# Tripadvisor Listings Scraper (`outstanding_vegetable/tripadvisor-listings-scraper`) Actor

Scrape Tripadvisor's ranked lists of hotels, restaurants and attractions for any destination: name, rating, review count, ranking position, price range, cuisines, address, coordinates, image and URL. Paste any Tripadvisor listing page. No browser, no API key.

- **URL**: https://apify.com/outstanding\_vegetable/tripadvisor-listings-scraper.md
- **Developed by:** [Peter Skotte](https://apify.com/outstanding_vegetable) (community)
- **Categories:** Travel, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 places

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Scraper — hotels, restaurants & attractions by destination

Paste any Tripadvisor **Hotels**, **Restaurants** or **Attractions** page and get its ranked list as
clean data: name, rating, review count, ranking position, price range, cuisines, address,
**coordinates**, phone, image and URL. No browser, no API key, no login.

### Input

| Field | Default | Notes |
|---|---|---|
| `listingUrls` | Austin hotels | Any `Hotels-g…`, `Restaurants-g…` or `Attractions-g…-Activities-…` page, in any Tripadvisor country domain |
| `maxItems` | `10` | Per URL, 30 per page, up to 3,000 |

### Output

```json
{
  "type": "restaurant", "rank": 1,
  "name": "Franklin Barbecue", "url": "https://www.tripadvisor.com/Restaurant_Review-g30196-d466227-Reviews-Franklin_Barbecue-Austin_Texas.html", "locationId": "466227",
  "rating": 4.6, "reviewCount": 1798, "priceRange": "$$ - $$$", "cuisines": ["American", "Barbecue"],
  "street": "900 E 11th St", "city": "Austin", "region": "TX", "postalCode": "78702", "country": "US",
  "latitude": 30.2701, "longitude": -97.7313, "phone": "+1 512-653-1187",
  "imageUrl": "https://media-cdn.tripadvisor.com/media/photo-s/…", "description": null,
  "destination": "Austin", "totalPlaces": 3562, "sourceUrl": "https://www.tripadvisor.com/Restaurants-g30196-Austin_Texas.html",
  "scrapedAt": "2026-09-07T20:00:00.000Z"
}
```

### Use cases

Destination research and itinerary tools, hospitality competitor benchmarking, restaurant and hotel
lead lists with phone numbers and coordinates, and market sizing by city.

### Notes

- Individual review pages are not included; this actor covers the ranked listings.
- Find a destination's geo id by opening it on Tripadvisor; it is the `g30196` part of the URL.

# Actor input Schema

## `listingUrls` (type: `array`):

Hotels, Restaurants or Attractions pages for any destination, e.g. https://www.tripadvisor.com/Hotels-g30196-Austin\_Texas-Hotels.html, …/Restaurants-g187147-Paris\_Ile\_de\_France.html, …/Attractions-g186338-Activities-London\_England.html

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

30 per page.

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

Residential proxy is required.

## Actor input object example

```json
{
  "listingUrls": [
    "https://www.tripadvisor.com/Hotels-g30196-Austin_Texas-Hotels.html"
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `records` (type: `string`):

Dataset of places (JSON).

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("outstanding_vegetable/tripadvisor-listings-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("outstanding_vegetable/tripadvisor-listings-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 '{}' |
apify call outstanding_vegetable/tripadvisor-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,outstanding_vegetable/tripadvisor-listings-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/UvThyvwacVEEdmDDT/builds/dvd0j2fxEyiRKibu5/openapi.json