# Fast Agoda Scraper (`knagymate/fast-agoda-scraper`) Actor

Scrape Agoda.com for hotels, prices, ratings, and reviews. This Agoda scraper is a reliable API alternative for travel apps, competitor research, market analysis, and SEO-friendly content generation with structured hotel datasets.

- **URL**: https://apify.com/knagymate/fast-agoda-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, Automation, Developer tools
- **Stats:** 330 total users, 25 monthly users, 87.9% runs succeeded, 5 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Fast Agoda Scraper

Easily extract hotel and accommodation data from **Agoda.com** with this Apify scraper. Collect detailed information about properties, prices, reviews, ratings, and more in a structured format.

Agoda is a leading global travel platform and part of **Booking Holdings** (the parent company of Booking.com, Priceline, and Kayak), making it one of the largest sources for real-time accommodation data worldwide.

This scraper is designed to help you gather **hotel datasets** for travel research, competitor analysis, pricing comparison, or building travel-related applications. Whether you need an **Agoda scraper**, an **Agoda API alternative**, or simply structured **hotel data extraction**, this tool provides clean and reliable results.

***

### Features

- 🔍 Search hotels by destination
- 📅 Filter by check-in and check-out dates
- 🛏️ Specify rooms, adults, and children
- ⭐ Filter results by review score
- 💲 Sort results by price, rating, or recommendations
- 📊 Export clean, structured hotel data (JSON, CSV, Excel, API)

***

### Input Parameters

The scraper uses the following input parameters:

| Field             | Type     | Description                                                                 |
|-------------------|----------|-----------------------------------------------------------------------------|
| `search`          | string   | Destination name (e.g., `"New York"`) **(required)**                        |
| `sortBy`          | string   | Sort order: `recommended`, `price_low_to_high`, `price_high_to_low`, `review_low_to_high`, `review_high_to_low` |
| `checkIn`         | string   | Check-in date in `YYYY-MM-DD` format (UTC timezone)                         |
| `checkOut`        | string   | Check-out date in `YYYY-MM-DD` format (UTC timezone)                        |
| `rooms`           | integer  | Number of rooms (default: `1`)                                              |
| `adults`          | integer  | Number of adults (default: `2`)                                             |
| `children`        | integer  | Number of children (default: `0`)                                           |
| `minReviewScore`  | integer  | Minimum review score (0–10, default: `0`)                                   |
| `maxReviewScore`  | integer  | Maximum review score (0–10, default: `10`)                                  |
| `maxItems`        | integer  | Maximum number of results per destination or URL                            |

📌 Example input:

```json
{
  "search": "Paris",
  "sortBy": "price_low_to_high",
  "checkIn": "2025-12-20",
  "checkOut": "2025-12-25",
  "rooms": 1,
  "adults": 2,
  "children": 0,
  "minReviewScore": 8,
  "maxItems": 50
}
```

***

### Output Dataset

Each dataset entry represents one Agoda property and may contain the following fields:

| Field                    | Type    | Description                                |
|---------------------------|---------|--------------------------------------------|
| `propertyId`              | number  | Unique property ID                         |
| `name`                    | string  | Hotel or property name                     |
| `url`                     | string  | Direct Agoda URL                           |
| `propertyType`            | string  | Type of property (hotel, apartment, etc.)  |
| `image`                   | string  | Main image URL                             |
| `address`                 | object  | Address details (country, city, area)      |
| `location`                | object  | Location coordinates (latitude, longitude) |
| `rating`                  | number  | Star rating                                |
| `reviewCount`             | number  | Number of reviews                          |
| `reviewScore`             | number  | Average review score                       |
| `pricePerRoomPerNight`    | number  | Price per night                            |
| `pricePerBook`            | number  | Total booking price                        |
| `priceCurrency`           | string  | Currency code (e.g., USD, EUR)             |

📌 Example output:

```json
{
  "propertyId": 21727126,
  "name": "Marriott New York JFK Airport",
  "url": "https://agoda.com/marriott-new-york-jfk-airport/hotel/new-york-ny-us.html",
  "propertyType": "Hotel",
  "image": "https://pix8.agoda.net/hotelImages/21727126/-1/fee6a5b6229c6e55d982fdb2491ac147.jpg?ce=0",
  "address": {
    "country": "United States",
    "city": "New York (NY)",
    "area": "John F. Kennedy International Airport"
  },
  "location": {
    "latitude": 40.667572021484375,
    "longitude": -73.79682922363281
  },
  "rating": 3.5,
  "reviewCount": 1342,
  "reviewScore": 8.5,
  "pricePerRoomPerNight": 425.78,
  "pricePerBook": 425.78,
  "priceCurrency": "USD"
}
```

***

### Use Cases

- 🏨 **Travel agencies & apps** – fetch fresh hotel data to power booking platforms
- 💹 **Competitor analysis** – monitor hotel availability and prices across locations
- 📈 **Market research** – analyze hotel ratings, reviews, and pricing trends
- 📊 **SEO & content marketing** – generate high-quality accommodation datasets for travel blogs and websites

This Agoda data scraper can serve as an **Agoda API alternative**, especially for projects needing real-time **hotel datasets**, **reviews data**, and **pricing intelligence**.

***

### How to Run

1. Go to the [Fast Agoda Scraper on Apify](https://apify.com/knagymate/fast-agoda-scraper)
2. Click **Try Actor**
3. Provide your input (destination, dates, filters)
4. Run the scraper
5. Download results in **JSON, CSV, Excel, or via API**

***

### Related Scrapers

- [Fast Agoda Reviews Scraper](https://apify.com/knagymate/fast-agoda-reviews-scraper) – scrape Agoda user reviews quickly and efficiently

***

### Legal Notice

**Is it legal to scrape listings on Agoda.com?**\
Yes. However, you should note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

We also recommend that you read our blog post: [is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)

***

### FAQ

#### ❓ Can I use this Agoda scraper as an alternative to the Agoda API?

Yes. This tool provides structured Agoda data (hotels, reviews, ratings, prices) without needing direct API access. It's often used as an **Agoda API alternative** by developers and analysts.

#### ❓ What type of Agoda data can I extract?

You can scrape hotel names, property types, images, locations, ratings, review counts, review scores, and pricing details. If you also need **Agoda reviews data**, you can use the [Fast Agoda Reviews Scraper](https://apify.com/knagymate/fast-agoda-reviews-scraper).

#### ❓ What are common use cases for Agoda data extraction?

- Market research and competitor analysis
- Price monitoring and travel apps
- Building SEO-optimized travel content
- Collecting accommodation datasets for data-driven projects

#### ❓ How often is Agoda data updated?

Agoda updates hotel prices, availability, and reviews frequently. Running the scraper regularly ensures you always have the most **up-to-date Agoda datasets**.

# Actor input Schema

## `search` (type: `string`):

Insert the destination name here

## `sortBy` (type: `string`):

Sort the search results by the specified criteria.

## `checkIn` (type: `string`):

Select the check-in date in format YYYY-MM-DD.
Input the date in the UTC timezone! Agoda uses the UTC timezone for all check-in and check-out dates, so we do the same.

## `checkOut` (type: `string`):

Select the check-out date in format YYYY-MM-DD.
Input the date in the UTC timezone! Agoda uses the UTC timezone for all check-in and check-out dates, so we do the same.

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

Default value of this property is 1

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

Default value of this property is 2

## `children` (type: `integer`):

Default value of this property is 0

## `minReviewScore` (type: `integer`):

Filter the search results by the minimum review score.

## `maxReviewScore` (type: `integer`):

Filter the search results by the maximum review score.

## `maxItems` (type: `integer`):

Limit the number of places to be scraped

## Actor input object example

```json
{
  "search": "new york",
  "sortBy": "recommended",
  "rooms": 1,
  "adults": 2,
  "children": 0,
  "minReviewScore": 0,
  "maxReviewScore": 10,
  "maxItems": 100
}
```

# Actor output Schema

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

No description

# 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 = {
    "checkIn": "",
    "checkOut": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/fast-agoda-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 = {
    "checkIn": "",
    "checkOut": "",
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/fast-agoda-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 '{
  "checkIn": "",
  "checkOut": ""
}' |
apify call knagymate/fast-agoda-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,knagymate/fast-agoda-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/9BagL0jekFXytTtoU/builds/nQDKHTzYDbK2Kem9w/openapi.json