# Agoda Reviews Scraper (`aboo.script/agoda-reviews-scraper`) Actor

\[💰$3 / 1K] ⚡ Fast, cheap Agoda reviews scraper. No login, no API key. Hotel reviews from Agoda and Booking.com plus tour and activity reviews, by hotel name or URL. Rating, text, original language, stay dates, traveler and room type, country, photos, hotel replies, category scores.

- **URL**: https://apify.com/aboo.script/agoda-reviews-scraper.md
- **Developed by:** [Aboo Script](https://apify.com/aboo.script) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 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

## Agoda Reviews Scraper

![Agoda Reviews Scraper](https://i.ibb.co/SwQDktMR/agoda-banner.png)

**Agoda Reviews Scraper** extracts guest reviews of hotels and activities from [Agoda](https://www.agoda.com/) into clean, structured data you can download as JSON, CSV, Excel, or HTML. Paste an Agoda hotel or activity page, or just type a hotel name, and get every review with its rating, title, text, original language, stay dates, traveler type, room type, reviewer country, guest photos, and the hotel's reply. Hotel reviews include both Agoda and Booking.com reviews shown on Agoda, and activity reviews include TripAdvisor, Viator, and other sources. No account or login required.

### Introduction

[Agoda](https://www.agoda.com/) is one of the largest online travel platforms in Asia, with millions of hotels, apartments, and resorts worldwide, plus tours, attractions, and tickets through Agoda Activities. Its verified guest reviews are a rich source of feedback about cleanliness, service, location, and value.

This Agoda reviews scraper collects the same public reviews you see in your browser and turns them into a ready-to-use dataset. You can run it once, schedule it to run daily to catch new reviews, or connect it to your own tools.

### What data can you extract from Agoda reviews?

- ⭐ Rating, rating scale, and rating label (for example "Exceptional")
- 📝 Review title and text, plus the liked and disliked parts of Booking.com reviews
- 🌐 Original title and text in the reviewer's language, with the language code
- 📅 Review date, check-in and check-out dates, and length of stay
- 🧳 Traveler type (couple, family, solo, business, group) and room type
- 👤 Reviewer name, country, and expert reviewer badge
- 📷 Guest photos with captions
- 💬 Hotel or operator reply with responder name and date
- 👍 Helpful and unhelpful votes
- 🏨 Hotel or activity name, ID, overall rating, review count, and page URL
- 📊 Optional hotel rating summary: scores per category (cleanliness, facilities, location, room comfort, service, value for money) with city averages, scores per traveler type and review source, score distribution, and most mentioned topics

### Use Cases

- 📈 **Reputation monitoring**: follow new reviews of your own hotel or tour and react to complaints quickly.
- 🕵️ **Competitor analysis**: compare ratings, strengths, and weaknesses of competing hotels in the same city.
- 🧠 **Sentiment analysis**: feed thousands of reviews into text analysis or AI models to find what guests love and hate.
- 🗂️ **Market research**: understand what different traveler types expect from hotels and activities in a destination.
- 🤖 **AI and automation**: feed clean, structured data into spreadsheets, dashboards, or AI workflows.

### How to scrape Agoda reviews step by step

1. Paste one or more Agoda hotel or activity URLs into **Start URLs**, or type hotel names into **Hotel names**.
2. Set **Maximum reviews per hotel or activity** to how many reviews you want for each URL or hotel name.
3. Optionally choose review sources, sort order, minimum rating, traveler type, languages, or a start date.
4. Click **Start** and wait for the run to finish.
5. Download your data in JSON, CSV, Excel, or HTML from the **Output** tab.

### Input

- **Start URLs**: Agoda pages to scrape. Supported pages: hotel pages (`https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html`), hotel review pages (`.../reviews/...`), search URLs with a selected hotel (`/search?selectedproperty=...`), and activity pages (`https://www.agoda.com/activities/detail?activityId=...`).
- **Hotel names**: hotel names to look up on Agoda. The first matching hotel is scraped for each name.
- **Maximum reviews per hotel or activity**: how many reviews to collect for each start URL or hotel name. Use 0 for all reviews.
- **Hotel review sources**: Agoda reviews, Booking.com reviews, or both.
- **Sort by**: most recent, most helpful, rating high to low, or rating low to high.
- **Minimum rating**: only reviews with at least this rating on Agoda's 1-10 scale. Activity ratings (1-5 stars) are compared at half the value.
- **Only reviews with photos**: only reviews that include guest photos.
- **Reviews from date**: only reviews written on or after this date.
- **Traveler type (hotels)**: only hotel reviews from business travelers, couples, solo travelers, families with young children, families with teens, or groups.
- **Review languages (hotels)**: only hotel reviews written in the selected languages.
- **Include hotel rating summary**: adds one extra item per hotel with its full rating breakdown.

You can use start URLs, hotel names, or both in the same run. The review options apply to every URL and hotel name.

### Input Examples

Scrape reviews of a hotel and an activity:

```json
{
  "startUrls": [
    { "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html" },
    { "url": "https://www.agoda.com/activities/detail?activityId=1130328" }
  ],
  "maxResults": 5
}
```

Search by hotel name:

```json
{
  "searchQueries": ["Atlantis The Palm Dubai"],
  "maxResults": 5
}
```

Recent couple reviews in English with a rating of 8 or more, plus the rating summary:

```json
{
  "startUrls": [{ "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html" }],
  "maxResults": 100,
  "sort": "mostRecent",
  "minRating": 8,
  "travelerType": "couple",
  "languages": ["en"],
  "fromDate": "2026-01-01",
  "includeSummary": true
}
```

### Output

Each review is saved as one item in the dataset. Here is an example of a hotel review:

```json
{
  "url": "https://www.agoda.com/atlantis-the-palm-dubai/reviews/dubai-ae.html",
  "reviewId": "1069424870",
  "reviewType": "hotel",
  "placeId": 159472,
  "placeName": "Atlantis The Palm Dubai",
  "placeRating": 8.8,
  "placeReviewCount": 2154,
  "source": "Agoda",
  "rating": 10,
  "ratingScale": 10,
  "ratingText": "Exceptional",
  "title": "It's so perfect!",
  "text": "Among all the hotels I have visited so far, this one is the cleanest, has excellent amenities, and is very friendly. The food in the club room was perfect...",
  "positives": null,
  "negatives": null,
  "originalTitle": "너무 너무 완벽해요",
  "originalText": "지금까지 가본 호텔 중에서\n제일 청결하고 어매니티도 우수하면서\n친절해요...",
  "language": "ko",
  "reviewDate": "2026-01-22T03:11:00.000Z",
  "checkInDate": "2026-01-19",
  "checkOutDate": "2026-01-20",
  "travelerType": "Family with teens",
  "roomType": "Imperial Club King Room",
  "lengthOfStay": 1,
  "reviewerName": "Hyejin",
  "reviewerCountry": "South Korea",
  "reviewerReviewCount": null,
  "isExpertReviewer": false,
  "helpfulVotes": 0,
  "unhelpfulVotes": 0,
  "photos": [
    {
      "url": "https://pix6.agoda.net/generic/530a919c4302990c27acddd8956d8f4c.jpeg?ce=3",
      "caption": null
    }
  ],
  "responderName": "Atlantis The Palm Dubai",
  "responseText": "Dear Hyejin, We are thrilled to hear that you found our hotel so clean, enjoyed the amenities, and felt well cared for by our team...",
  "responseDate": "2026-01-22T12:55:20.790Z"
}
```

Activity reviews use the same fields, with `reviewType` set to `activity`, a 1-5 `ratingScale`, and the original review site in `source`:

```json
{
  "url": "https://www.agoda.com/activities/detail?activityId=1130328",
  "reviewId": "23301015",
  "reviewType": "activity",
  "placeId": 1130328,
  "placeName": "VIP Desert Safari Dubai with Quad Bike, Camel & BBQ Buffet Dinner",
  "placeRating": 4.9,
  "placeReviewCount": 676,
  "source": "TripAdvisor",
  "rating": 5,
  "ratingScale": 5,
  "title": "Safai with ali",
  "text": "Excellent ali bhai I recommend ali bhai",
  "reviewDate": "2026-09-13T11:04:22.000Z",
  "reviewerName": "657hashimk",
  "helpfulVotes": 0,
  "photos": [
    {
      "url": "https://media-cdn.tripadvisor.com/media/photo-p/34/95/cc/18/caption.jpg",
      "caption": null
    }
  ]
}
```

With **Include hotel rating summary**, each hotel also gets one item with `reviewType` set to `hotelSummary`, holding `sources` (per review source: review count, score, category scores with city averages, traveler type scores, score distribution, and topics) and `facilityMentions`.

You can download the dataset in JSON, CSV, Excel, XML, or HTML, or access it through the Apify API.

### Notes

- Only hotel pages, hotel review pages, search URLs with a selected hotel, and activity pages are supported. Other Agoda pages (city searches, home page) are skipped.
- Agoda shows only reviews with written text. Ratings without text are counted in `placeReviewCount` but are not returned as reviews.
- Booking.com reviews are available for some hotels only, and Agoda shows older Booking.com reviews only.
- Each page of hotel reviews mixes Agoda and Booking.com reviews, so with both sources selected the dataset alternates between them.
- Traveler type and language filters work for hotels only. Activity reviews have no language, traveler type, stay dates, or room type, so these fields are `null`.
- Rating, photo, and date filters for hotels are applied while scraping. With a narrow filter and a large hotel, the run may read many pages to find enough matching reviews.
- Review text is in English (translated by Agoda when needed). The original text is in `originalText` when the review was written in another language.
- A review is saved only once per run, even when the same hotel is added twice.

### Why use the Agoda Reviews Scraper?

- ✅ **No login needed**: works with public data only, so there is no account to manage.
- 🏨 **Hotels and activities in one tool**: hotel reviews from Agoda and Booking.com, and tour reviews from TripAdvisor, Viator, and more.
- 🔎 **Find hotels by name**: no need to look up URLs first.
- 🎯 **Rich filters**: traveler type, language, minimum rating, photos only, and start date.
- 📊 **Rating breakdown**: category scores, city averages, and traveler type scores in one item per hotel.
- 🧹 **Clean data**: numbers are real numbers, dates use one standard format, and text is free of HTML.
- 💸 **Pay for what you need**: set a review limit per hotel and keep every run small and cheap.

### FAQ

#### How many reviews can I scrape?

Set any number in **Maximum reviews per hotel or activity**, or 0 for all reviews. The actor keeps going until it reaches your limit or runs out of reviews.

#### Do I need an Agoda account?

No. The actor only collects publicly available reviews. You do not need to log in or provide any account details.

#### How do I get only new reviews?

Sort by **Most recent** and set **Reviews from date**. The actor stops as soon as it reaches older reviews, so daily or weekly runs stay small.

#### Can I scrape reviews on a schedule?

Yes. Use Apify Schedules to run the actor every day or week and get fresh reviews automatically.

#### Why are some fields empty?

Not every review shows every detail. For example, Booking.com reviews have liked and disliked parts instead of a single text, and many reviews have no photos or hotel reply. Missing values are returned as `null`.

#### Can I request a new feature or filter?

Yes. If you need other inputs, such as scraping every hotel in a city, get in touch and they can be added.

#### Can I get a custom or private version?

Yes. The actor can be customized for your workflow, delivered as a private version, or a new scraper can be built for a different website. Use the contact details below.

### Need to scrape other review platforms?

- [Fragrantica Reviews Scraper](https://apify.com/aboo.script/fragrantica-reviews-scraper): perfume reviews with ratings, votes, and reviewer details from Fragrantica.
- [Ticketmaster Scraper](https://apify.com/aboo.script/ticketmaster-scraper): concerts, sports, and theater events with venues, dates, and ticket prices.

***

**Need help or want a custom solution?**

- 📧 Email: aboo.script@gmail.com
- 🧩 More scrapers: [Apify profile](https://apify.com/aboo.script)

### Image Credit

Image credit: [Agoda](https://www.agoda.com/)

# Actor input Schema

## `startUrls` (type: `array`):

Agoda hotel pages (`/<hotel>/hotel/<city>.html`), hotel review pages (`/<hotel>/reviews/<city>.html`), search URLs with a selected hotel (`/search?selectedproperty=<id>`) or activity pages (`/activities/detail?activityId=<id>`).

## `searchQueries` (type: `array`):

Hotel names to look up on Agoda. The first matching hotel is scraped for each name.

## `maxResults` (type: `integer`):

Maximum number of reviews to scrape per start URL or hotel name. Use 0 for all reviews.

## `reviewSources` (type: `array`):

Hotel reviews to scrape: Agoda guest reviews and/or Booking.com reviews shown on Agoda. Booking.com reviews are available for some hotels only. Activity reviews always include every source (TripAdvisor, Viator, ...).

## `sort` (type: `string`):

Review order. For activities, "Most helpful" uses the site's default order.

## `minRating` (type: `integer`):

Only reviews with at least this rating on Agoda's 1-10 hotel scale. Activity ratings (1-5 stars) are compared at half the value, e.g. 8 keeps activity reviews with 4 or 5 stars.

## `withPhotosOnly` (type: `boolean`):

Only reviews that include guest photos.

## `fromDate` (type: `string`):

Only reviews written on or after this date (YYYY-MM-DD). With "Most recent" order, scraping stops at the first older review.

## `travelerType` (type: `string`):

Only hotel reviews from this type of traveler. Not available for activities.

## `languages` (type: `array`):

Only hotel reviews written in these languages. Leave empty for all languages. Not available for activities.

## `includeSummary` (type: `boolean`):

Adds one extra item per hotel (reviewType "hotelSummary") with scores per category (cleanliness, location, ...), per traveler type and per review source, the score distribution and the most mentioned topics.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html"
    },
    {
      "url": "https://www.agoda.com/activities/detail?activityId=1130328"
    }
  ],
  "searchQueries": [
    "Atlantis The Palm Dubai"
  ],
  "maxResults": 5,
  "reviewSources": [
    "agoda",
    "booking"
  ],
  "sort": "mostRecent",
  "withPhotosOnly": false,
  "includeSummary": false
}
```

# Actor output Schema

## `overview` (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 = {
    "startUrls": [
        {
            "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html"
        },
        {
            "url": "https://www.agoda.com/activities/detail?activityId=1130328"
        }
    ],
    "searchQueries": [
        "Atlantis The Palm Dubai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("aboo.script/agoda-reviews-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 = {
    "startUrls": [
        { "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html" },
        { "url": "https://www.agoda.com/activities/detail?activityId=1130328" },
    ],
    "searchQueries": ["Atlantis The Palm Dubai"],
}

# Run the Actor and wait for it to finish
run = client.actor("aboo.script/agoda-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html"
    },
    {
      "url": "https://www.agoda.com/activities/detail?activityId=1130328"
    }
  ],
  "searchQueries": [
    "Atlantis The Palm Dubai"
  ]
}' |
apify call aboo.script/agoda-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aboo.script/agoda-reviews-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/z82Ub0iDpfvwHgeaY/builds/YljrteXumcb9WlvMz/openapi.json