The perfect Telegram content parser with n8n
🚀 Everyone who works with Telegram channels faces the same problem: how to quickly collect relevant posts and clean them of junk and ads.
This parser solves this problem completely: it automatically extracts posts from channels, removes duplicates, removes ads, and saves only clean content in a convenient Airtable database for further analysis or publication.
🔹 What this parser does:
Connects to the API and retrieves the latest messages from Telegram channels
Checks the uniqueness of posts using a text hash
Removes spam, links to other channels, and ads
Saves clean texts, views, links, and media in Airtable
Marks ad posts with a special "AD" status
(Planned) — AI text processing with OpenAI for automatic rewriting
⚙️ Tools used:
🧩 n8n — visual automation designer
📦 Airtable — database for storing posts
💬 Telegram API — content source
🤖 JavaScript Code Nodes — filtering and logic
🧠 OpenAI Node (optional) — rewriting texts for Telegram
🧠 Useful if you:
Run a Telegram channel and want to quickly collect content
Do Post monitoring or ad analysis
Want to learn n8n and see a real-world Airtable project example?
Looking for an idea for your own automated content parser?
⛔️ For collaboration inquiries, please contact us on Telegram: https://t.me/Aleksandr03061989
🚀 Install n8n on your server (Beget):
https://beget.com/p2369657
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📢 Telegram channel with announcements: https://t.me/N8N_automatisation
🤖 ChatGPT without registering on our website:
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📚 SELECTION OF USEFUL TELEGRAM CHANNELS
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Ask any questions in the comments – I'll be sure to help and answer!
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⏰ TIMESTAMPS:
00:09 - Overview of the Telegram channel parser and reposting module
00:54 - AI-powered text modification using OpenAI
01:15 - Script capabilities: parsing videos, photos, text, and links
02:21 - Why watermarks are disabled
03:58 - Starting the process and working with channels
04:46 - Filtering duplicates using hash code
06:11 - How AI makes messages original
06:42 - Writing to a table and links to media files
07:36 - Comparison of the original and modified post
08:23 - Where to get the script for free
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