SEC 10-K Parsing

Going to this website: [login to view URL], we can enter in company tickers into the "Fast Search" menu to find financial information on the company. For example, we can type in "AAPL" to find information about Apple Inc. We can then filter filing type by "10-k" and open the most recent document by clicking "Documents" on the top result, then open the link for the first document listed. This opens an htm file of the 10-k filing. The filing is separated into sections, typically starting with "Item 1", then "Item 1A", "Item 1B", etc. I would like a python script which outputs each section's strings in some standard data format (ex pandas dataframe). This script must work for any company. The following companies should be used for basic testing: AAPL, BA, DIS, F, GE, GM, GOOG, GS, JPM, MMM, MU, NVDA, SQ, V, WMT, XOM.