# Agoda Hotel Rates Scraper (`scrapercompany/agoda-hotel-rates-scraper`) Actor

Scrape Agoda hotel prices: every room type and rate plan for a stay in any of 23 currencies, or find a hotel's Agoda id by name. Batch many hotels, export JSON/CSV/Excel. Works with the default input; no proxies or API key needed.

- **URL**: https://apify.com/scrapercompany/agoda-hotel-rates-scraper.md
- **Developed by:** [ScraperCompany](https://apify.com/scrapercompany) (community)
- **Categories:** Travel, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $12.00 / 1,000 hotel rates requests

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 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](https://scrapercompany.com): 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.

```json
{
  "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):

```json
{
  "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](https://docs.apify.com/api/v2). With the JavaScript client (`npm install apify-client`):

```javascript
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`):

```python
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](https://apify.com/scrapercompany/booking-hotel-rates-scraper)
- [Hotel Price Comparison](https://apify.com/scrapercompany/hotel-price-comparison)
- [Expedia Hotel Rates Scraper](https://apify.com/scrapercompany/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](https://scrapercompany.com). Include the `request_id` from the dataset item so we can trace the request.

# Changelog

This Actor's version history is a separate document: https://apify.com/scrapercompany/agoda-hotel-rates-scraper/changelog.md

# Actor input Schema

## `mode` (type: `string`):

<b>Rooms and rates</b>: price every room and rate plan for a stay. <b>Find property id</b>: look up the Agoda id for a hotel name.

## `propertyIds` (type: `array`):

Numeric Agoda hotel ids, one request each: the digits in <code>agoda.com/.../hotel/...-h8795952.html</code> or the <code>hotelId</code> URL parameter. Use Find property id mode if you only know the name.

## `check_in` (type: `string`):

Check-in date: exact (<code>2026-12-01</code>) or relative (<code>30 days</code> from today).

## `nights` (type: `integer`):

Length of stay (1-30).

## `adults` (type: `integer`):

Adults per room (1-8).

## `rooms` (type: `integer`):

Rooms requested (1-8).

## `currency` (type: `string`):

One of the 23 currencies Agoda supports. Agoda converts one underlying rate, so prices are comparable across currencies.

## `hotelNames` (type: `array`):

Hotel names to look up, one request each. Used only by the Find property id mode.

## `city` (type: `string`):

City of the hotels you are looking up. Strongly recommended: it ranks same-brand hotels in other cities lower.

## `origin` (type: `string`):

Two-letter user country sent to Agoda (not the hotel's country).

## `limit` (type: `integer`):

Maximum candidates returned per name, best match first.

## `customRequests` (type: `array`):

Optional list of JSON objects, one request each, using the API field names shown above. Each object is merged over the options above, so you only need to give what differs. Add <code>"mode": "search"</code> to look up a name instead. Example: <code>{"property_id":"8795952","check_in":"2026-12-20","nights":2,"currency":"EUR"}</code>

## `includeErrors` (type: `boolean`):

When on, a request that fails (for example an unknown property id) is saved as a dataset item with an <code>error</code> message so you can see what went wrong. Failed requests are never charged.

## `maxConcurrency` (type: `integer`):

How many API requests run at the same time.

## `maxRetries` (type: `integer`):

Retries for rate limits (HTTP 429), temporary server errors (5xx) and network errors, with exponential backoff. Validation errors are never retried.

## Actor input object example

```json
{
  "mode": "rates",
  "propertyIds": [
    "8795952"
  ],
  "check_in": "30 days",
  "nights": 1,
  "adults": 2,
  "rooms": 1,
  "currency": "USD",
  "hotelNames": [
    "Moxy Boston Downtown"
  ],
  "origin": "US",
  "limit": 5,
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}
```

# Actor output Schema

## `results` (type: `string`):

One dataset item per request.

## `summary` (type: `string`):

Counts of succeeded, failed, skipped and charged requests.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "propertyIds": [
        "8795952"
    ],
    "check_in": "30 days",
    "hotelNames": [
        "Moxy Boston Downtown"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapercompany/agoda-hotel-rates-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "propertyIds": ["8795952"],
    "check_in": "30 days",
    "hotelNames": ["Moxy Boston Downtown"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapercompany/agoda-hotel-rates-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "propertyIds": [
    "8795952"
  ],
  "check_in": "30 days",
  "hotelNames": [
    "Moxy Boston Downtown"
  ]
}' |
apify call scrapercompany/agoda-hotel-rates-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapercompany/agoda-hotel-rates-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/hE6lGZluEW7aE1ZBs/builds/C9FEeV0kK7nfa4KYd/openapi.json