# Tripadvisor Attractions MCP Server (`axlymxp/tripadvisor-attractions-mcp`) Actor

Tripadvisor Attractions MCP Server for AI agents. Give Claude, Cursor or ChatGPT live tools to search destinations, list a city's top things to do, and fetch attraction details — ratings, reviews, categories, GPS. Also runs as a classic scraper. Pay per tool call.

- **URL**: https://apify.com/axlymxp/tripadvisor-attractions-mcp.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** Travel, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

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 Attractions MCP Server

Give your AI assistant **live access to Tripadvisor attractions**. This actor runs
as a **Model Context Protocol (MCP) server** so agents like Claude, Cursor,
ChatGPT and n8n can search destinations, list a city's top things to do, and fetch
attraction details on demand — and it also works as a classic one-shot scraper.

Built on Tripadvisor's **mobile API** (static key, no DataDome), so tool calls stay
reliable.

### Who uses this

- **AI agent / app builders** — add real Tripadvisor data to a chatbot, trip
  planner or research agent without maintaining a scraper.
- **Analysts & researchers** — query attractions ad hoc from an assistant.
- **Travel product teams** — prototype destination features with live data.

### MCP tools

| Tool                      | What it does                                                                |
| ------------------------- | --------------------------------------------------------------------------- |
| `search_tripadvisor_geos` | Resolve free text to Tripadvisor destinations (geo id, name, type, route).  |
| `list_attractions`        | Ranked things to do for a city/geo — rating, reviews, category, GPS, photo. |
| `get_attraction`          | Detail for one attraction — rating, reviews, canonical tripadvisor.com URL. |

### Connect it

Start the actor in **Standby** mode and point your MCP client at:

```
https://<your-actor-standby-url>/mcp
```

Example (Claude Desktop / Cursor config):

```json
{
    "mcpServers": {
        "tripadvisor": {
            "url": "https://<your-actor-standby-url>/mcp"
        }
    }
}
```

Then ask your agent things like *"List the top 10 things to do in Rome with their
ratings and coordinates"* or *"Find the Tripadvisor geo id for Kyoto"*.

### Classic scraper mode

Prefer a one-shot dataset run? Provide `query` (a city name or geo id) and the
actor pushes that city's attractions to the dataset — handy for scheduled jobs.

#### Output fields (list\_attractions / dataset)

| Field          | Type    | Description                 |
| -------------- | ------- | --------------------------- |
| `location_id`  | integer | Tripadvisor attraction id   |
| `name`         | string  | Attraction name             |
| `rank`         | integer | Ranked position in the city |
| `rating`       | number  | Average bubble rating (0–5) |
| `review_count` | integer | Traveler reviews            |
| `category`     | string  | Attraction category         |
| `latitude`     | number  | GPS latitude                |
| `longitude`    | number  | GPS longitude               |
| `image_url`    | string  | Primary photo URL           |
| `geo_id`       | integer | City/region geo id          |
| `geo_name`     | string  | City/region name            |

### Example (classic run) input

```json
{ "query": "Paris", "limit": 20, "includeCoordinates": true }
```

### FAQ

**How do agents use it?** Start it in Standby mode and connect any MCP client to
`/mcp` (Streamable HTTP). The three tools appear automatically.

**Where does the data come from?** Tripadvisor's mobile app API — the same data
the app shows for a destination's "Things to Do".

**Is it reliable?** The mobile API is not behind the website's DataDome challenge,
so tool calls are stable.

**Is scraping this legal?** You are responsible for complying with Tripadvisor's
terms and applicable laws; use only public data and reasonable rates.

# Actor input Schema

## `query` (type: `string`):

Classic-run mode only: a city/place name (e.g. "Rome") or numeric Tripadvisor geo id. Leave empty to run as an MCP server in Standby mode.

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

Classic-run mode: max attractions to return.

## `includeTourProducts` (type: `boolean`):

Also include bookable tours/experiences.

## `includeCoordinates` (type: `boolean`):

Attach latitude/longitude to each attraction.

## Actor input object example

```json
{
  "query": "Paris",
  "limit": 30,
  "includeTourProducts": false,
  "includeCoordinates": true
}
```

# 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 = {
    "query": "Paris"
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/tripadvisor-attractions-mcp").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 = { "query": "Paris" }

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/tripadvisor-attractions-mcp").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 '{
  "query": "Paris"
}' |
apify call axlymxp/tripadvisor-attractions-mcp --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/omo72Cv7SOMgqSWpb/builds/fGCeCCnYuqohCY4V6/openapi.json