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Channel Updates (Instant) from Telegram Bot API

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Channel Updates (Instant) from the Telegram Bot API
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Getting Started

Trigger a workflow on Channel Updates (Instant) with Telegram Bot API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Channel Updates (Instant) trigger
    1. Connect your Telegram Bot account
  2. Add steps to connect to + APIs using code and no-code building blocks
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Details

This is a pre-built, open source component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Channel Updates (Instant) on Telegram Bot
Description:Emit new event each time a channel message is created or updated.
Version:0.0.1
Key:telegram_bot_api-channel-updates

Code

// eslint-disable-next-line camelcase
const telegram_bot_api = require("../../telegram_bot_api.app.js");

module.exports = {
  type: "source",
  key: "telegram_bot_api-channel-updates",
  name: "Channel Updates (Instant)",
  description: "Emit new event each time a channel message is created or updated.",
  version: "0.0.1",
  dedupe: "unique",
  props: {
    db: "$.service.db",
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    telegram_bot_api,
  },
  hooks: {
    async activate() {
      await this.telegram_bot_api.createHook(this.http.endpoint, [
        "channel_post",
        "edited_channel_post",
      ]);
    },
    async deactivate() {
      await this.telegram_bot_api.deleteHook();
    },
  },
  async run(event) {
    if ((event.path).substring(1) !== this.telegram_bot_api.$auth.token) {
      return;
    }
    this.http.respond({
      status: 200,
    });
    const { body } = event;
    if (!body) {
      return;
    }
    this.$emit(body,
      {
        id: body.update_id,
        summary: `${body.channel_post.chat.title} - ${body.channel_post.text}`,
        ts: Date.now(),
      });
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
Telegram Bottelegram_bot_apiappThis component uses the Telegram Bot app.

Authentication

Telegram Bot uses API keys for authentication. When you connect your Telegram Bot account, Pipedream securely stores the keys so you can easily authenticate to Telegram Bot APIs in both code and no-code steps.

To use the Telegram Bot API, you must first create a new bot by chatting with the BotFather.

At the end of that process, you'll receive a token to authorize requests for your bot. Add that token below.

About Telegram Bot

Telegram is a cloud-based instant messaging and voice over IP service

About Pipedream

Stop writing boilerplate code, struggling with authentication and managing infrastructure. Start connecting APIs with code-level control when you need it — and no code when you don't.

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Powerful features that scale
Manage concurrency and execution rate
Manage concurrency and execution rate

Queue up to 10,000 events per workfow and manage the concurrency and rate at which workflows are triggered.

Process large payloads up to 5 terabytes
Process large payloads up to 5 terabytes

Large file support enables you to trigger workflows with any data (e.g., large JSON files, images and videos) up to 5 terabytes.

Return custom responses to HTTP requests
Return custom responses to HTTP requests

Return any JSON-serializable response from an HTTP triggered workflow using $respond().

Use most npm packages
Use most npm packages

To use any npm package, just require() it -- there's no npm install or package.json required.

Maintain state between executions
Maintain state between executions

Use $checkpoint to save state in one workflow invocation and read it the next time your workflow runs.

Pass data between steps
Pass data between steps

Return data from any step to inspect it in a human-friendly way and reference the data in future steps via the steps object.