WoS Extractor: extract data about a query in the Web of Science.
WoS Extractor minimizes the time spent in the academic research process for the construction of a theoretical framework.
pip install -r requirements.txt
This version is based in Windows 10 system. To others systems, access the link below.
Chrome Driver: https://chromedriver.chromium.org/downloads
The Jupyter Notebook wos_extractor.ipynb
contains a vignette with an example.
from WoSExtractor import *
# You'll need to insert the path to a browser driver from Selenium
wos = WoSExtractor(path_to_Selenium_driver)
# It returns a dataframe from a Web of Science search query
df_article = wos.search(search_term)
- Edson Souza - Universidade Nove de Julho
- Jose Storopoli - Universidade Nove de Julho
- Wonder Alves - Universidade Nove de Julho
DE SOUZA, Edson Melo; STOROPOLI, Jose; ALVES, Wonder (2019, November 25). Web of Science Metrics.
Available in: https://github.com/EdsonMSouza/web_of_science_metrics
Or BibTeX for LaTeX:
@misc{desouza2019WOS,
author = {DE SOUZA, Edson Melo and STOROPOLI, Jose and ALVES, Wonder},
title = {Web of Science Metrics},
url = {https://github.com/EdsonMSouza/web_of_science_metrics},
year = {2019},
month = {November}
}
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.