Traveloka Data Crawling Project Overview

The aim of this project is to systematically gather data from Traveloka using methods: Selenium. The extracted information will be organized into structured dataframes comprising Hotel, Coach, and PlaneTrip details.

Project Objective

This project endeavors to scrape Traveloka's data and transform it into a structured format suitable for subsequent analysis or integration into applications.

Methodologies

• Selenium: Employing Selenium to automate web browser interactions for efficient data scraping from Traveloka.

Data Extraction Details

The extracted data will encompass the following aspects:

Hotel Data:

• hotel_names: Name of the hotel
• location: Hotel location
• price: Hotel price
• score_hotels: Hotel rating score
• number_rating: Number of hotel ratings
• star_number: Hotel star rating
• received_time: Check-in time
• giveback_time: Check-out time
• description: Hotel description
• hotel_link: Link to the hotel
• id: Hotel identifier

Coach Data:

• brand: Coach brand
• price: Coach price
• number_of_seat: Number of seats available
• start_time: Departure time
• start_day: Departure day
• end_day: Arrival day
• end_time: Arrival time
• trip_time: Total trip duration
• take_place: Departure location
• destination: Destination
• location: Destination location
• id: Coach identifier

PlaneTrip Data:

• brand: Airline brand
• price: Airline ticket price
• start_time: Departure time
• start_day: Departure day
• end_day: Arrival day
• end_time: Arrival time
• trip_time: Total trip duration
• take_place: Departure location
• destination: Destination
• id: Plane trip identifier

Contact Information

For inquiries, suggestions, or collaboration opportunities, please don't hesitate to get in touch. Your feedback and insights are invaluable for continuous improvement.