JMLR Python Web Scraper

• Web scraper built using Python 3 & the beautifulsoup4 web scraper library.
• Built specifically for The Journal of Machine Learning Research website/publication
  • (https://www.jmlr.org/).
• CURRENT STATUS: In progress.

Installation

• Python 3. (https://www.python.org/download/releases/3.0/)
• beautifulsoup4 (https://www.crummy.com/software/BeautifulSoup/)
• lxml (https://lxml.de/)

Use the package manager pip to install packages.

pip install beautifulsoup4
pip install lxml
pip install requests
pip install unidecode

Usage

• JMLR_scraper_FULL.py : For the entire scrape.
  • Titles, Abstracts, Abstract URLs, Authors, Keywords, Affiliations, Month of Publication, Volume URL, Journal Name, Year of Publication, Volume List, and Issue List.
• JMLR_scraper_VolumeX_abstract.py: Use to scrape just the abstracts of specific volumes(x).
• JMLR_scraper_VolumeX_abstractURL: Use to scrape just the abstracts URLs of specific volumes.
• Similar usage for the rest of the individual scrapers.

python JMLR_scraper_FULL.py

• Output is written onto csv files in the same directory as the program file:

JMLR_Volume_1.csv
JMLR_Volume_2.csv
...
etc.

Contributing

Created by Santosh Khadka skhadka.code@gmail.com 

Pull requests are welcome.

License

MIT