# Tripadvisor Reviews Scraper (`thescrappa/tripadvisor-reviews-scraper`) Actor

Export Tripadvisor reviews of hotels, restaurants and attractions with star rating, title, full text, visit month, sub-ratings, photos and the owner's reply. Paste location IDs or Tripadvisor links, scrape many places in one run and filter by review language.

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

## Pricing

from $0.67 / 1,000 results

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

## Tripadvisor Reviews Scraper

Export every Tripadvisor review of a hotel, restaurant or attraction as one clean row: star rating, title, full text, visit month, sub-ratings such as rooms or service, photos and the owner's reply. Paste location IDs or the Tripadvisor links you already have, add as many places as you like, and filter by review language. Each row also carries the place name, overall rating and review count, so you can compare places in one sheet.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `review_id` | Integer | Tripadvisor ID of the review. |
| `title` | String or null | Review headline written by the guest. |
| `text` | String or null | Full review text. |
| `rating` | Integer | Overall star rating from 1 to 5. |
| `published_date` | String | Date the review was published, in YYYY-MM-DD format. |
| `stay_month` | String or null | Month of the stay or visit, in YYYY-MM format. |
| `helpful_votes` | Integer or null | Number of helpful votes from other travelers. |
| `language` | String or null | Two-letter language code of the review. |
| `author` | String or null | Public Tripadvisor user name of the reviewer. |
| `review_url` | String | Link to the review on Tripadvisor. |
| `photos` | Array\<String> or null | Links to the photos the reviewer added. |
| `sub_ratings` | Object or null | Ratings from 1 to 5 by topic, for example rooms, location, cleanliness, service or value for hotels. |
| `owner_response_text` | String or null | Text of the owner's or manager's reply. Null when there is no reply. |
| `owner_response_date` | String or null | Date of the owner's reply, in YYYY-MM-DD format. |
| `owner_response_author` | String or null | Name of the person who replied for the place. |
| `location_id` | Integer | Tripadvisor location ID of the place. |
| `location_name` | String | Name of the hotel, restaurant or attraction. |
| `location_type` | String | Place type, for example hotel, restaurant or attraction. |
| `location_rating` | Number or null | Overall Tripadvisor rating of the place, from 1 to 5. |
| `location_review_count` | Integer or null | Total number of reviews of the place. |
| `input_location` | String | Location ID or link from your input. |
| `scraped_at` | String | UTC date and time when this record was collected. |

### Use cases

- Hotel and restaurant owners can track new reviews and reply rates for their own places and their competitors.
- Hospitality analysts can measure guest sentiment by sub-rating, such as rooms, cleanliness or service.
- Travel agencies can check recent guest feedback before they add a hotel or tour to their offer.
- Data teams can build training sets for review summaries and sentiment models.
- Marketing teams can collect authentic guest quotes for campaigns and websites.

### How to use

1. Add one entry per place to `locations`, with a location ID such as `18941405` or a Tripadvisor link.
2. Optional: set `language` to a code such as `en` or `de` to get only reviews in that language.
3. Set `maxResults` to the number of reviews you want for each place.
4. Start the run. Each review gives one dataset row with the place name and rating.

```json
{
  "locations": [
    {
      "location_id": "18941405"
    }
  ],
  "maxResults": 20
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `locations` | Array\<object> | Yes | Tripadvisor places to scrape, one per entry. Paste the location ID or the page link of a hotel, restaurant or attraction. |
| `locations[].location_id` | string | Yes per entry | Tripadvisor location ID such as 18941405, or the page link of the hotel, restaurant or attraction. The Actor reads the ID after -d in the link. |
| `locations[].language` | string | No | Only reviews written in this language, as a two-letter code such as en, de or es. Leave empty for reviews in all languages. |
| `language` | string | No | Only reviews written in this language, as a two-letter code such as en, de or es. Leave empty for reviews in all languages. |
| `maxResults` | integer | No | Maximum reviews to save for each location. Tripadvisor returns 20 reviews per page, newest first. |
| `maxPages` | integer | No | Maximum pages to request for each batch entry. |

### Output example

```json
{
  "review_id": 1079812345,
  "title": "Quiet room with a view of the old harbour",
  "text": "We stayed four nights in a sea-view double. The room was spotless, the bed was firm and the breakfast terrace looks straight onto the fishing boats. Staff booked us a table at a great seafood place nearby.",
  "rating": 5,
  "published_date": "2026-09-28",
  "stay_month": "2026-09",
  "helpful_votes": 3,
  "language": "en",
  "author": "Wanderlust_Jo",
  "review_url": "https://www.tripadvisor.com/ShowUserReviews-g190454-d2155823-r1079812345-Harbour_Lights_Boutique_Hotel-Vienna.html",
  "photos": [
    "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2f/1a/7c/10/caption.jpg?w=1024&h=-1&s=1"
  ],
  "sub_ratings": {
    "value": 4,
    "rooms": 5,
    "location": 5,
    "cleanliness": 5,
    "service": 5,
    "sleep_quality": 4
  },
  "owner_response_text": "Thank you for staying with us and for the kind words about our breakfast terrace. We hope to welcome you back soon.",
  "owner_response_date": "2026-10-01",
  "owner_response_author": "Anna M",
  "location_id": 2155823,
  "location_name": "Harbour Lights Boutique Hotel",
  "location_type": "hotel",
  "location_rating": 4.5,
  "location_review_count": 1318,
  "input_location": "18941405",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$1.00 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set **maxPages** per batch entry and **maxResults** for each entry.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items for each entry and **maxPages** to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~tripadvisor-reviews-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Where do I find the Tripadvisor location ID?

It is the number after -d in the page link. In Hotel_Review-g30196-d18941405-Reviews the ID is 18941405. You can also paste the whole link, or find IDs with the Tripadvisor Search Scraper.

#### How many reviews can I get for one place?

Up to 5,000 per place and run, 20 per page, newest first. Set maxResults to stop earlier.

#### Why are some sub-ratings or photos empty?

Tripadvisor shows them only when the reviewer added them. Sub-rating names depend on the place type, for example rooms for hotels or food for restaurants.

### Related Scrappa Actors

- [Tripadvisor Search Scraper](https://apify.com/thescrappa/tripadvisor-search-scraper)
- [Tripadvisor Place Details Scraper](https://apify.com/thescrappa/tripadvisor-place-scraper)
- [Google Maps Reviews Scraper](https://apify.com/thescrappa/google-maps-reviews-scraper)
- [Booking.com Reviews Scraper](https://apify.com/thescrappa/booking-reviews-scraper)
- [Airbnb Reviews Scraper](https://apify.com/thescrappa/airbnb-reviews-scraper)

# Actor input Schema

## `locations` (type: `array`):

Tripadvisor places to scrape, one per entry. Paste the location ID or the page link of a hotel, restaurant or attraction.

## `language` (type: `string`):

Only reviews written in this language, as a two-letter code such as en, de or es. Leave empty for reviews in all languages.

## `maxResults` (type: `integer`):

Maximum reviews to save for each location. Tripadvisor returns 20 reviews per page, newest first.

## `maxPages` (type: `integer`):

Maximum pages to request for each batch entry.

## Actor input object example

```json
{
  "locations": [
    {
      "location_id": "18941405"
    }
  ],
  "maxResults": 20,
  "maxPages": 250
}
```

# Actor output Schema

## `results` (type: `string`):

All results from this run in the default dataset.

# 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 = {
    "locations": [
        {
            "location_id": "18941405"
        }
    ],
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thescrappa/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 = {
    "locations": [{ "location_id": "18941405" }],
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/tripadvisor-reviews-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 '{
  "locations": [
    {
      "location_id": "18941405"
    }
  ],
  "maxResults": 20
}' |
apify call thescrappa/tripadvisor-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thescrappa/tripadvisor-reviews-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/IYXBGrCL3l465iig0/builds/0AtemdgFZ1kToLTpn/openapi.json