Home > Article > Backend Development > Integrating Telegram Stars ⭐️ Payment in a Python Bot
Today I'll show you how to set up payments in your bot using Telegram's internal currency, Telegram Stars ⭐️.
First, create a bot using BotFather. If you're familiar with this process, you can use your own test bot. In this example, I'll use the bot @repeats_bot.
Here’s an example of your project structure:
TelegramStarsBot (root) |-img/ |-img-X9ptcIuiOMICY0BUQukCpVYS.png |-bot.py |-config.py |-database.py |-.env
import telebot from telebot import types from config import TOKEN from database import init_db, save_payment import os bot = telebot.TeleBot(TOKEN) # Initialize the database init_db() # Function to create a payment keyboard def payment_keyboard(): keyboard = types.InlineKeyboardMarkup() button = types.InlineKeyboardButton(text="Pay 1 XTR", pay=True) keyboard.add(button) return keyboard # Function to create a keyboard with the "Buy Image" button def start_keyboard(): keyboard = types.InlineKeyboardMarkup() button = types.InlineKeyboardButton(text="Buy Image", callback_data="buy_image") keyboard.add(button) return keyboard # /start command handler @bot.message_handler(commands=['start']) def handle_start(message): bot.send_message( message.chat.id, "Welcome! Click the button below to buy an image.", reply_markup=start_keyboard() ) # Handler for the "Buy Image" button press @bot.callback_query_handler(func=lambda call: call.data == "buy_image") def handle_buy_image(call): prices = [types.LabeledPrice(label="XTR", amount=1)] # 1 XTR bot.send_invoice( call.message.chat.id, title="Image Purchase", description="Purchase an image for 1 star!", invoice_payload="image_purchase_payload", provider_token="", # For XTR, this token can be empty currency="XTR", prices=prices, reply_markup=payment_keyboard() ) # Handler for pre-checkout queries @bot.pre_checkout_query_handler(func=lambda query: True) def handle_pre_checkout_query(pre_checkout_query): bot.answer_pre_checkout_query(pre_checkout_query.id, ok=True) # Handler for successful payments @bot.message_handler(content_types=['successful_payment']) def handle_successful_payment(message): user_id = message.from_user.id payment_id = message.successful_payment.provider_payment_charge_id amount = message.successful_payment.total_amount currency = message.successful_payment.currency # Send a purchase confirmation message bot.send_message(message.chat.id, "✅ Payment accepted, please wait for the photo. It will arrive soon!") # Save payment information to the database save_payment(user_id, payment_id, amount, currency) # Send the image photo_path = 'img/img-X9ptcIuiOMICY0BUQukCpVYS.png' if os.path.exists(photo_path): with open(photo_path, 'rb') as photo: bot.send_photo(message.chat.id, photo, caption="?Thank you for your purchase!?") else: bot.send_message(message.chat.id, "Sorry, the image was not found.") # /paysupport command handler @bot.message_handler(commands=['paysupport']) def handle_pay_support(message): bot.send_message( message.chat.id, "Purchasing an image does not imply a refund. " "If you have any questions, please contact us." ) # Start polling bot.polling()
import os from dotenv import load_dotenv # Load environment variables from .env file load_dotenv() # Get values from environment variables TOKEN = os.getenv('TOKEN') DATABASE = os.getenv('DATABASE')
import sqlite3 from config import DATABASE def init_db(): with sqlite3.connect(DATABASE) as conn: cursor = conn.cursor() cursor.execute(''' CREATE TABLE IF NOT EXISTS payments ( user_id INTEGER, payment_id TEXT, amount INTEGER, currency TEXT, PRIMARY KEY (user_id, payment_id) ) ''') conn.commit() def save_payment(user_id, payment_id, amount, currency): with sqlite3.connect(DATABASE) as conn: cursor = conn.cursor() cursor.execute(''' INSERT INTO payments (user_id, payment_id, amount, currency) VALUES (?, ?, ?, ?) ''', (user_id, payment_id, amount, currency)) conn.commit()
Your bot is now set up to accept payments via Telegram Stars and send an image after a successful purchase. Make sure all settings and data in the configuration files are correct.
I’d appreciate it if you leave a reaction or comment! You can also find the complete source code on GitHub.
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