🌐 Mutual Timezones Dataset: Countries, Country Codes, Cities and Flags

💌 Thanks to:

• OpenAI's ChatGPT: For expediting the process.
• devhammed: For the devhammed_countries-flags-codes.json file.
• dmfilipenko: For the dmfilipenko_timezones.json file.
• zeitverschiebung.net: For the timezone data with cities (resulting in 01_scraped-timezones-cities.json).
• flagpedia.net: For the emoji flags (resulting in 02_scraped-flags.json).

🔰 Project Steps:

💡 The file names indicate the process themselves.

👣 Steps

01: Scraped timezones and cities.

02: Scraped emoji flags.

03: Identified countries with multiple timezones.

04: First, I consulted ChatGPT and provided the content of 03_counted-countries.json to ask for a Python dictionary with capital or widely accepted timezones for countries with multiple timezones. Afterward, I manually researched and verified the results and adapted the city names (values) to match the city names in the JSON from step 01.

05: Created a JSON file (includes multiple timezones for each country).

06: Used the Python dictionary from step 04 to create a JSON file with unique timezones for each country!

💻 Used by:

This work is done as part of my personal project, UtAZBot, an inline utility Telegram bot built with Rust, to display local times for all countries in sorted order.