# Trip.com Hotels Scraper (`neuro-scraper/trip-com-hotels-scraper`) Actor

Trip.com Hotels Scraper SD - Trip.com Hotels Scraper is a travel data tool that extracts public Trip.com hotels from city lists or hotel links: name, star level, rating, review count, starting price, address, coordinates, check-in times, facilities, review tags and photos.

- **URL**: https://apify.com/neuro-scraper/trip-com-hotels-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

### Trip.com Hotels Scraper - hotels, ratings and facilities from Trip.com

The Trip.com Hotels Scraper extracts public Trip.com hotel pages for a city: hotel name and local name,
star level, guest rating out of 10 with the number of reviews, Trip.com's "from" price, full address,
zone, coordinates, transport and nearby places, opening year, check-in and check-out times, facilities by
category, review tags with counts (for example "Convenient location 1,382"), key facts and photos. Give a
city name or paste Trip.com city, zone or hotel links. No Trip.com account or login is used.

#### Input

| Field | Type | Default | Meaning |
|---|---|---|---|
| `cities` | list | `Bangkok` (prefill) | Cities Trip.com links from its hotels page (Bangkok, Tokyo, Paris, Singapore, Hong Kong, Seoul, Istanbul ...) |
| `startUrls` | list | empty | City / zone lists (`/hotels/<city>-hotels-list-<id>/`, `.../zone<id>/`) or hotel pages (`/hotels/<city>-hotel-detail-<id>/...`) |
| `maxItems` | integer | `20` | Total hotels to return |
| `maxListPages` | integer | `30` | City and zone list pages walked per city to find hotels |
| `proxyConfiguration` | proxy | Apify RESIDENTIAL | Proxy used for Trip.com |

#### Output (one row per hotel)

| Field | Meaning |
|---|---|
| `hotelId`, `name`, `localName`, `url` | Trip.com hotel id, names, link |
| `starRating`, `starType` | Star / diamond level |
| `rating`, `ratingScale`, `reviewCount` | Guest rating (out of 10) and number of reviews |
| `priceFrom`, `priceFromText`, `currency` | Trip.com's "From US$13" starting price |
| `address`, `city`, `region`, `country`, `postalCode`, `zone`, `latitude`, `longitude` | Location |
| `transport`, `nearbyPlaces` | Nearest station text and nearby points with distances |
| `openYear`, `checkIn`, `checkOut` | Opening year and check-in / check-out times |
| `facilities`, `reviewTags`, `facts`, `summary` | Facilities by category, review tags with counts, Q\&A facts, page summary |
| `imageUrl`, `photos` | Main image and photo URLs |
| `source`, `scrapedAt` | Input that produced the row, time |

#### Measured limits (2026-10-03, local runs)

- About 1.3 s per hotel (one page each): 20 hotels in 29 s, 100 in 133 s.
- Hotels are found through Trip.com's public city and zone lists (60-96 hotels on a city page, 20-50 more
  per zone page); very large cities may have hotels that no list page links.
- Prices are Trip.com's public "from" prices, not prices for chosen dates (date pricing is loaded by the
  site's interactive search, which this Actor does not use).
- Cities not linked from https://www.trip.com/hotels/ need their list URL in `startUrls`.
- Tested without proxy from one residential IP; no bot challenge was met. A challenge is never solved: the
  Actor retries on a new IP, then skips the target with an error in the log.

#### Example

```json
{"cities": ["Tokyo", "Singapore"], "maxItems": 200, "maxListPages": 20}
```

# Actor input Schema

## `cities` (type: `array`):

City names from the city lists Trip.com links on https://www.trip.com/hotels/ (Bangkok, Tokyo, Singapore, Hong Kong, Seoul, Istanbul ...). For any other city paste its list URL below.

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

City or zone hotel lists (https://www.trip.com/hotels/bangkok-hotels-list-359/, .../zone1188/) and/or hotel pages (https://www.trip.com/hotels/bangkok-hotel-detail-996749/...).

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

Stops after this many hotels in total (one request per hotel).

## `maxListPages` (type: `integer`):

How many city / zone list pages to walk per city to find hotels (each lists ~50-100 hotels).

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

Residential proxies (the default) are recommended.

## Actor input object example

```json
{
  "cities": [
    "Bangkok"
  ],
  "startUrls": [],
  "maxItems": 20,
  "maxListPages": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "cities": [
        "Bangkok"
    ],
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/trip-com-hotels-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 = {
    "cities": ["Bangkok"],
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/trip-com-hotels-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 '{
  "cities": [
    "Bangkok"
  ],
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call neuro-scraper/trip-com-hotels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/trip-com-hotels-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/S8yd4dcqzfXoSJVEq/builds/NUYQzUfaN6n6ooggD/openapi.json