Скачать или смотреть Automate LinkedIn Comments with Python | Full Tutorial + Safety

Learn how to build a safe, rate-limited LinkedIn comment auto-poster in Python. We’ll cover environment setup, login flows, comment scheduling, human-like delays, error handling, and best practices to avoid spam. This tutorial is designed for educational purposes and shows how to keep automation TOS-aware while focusing on quality engagement.

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What you’ll learn

Project structure & dependencies (Selenium/Playwright/Requests)

Secure credential handling (.env)

Comment templates, spintax & personalization

Smart delays, randomization & retry logic

Rate limits & daily caps to reduce risk

Logging, error handling & screenshots on failure

Scheduling comments with cron/Task Scheduler

Safety checklist to keep accounts healthy

Important Safety Note
This video is for education. Respect LinkedIn’s Terms of Service and local laws. Prefer official APIs where possible. Avoid spam, scraping private data, or high-frequency actions. Use low volume, unique comments, and prioritize real value.

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