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Why I Stopped Using n8n and Wrote My Own Automation in Python

I've spent a lot of time building automation workflows. I've used Zapier, I’ve tinkered with IFTTT, and, for a while, I was a big fan of n8n. It's a fantastic tool, no doubt. But lately, I’ve found myself increasingly frustrated with its limitations, and it led me to a surprisingly satisfying conclusion: I stopped using n8n and started writing my own automation logic in Python. Let's be clear - this wasn't about hating n8n, it was about needing more control and efficiency for specific tasks.

The Problem with Pre-Built Workflows

n8n is brilliant for connecting common services - Google Sheets, Slack, Gmail, etc. – and creating simple, visual workflows. However, when you need something precise, something that deviates from the pre-built nodes, you hit a wall. I was building a system to automatically update a database with information extracted from a specific website, and n8n just wasn’t cutting it. The node complexity, the limitations on custom logic, and the occasional performance hiccups were becoming a significant time sink. It felt like I was constantly patching a system instead of building a robust solution.

A Simple Python Snippet

import requests
import sqlite3
def update_database(url, db_name, table_name, column_name):
try:
response = requests.get(url)
response.raise_for_status()  Raise HTTPError for bad responses (4xx or 5xx)
data = response.json()
conn = sqlite3.connect(db_name)
cursor = conn.cursor()
cursor.execute(f"INSERT INTO {table_name} ({column_name}) VALUES (?)", (data['value'],))
conn.commit()
conn.close()
except requests.exceptions.RequestException as e:
print(f"Request error: {e}")
except sqlite3.Error as e:
print(f"Database error: {e}")

This is a very basic example, but it demonstrates the core idea. It fetches data from a URL, parses it as JSON, and inserts it into an SQLite database. Notice the error handling – crucial for any real-world automation. The `response.raise_for_status()` line is particularly important; it ensures you don't silently proceed with invalid data.

Practical Results & Control

With this Python script, I had complete control. I could easily add more sophisticated data validation, handle different response formats, and integrate with any database system I preferred. The performance was noticeably better, and I wasn’t reliant on n8n’s node performance. I was able to build a highly tailored solution that perfectly fit my needs.

Conclusion & Next Steps

Don’t get me wrong, n8n is a great tool. But sometimes, the best solutions are built from the ground up. If you find yourself constantly wrestling with n8n’s limitations, consider exploring custom scripting – particularly with Python. It gives you unparalleled control and flexibility.

If you're struggling with complex automation needs and want to ensure your systems are running smoothly and securely, book a consultation with me. I specialize in IT audits and automation strategy. Let's discuss how to optimize your workflows.

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Itelnet Consulting