# TripAdvisor Reviews Scraper (`datascrapers/tripadvisor-reviews-scraper`) Actor

Scrape reviews from TripAdvisor hotel pages.

- **URL**: https://apify.com/datascrapers/tripadvisor-reviews-scraper.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Categories:** Integrations, Travel, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.97 / 1,000 reviews

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/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** creates a structured dataset of hotel review records collected from tripadvisor.com. Each dataset item can include the review rating, title, body text, published date, language, helpful-vote count, reviewer name and avatar, trip details, and the management response when present. Query the source using hotel page URLs, control the result limit with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or XML.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | tripadvisor.com |
| Record unit | One hotel review |
| Input methods | Hotel page URLs |
| Main identifiers | `id`, `url` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML |
| Update model | Fresh records per Actor run |
| Pricing | Pay per event — $1 per 1,000 reviews |

### Coverage and available records

- **Supported inputs** — TripAdvisor hotel page URLs (`https://www.tripadvisor.com/Hotel_Review-...`).
- **Pagination** — Reviews are paginated through TripAdvisor's review endpoint until `maxItems` is reached or the hotel's reviews are exhausted.
- **Language filter** — `language` restricts results to a single ISO 639-1 language (`en`, `es`, `fr`, `de`, and others).
- **Enrichment** — Each review carries the reviewer's display name, avatar, profile URL, and trip details (`stayDate`, `tripType`) when available.
- **Management responses** — `mgmtResponse` captures the hotel's reply text and date when the property has responded.
- **Not currently collected** — Hotel metadata (rating, amenities, photos of the property) and reviewer profile pages.

### Data dictionary

| Field | Type | Nullable | Description | Example |
|---|---:|---|---|---|
| `id` | number | No | Numeric review ID; best deduplication key | `1071377162` |
| `url` | string | No | Review URL | `https://www.tripadvisor.com/ShowUserReviews-...` |
| `rating` | number | Yes | Star rating (1–5) | `5` |
| `title` | string | Yes | Review title | `Loved our stay!` |
| `text` | string | Yes | Review body text | `Great hotel. Very clean...` |
| `publishedDate` | string | Yes | Review date (`YYYY-MM-DD`) | `2026-08-03` |
| `language` | string | Yes | Review language code | `en` |
| `helpfulVotes` | number | Yes | Helpful-vote count | `0` |
| `tripInfo` | object | Yes | Trip details (`stayDate`, `tripType`) | `{ "stayDate": "2026-07-31", "tripType": "FAMILY" }` |
| `userDisplayName` | string | Yes | Reviewer display name | `Hali R` |
| `userAvatar` | string | Yes | Reviewer avatar URL | `https://dynamic-media-cdn.tripadvisor.com/...` |
| `userProfileUrl` | string | Yes | Reviewer profile URL | `https://www.tripadvisor.com/Profile/halir755` |
| `reviewUrl` | string | Yes | Direct review detail URL | `https://www.tripadvisor.com/ShowUserReviews-...` |
| `locationName` | string | Yes | Hotel name | `Crowne Plaza HY36 Midtown Manhattan by IHG` |
| `locationUrl` | string | Yes | Hotel page URL | `https://www.tripadvisor.com/Hotel_Review-...` |
| `photos` | array | Yes | Review photos (often empty) | `null` |
| `mgmtResponse` | object | Yes | Management response (`text`, `publishedDate`) | `{ "text": "...", "publishedDate": "2026-07-26" }` |

### Example dataset record

```json
{
  "id": 1071377162,
  "url": "https://www.tripadvisor.com/ShowUserReviews-g60763-d11854022-r1071377162-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html",
  "rating": 5,
  "title": "Loved our stay!",
  "text": "Great hotel. Very clean, staff was so nice and helpful.",
  "publishedDate": "2026-08-03",
  "language": "en",
  "helpfulVotes": 0,
  "tripInfo": { "stayDate": "2026-07-31", "tripType": "FAMILY" },
  "userDisplayName": "Hali R",
  "locationName": "Crowne Plaza HY36 Midtown Manhattan by IHG",
  "photos": null,
  "mgmtResponse": null
}
```

This record was produced from the hotel URL `https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html`.

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---:|---|---|---|---|
| `startUrls` | array | Yes | — | TripAdvisor hotel page URLs | Pages to scrape reviews from |
| `maxItems` | integer | No | `0` | `0` = unlimited | Max reviews across all hotels |
| `language` | string | No | `en` | ISO 639-1 codes (`en`, `es`, `fr`, `de`, `it`, `pt`, `nl`, `sv`, `da`, `no`, `fi`, `ja`, `zh`, `ko`, `ru`, `ar`) | Language filter |
| `proxyConfiguration` | object | No | Residential | Apify proxy config | Residential proxies used by default |

Minimal request:

```json
{
  "startUrls": [
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html" }
  ]
}
```

Advanced request:

```json
{
  "startUrls": [
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html" }
  ],
  "maxItems": 500,
  "language": "en",
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Retrieve the data through the API

1. Start the Actor with a JSON input via the Apify API or the Actor's API tab.
2. Wait for the run to finish.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset in JSON, CSV, Excel, or XML.

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/tripadvisor-reviews-scraper").call(
    run_input={
        "startUrls": [{"url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html"}],
        "maxItems": 200,
    }
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

### Data quality and record handling

- **Completeness** — Rating, title, text, and date are present on most reviews; `tripInfo`, `photos`, and `mgmtResponse` are conditional.
- **Deduplication** — Use `id` as the stable external key; `url` also works.
- **Retries** — TripAdvisor uses DataDome protection; residential proxies are used by default to reduce blocks.
- **Normalization** — `rating` and `helpfulVotes` are numbers; `publishedDate` uses `YYYY-MM-DD`.
- **Raw vs derived** — All fields are taken directly from TripAdvisor's review payload; no AI-generated or computed values are added.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL/Supabase | Dataset API or webhook consumer | Review archive keyed by `id` |
| Google Sheets | Apify integration | Sentiment review of hotel feedback |
| S3/cloud storage | Scheduled export or integration | Periodic review ingestion for analytics |

### Pricing and cost examples

Billing is pay-per-event, tiered across Apify plans; the rate below is the free-plan rate.

| Event | Charged when | Free-plan rate |
|---|---|---|
| `dataset-item` (Reviews) | A review is pushed to the dataset | $1 per 1,000 reviews |

A fixed one-time Actor Start charge of $0.00005 also applies to each run.

| Reviews | Estimated base cost |
|---:|---:|
| 1,000 | $1 |
| 10,000 | $10 |

Estimates depend on the pricing model and the options enabled.

### Limitations and responsible data use

- Only publicly accessible TripAdvisor review data is collected.
- Review availability depends on TripAdvisor's page structure and DataDome protection; results may be partial during aggressive blocking.
- `photos` and `mgmtResponse` are frequently empty and are conditional.
- No historical snapshots are stored unless you persist them yourself across scheduled runs.
- You are responsible for complying with TripAdvisor's terms and applicable privacy and data laws.

### Dataset questions

#### What does one dataset item represent?

One hotel review. All reviews from each supplied hotel URL are paginated until `maxItems` is reached.

#### Which field should I use as a unique identifier?

`id` is the numeric review ID; `url` is a stable fallback.

#### Are fields nullable or conditional?

Yes. `tripInfo`, `photos`, and `mgmtResponse` are optional and frequently null; `language` reflects the filtered language.

#### Can I retrieve the records as CSV or JSON?

Yes. The default dataset can be exported as JSON, CSV, Excel, or XML from the Apify Console or via the Dataset API.

#### How do I paginate large datasets?

The Actor paginates reviews automatically up to `maxItems`. For very large exports, page through the dataset with the Dataset API `offset` and `limit` parameters.

#### What counts as a billable result?

Each review written to the dataset is one `dataset-item` event.

### Related datasets from Data Scrapers

- [OpenTable Scraper](https://apify.com/datascrapers/opentable-scraper) — restaurant listings and reviews for hospitality research.
- [Yelp Scraper](https://apify.com/datascrapers/yelp-scraper) — business listings and reviews across categories.
- [Google Play Store App Reviews Scraper](https://apify.com/datascrapers/playstore-app-reviews) — app review datasets for sentiment analysis.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

## `startUrls` (type: `array`):

TripAdvisor hotel page URLs to scrape reviews from (e.g. https://www.tripadvisor.com/Hotel\_Review-g60763-d11854022-Reviews-...).

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

Maximum number of reviews to scrape (0 = unlimited). Stops scraping once this limit is reached across all hotels.

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

Language filter for reviews (ISO 639-1 code, e.g. 'en', 'es', 'fr')

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

Proxy settings for anti-bot protection. Residential proxies are required and used by default.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html"
    }
  ],
  "maxItems": 25,
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing scraped TripAdvisor reviews

## `kvsRecords` (type: `string`):

Key-value store records produced by the Actor

# 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 = {
    "startUrls": [
        {
            "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html"
        }
    ],
    "maxItems": 25,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/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 = {
    "startUrls": [{ "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html" }],
    "maxItems": 25,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/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 '{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html"
    }
  ],
  "maxItems": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/tripadvisor-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/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/h6UBg5XreuAiinyIe/builds/TrvHiRnWhegRhULez/openapi.json