# Tripadvisor Reviews Scraper (`schnellscrapers/tripadvisor-review-monitor`) Actor

Scrape Tripadvisor reviews with ratings, titles, text, published dates, travel dates, languages, helpful votes, and owner replies. Filter recent feedback by date, rating, language, or known review IDs for scheduled reputation monitoring. Residential proxy is preconfigured for DataDome.

- **URL**: https://apify.com/schnellscrapers/tripadvisor-review-monitor.md
- **Developed by:** [Nate Schnell](https://apify.com/schnellscrapers) (community)
- **Categories:** Travel, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 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.

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

### What does Tripadvisor Reviews Scraper do?

Tripadvisor Reviews Scraper collects the newest review rows from hotel, restaurant, and attraction pages. It returns the review title, full text, rating, published date, travel date, language, helpful votes, owner response, and a review-level `isNew` flag for scheduled reputation monitoring.

### What data can you extract from Tripadvisor?

- **Review content** — review ID, title, full text, rating, direct review URL
- **Timing and language** — published date, travel or visit month, language, trip type
- **Reputation signals** — helpful votes, owner response text, owner response date, `isNew`
- **Place context** — place name, place type, location ID, and source URL

The monitor reads the newest public review pages first. Use `knownReviewIds` to label rows already seen by your workflow, or turn on `newReviewsOnly` to write only unseen IDs.

### How to use Tripadvisor Reviews Scraper

1. Open the actor and go to the Input tab.
2. Paste one or more Tripadvisor hotel, restaurant, or attraction URLs into **Place URLs**.
3. Set **Reviews per place** and **Pages per place** as cost guards. Use the date, rating, and language filters when you only need a specific slice.
4. Optionally add review IDs from your last run and enable **New reviews only**.
5. Click **Run**, then download the dataset as JSON, CSV, Excel, or through the Apify API.

Residential proxy is enabled by default because Tripadvisor may present a DataDome challenge to direct or datacenter traffic. If a place is inaccessible, the actor logs a warning and continues with the other URLs.

### How much does it cost?

This actor uses pay-per-event pricing at **$6.00 / 1,000 reviews**. One billable unit is one review row written to the default dataset. The free tier is limited to 100 review rows per run. Filter and deduplication happen before a row is written, so excluded reviews are not billed. The price covers the Residential proxy and browser path Tripadvisor requires for reliable monitoring.

### Input

The required input is `startUrls`, containing public Tripadvisor place URLs with a `-Reviews-` path. `maxReviewsPerPlace`, `maxTotalReviews`, and `maxPagesPerPlace` bound a scheduled run. `startDate`, `endDate`, `reviewRatings`, `language`, `knownReviewIds`, and `newReviewsOnly` narrow the feed.

```json
{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    }
  ],
  "maxReviewsPerPlace": 20,
  "maxTotalReviews": 100,
  "maxPagesPerPlace": 3,
  "startDate": "2026-01-01",
  "knownReviewIds": ["895958274"],
  "newReviewsOnly": true
}
```

### Output

The default dataset has one row per review that passes the filters. Nullable fields remain `null` when Tripadvisor does not display them.

```json
{
  "reviewId": "895958274",
  "placeUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "locationId": "208453",
  "placeName": "Hilton New York Times Square",
  "placeType": "hotel",
  "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g60763-d208453-r895958274-Hilton_New_York_Times_Square-New_York_City_New_York.html",
  "title": "Rooms 5/ 5, Location 6/ 5",
  "text": "Rooms are large and simply fabulous with magnificent views.",
  "rating": 3,
  "publishedDate": "2023-06-19",
  "travelDate": "2023-06",
  "language": "en",
  "tripType": null,
  "ownerResponse": null,
  "ownerResponseDate": null,
  "helpfulVotes": 0,
  "scrapedAt": "2026-08-07T14:00:00.000Z",
  "isNew": true
}
```

### Integrations

Schedule the actor in Apify for daily or weekly review checks, then send the dataset to Make, n8n, Zapier, Google Sheets, or your own Python/Node.js service through the Apify API. `isNew` and `knownReviewIds` make the output convenient for alerting workflows.

### Related actors

- [Tripadvisor Reviews Scraper](https://apify.com/maxcopell/tripadvisor-reviews) — historical review exports with place and reviewer fields.
- [Tripadvisor Scraper](https://apify.com/maxcopell/tripadvisor) — find Tripadvisor places and collect listing details before monitoring them.

### FAQ

#### How does Tripadvisor Reviews Scraper work?

It opens the public place page and the newest review pages in a Chromium browser, extracts the rendered review cards, and follows review-page offsets until the configured cap or filter boundary is reached.

#### Can I use Tripadvisor Reviews Scraper as an API?

Yes. Start a run with the Apify REST API or client library, then read the default dataset URL returned by the run. The API and dataset work with scheduled runs and webhooks.

#### Can I use Tripadvisor Reviews Scraper in Python or Node.js?

Yes. Install `apify-client`, call the actor with your input JSON, and read the resulting dataset items from the client response.

#### Does it require a Tripadvisor login or API key?

No login or Tripadvisor API key is requested. Residential proxy is enabled by default because public pages may challenge direct and datacenter traffic.

#### Is it legal to scrape Tripadvisor?

The actor reads public pages, but your use of the resulting data depends on your jurisdiction, contracts, and intended use. You are responsible for checking the rules that apply to your project and using the data lawfully.

#### How many reviews does each run read?

The default is 20 reviews per place and three pages per place. Lower those caps for frequent monitoring, or raise them for a larger snapshot while keeping the total review cap in view.

### Your feedback

If a public place URL returns no rows or a field changes, report the exact URL and run input in the actor's Issues tab. Feature requests for additional review filters are welcome.

# Actor input Schema

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

Tripadvisor hotel, restaurant, or attraction URLs containing `-Reviews-`. Example: `https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html`.

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

Maximum review rows to inspect for each place. Keep this low for scheduled monitoring; 20 reads the newest two review pages.

## `maxTotalReviews` (type: `integer`):

Hard cap on review rows written across all place URLs. Free tier: maximum 100 rows per run.

## `maxPagesPerPlace` (type: `integer`):

Maximum Tripadvisor review pages to open for each place. A page normally contains up to 10 reviews; this is an additional cost guard.

## `startDate` (type: `string`):

Only keep reviews published on or after this date in `YYYY-MM-DD` format. Leave empty to use only the page and review caps.

## `endDate` (type: `string`):

Only keep reviews published on or before this date in `YYYY-MM-DD` format. Leave empty for the newest available reviews.

## `reviewRatings` (type: `array`):

Keep only these star ratings, for example `[1, 2]` for critical feedback. Leave empty for all ratings.

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

Two-letter language code such as `en`, `fr`, or `de`. Leave empty for all languages.

## `knownReviewIds` (type: `array`):

Review IDs already stored by your monitoring workflow. Returned rows include `isNew`; enable `newReviewsOnly` to exclude these IDs.

## `newReviewsOnly` (type: `boolean`):

Write only rows whose IDs are not in `knownReviewIds`. Keep off when you want a fresh snapshot with `isNew` flags.

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

Residential proxy is recommended for Tripadvisor. The default uses Apify Proxy with the RESIDENTIAL group; DataDome may block direct or datacenter traffic.

## `dryRun` (type: `boolean`):

Fetch and filter reviews without writing dataset rows. Logs report matched and would-write counts.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    }
  ],
  "maxReviewsPerPlace": 20,
  "maxTotalReviews": 100,
  "maxPagesPerPlace": 3,
  "startDate": "2026-01-01",
  "endDate": "2026-12-31",
  "reviewRatings": [],
  "language": "en",
  "knownReviewIds": [],
  "newReviewsOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "dryRun": false
}
```

# Actor output Schema

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

Review ID, place URL, title, text, rating, published date, travel date, language, owner response, and isNew flag.

# 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-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
        }
    ],
    "startDate": "2026-01-01",
    "endDate": "2026-12-31",
    "language": "en"
};

// Run the Actor and wait for it to finish
const run = await client.actor("schnellscrapers/tripadvisor-review-monitor").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-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html" }],
    "startDate": "2026-01-01",
    "endDate": "2026-12-31",
    "language": "en",
}

# Run the Actor and wait for it to finish
run = client.actor("schnellscrapers/tripadvisor-review-monitor").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-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
    }
  ],
  "startDate": "2026-01-01",
  "endDate": "2026-12-31",
  "language": "en"
}' |
apify call schnellscrapers/tripadvisor-review-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,schnellscrapers/tripadvisor-review-monitor"
        }
    }
}

```

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/H7u1DUJGz59ubkru1/builds/jJKd3fAC2YKWlHYtA/openapi.json