# Agoda Reviews Scraper (`carabain-digital/agoda-reviews`) Actor

Scrape all reviews of any hotel on Agoda: rating (1-5), text, date, reviewer and reply. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/carabain-digital/agoda-reviews.md
- **Developed by:** [Carabain Digital](https://apify.com/carabain-digital) (community)
- **Categories:** Travel, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.40 / 1,000 reviews

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

#### What is Agoda Reviews Scraper?

**Agoda Reviews Scraper** extracts **all reviews of any hotel on [Agoda](https://www.agoda.com)**: star rating, review text, date, reviewer name and the hotel's reply. Paste a Agoda URL, click **Start**, and download the reviews as JSON, CSV, Excel, XML or HTML.

Agoda is one of Asia's largest online travel agencies, with millions of verified guest reviews of hotels and apartments worldwide. With this scraper you can:

- ⭐ **Scrape every review** of a hotel, or only the newest ones
- 💬 **Get the review text and the hotel's reply**
- 📅 **Fetch only new reviews** since a given date, ideal for daily monitoring
- 🛡️ **Get past blocks**: a US residential proxy is included in the price
- 🔌 **Connect the data** to Google Sheets, Slack, Make, Zapier or your own app via the API

#### What data can I extract from Agoda?

<table>
<tr><td>⭐ Star rating (1-5)</td><td>💬 Review text</td></tr>
<tr><td>👤 Reviewer name</td><td>📅 Publication date</td></tr>
<tr><td>↩️ Reply</td><td>🆔 Stable review ID</td></tr>
<tr><td>📝 Review title (if any)</td><td>🔗 Source URL</td></tr>
</table>

#### Why scrape Agoda reviews?

- 🏨 **Hotels and chains**: monitor what guests say about your properties
- 📊 **Travel market research**: compare hotels in a city or region
- 🔍 **Competitor research**: see why guests prefer a competing hotel
- 🤖 **Sentiment analysis and AI**: feed real customer feedback into your own analysis or LLM pipeline.

#### How do I use Agoda Reviews Scraper?

1. [Create a free Apify account](https://console.apify.com/sign-up).
2. Open the hotel on Agoda and copy the URL of its hotel page, for example `https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html`.
3. Paste it into the **Agoda hotel URL** field.
4. Optionally set **Max reviews**, or **Only reviews after** to fetch only reviews since a given date.
5. Click **Start** and wait for the run to finish.
6. Download your data from the **Output** tab in JSON, CSV, Excel, XML or HTML.

#### How much does scraping Agoda cost?

You **pay per review** that ends up in your dataset: **$2.00 per 1,000 reviews**. No subscription, no rental fee. The monthly credits in Apify's free plan cover a couple of thousand reviews.

💡 **Tip:** for monitoring, schedule a daily run with **Only reviews after** set to the date of your last run. You only pay for new reviews.

You can set a maximum cost per run in the run options; the scraper stops when it is reached.

#### ⬇️ Input

The only required field is the hotel URL. See the **Input** tab for all options.

| Field | Description |
|---|---|
| **Agoda hotel URL** (`url`) | The hotel page on Agoda |
| **Max reviews** (`limit`) | Stop after this many reviews, newest first. Empty = all reviews |
| **Only reviews after** (`cutoff_date`) | Skip reviews published before this date |
| **Proxy** (`proxyConfiguration`) | US residential proxy, on by default and included in the price. Keep it on: Agoda blocks data-center IPs |

```json
{
    "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
    "limit": 100,
    "cutoff_date": "2026-01-01"
}
```

#### ⬆️ Output sample

Each review is one item in the dataset. View it as a table in the **Output** tab or download it in JSON, CSV, Excel, XML or HTML.

##### 📘 Scraped Agoda review sample (illustrative)

```json
{
    "id": "123456789",
    "author": "Jessica M.",
    "rating": 5,
    "title": null,
    "text": "Great experience from start to finish, would recommend!",
    "published_at": "2026-09-14T00:00:00+00:00",
    "reply": "Thank you so much, Jessica!",
    "replied_at": null,
    "source_url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html"
}
```

| Field | Description |
|---|---|
| `id` | Agoda's review ID; stable across runs, so you can deduplicate on it |
| `rating` | Star rating (1-5), or `null` if the review has no score |
| `title` | Review title, or `null` when Agoda has none |
| `text` | Review text |
| `published_at` | Publication date in ISO 8601 (UTC) |
| `reply` | The hotel's public reply, or `null` |
| `replied_at` | Reply date, or `null` when Agoda doesn't publish it |
| `source_url` | The Agoda URL you scraped |

All our review scrapers use this same format, so you can combine datasets from different sites directly. See for example our [Kiyoh Reviews Scraper](https://apify.com/carabain-digital/kiyoh-reviews).

#### 🔌 Integrations

Connect Agoda Reviews Scraper to almost any cloud service or web app with [Apify integrations](https://apify.com/integrations): Make, Zapier, Slack, Google Sheets, Google Drive, Airbyte, GitHub and more. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action when a run finishes, for example to post new reviews to Slack.

#### 💻 Using Agoda Reviews Scraper with the Apify API

The [Apify API](https://docs.apify.com/api/v2) lets you start runs, schedule them and fetch results from your own code. Use the [Python](https://docs.apify.com/api/client/python) or [JavaScript](https://docs.apify.com/api/client/js) client, or call the scraper from AI agents through the [Apify MCP server](https://mcp.apify.com). The **API** tab has ready-to-use code.

#### ❓ FAQ

##### Can I scrape multiple hotels at once?

Run the scraper once per hotel. To monitor several, create a [task](https://docs.apify.com/platform/actors/running/tasks) per hotel and [schedule](https://docs.apify.com/platform/schedules) them, or start runs from the API.

##### Do I need a Agoda account?

No. The scraper only reads publicly visible reviews.

##### Do I need proxies to scrape Agoda?

Yes, but you don't have to set anything up: a US residential proxy is on by default and its cost is included in the price per review. If a request still gets blocked, the scraper retries once on a fresh IP automatically.

##### Anything special about Agoda data?

Only Agoda's own guest reviews are returned. Reviews Agoda syndicates from other booking sites are skipped, so you get no duplicates when you also scrape those sites.

##### My run failed. What now?

Check the status message of the run. "Invalid input" or "not found" means the URL doesn't point to a Agoda hotel page: open it in your browser and copy it again. "Blocked" means Agoda refused the request; run it again, and keep the proxy on.

##### Is it legal to scrape Agoda reviews?

This scraper only collects publicly visible reviews. Reviews can contain personal data, such as reviewer names, which is protected by the GDPR in the EU and by other regulations elsewhere. Only scrape and store personal data when you have a legitimate reason, and consult your lawyer if you are unsure. Read more in Apify's post on [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

#### Your feedback

Found a bug or missing a field? Open an issue in the **Issues** tab and we'll look into it.

# Actor input Schema

## `url` (type: `string`):

The hotel page, e.g. https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html

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

Stop after this many reviews (newest first). Leave empty for all.

## `cutoff_date` (type: `string`):

Skip reviews published before this date (YYYY-MM-DD). Useful for incremental runs.

## `proxyConfiguration` (type: `object`):

A US residential proxy is on by default because Agoda blocks data-center IPs. Its cost is included in the price.

## Actor input object example

```json
{
  "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `reviews` (type: `string`):

All scraped reviews, one item per review.

# 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 = {
    "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
    "limit": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("carabain-digital/agoda-reviews").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 = {
    "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
    "limit": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("carabain-digital/agoda-reviews").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 '{
  "url": "https://www.agoda.com/marina-bay-sands/hotel/singapore-sg.html",
  "limit": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call carabain-digital/agoda-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,carabain-digital/agoda-reviews"
        }
    }
}
```

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/ncJpEcpuBMwhgB3Ef/builds/AJOvxb5gZCsTPKMIm/openapi.json
