# Ihg Hotels Discovery Scraper (`getdataforme/ihg-hotels-discovery-scraper`) Actor
The Ihg Hotels Discovery Scraper extracts detailed data on IHG hotels worldwide, ideal for market research and competitive analysis....
- **URL**: https://apify.com/getdataforme/ihg-hotels-discovery-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Ihg Hotels Discovery Scraper
### Introduction
The Ihg Hotels Discovery Scraper is a powerful tool designed to extract detailed information about IHG hotels from various locations worldwide. Whether you're conducting market research, competitive analysis, or planning a trip, this Actor provides comprehensive data on hotel amenities, reviews, and more.
### Features
- **Comprehensive Hotel Data**: Extracts detailed information including hotel name, address, contact details, and amenities.
- **Accurate Location-Based Search**: Utilize latitude and longitude for precise hotel searches.
- **Customizable Search Parameters**: Set your desired location and date range for tailored results.
- **High Data Quality**: Ensures reliable and up-to-date information.
- **Scalable Scraping**: Capable of handling large volumes of data with a maximum of 1000 hotels per run.
- **Proxy Support**: Uses Apify's residential proxies for anonymous and efficient data extraction.
- **User-Friendly Interface**: Easy to configure and run with minimal setup required.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|---------------------|---------|----------|-----------------------------------------------------------------------------|-------------------|
| `place` | String | Yes | Enter the location to search hotels (e.g., Southampton, London, etc.) | "Southampton" |
| `startDate` | String | Yes | Rebrand start date in YYYY-MM-DD format | "2026-10-07" |
| `latitude` | Number | Yes | Latitude coordinate for the search location | 50.872385 |
| `longitude` | Number | Yes | Longitude coordinate for the search location | -1.578587 |
| `maxItems` | Integer | Yes | Maximum number of hotels to scrape | 100 |
| `proxyConfiguration`| Object | No | Specifies proxy servers used by the scraper | See below |
### Example Usage
#### Example Input
```json
{
"place": "Southampton",
"startDate": "2026-10-07",
"latitude": 50.872385,
"longitude": -1.578587,
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US"
}
}
````
#### Example Output
```json
[
{
"hotelCode": "SOAUK",
"name": "Southampton - West",
"brand": {
"code": "HIEX",
"name": "Holiday Inn Express",
"chainCode": "EX"
},
"address": {
"street1": "Adanac Park",
"street2": "Redbridge Lane",
"street3": "Nursling",
"city": "Southampton",
"zip": "SO16 0YP",
"country": "United Kingdom",
"countryCode": "GB"
},
"contact": {
"phoneNumber": "0800 43 40 40"
},
"location": {
"latitude": 50.9339,
"longitude": -1.4703,
"distance": {
"kilometers": 10.22,
"miles": 6.35
}
},
"description": "Holiday Inn Express Southampton \u2013 West is located in Nursling...
",
"status": "OPEN",
"dateOpened": "2001-02-19",
"reviews": {
"averageRating": 4.258255715495343,
"totalReviews": 2362
},
"amenities": {
"badges": [
"Free Wifi",
"Free Breakfast",
"IHG Green Engage\u2122 Level 1",
"Pet Friendly"
],
"facilities": [
"Free Breakfast",
"Wireless Internet",
"Pets Allowed",
"In hotel restaurants",
"Parking Included",
"Sustainable Practices"
]
},
"parking": {
"available": true,
"complimentary": true,
"description": "Hotel guest parking is free, please register at reception..."
},
"petPolicy": {
"petsAllowed": true,
"serviceAnimalsAllowed": true,
"description": "Pets are welcome at our hotel..."
},
"sustainability": {
"certifiedProgram": true,
"certifications": [
"FuturePlus"
],
"lowCarbonHotel": false
},
"dining": {
"restaurantCount": 1,
"complimentaryBreakfast": false
},
"images": {
"primary": "https://digital.ihg.com/is/image/ihg/holiday-inn-express-southampton-4073537523-original",
"photos": [
{
"type": "primaryAmenityPhoto",
"url": "https://digital.ihg.com/is/image/ihg/holiday-inn-express-southampton-4376518568-original"
}
]
},
"vatIncluded": true,
"scrapedAt": "2026-05-19T07:25:04.376Z",
"searchCriteria": {
"place": "Southampton",
"startDate": "2026-10-07"
}
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather data for market trends and consumer preferences.
- **Competitive Intelligence**: Monitor competitor hotel offerings and pricing.
- **Price Monitoring**: Track changes in hotel pricing over time.
- **Content Aggregation**: Compile comprehensive hotel data for travel websites.
- **Academic Research**: Analyze hospitality industry trends and consumer behavior.
- **Business Automation**: Integrate hotel data into business workflows for automated decision-making.
### Installation and Usage
1. Search for "Ihg Hotels Discovery Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output is a JSON array containing detailed information about each hotel, including:
- **Hotel Code and Name**: Unique identifiers and names.
- **Brand Information**: Details about the hotel brand.
- **Address and Contact**: Full address and contact numbers.
- **Location and Distance**: Geographical coordinates and distance from search location.
- **Description and Status**: Hotel description and operational status.
- **Reviews and Ratings**: Average ratings and total reviews.
- **Amenities and Facilities**: List of available amenities and facilities.
- **Parking and Pet Policy**: Information on parking and pet policies.
- **Sustainability and Dining**: Sustainability certifications and dining options.
- **Images**: URLs to hotel images.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)
We're here to help you get the most out of this Actor!
# Actor input Schema
## `place` (type: `string`):
Enter the location to search hotels (e.g., Southampton, London, etc.)
## `startDate` (type: `string`):
Rebrand start date in YYYY-MM-DD format
## `latitude` (type: `number`):
Latitude coordinate for the search location
## `longitude` (type: `number`):
Longitude coordinate for the search location
## `maxItems` (type: `integer`):
Maximum number of hotels to scrape
## `proxyConfiguration` (type: `object`):
Specifies proxy servers that will be used by the scraper in order to hide its origin.
## Actor input object example
```json
{
"place": "Southampton",
"startDate": "2026-10-07",
"latitude": 50.872385,
"longitude": -1.578587,
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
```
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"place": "Southampton",
"startDate": "2026-10-07",
"latitude": 50.872385,
"longitude": -1.578587,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/ihg-hotels-discovery-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"place": "Southampton",
"startDate": "2026-10-07",
"latitude": 50.872385,
"longitude": -1.578587,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/ihg-hotels-discovery-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"place": "Southampton",
"startDate": "2026-10-07",
"latitude": 50.872385,
"longitude": -1.578587,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}' |
apify call getdataforme/ihg-hotels-discovery-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/ihg-hotels-discovery-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Ihg Hotels Discovery Scraper",
"description": "The Ihg Hotels Discovery Scraper extracts detailed data on IHG hotels worldwide, ideal for market research and competitive analysis....",
"version": "0.0",
"x-build-id": "OSejaU0KeGDVDCSr1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~ihg-hotels-discovery-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-ihg-hotels-discovery-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~ihg-hotels-discovery-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-ihg-hotels-discovery-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~ihg-hotels-discovery-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-ihg-hotels-discovery-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"place",
"startDate",
"latitude",
"longitude",
"maxItems"
],
"properties": {
"place": {
"title": "Place/Location",
"type": "string",
"description": "Enter the location to search hotels (e.g., Southampton, London, etc.)",
"default": "Southampton"
},
"startDate": {
"title": "Start Date",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"type": "string",
"description": "Rebrand start date in YYYY-MM-DD format",
"default": "2026-10-07"
},
"latitude": {
"title": "Latitude",
"type": "number",
"description": "Latitude coordinate for the search location",
"default": 50.872385
},
"longitude": {
"title": "Longitude",
"type": "number",
"description": "Longitude coordinate for the search location",
"default": -1.578587
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of hotels to scrape",
"default": 100
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```