gcl

This package provides a scraper/parser for Google case law pages available at https://scholar.google.com/.

The offered features include scraping, parsing, serializing, and tagging important data such as bluebook citations, judge names, courts, decision dates, case numbers, patents in suit, cited claims, footnotes, etc.

Getting started

Install

After cloning the GitHub repo gcl, you should go to the directory where the repository is downloaded, create a virtual Python environment, and run the following command in the terminal:

pip install .

to install the package. Make sure that once selenium is installed, you have the Chrome driver installed as well. For macOS, we can do this by executing the following command in the terminal:

brew install chromedriver --cask

Test

To run gcl's test unit, just run the following command:

python -m unittest discover

Try

To scrape and download a case law page, let us choose a case law page,

https://scholar.google.com/scholar_case?case=9862061449582190482

and use the following snippet to get things started:

from gcl.main import GCLParse

GCL = GCLParse(data_dir="/users/.../gcl_test", suffix="test_v1")

case_law_url = "https://scholar.google.com/scholar_case?case=9862061449582190482"

GCL.gcl_parse(case_law_url, skip_patent=False, return_data=False, need_proxy=False, random_sleep=False)

Running this code will save a JSON file 9862061449582190482.json under the directory /users/.../gcl_test/data/json/json_test_v1 with the following data structure:

{   
    "id": null,
    "full_case_name": null,
    "case_numbers": [],
    "citation": null,
    "short_citation": [],
    "first_page": null,
    "last_page": null,
    "cites_to": {},
    "date": null,
    "court": {},
    "judges": [],
    "personal_opinions": {},
    "patents_in_suit": [],
    "html": null,
    "training_text": null,
    "footnotes": []
}

Note: need_proxy is advised to be set to False for now since it is still experimental and therefore not recommended to be turned on in this preliminary version. This has the caveat that we cannot run the GCL instance in parallel to make multiple queries to Google Scholar as your IP will be temporarily blocked. In the next version, we will make multiple parallel queries operational.