Last updated November 17, 2021

Add the Telegram Messaging API to your React application

By Joseph Udonsak

Learn how to use Telegram for sending notifications


This guide contains code examples for an older version of Sanity Studio (v2), which is deprecated.

Learn how to migrate to the new Studio v3 →


Telegram is one of the most popular messaging apps and probably the most loved by developers. By championing privacy in a time where it seems increasingly elusive, Telegram has seen its popularity soar - crossing the 500 million monthly active users mark in the first quarter of 2021. This makes it a viable notification medium for web applications - seeing as it is also available on the app store for android and iOS devices. Additionally, being open source and providing a developer-friendly API, integrating a Telegram-based messaging feature on your application is relatively easier than other popular messaging applications.

In this guide, I will show you how to integrate Telegram messaging into your React application. Using Sanity to provide movie content, we will use Telegram to send ourselves movie information- for further research and possibly an outing to the cinema 🙂. The app we will build (and its messaging functionality) is shown in the gif below.

Gif showing a user click on the "share details" button and receiving a Telegram message with the movie details

The code for the complete project is available on Github should you get stuck at any point.


Since we'll be working with Telegram, you need to be signed up and have a Telegram app (either mobile or desktop) running.

To keep up with the concepts that will be introduced in this article, you will need a fair grasp of Javascript ES6. You will also need to have an understanding of some basic React concepts like hooks and functional components.

You will also need to have the following installed on your workstation:

  1. An up to date installation of node.js and Node Package Manager (NPM)
  2. Sanity CLI
  3. A code editor of your choice

Setting up a Telegram bot

The first thing we need to do is set up a Telegram bot. A ‘bot’ – short for robot – is a software program that performs automated, repetitive, pre-defined tasks. In our case, the bot sends messages with movie content.

Surprise surprise, there's a bot for creating and managing Telegram bots. His name is the botfather. To create a Telegram bot, send /newbot to the botfather. The next thing to do is select a bot name (which has to be unique) and you will receive an API token.

Screenshot of interaction with the botfather to set up new bot

With your API token, you can track updates (i.e. activity related to your bot) including when messages are sent to your bot. To do this, visit the URL[TOKEN]/getUpdates where TOKEN is the token given to you by the botfather.

Getting your unique id

Telegram has a different system for identifying users - deviating from phone numbers or email addresses as a unique identifier. To send messages to a user, we need the user id. The simplest way to get our chat id is by starting a conversation with our bot and checking for the chat id in the getUpdates URL. To start a conversation with your bot, visit the URL[BOT_USERNAME]/start where BOT_USERNAME refers to the username for your Telegram bot. You will be directed to the Telegram app where you will see something similar to the screenshot below.

Starting a conversation with the newly created bot

Click the START button to start a conversation with your bot. Back in the getUpdates URL, you'll see a new update.

List of updates showing the conversation we just started with our bot

In the from node, we can see the id of the message sender. Make a note of the displayed id as we'll use this later on.

Get user id via Deep Linking

It doesn't stop there, however. While this is extracurricular in the context of this article, it is also possible to get our user id or that of others via Telegram's deep linking mechanism. By adding a start query parameter to your bot URL ([BOT_USERNAME]), you can identify users on your system and get their Telegram user ID. This can be done via the following steps:

  1. Assign a unique, random string to the user.
  2. Present a start URL for the user to click ([BOT_USERNAME]?start=[UNIQUE_STRING]) where UNIQUE_STRING represents the string generated in step 1.
  3. Poll the getUpdates URL and filter the results for a message update with text /start [UNIQUE_STRING]. An implementation in Javascript is shown below.
const getBotUpdates = () =>
  ).then((response) => response.json());

const getUserTelegramId = async (uniqueString) => {
  const { result } = await getBotUpdates();

  const messageUpdates = result.filter(
    ({ message }) => message?.text !== undefined

  const userUpdate = messageUpdates.find(
    ({ message }) => message.text === `/start ${uniqueString}`


This id can be saved for the user in the database and used anytime a notification is to be sent via Telegram.

For this article, however, we will not use deep linking as we only want to send messages to ourselves.

Sending a notification

Sending a notification is as simple as sending a GET request to[TOKEN]/sendMessage with chat_id and text as the query parameters. Remember, TOKEN is the token given to you by the botfather. Optionally, you can also include a third query parameter, parse_mode that allows you to send HTML or Markdown content to the recipient.

To see this in action, open the URL[TOKEN]/sendMessage?chat_id=[USER_ID]&text=Hello%20from%20your%20new%20bot in your browser where token is the token given to you by the botfather and USER_ID is the id of the message sender you copied earlier. You will see a response similar to the screenshot below.

Success response from Telegram bot confirming that the notification has been sent

Meanwhile, in your Telegram app, you will have received a message from your bot.

Telegram notification from newly created bot

Building the movie application

Having understood the process of setting up a telegram bot and sending a notification via Telegram, let's see how we can use this in an application. Let's build an application to display the latest movies, along with actors and upcoming screenings. We'll use Next.js for this tutorial. Next.js is a framework built on React.js which provides several extra features, including server-side rendering and generating static websites. Create a new project using the following command.

npx create-next-app telegram-react

For content management, we'll be using Sanity. Let's initialise a new Sanity project. To do this, we'll create a new folder called studio and initialise the project using the sanity init command.

cd telegram-react

mkdir studio

sanity init

Respond to the CLI prompts as shown below.

? Select project to use: Create new project
? Your project name: telegram-react
? Select dataset to use: production
? Project output path: telegram-react/studio
? Select project template: Movie project (schema + sample data)
? Add a sampling of sci-fi movies to your dataset on the hosted backend? Yes

Add project dependencies

Once the Sanity CLI completes the setup process, we can add the dependencies for our project.

To interact with the Sanity backend, we'll use the toolkit for NextJs, sanity-next. Add it using the following command.

npm i next-sanity

For styling our pages, we'll use Chakra UI, a simple, modular, and accessible component library that gives you the building blocks you need to build your React applications. Add Chakra and its dependencies using the following command.

npm i @chakra-ui/react @emotion/react@^11 @emotion/styled@^11 framer-motion@^4

While we're developing, we'll need the sanity CLI installed. Additionally, we need to run our next application and sanity studio simultaneously. We can do that using the concurrently package. Install both of them using the command below.

npm i --save-dev @sanity/cli concurrently

Finally, modify the scripts node in package.json to match the following.

"scripts": {
    "dev": "concurrently \"next\" \"cd studio && sanity start\"",
    "build": "echo 'Building Sanity to public/studio…' && cd studio && sanity build ../public/studio -y && cd .. && next build",
    "start": "next start",
    "lint": "next lint"

Set up Chakra

To inject Chakra into our application, we need to update the pages/_app.js file and inject the ChakraProvider. Open pages/_app.js (you can create the file if it doesn't exist) and add the following.

import '../styles/globals.css'
import {ChakraProvider, Container} from "@chakra-ui/react";

function MyApp({Component, pageProps}) {
    return (
            <Container maxW='container.xl' centerContent>
                <Component {...pageProps} />

export default MyApp

Set environment variables

Next, we'll set environment variables so we can safely load the credentials we need to interact with Telegram and sanity. Create a new file called .env.local and add the following to the env file.

# Telegram
TELEGRAM_BOT_TOKEN = "your_telegram_bot_token"
TELEGRAM_USER_ID = "your_telegram_user_id"

# For Next Locally

Write utility functions

Before we build the pages of our application, let's write some utility functions that will help us with tasks like making requests to Sanity, formatting data, or making API requests. Create a new folder at the root of your project named utility.

Next, create a new file called api.js in the utility directory. This file will contain a helper function for making API requests. In this file add the following code.

export const makePostRequest = (url, details) => {
    return fetch(url,
            method: "POST",
            headers: {
                "Content-Type": "application/json",
            body: JSON.stringify(details),
        .then((response) => response.json());

Here, we declare a function named makePostRequest which takes the endpoint URL and the values of the POST request and uses Fetch to send a POST request accordingly. The function returns a promise which resolves to the JSON content of the API response.

Next, create a new file called telegram.js in the utility directory. This file will contain a helper function that will help us to interact with the Telegram Bot API easily. In this file add the following code.

import {makePostRequest} from "./api";

const telegramBotKey = process.env.TELEGRAM_BOT_TOKEN;
const chat_id = process.env.TELEGRAM_USER_ID;

export const sendNotification = async (text, parse_mode) => {
    const endpoint = `${telegramBotKey}/sendMessage`;
    await makePostRequest(endpoint,

The sendNotification function takes the text of the notification and the mode which Telegram should use in parsing it. For this guide, we will use HTML formatted text. You can read more about formatting options for Telegram messages here.

Next, create a new file called objectFormat.js in the utility directory. This file will contain a helper function that we can use to generate the appropriate HTML formatted text for Telegram requests based on the provided object. In this file, add the following code.

const capitalize = (input) =>

const capitalizeKey = (input) =>
    input.split(/(?=[A-Z])/).map(word => capitalize(word)).join(' ');

const newLineToken = '\n';

const lineBreak = newLineToken.repeat(2);

const formatTitle = title => `<b><i>${title}</i></b>`;

const formatArray = childArray =>, index) => `${index + 1}. ${child}`).join(newLineToken);

const formatEntry = ([key, value]) => {

    const formattedTitle = formatTitle(capitalizeKey(key));
    const formattedBody = Array.isArray(value) ? formatArray(value) : value;

    return `${formattedTitle}${newLineToken}${formattedBody}`;

export const toHtmlFormat = (title, body) => {

    const formattedTitle = formatTitle(title);
    const formattedBody = Object.entries(body).map(formatEntry).join(lineBreak);

    return `${formattedTitle}${lineBreak}${formattedBody}`;

The toHtmlFormat function takes the title (the content of the first line of the formatted text) and the body (which is an object). It maps through the object, capitalises the object keys, and then returns the key formatted as a title and the value of the object underneath.

If the value of a key is an array, the formatArray function is used to iterate through each member of the array and format each child. This function is naive in the sense that it assumes that the array provided is comprised only of strings.

Next, create a new file called dateFormat.js in the utility directory. This file will contain a helper function that will allow us to present dates in a human-readable format. In it add the following code.

export const formatDate = date =>
    new Date(date).toLocaleString('en-GB', {
        month: 'long',
        weekday: 'long',
        day: 'numeric',
        year: 'numeric'

Finally, we need helper functions to ease the interaction with our Sanity backend as well as provide assistance with Sanity image resources and portable text serialisation. Create a new file called sanity.js in the utility directory. In it, add the following code.

import {createClient, createImageUrlBuilder, createPortableTextComponent,} from "next-sanity";

const config = {
    dataset: process.env.NEXT_PUBLIC_SANITY_DATASET,
    projectId: process.env.NEXT_PUBLIC_SANITY_PROJECT_ID,
    useCdn: process.env.NODE_ENV === "production",
    apiVersion: '2021-10-12' 

if (!config.projectId) {
    throw Error("The Project ID is not set. Check your environment variables.");

if (!config.dataset) {
    throw Error("The dataset name is not set. Check your environment variables.");

export const urlFor = (source) => createImageUrlBuilder(config).image(source);

export const PortableText = createPortableTextComponent({
    serializers: {},

export const sanityClient = createClient(config);

The urlFor helper function will be used for generating image URLs with only the asset reference data in your documents.

The PortableText constant returns a component that we can use to render block content from Sanity Studio. In this guide, we'll be using it to render the overview of a movie.

The sanityClient is used for fetching data in the getProps page functions.

With our Utility functions in place, let's build our components.

Build page components

Build the MovieCard component

In the components directory, create a new file called MovieCard.js. When we display the movies in a grid, each movie will be rendered with the MovieCard component. In the components/MovieCard.js file, add the following.

import React from "react";
import {Box, Image} from "@chakra-ui/react";
import {urlFor} from "../utility/sanity";
import Link from 'next/link';
import {formatDate} from "../utility/dateFormat";

const MovieCard = ({_id, title, poster, releaseDate, slug}) => {

    return (
        <Link href={`/movies/${slug.current}`}>
                        alt={`${title} movie poster`}
                    <Box p='6'>

                            Released on {formatDate(releaseDate)}


export default MovieCard;

This component destructures the movie which it receives as a prop and renders the movie poster (using the urlFor helper function we created earlier), the title, and the release date (formatted using the formatDate helper function we created earlier).

Build the MoviesPage component

In the components directory, create a new file called MoviesPage.js and add the following code to it.

import React from "react";
import {SimpleGrid} from "@chakra-ui/react";
import MovieCard from "./MovieCard";

const MoviesPage = ({movies}) => {

    return (
        <SimpleGrid columns={4} spacing={20} padding='10'>
            { => (
                <MovieCard key={movie._id} {}/>


export default MoviesPage;

This component renders the movies passed as a prop in a grid with 4 columns. Each movie is rendered using the MovieCard component we created earlier.

Build the Team component

In the components directory, create a new file called Team.js. This component will be used to render teams (either the crew members or the cast of a movie). Add the following code to the component.

import React from "react";
import {urlFor} from "../utility/sanity";
import {Box, Image, SimpleGrid} from "@chakra-ui/react";

const Team = ({members, isCast}) => {

    const defaultImageUrl = "";

    return (
        <SimpleGrid columns={3} spacing={10} padding='5'>
            { => {
                const {name, _key, image} = member.person;
                const imageUrl = image ? urlFor(image).width(50).height(50) :
                const extra = isCast ? member.characterName : member.job;

                return (
                    <Box key={_key}>
                        <Box key={1}>{name}</Box>


export default Team;

The Team component takes two props - the members of the team and a boolean variable named isCast which represents whether or not the team to be rendered is the cast of the team.

Build the MoviePage component

In the components directory, create a new file called MoviePage.js and add the following code to it. This should not be confused with the MoviesPage.js component we built earlier. This component is rendered when a movie card is clicked. It takes a movie as a prop and renders the movie details. It also adds a button which when clicked, shares the movie details via Telegram.

import React, {useState} from "react";
import {
} from "@chakra-ui/react";
import {PortableText, urlFor} from "../utility/sanity";
import Link from 'next/link';
import Team from "./Team";
import {toHtmlFormat} from "../utility/objectFormat";
import {formatDate} from "../utility/dateFormat";
import {makePostRequest} from "../utility/api";

const MoviePage = ({movie}) => {
    const [shouldShowAlert, setShouldShowAlert] = useState(false);
    const [alertContent, setAlertContent] = useState(null);

    const hideAlert = () => {

    const formattedReleaseDate = formatDate(movie.releaseDate);

    const getDetailsFromCastMember = ({characterName, person}) =>
        `${} as ${characterName}`;

    const getDetailsFromCrewMember = ({job, person}) =>
        `${} - ${job}`;

    const sendMovieInfoToUser = async () => {
        const {cast, crew, popularity, overview, title} = movie;
        const detailsToSend = {
            releaseDate: formattedReleaseDate,
            summary: overview[0].children[0].text

        const response = await makePostRequest("/api/share", {
            text: toHtmlFormat(title, detailsToSend),
            parseMode: 'html'

        setTimeout(hideAlert, 3000);

    return (
        <Stack spacing={3} padding='10'>
            {shouldShowAlert && (
                <Alert status="success">

            <Box maxW="3xl" borderRadius="lg" overflow="hidden">
                        <Link href="/">

                    <BreadcrumbItem isCurrentPage>

                    <Heading as='h1'>{movie.title}</Heading>

                    <Box p='6'>
                            alt={`${movie.title} movie poster`}

                        <Center mt={2}>
                                    Released on {formattedReleaseDate}

                                    Popularity: {movie.popularity}

                                        Share details via Telegram



                    <Heading as='h3' size='lg'>Overview</Heading>
                    <PortableText blocks={movie.overview}/>

                <Box pt='10'>
                    <Heading as='h3' size='lg'>Cast</Heading>
                    <Team members={movie.cast} isCast={true}/>

                <Box pt='10'>
                    <Heading as='h3' size='lg'>Crew</Heading>
                    <Team members={movie.crew} isCast={false}/>



export default MoviePage;

Build the Share endpoint

In the MoviePage component, we make a request to api/share to send the movie details, let's create a handler for this endpoint. We can do this in our current project as Next.js provides a solution for us to build APIs with it.

In the pages/api folder, create a new file called share.js. In it, add the following code.

import {sendNotification} from "../../utility/telegram";

const handler = async (request, response) => {
    switch (request.method) {
        case "POST":
            const {text, parseMode} = request.body;
            await sendNotification(text, parseMode);
                .json({message: 'Details shared successfully'});
                .end("This method is not allowed for this route.");

export default handler;

This route only accepts POST requests. When such a request is received, we retrieve the text and parse mode from the request, and using the sendNotification helper function we declared earlier, we send the details to our Telegram bot and eventually us!!

Build pages

The last thing to do is build the pages for the application. The application will have two pages - the index page which shows all the movies and the movie page which displays the information for a single movie.

Update the pages/index.js file to match the following.

import {sanityClient} from "../utility/sanity";
import MoviesPage from "../components/MoviesPage";
import {groq} from "next-sanity";

const query = groq`*[_type == "movie" && defined(slug.current)]`;

const Home = ({movies}) => {
    return (
        <MoviesPage movies={movies}/>

export const getStaticProps = async () => {
    const movies = await sanityClient.fetch(query);
    return {
        props: {

export default Home;

In the getStaticProps we fetch all the movies with a defined slug from the backend, this is passed as a prop the MoviesPage component we created earlier.

Next in the pages directory, create a new folder called movies. In the movies folder, create a new file called [slug].js. By taking advantage of Next.JS's file-based router system, this folder and file naming structure will allow us requests to the URL /movies/{slug} where slug corresponds to the slug of the selected movie. Add the following code to pages/movies/[slug].js.

import {sanityClient} from "../../utility/sanity";
import {groq} from "next-sanity";
import {useRouter} from "next/router";
import Error from "next/error";
import MoviePage from "../../components/MoviePage";

const query = groq`*[_type == "movie" && slug.current == $slug][0]{
  releaseDate, overview, popularity, poster, title, slug,
  'crew': crewMembers[]{_key, department, job, person->{_id, name, image}},
  'cast': castMembers[]{_key, characterName, person->{_id, name, image}}

const MoviePageContainer = ({movie}) => {
    const router = useRouter();
    if (!(router.isFallback || movie?.slug)) {
        return <Error statusCode={404}/>;

    return <MoviePage movie={movie}/>;

export const getStaticProps = async ({params}) => {
    const movie = await sanityClient.fetch(query, {
        slug: params.slug,

    return {
        props: {movie},

export const getStaticPaths = async () => {
    const paths = await sanityClient.fetch(
        `*[_type == "movie" && defined(slug.current)][].slug.current`

    return {
        paths: => ({params: {slug}})),
        fallback: true,

export default MoviePageContainer;

With that in place, our application is ready to go! Run the application using the following command.

npm run dev

Navigate to http://localhost:3000/ to see your application in action.

Index page showing movies loaded from Sanity backend

Click on a movie card to display more details of the movie and you can also send the details to yourself via Telegram. Nice!!!

Movie page showing movie details and button to share details via Telegram


In this guide, we saw how telegram can be integrated into a react app, walking through the process of creating a bot to sending a message to a telegram user via the Telegram Bot API. We also saw how to connect our application to Sanity studio for content management.

Sending notifications is just a tip of what developers can take advantage of. Telegram also offers tdlib (Telegram Database Library), a cross-platform, fully functional Telegram client which allows anyone to build their own custom messaging apps operating in the Telegram cloud.

The code for the complete project is available on Github should you get stuck at any point.

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