get_scholarly_instance() - Python

get_scholarly_instance() is a Python function that helps in retrieving data from Google Scholar using the scholarly package. This package is a web scraper that allows users to fetch data related to academic publications, authors, citations, and more.

The function can be used to create an instance of scholarly that can be used to query and filter data from Google Scholar. It is an efficient and open-source tool that benefits researchers, writers, and students worldwide.

Getting Started

To use get_scholarly_instance(), you will need to install the scholarly package. You can do this by running the following command:

pip install scholarly

Once installed, you can use the get_scholarly_instance() function to create an instance of scholarly as follows:

import scholarly

def get_scholarly_instance():
    return scholarly

Usage

Once you have created an instance of scholarly, you can use the various methods provided to fetch data from Google Scholar. For instance, consider the following example:

search_query = scholarly.search_author('Albert Einstein')
author = next(search_query).fill()
print(author)

This code fetches the first search result for the query 'Albert Einstein' and then populates the author object with data for that result. The data is printed to the console.

Similarly, you can search for papers, articles, citations or configure your search parameters, using the methods provided by scholarly.

Conclusion

get_scholarly_instance() is a powerful tool that provides an easy way to retrieve data from Google Scholar. It can help researchers, writers, and students to access data for a range of academic purposes. With scholarly, anyone can harness the power of web scraping to fetch data related to academic publications, authors, citations, and more.