SEC Data in JSON Format: Working with Structured Filings

📰 Medium · Python

Learn to work with SEC data in JSON format, navigating XBRL endpoints and parsing nested units structure

intermediate Published 28 May 2026

Action Steps

Access the SEC XBRL endpoints to retrieve JSON data
Navigate the nested units structure in the JSON response
Build a minimal parsing pipeline using Python to extract relevant information
Use libraries like json or pandas to handle and manipulate the JSON data
Apply data analysis techniques to extract insights from the parsed data

Who Needs to Know This

Data scientists and financial analysts can benefit from this knowledge to extract insights from SEC filings, while software engineers can apply this to build applications that utilize SEC data

Key Insight

💡 Understanding the structure of SEC XBRL endpoints and parsing nested units is crucial for effective data analysis

Key Takeaways

Learn to work with SEC data in JSON format, navigating XBRL endpoints and parsing nested units structure

Full Article

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