tr-news-scraper

tr-news-scraper

tr-news-scraper is a Python library that allows users to scrape Turkish news articles based on specified keywords from multiple sources. It gather news content from various news websites, enabling users to extract valuable information for analysis or research purposes.

Installation

Use the package manager pip to install this library.

pip install tr-news-scraper

Usage

Scrape news articles based on a single or multiple keywords. scrape() method returns a pandas dataframe.

from tr_news_scraper import tr_news_scraper as tns

scraper = tns.NewsScraper() # You can define page_limit parameter here. Default value is 20.
single_keyword_news = scraper.scrape(["keyword"]) # You can define keyword or keywords here.
multiple_keywords_news = scraper.scrape(["keyword_1", "keyword_2", "keyword_3"]) # You can define keyword or keywords here.

title	authors	publish_date	text	keywords	top_img	url	meta_url	meta_img	meta_published_date	meta_description	meta_keywords	date	keyword
title_1	authors_1	publish_date_1	text_1	keywords_1	top_img_1	url_1	meta_url_1	meta_img_1	meta_published_date_1	meta_description_1	meta_keywords_1	date_1	keyword_1
title_2	authors_2	publish_date_2	text_2	keywords_2	top_img_2	url_2	meta_url_2	meta_img_2	meta_published_date_2	meta_description_2	meta_keywords_2	date_2	keyword_2
title_3	authors_3	publish_date_3	text_3	keywords_3	top_img_3	url_3	meta_url_3	meta_img_3	meta_published_date_3	meta_description_3	meta_keywords_3	date_3	keyword_3
title_4	authors_4	publish_date_4	text_4	keywords_4	top_img_4	url_4	meta_url_4	meta_img_4	meta_published_date_4	meta_description_4	meta_keywords_4	date_4	keyword_4
title_5	authors_5	publish_date_5	text_5	keywords_5	top_img_5	url_5	meta_url_5	meta_img_5	meta_published_date_5	meta_description_5	meta_keywords_5	date_5	keyword_5

Sources

• CNN Türk
• Hürriyet
• Milliyet
• Sabah
• Posta