Iterative webscraping and text extraction into Pandas format

I would like to download 7 years of data from a courts website

I want all the data that is initially offered on a case (name, court, judgment, etc); as well as some data that may be in a document within each case. Only 200 case results can be returned at a time, so there will be substantial iterative searching. The deliverable should be in Pandas.

There is a recaptcha I am not a robot check box on the initial search.

Search bar does allow wild cards. Format for searching a given year is DC-year-_ _ _ _ _ (five digit case number). Only searching for closed cases. Iterative searching for DC-year-_ _ _ _ _ in 200 case increments seems to make the most sense. Only need certain types of cases, but each case needs to be opened and scraped for data.

Following results would be needed: cause number (i.e. DC-year-_ _ _ _ _), case type, location (court), filing date, end date, judgment amount, type of case.
About the recuiter
Member since May 20, 2018
Dharmawan Dharm
from Wiltshire, United Kingdom

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