Python client for parsing SCOTUS cases from the granted/noted and orders dockets.
Project description
Getting started
pip install nyt-docket
Using nyt-docket
Demo app
Run the demo app.
python -m docket.demo
Modules
Use the docket loader manually from within your Python script.
Grants (new cases)
Grants are cases that have been granted certiorari and will be heard by the Court in this term. The most interesting thing about a grant, besides its existence, is the question the Court will be deciding. This is associated as a separate PDF file on the Court’s site but the parser attaches it to the case as a text blob.
from docket import grants
g = grants.Load()
g.scrape()
for case in g.cases:
print case.__dict__Slip opinions (decisions)
Slip opinions are decisions in cases the Court has either heard arguments on or has made a procedural decision on. These opinions are not final, but it’s the fastest way to know when the Court has acted on a case. The most important feature of a slip opinion is the opinion text, which is a separate PDF file. This is associated with the opinion as a hyperlink.
from docket import slipopinions
o = slipopinions.Load()
o.scrape()
for case in o.cases:
print case.__dict__Orders (all kinds of things)
Orders are the daily business of the Court. Denials of certiorari as well as various other procedural motions are resolved in the orders list. This plugin grabs the long orders list itself as a PDF link and then parses it out into individual cases. WARNING: The individual cases rely on regex and tomfoolery. The methods for parsing them are fragile, so YMMV.
from docket import orders
z = orders.Load()
z.scrape()
z.parse()
for order in z.orders:
print order.__dict__
for case in z.cases:
print "%s\t%s\t%s" % (case.docket, case.orders_type, case.casename)Release history Release notifications | RSS feed
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