Now let’s cut to the chase and discover how to write a chatbot.

Step #0: A Little Bit of Telegram Bot API Theory

I want to start this guide with a simple question: generally speaking, how do you develop Telegram chatbots?

The answer is very easy: you use HTTP API both for reading the messages sent by users and for messaging back. This calls for using URL which looks like

A token is a unique string of characters required to authenticate a bot in the system (a token is generated during the bot’s creation); and METHOD_NAME (and this is obvious from its name) is a method, for example, getUpdates, sendMessage, getChat, etc.

A token looks something like:


For the execution of requests, you can use both GET and POST requests. A lot of methods require additional parameters (while using the sendMessage method, for example, it is necessary to state chat_id and text). The parameters can be passed as a URL query string, application/x-www-form-urlencoded, and application-json (except for uploading of files). Another requirement is UTF-8 encoding.

After sending an API request you will receive a JSON response. For example, if we fetch data with “getMe” method, we will receive something like this:

   ok: true,
   result: {
       id: 231757398,
       first_name: "Exchange Rate Bot",
       username: "exchangetestbot"

If ‘ok’ is true the request was successful and the result will be displayed in the ‘result’ field. Otherwise, if ‘ok’ is false and you will see an error message in the ‘description’ field.

You can find a list of all Telegram Bot API data types and methods here.

The next question: how to receive the users’ messages?

There are two ways to receive the messages.

The first one is to manually make requests via the getUpdates method. In the response, you will get an array of Update objects. This method acts as long polling technology (you make a request, process the data and then start over again). To avoid reprocessing the same data I recommend using the offset parameter.

The second way is to use webhooks. You have to use the setWebhook method only once. After that Telegram will send all the updates on the specified URL as soon as they arrive. The only limitation is that you need HTTPS, however, self-signed certificates are also permitted.

How to choose an optimal method? The first option is best suited if:

  1. You don’t want/can’t configure HTTPS during the development.
  2. You use scripting languages operation which is hard to integrate into a web server.
  3. Your bot is high-loaded.
  4. You change the bot’s server from time to time.

Webhook method is the best choice if:

  1. You code in web languages (PHP for example).
  2. Your bot is low-load and there is no point in manually requesting updates on a regular basis.
  3. Your bot is permanently integrated into a web server.

In this guide, I will use the getUpdates method.

Yet another question: how to create a bot?

@BotFather is used in creating a Telegram bot. It also allows a basic configuration (description, profile photo, inline support, etc.).

Are there any libraries that can simplify working with Telegram Bot API?

There are plenty of helpful libraries for various languages. To name a few:

At their core, all these libraries are HTTP requests wrappers. A great deal of them is written using OOP and reflects all the Telegram Bot API data types in classes.

In this Telegram bot tutorial, I’m going to create a Telegram bot with Python and with the help of the pyTelegramBotApi library.

Step #1: Implement the Exchange Rates Requests

Let’s write a python script which is going to implement the logic for specific currency exchange rates requests. We’re going to use PrivatBank API. URL:

An example of a response:

        ccy: "EUR",
        base_ccy: "UAH",
        buy: "28.70000",
        sale: "29.10000"
        ccy: "RUR",
        base_ccy: "UAH",
        buy: "0.39300",
        sale: "0.40300"
        ccy: "USD",
        base_ccy: "UAH",
        buy: "25.40000",
        sale: "25.70000"

Let’s create a pb.ру file and write the following code:

# -*- coding: utf-8 -*-
import re
import requests
import json<br>
URL = ''
<br>def load_exchange():
   return json.loads(requests.get(URL).text)

def get_exchange(ccy_key):
   for exc in load_exchange():
       if ccy_key == exc['ccy']:
           return exc
   return False

def get_exchanges(ccy_pattern):
   result = []
   ccy_pattern = re.escape(ccy_pattern) + '.*'
   for exc in load_exchange():
       if re.match(ccy_pattern, exc['ccy'], re.IGNORECASE) is not None:
   return result

We have implemented three methods:

  • load_exchange: loads the exchange rates on a specified URL and returns in dict type.
  • get_exchange: returns the exchange rates for the requested currency.
  • get_exchanges: returns a list of currencies according to a pattern (required in search for currencies in inline requests).

Step #2: Create a Telegram Bot Using @BotFather

Contact the @BotFather bot to receive a list of commands. Now use the /newbot command and wait for instructions to select name and username. Upon successfully creating your bot you’ll receive the following message:

Done! Congratulations on your new bot. You will find it at<username>. 
You can now add a description, about section and profile picture for your bot, see /help for a list of commands. 
By the way, when you've finished creating your cool bot, ping our Bot Support if you want a better username for it. 
Just make sure the bot is fully operational before you do this.

Use this token to access the HTTP API:
<token> (here goes the bot’s token)

For a description of the Bot API, see this page:

Let’s configure the bot’s settings right off the bat. You should specify description and about text (/setdescription and /setabouttext commands), profile photo (/setuserpic), turn on inline mode (/setinline), add commands prompts (/setcommands). You will need to use two commands: /help and /exchange. Let’s describe them in /setcommands.

Now when the setup is over you can proceed to write the code itself. Before moving on I would highly recommend you read on the API and look into the library documentation to better understand the information below.

Step #3: Configure and Initialize the Bot

Let’s begin with creating a file for configuration purposes:

# -*- coding: utf-8 -*-
TOKEN = '<bot token>’'
TIMEZONE = 'Europe/Kiev'

Here we have: the bot’s token and the time zone it will operate in (you’ll need this in the future to specify the time for message updating. Telegram API doesn’t allow you to find out a user’s time zone, therefore the update time should be displayed with a time zone prompt).

Let’s create a file, import all the necessary libraries, config files and the previously created If some of the libraries are absent then install them via pip.

# -*- coding: utf-8 -*-
import telebot
import config
import pb
import datetime
import pytz
import json
import traceback

P_TIMEZONE = pytz.timezone(config.TIMEZONE)

Let’s create the bot using the pyTelegramBotAPI library. For this purpose you should pass the token into a constructor:

bot = telebot.TeleBot(config.TOKEN)

Step #4: Write the /start Command Handler

Now your bot is initialized and constantly requests the getUpdates method. The none_stop parameter is responsible for polling to continue even if the API returns an error while executing the method.

Then it’s possible to call any Telegram Bot API methods from a bot variable.

Let’s start with writing a /start command handler and add it before the bot.polling(none_stop=True) line:

def start_command(message):
       'Greetings! I can show you PrivatBank exchange rates.\n' +
       'To get the exchange rates press /exchange.\n' +
       'To get help press /help.'

As you can see pyTelegramBotApi uses Python decorators to initialize handlers for various commands. You can also catch messages using regexp, their content-type and with lambda functions.

In our case, if commands=[‘start’] condition is true, the start_command function will be called. A message object (deserialized Message type) will be passed into this function. Afterward, you simply execute send_message into the same chat with the specified message. Whew, that was easy, wasn’t it?

Step #5: Create the /help Command Handler

Let’s give our /help command handler a little zest, an inline button linking to your Telegram account. Let’s name the button “Message the developer”.

def help_command(message):
   keyboard = telebot.types.InlineKeyboardMarkup()
           ‘Message the developer’, url=''
       '1) To receive a list of available currencies press /exchange.\n' +
       '2) Click on the currency you are interested in.\n' +
       '3) You will receive a message containing information regarding the source and the target currencies, ' +
       'buying rates and selling rates.\n' +
       '4) Click “Update” to receive the current information regarding the request. ' +
       'The bot will also show the difference between the previous and the current exchange rates.\n' +
       '5) The bot supports inline. Type @<botusername> in any chat and the first letters of a currency.',

As you can see in the example above I’ve used an additional parameter (reply_markup) for the send_message method. The method received InlineKeyboardMarkup consisting of a single InlineKeyboardButton with the text: “Message the developer” and url=’’.

The above looks like this:

Creating /help command in a chatbot

Step #6: Add the /exchange Command Handler

The /exchange command handler displays a currency choice menu and inline keyboard consisting of 3 buttons: USD, EUR, and RUR (these are the currencies supported by the banking API).

def exchange_command(message):<br>  keyboard = telebot.types.InlineKeyboardMarkup()
      telebot.types.InlineKeyboardButton('USD', callback_data='get-USD')
    telebot.types.InlineKeyboardButton('EUR', callback_data='get-EUR'),
    telebot.types.InlineKeyboardButton('RUR', callback_data='get-RUR')

  bot.send_message(, ‘Click on the currency of choice:', reply_markup=keyboard)

Let me explain what callback-data in InlineKeyboardButton is. When a user clicks this button you’ll receive CallbackQuery (its data parameter will contain callback-data) in getUpdates. In such a way you will know exactly which button a user has pressed and handle it as appropriate.

This is how the /exchange response looks like:

/exchange command in exchange rates chat bot

Step #7: Write an Inline Button Click Handler

pyTelegramBotAPI offers using the @bot.callback_query_handler decorator which will pass the CallbackQuery object into a nested function.

@bot.callback_query_handler(func=lambda call: True)
def iq_callback(query):
   data =
   if data.startswith('get-'):

Let’s implement the get_ex_callback method:

def get_ex_callback(query):

The answer_callback_query method is required to remove the loading state, which appears upon clicking the button. Let’s send a message into send_exchange_query. You’ll have to pass it Message and the currency code (you can get it from If it was, for example, get-USD, then pass USD).

Let’s implement send_exchange_result:

def send_exchange_result(message, ex_code):
   bot.send_chat_action(, 'typing')
   ex = pb.get_exchange(ex_code)
   bot.send_message(, serialize_ex(ex),

This is also pretty straightforward.

Let’s first send the typing state into the chat, so that the bot will display the “typing” indicator while the banking API receives a request. Now let’s call the get_exchange method from a file, which will receive the currency code, USD, for example. You’ll also have to call two new methods into send_message: serialize_ex, a currency serializer, and get_update_keyboard (which returns the keyboard to “Update” and “Share” buttons).

def get_update_keyboard(ex):
   keyboard = telebot.types.InlineKeyboardMarkup()
               't': 'u',
               'e': {
                   'b': ex['buy'],
                   's': ex['sale'],
                   'c': ex['ccy']
           }).replace(' ', '')
       telebot.types.InlineKeyboardButton('Share', switch_inline_query=ex['ccy'])
   return keyboard

Let’s write in get_update_keyboard the current exchange rates in callback_data using JSON format. JSON is intentionally compressed because the maximum allowed file size is 64 bytes.

t key means type and e key means exchange. The rest is done using the same principle.

The “Share” button will have the switch_inline_query parameter. Pressing the button will prompt the user to select one of their chats, open that chat and insert the bot‘s username and the specified inline query in the input field.

Next, let’s present the serialize_ex method and auxiliary serialize_exchange_diff required to show the difference between the current and the old exchange rates upon clicking the “Update” button.

def serialize_ex(ex_json, diff=None):
   result = '<b>' + ex_json['base_ccy'] + ' -> ' + ex_json['ccy'] + ':</b>\n\n' + \
            'Buy: ' + ex_json['buy']
   if diff:
       result += ' ' + serialize_exchange_diff(diff['buy_diff']) + '\n' + \
                 'Sell: ' + ex_json['sale'] + \
                 ' ' + serialize_exchange_diff(diff['sale_diff']) + '\n'
       result += '\nSell: ' + ex_json['sale'] + '\n'
   return result

def serialize_exchange_diff(diff):
   result = ''
   if diff > 0:
       result = '(' + str(diff) + ' <img draggable="false" data-mce-resize="false" data-mce-placeholder="1" data-wp-emoji="1" class="emoji" alt="<img draggable="false" data-mce-resize="false" data-mce-placeholder="1" data-wp-emoji="1" class="emoji" alt="↗️" src="">" src="">)'
   elif diff < 0:
       result = '(' + str(diff)[1:] + ' <img draggable="false" data-mce-resize="false" data-mce-placeholder="1" data-wp-emoji="1" class="emoji" alt="<img draggable="false" data-mce-resize="false" data-mce-placeholder="1" data-wp-emoji="1" class="emoji" alt="↘️" src="">" src="">)'
   return result

As you can see, the serialize_ex method receives an optional parameter diff. It’s there that you’ll pass the difference between the exchange rates in {‘buy_diff’: <float>, ‘sale_diff’: <float>} format. This will happen during the serialization when you click the “Update” button. We won’t need it the first time the exchange rates are displayed on the screen.

This is how the bot’s answer looks like upon clicking USD button:

writing an inline button click handler for a chat bot

Step # 8: Implement the Update Button Handler

Now you’re ready to implement the “Update” button handler. After complementing the iq_callback method it will look as follows:

@bot.callback_query_handler(func=lambda call: True)
def iq_callback(query):
   data =
   if data.startswith('get-'):
           if json.loads(data)['t'] == 'u':
       except ValueError:

If callback-data begins with get-’ (get-USD, get-EUR and so on) then let’s call get_ex_callback as we did before. Otherwise let’s try to parse JSON and receive its t key. If it equals ‘u’ then call the edit_message_callback method. Let’s implement it:

def edit_message_callback(query):
   data = json.loads(['e']
   exchange_now = pb.get_exchange(data['c'])
   text = serialize_ex(
   ) + '\n' + get_edited_signature()
   if query.message:
   elif query.inline_message_id:

How does it work? Very simply:

  1. Load the current exchange rate (exchange_now = pb.get_exchange(data[‘c’]).
  2. Generate a text for a new message by serializing the current exchange rate with the diff parameter, which you’ll receive with the aid of new methods (I’ll write about them below). Let’s also add an edit signature – get_edited_signature.
  3. Next let’s call the edit_message_text method if the original message is regular. If it is a response to an inline request then pass different parameters.

The get_ex_from_iq_data method parses JSON from callback_data:

def get_ex_from_iq_data(exc_json):
   return {
       'buy': exc_json['b'],
       'sale': exc_json['s']

The get_exchange_diff method receives the old and the current exchange rates and returns the difference in {‘buy_diff’: <float>, ‘sale_diff’: <float>} format:

def get_exchange_diff(last, now):
   return {
       'sale_diff': float("%.6f" % (float(now['sale']) - float(last['sale']))),
       'buy_diff': float("%.6f" % (float(now['buy']) - float(last['buy'])))

 get_edited_signature generates “updated …” text:

def get_edited_signature():
   return '<i>Updated ' + \
          str('%H:%M:%S')) + \
          ' (' + TIMEZONE_COMMON_NAME + ')</i>'

This is how the message looks like upon updating if the exchange rates haven’t changed:

Implementing the update button handler in a chat bot

And this is how it looks if the exchange rates have changed:

Implementing the update button handler in a chat bot - changed rates

Step #9: Implement the Inline Mode

Let’s implement inline. This means that writing @ + bot’s name in any chat will activate the search for the entered text and offer the results. By clicking one of them the bot will send the result on your behalf (marked “via bot”).

@bot.inline_handler(func=lambda query: True)
def query_text(inline_query):

You have implemented the inline query handler.

The library will pass the InlineQuery object into the query_text function. Inside you use the answer_inline_query function which should receive inline_query_id and an array of objects (the search results).

Let’s use get_exchanges from to search for several currencies that suit the search query. Let’s pass this array into the get_iq_articles method which will return the array from InlineQueryResultArticle:

def get_iq_articles(exchanges):
   result = []
   for exc in exchanges:
               description='Convert ' + exc['base_ccy'] + ' -> ' + exc['ccy'],
   return result

Now when you enter @exchnagetestbot + space in any chat you’ll see the following:

develop a banking chat bot - the result

Let’s type usd and the result will be instantly filtered:

How to build currency exchange chatbot - choosing currency

Let’s click the offered result:

develop a currency exchange bot - results

The “Update” button is also operational:

Creating a banking chat bot - the result

Good job! You’ve successfully implemented the inline mode!

Wrapping up

Congratulations! Now you know how to create a Telegram bot, implement inline keyboard, messages updating, and the inline mode. You can pat yourself on your awesome back and raise a toast to the new Botfather.


Previously on Chatbots: