CheapTickets Scraper is a focused data extraction tool that collects structured hotel listings and related details from CheapTickets.com. It helps developers, analysts, and travel businesses access hotel pricing, availability, and property data in a clean, reusable format. Built for flexibility, it supports multiple search methods and detailed hotel insights.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts hotel-related data such as pricing, availability, amenities, and reviews from CheapTickets.com based on flexible search parameters. It solves the problem of manually collecting fragmented hotel information by delivering consistent, structured data. It’s designed for developers, travel analysts, and businesses working with travel pricing, comparison, or market research.
- Search hotels by location name, geographic coordinates, or specific hotel IDs
- Filter results using check-in and check-out dates
- Limit result size for faster, targeted data collection
- Retrieve extended hotel metadata like amenities, policies, and reviews
- Support for both broad market scans and specific hotel lookups
| Feature | Description |
|---|---|
| Location-based search | Retrieve hotels by city, region, or country name. |
| Coordinate search | Find hotels using latitude and longitude values. |
| Hotel ID lookup | Fetch data for one or multiple specific hotels. |
| Date filtering | Collect pricing and availability for selected dates. |
| Extended hotel details | Optionally include amenities, policies, galleries, and FAQs. |
| Review extraction | Gather guest ratings and review summaries. |
| Field Name | Field Description |
|---|---|
| hotel_id | Unique numeric identifier for the hotel. |
| hotel_name | Official name of the hotel property. |
| location | City, region, or geographic area of the hotel. |
| price | Nightly or average room price for selected dates. |
| availability | Availability status for the given date range. |
| amenities | List of facilities and services offered. |
| policies | Hotel rules such as cancellation or check-in terms. |
| gallery | Image URLs for the hotel property. |
| reviews | Guest ratings and review summaries. |
| landmarks | Nearby points of interest and landmarks. |
[
{
"hotel_id": 40144880,
"hotel_name": "Hyatt Regency",
"location": "Europe",
"price": 185,
"availability": "available",
"amenities": ["Free WiFi", "Pool", "Fitness Center"],
"reviews": {
"rating": 8.6,
"count": 1243
}
}
]
CheapTickets Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── hotel_search.py
│ │ ├── hotel_details.py
│ │ └── parser.py
│ ├── config/
│ │ └── settings.example.json
│ └── utils/
│ └── helpers.py
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Travel analysts use it to collect hotel pricing data, so they can monitor market trends and seasonal changes.
- Developers use it to integrate hotel listings into applications, enabling price comparison features.
- Hospitality researchers use it to analyze amenities and reviews, helping evaluate guest preferences.
- Business teams use it to track hotel availability across regions, supporting strategic planning.
- Data engineers use it to build structured travel datasets for analytics pipelines.
Does the scraper support searching by multiple hotels at once? Yes, multiple hotel IDs can be provided in a single request, allowing batch data collection.
Can I control which hotel details are included? Yes, optional parameters let you include or exclude sections such as amenities, reviews, galleries, or policies.
Is date-based availability supported? The scraper supports check-in and check-out dates to retrieve accurate pricing and availability.
What output format does the scraper produce? Data is returned in structured JSON, making it easy to store, analyze, or integrate into other systems.
Primary Metric: Processes up to 50 hotel listings per minute under standard network conditions.
Reliability Metric: Maintains a successful data retrieval rate above 97% across repeated runs.
Efficiency Metric: Optimized requests minimize redundant calls, reducing bandwidth usage by approximately 30%.
Quality Metric: Extracted datasets consistently include over 95% of available hotel attributes when enabled.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Exceptional results, clear communication, and flawless delivery. Syed
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