I Built a Python Probe That Scrapes Zenn's Hidden Stats API and Commits PV Numbers to SQLite Every Hour (and Crashes on Purpose)
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Learn to scrape hidden API stats and store them in SQLite using Python, to gain insights into your Zenn post performance
Action Steps
- Build a Python script to scrape Zenn's hidden stats API using requests and BeautifulSoup
- Configure the script to commit pageview numbers to an SQLite database every hour using sqlite3
- Implement error handling to intentionally crash the script and restart it after a set period
- Test the script to ensure it runs smoothly and accurately records pageview data
- Apply this technique to other platforms with hidden API stats to gain valuable insights
Who Needs to Know This
Developers and data analysts can benefit from this technique to track and analyze post performance on Zenn, and make data-driven decisions
Key Insight
💡 You can use Python to scrape hidden API stats and gain valuable insights into your post performance on Zenn
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🚀 Scrape hidden API stats & store in SQLite using Python! 📊
Key Takeaways
Learn to scrape hidden API stats and store them in SQLite using Python, to gain insights into your Zenn post performance
Full Article
If you ship technical posts on Zenn, you already know the pain: the dashboard shows pageviews, but...
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