Building the future for benefits tracking
📰 Dev.to · Dylen Belanger
Learn from a product builder's experience with scraping insurance portals and the challenges of building robust solutions
Action Steps
- Build a web scraper using Python and BeautifulSoup to extract data from insurance portals
- Configure a scheduler like Apache Airflow to run the scraper monthly
- Test the scraper's resilience to portal changes and failures
- Apply error handling and logging mechanisms to ensure data integrity
- Compare different data storage solutions for benefits tracking, such as relational databases or NoSQL databases
Who Needs to Know This
Product managers, software engineers, and DevOps teams can benefit from understanding the complexities of building scalable and reliable products, especially when dealing with external data sources like insurance portals
Key Insight
💡 Building hard things requires anticipating and adapting to failures, especially when dealing with external data sources
Share This
🚀 Building robust products that scrape external data sources? Learn from my experience with insurance portals! 📊
Key Takeaways
Learn from a product builder's experience with scraping insurance portals and the challenges of building robust solutions
Full Article
A product that scrapes insurance portals every month, and the failures that taught me about building hard things.
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