# TripAdvisor Reviews Scraper — Ratings, Text & Dates (`hichemdev/tripadvisor-reviews-scraper`) Actor

Scrape TripAdvisor reviews for any hotel, restaurant or attraction: star rating, review title, full text and date. No login.

- **URL**: https://apify.com/hichemdev/tripadvisor-reviews-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Travel, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## TripAdvisor Reviews Scraper — Ratings, Text & Dates

Scrape **TripAdvisor reviews** for any **hotel, restaurant or attraction** — **star rating, review title, full text and date**. No login, no API key.

Pairs with the **TripAdvisor Scraper** (which gets the places) to build a complete reviews dataset.

### What you can do with it

- ⭐ **Reputation monitoring** — track what guests say about your property over time
- 🔍 **Competitor analysis** — mine rivals' reviews for strengths and complaints
- 🗣️ **Voice-of-customer / sentiment analysis** at scale
- 🤖 **Feed an LLM** to summarise themes across thousands of reviews

### Input

| Field | Type | Description |
|-------|------|-------------|
| `placeUrls` | array | TripAdvisor place URLs (Hotel\_Review / Restaurant\_Review / Attraction\_Review). |
| `maxReviews` | integer | Max reviews per place. |
| `proxyConfiguration` | object | **Residential required** (TripAdvisor uses DataDome). |

#### Example

```json
{
  "placeUrls": ["https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html"],
  "maxReviews": 200
}
```

### Output

```json
{
  "placeId": "103238",
  "placeName": "Skydeck Chicago - Willis Tower",
  "reviewId": "1012345678",
  "title": "Aerial views",
  "rating": 5,
  "text": "Great views of Chicago. I went at night so it was hard to see...",
  "date": "July 23, 2026",
  "url": "https://www.tripadvisor.com/Attraction_Review-g35805-d103238-..."
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- A **residential proxy is required** — TripAdvisor's DataDome protection blocks datacenter IPs. The actor rotates fingerprints + IPs and retries automatically.
- Paginates automatically (10 reviews per page) up to `maxReviews`.
- Owner/management responses are deliberately excluded from `text`, so you get the guest's own words.
- Some TripAdvisor reviews are title-and-rating only; those come back with an empty `text`.

# Actor input Schema

## `placeUrls` (type: `array`):

TripAdvisor place URLs (Hotel\_Review / Restaurant\_Review / Attraction\_Review) to scrape reviews from.

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape per place.

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

Residential proxy is REQUIRED — TripAdvisor uses DataDome bot protection.

## Actor input object example

```json
{
  "placeUrls": [
    "https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html"
  ],
  "maxReviews": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "placeUrls": [
        "https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html"
    ],
    "maxReviews": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/tripadvisor-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 = {
    "placeUrls": ["https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html"],
    "maxReviews": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/tripadvisor-reviews-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "placeUrls": [
    "https://www.tripadvisor.com/Attraction_Review-g35805-d103238-Reviews-Skydeck_Chicago_Willis_Tower-Chicago_Illinois.html"
  ],
  "maxReviews": 10
}' |
apify call hichemdev/tripadvisor-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hichemdev/tripadvisor-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/n6tS8k9KNbyiVDgen/builds/d6ScLKQGjX30fHPiE/openapi.json