Crosscholar is an application that collects scholarly data from Google Scholar and Crossref.
It's a command line scraper made with python that queries and parses Google Scholar's output crossing each record with crossref. This project is inspired by PyScholar(https://github.com/dnlcrl/PyScholar), and until now, is able to scrap Google Scholar more than 10 hours in a row, without being banned.
- Free software: MIT License
- Gets a list of authors related to a query string.
- For each author, gets data like name and citations distributed in the time.
- Also for each author, extracts the data related to each work.
- When getting work's data, the program connects to crossref to verify the record and get the DOI number.
- Each work is retrieved with title, total citations, citations distribution, wos citations, publisher, authors, work type, volume, issue and page, when the information is available.
- Writting a command line tool.
- Improve code quality.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.