Automated LinkedIn to Telegram Integration for Prescription Management

This workflow automates the process of extracting relevant healthcare insights from LinkedIn and delivering them directly to Telegram, enhancing communication and decision-making in prescription management. By leveraging the powerful capabilities ...

n8n

This workflow automates the process of extracting relevant healthcare insights from LinkedIn and delivering them directly to Telegram, enhancing communication and decision-making in prescription management. By leveraging the powerful capabilities of n8n, this automation ensures that healthcare professionals receive timely updates and important information without manual intervention. The integration not only saves time but also minimizes the risk of missing critical updates that could impact patient care.

The workflow starts by crawling the Hacker News homepage, fetching the latest discussions and trends related to healthcare. After gathering the data, it extracts relevant metadata using Python scripts, specifically targeting posts that pertain to prescription management. This metadata is then formatted and sent to a designated Telegram channel, where healthcare professionals can easily access and discuss the information in real-time.

This automated solution is particularly beneficial for healthcare teams looking to stay informed about the latest developments in prescription practices and patient management. By receiving curated content directly in their messaging platform, professionals can quickly adapt to changes and make informed decisions that enhance patient outcomes. Overall, the integration of LinkedIn insights into Telegram provides a streamlined approach to managing healthcare information efficiently and effectively.

$13.48
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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