I hope you find this tutorial on building telegram bots useful. You can also access the bot built in this article here. Looking to develop the Telegram bot further, improve the design or check out example code? Check out the GitHub Repo. We also built a script to track cryptocurrency prices and integrated it into a Telegram bot to build a handy tool for us. In this article, we learned what Telegram bots are and built our first Telegram bot. This is the expected response from our Telegram bot when the bot.py script is executed, and a message is sent to the bot: add_handler(CommandHandler( "start", start)) send_message(chat_id =chat_id, text =message)ĭispatcher. Lets walk through a real example, where you will retrieve 24 volumes of the ETH/USD pair from the cryptocompare. Here, we will be using it to communicate with the CryptoCompare API.Ĭoins = ![]() This article will build a cryptocurrency tracker by consuming data provided by CryptoCompare API using Python.įirst, we need to install the Requests library, which extends Python programs’ functionality by providing functions that allow them to make HTTP requests. A cryptocurrency tracker aggregates multiple coins’ prices in a single place and updates itself as their prices change. There are also many cryptocurrencies in existence, and it can be troublesome to keep track of every one. Building a cryptocurrency trackerĬryptocurrencies are volatile, so their prices change every second. Popular cryptocurrencies include Bitcoin, Ethereum, Litecoin, Doge, and Ripple. They are peer-to-peer and built upon blockchain technology, a distributed and decentralized ledger with no central authority.
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