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Bharath Kumar_30
Bharath Kumar_30

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Restarting Twitter Automation — Rethinking the Approach

Today I restarted my Twitter (X) automation journey.

Not emotionally.
Not out of frustration.

But with a clearer head.

Instead of repeating the same attempts, I decided to rethink the approach properly.

What I Focused on Today

I stopped trying random fixes and started analyzing the real situation.

The Twitter API free tier restricts posting access.
So even if authentication is correct, posting fails due to access level limitations.

That’s not a coding issue.

That’s a platform policy issue.

So today I explored two main directions:

  • Improving Selenium automation understanding
  • Exploring GitHub Actions (Git bot) for automation scheduling

Researching Selenium & Bot Detection

Earlier, when I used Selenium, Twitter displayed login issues and automation warnings.

So today I researched:

  • How platforms detect automated browsers
  • What browser fingerprinting means
  • Why automation flags trigger detection
  • Why “Chrome is being controlled by automated software” appears I realized that modern platforms are built to detect scripted behavior.

Even if the code is technically correct,
the system behavior might still be flagged.

That changed my thinking.

Instead of asking:

“How to avoid detection?”

I started asking:

“How to build automation responsibly?”

That’s a different mindset.

Exploring GitHub Bot Automation

Today I also explored GitHub Actions.

My idea was:

If live posting is restricted,
can I at least automate the system flow?

Using GitHub Actions (Git bot), I can:

  • Run scripts automatically
  • Rotate content from CSV
  • Maintain state using JSON
  • Commit changes automatically
  • Simulate posting The interesting part is:

GitHub automation works perfectly.
It is free.
It is reliable.

The only restriction is Twitter’s API tier — not my automation logic.

That gave me clarity.

The automation engine itself is solid.
The limitation is external.

Architecture Thinking

Today I focused more on system design than platform fighting.

Instead of forcing Twitter to work, I improved:

  • Modular structure
  • Platform-based class design
  • Separation of posting logic
  • State management system
  • Scheduled execution concept That is real backend thinking.

Because APIs can change.
Policies can change.

But good architecture remains stable.

What I Learned Today

  1. Not every error is a coding mistake.
  2. Platform access levels matter.
  3. Automation is both technical and policy-driven.
  4. GitHub Actions can power automation independently.
  5. System design is more important than quick hacks.

Today was not about making Twitter post.

It was about understanding the entire automation ecosystem.

What’s Next

Tomorrow, I’ll continue refining:

  • Modular platform integration
  • Cleaner automation flow
  • Stable execution strategy

I’m not trying to break the system.

I’m trying to understand it properly.

And that makes a big difference.

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