Normalizing Flight Statuses Across 7 Languages: What I Learned Building a Global Airport API
📰 Dev.to · José Catalá
Learn how to normalize flight statuses across multiple languages for a global airport API
Action Steps
- Scrape flight data from airport websites using web scraping tools like Beautiful Soup or Scrapy
- Use machine translation APIs like Google Translate to translate flight statuses into a standard language
- Apply natural language processing techniques like tokenization and stemming to normalize translated statuses
- Create a dictionary or mapping of normalized statuses across different languages
- Test and refine the normalization process using a dataset of diverse flight statuses
Who Needs to Know This
Developers and data engineers working on global APIs can benefit from this lesson to improve data consistency and accuracy
Key Insight
💡 Normalizing flight statuses across languages requires a combination of web scraping, machine translation, and natural language processing techniques
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🛫️ Normalize flight statuses across 7 languages for a seamless global airport API experience! 🚀
Key Takeaways
Learn how to normalize flight statuses across multiple languages for a global airport API
Full Article
When you scrape flight data from airport websites across 85+ countries, you quickly discover that...
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