# TripAdvisor Scraper (`automation-lab/tripadvisor-scraper`) Actor

Scrape TripAdvisor reviews, hotels, and restaurants. Search by name or paste URLs. Get ratings, review text, dates, and more. Fast HTTP-only scraper at $0.003/review.

- **URL**: https://apify.com/automation-lab/tripadvisor-scraper.md
- **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community)
- **Categories:** Travel, Lead generation
- **Stats:** 51 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.80 / 1,000 review scrapeds

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?

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

# Actor input Schema

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

Search for places by name (e.g., 'Hilton New York', 'Best pizza Rome'). The scraper will find matching places on TripAdvisor and scrape their reviews.

## `urls` (type: `array`):

Direct TripAdvisor URLs to scrape reviews from. Supports hotel, restaurant, and attraction review pages. Use this if you already have specific URLs.

## `placeType` (type: `string`):

Type of place to search for (only used with Search Queries).

## `maxPlacesPerQuery` (type: `integer`):

Maximum number of places to scrape per search query.

## `maxReviewsPerPlace` (type: `integer`):

Maximum number of reviews to scrape per place. Set 0 for all reviews.

## `reviewLanguage` (type: `string`):

Filter reviews by language code (e.g., 'en' for English, 'es' for Spanish, 'fr' for French). Leave empty for all languages.

## `maxRequestRetries` (type: `integer`):

Number of retry attempts for failed requests.

## `tripAdvisorApiKey` (type: `string`):

TripAdvisor's public typeahead API key used for the search-by-name feature. This is the key TripAdvisor embeds in their own web pages and is publicly visible in browser network requests. Only change this if TripAdvisor rotates their key.

## Actor input object example

```json
{
  "searchQueries": [
    "Hilton New York Times Square"
  ],
  "placeType": "lodging",
  "maxPlacesPerQuery": 1,
  "maxReviewsPerPlace": 10,
  "reviewLanguage": "",
  "maxRequestRetries": 5,
  "tripAdvisorApiKey": "3c7beec8-846d-4377-be03-71cae6145fdc"
}
```

# 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 = {
    "searchQueries": [
        "Hilton New York Times Square"
    ],
    "maxPlacesPerQuery": 1,
    "maxReviewsPerPlace": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-lab/tripadvisor-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 = {
    "searchQueries": ["Hilton New York Times Square"],
    "maxPlacesPerQuery": 1,
    "maxReviewsPerPlace": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("automation-lab/tripadvisor-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 '{
  "searchQueries": [
    "Hilton New York Times Square"
  ],
  "maxPlacesPerQuery": 1,
  "maxReviewsPerPlace": 10
}' |
apify call automation-lab/tripadvisor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation-lab/tripadvisor-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/GJgwvYtDQAWxaUj8j/builds/XhKTVmy09BCpiuhm8/openapi.json