Naver News scraping library
pip install naverscrap
from naverscrap import NaverScrap
ns = NaverScrap
df = ns.obtain_results("Tesla", "2020.03.04", "2020.04.04", 10, False)
#query(s), start_date, end_date, no. of results for each query, ascending (false by default)
from naverscrap import NaverScrap
ns = NaverScrap
queries = ["Tesla", "Facebook", "카카오"] # list of query
df = ns.obtain_results(queries, "2020.03.04", "2020.04.04", 10, False)
#query(s), start_date, end_date, no. of results for each query, ascending (false by default)
The output dataframe will be in:
| Column | Description |
|---|---|
| Item | Search Query |
| Date | Date of News Article |
| Newspaper | News Publication Company |
| Title of news | Title of news article |
| Link | Link to news article |
| Summary | Summary of the news article |
© 2021 Brendon Lim.
This repository is licensed under the MIT license.
See LICENSE for details.
