What do you want to automate
with Telegram and Python?
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Popular Ways to Connect Telegram with Python#
Popular Telegram and Python Triggers#
Emit new event each time a Telegram Bot command is received.
Emit new event each time a channel post is created or updated.
Emit new event each time a Telegram message is created or updated.
Popular Telegram and Python Actions#
Create an additional invite link for a chat, See the docs for more information
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Edits photo or video messages. See the docs for more information
Edits text or game messages. See the docs for more information
Overview of Telegram#
The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.
Connect Telegram#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
telegram_bot_api: {
type: "app",
app: "telegram_bot_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.telegram.org/bot${this.telegram_bot_api.$auth.token}/getMe`,
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies