📑 10-K Web Scraper

• The 10-K Web Scraper is a Python project that automatically fetches and extracts financial filings (10-K and 10-Q reports) from the SEC EDGAR database.

• 10-K filings are annual reports that publicly traded companies must submit to the SEC. They contain detailed insights about a company’s financial performance, risks, and operations. This scraper makes it easy to collect those filings programmatically for research, analysis, or data-driven projects.

 Features

• Fetch filings (10-K and 10-Q) using a company’s ticker or CIK 

• Parse and extract filing dates, types, and document links 

• Save structured data in CSV or JSON for analysis 

• Extendable for bulk downloads, NLP pipelines, or dashboards 

• SEC-compliant (includes headers with contact info & rate limiting)

Why This Matters

By automating SEC data collection, you can:

• Track company financials over time

• Run NLP analysis on risk disclosures

• Build investment dashboards powered by official filings

• Save countless hours of manual searching on EDGAR

Key Takeaway: This scraper makes financial data collection faster, smarter, and scalable for investors, researchers, and data scientists. 

For Source Code: