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A Naver News Scraping tool

Project description

Introduction

Naver News scraping library

Installation

pip install naverscrap

Usage

Single Query

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)

Multiple Queries

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

License

© 2021 Brendon Lim.

This repository is licensed under the MIT license.

See LICENSE for details.

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naverscrap-1.0.6.tar.gz (4.0 kB view hashes)

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