Others Makemytrip json

Flight Data: Bengaluru to Delhi (MakeMyTrip Dataset)

Source: makemytrip.com  ยท  Format: json

CrawlFeeds is not affiliated with, endorsed by, or sponsored by Makemytrip. This dataset is independently collected from publicly available pages on makemytrip.com. "Makemytrip" is a registered trademark used here solely to describe the source of the data.
Records
14 Thousand
Fields
11
Format
json
Last collected
โ€”

Description

This dataset provides a detailed list of flights from Bengaluru to Delhi extracted from MakeMyTrip via Crawl Feeds. It includes essential flight information for the period between 8th December 2021 and 10th March 2022, making it ideal for analyzing travel trends, airline performance, and pricing patterns during this time frame.

Key Features:

  • Flight Routes: All flights operating between Bengaluru (BLR) and Delhi (DEL).
  • Dates: Data collected between December 8, 2021, and March 10, 2022.
  • Airline Information: Details about different airlines, including flight numbers, departure and arrival times, and layovers (if any).
  • Flight Duration: Information on total flight times, including direct and connecting flights.
  • Price Data: Collected fare details for various classes (economy, business, premium).
  • Data Format: Structured dataset in CSV format for easy import into analysis tools like Excel, Python, or R.

Applications:

  • Flight Trend Analysis: Analyze flight availability, pricing, and demand over the given time period.
  • Airline Comparison: Compare flight durations, fares, and services offered by various airlines.
  • Travel Demand Insights: Evaluate how air travel between Bengaluru and Delhi fluctuated during these months.
  • Price Forecasting: Study fare patterns to predict future pricing trends for flights between these cities.

For a more extensive analysis of travel trends and to gain deeper insights into the travel industry, explore our Travel & Tourism Data offerings. Our comprehensive datasets can help you anticipate customer needs, optimize operations, and provide personalized experiences to stay ahead in the competitive travel market.

Data fields

airline_name
depart
price
from
to
starting_time
reach_time
total_duration
flights_layover_info
passenger_class
source_url
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