How to Parse 10-K Report from EDGAR (SEC)

parsing10k.ipynb

Thanks for this! I've followed the steps to get historic numeric data and made a free API in case anyone else wants the data for training AI etc.
https://rapidapi.com/alexventisei2/api/sec-api2

i think the line below assumes same number of entries for all items, which is not necessarily the case for example nyt. in that case there are more item 1A items then 1B and the approach does not work. I would also add re.IGNORECASE to the re.compile

pos_dat = test_df.sort_values('start', ascending=True).drop_duplicates(subset=['item'], keep='last')

This was very helpful, thank you for taking the time to post this

Amazing! Thanks for sharing.

i have Html url i dont know how to get txt url of 10k file after that I am able to use above notebook code

any one can help me please

Jesus, you saved my life!