monitoring against Booking.com and Expedia, or pricing research.

Powered by the ScraperCompany API: requests, proxies, retries and anti-bot handling run on ScraperCompany's servers, so you don't need your own proxies or API key. Start a run, get structured JSON.

What can this scraper do?

• All room types and rate plans for a stay, with price per night and tax basis.
• 23 currencies (USD, EUR, GBP, JPY, THB, SGD, AUD, ...), comparable across currencies.
• Any number of nights (1-30), adults and rooms.
• Find property id mode: resolve a hotel name and city to its Agoda id with a confidence score.
• Batch as many hotels as you like; one request and one dataset item per hotel.

Modes

Mode	What it returns	Price per request
rates	Every room type and rate plan for one stay, with price, tax basis and availability	$0.012
search	Agoda property id for a hotel name and city	$0.002

What data can you extract?

Field	Description
property.name / property_id	Hotel name and Agoda id
property.price_per_night	Cheapest nightly price for the stay
property.rooms[].name	Room type
property.rooms[].offers	Rate plans for the room: price, meal plan, cancellation, occupancy
property.tax_inclusive / currency	Price basis
property.sold_out	Whether nothing is bookable for the stay
meta.room_types / meta.offers	How many rooms and rate plans were returned
matches[] / recommended_match	Candidates with property id and confidence (Find property id mode)

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to use Agoda Hotel Rates Scraper

1. Open Agoda Hotel Rates Scraper in Apify Console and go to the Input tab.
2. Enter Agoda property ids (the digits after -h in an Agoda hotel URL) and a check-in date. Only know the name? Switch Mode to Find property id.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "rates",
  "propertyIds": [
    "8795952"
  ],
  "check_in": "30 days",
  "currency": "USD",
  "hotelNames": [
    "Moxy Boston Downtown"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "mode": "rates",
  "endpoint": "/v1/ota/agoda",
  "input": {
    "property_id": "8795952",
    "check_in": "2026-10-31",
    "currency": "USD"
  },
  "meta": {
    "comparable_across_markets": true,
    "elapsed_s": 0.361,
    "nights": 1,
    "offers": 9,
    "room_types": 5,
    "source": "agoda",
    "wire_bytes": 117723
  },
  "property": {
    "currency": "USD",
    "name": "Moxy Boston Downtown",
    "price_per_night": 527,
    "property_id": "8795952",
    "rooms": [
      {
        "name": "Center Stage, Guest room, 1 Queen, City view",
        "offers": [
          {
            "currency": "USD",
            "currency_code": "USD",
            "discount": "-29%",
            "free_cancellation": false,
            "price": 527,
            "price_text": "USD 527",
            "tax_inclusive": true
          }
        ]
      }
    ],
    "sold_out": false,
    "tax_inclusive": true
  },
  "search_parameters": {
    "adults": 2,
    "check_in_date": "2026-09-14",
    "check_out_date": "2026-09-15",
    "currency": "USD",
    "engine": "agoda_property",
    "property_id": "8795952",
    "rooms": 1
  },
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
rates-request	One property priced for one stay: every room type and rate plan.	$0.012	$12.00
search-request	One hotel name looked up on Agoda (returns its property id).	$0.002	$2.00

For example, 1,000 requests in the default mode cost $12.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or a ScraperCompany API key?

No. Proxy rotation, retries and anti-bot handling run on the ScraperCompany side, and the Actor is already connected to the API. You only pay the per-event prices above.

Where do I find the Agoda property id?

In the hotel URL: agoda.com/moxy-boston-downtown/hotel/boston-ma-us.html?hotelId=8795952 or ...-h8795952.html. Or run Find property id mode with the hotel name and city.

Why did my old runs fail with "Input must contain mode field"?

Earlier versions required a mode. Now every field has a working default, so a run with an empty input prices the example hotel.

Is it legal to scrape this data?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/agoda-hotel-rates-scraper').call({
    "mode": "rates",
    "propertyIds": [
        "8795952"
    ],
    "check_in": "30 days"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/agoda-hotel-rates-scraper").call(run_input={
    "mode": "rates",
    "propertyIds": ["8795952"],
    "check_in": "30 days",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Booking.com Hotel Rates Scraper
• Hotel Price Comparison
• Expedia Hotel Rates Scraper

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab or contact us at scrapercompany.com. Include the request_id from the dataset item so we can trace the request.