4 Python Web Scraping Libraries To Extract News Data
Web Scraping is a technique of extracting data from websites. This is done by writing a program that can access and extract the necessary data from the HTML code of a web page. The extracted data can then be saved in a structured format such as a spreadsheet or a database.
Web scraping can be a powerful tool for extracting news data from websites. News websites often have a large amount of data that can be used for analysis or research, and web scraping allows for the efficient and automated extraction of this data.
Python is a popular programming language for web scraping because of its ease of use, large community, and availability of numerous libraries. Overall, python web scraping libraries can be a powerful tool for extracting news data from various sources, automating data collection, filtering and categorizing data, and analyzing the data to gain insights.
In this article, we will explore open-source python web scraping libraries. Using these libraries, you can easily and quickly extract news data without having to make HTTP requests.
4 Python Web Scraping Libraries to Extract News Data
- NewsData.io News API
- Newspaper3k
- Scrapy
- Feedparser
- NewsData.io News API: Newsdata.io is a platform to search, collect and track worldwide news from various sources. With newsdata.io, you can extract headlines, article content, real-time breaking news, and historical news from popular sources. They provide a documentation page that can help developers to integrate Newsdata.io API with their applications or project. They provide a python web scraping library that can be used for scraping news articles from almost every news website. It also enables you to gather news on the basis of various criteria like language, country, publisher, date, etc.
2. Newspaper3k: Newspaper3k is a python library used for web scraping news articles. It provides a simple interface for extracting news data from different websites. It can extract headlines, articles content, and image associated with articles. It can also extract metadata such as the author, date, and publication name.
3. Scrapy: Scrapy is a popular web scraping library in Python. To extract news data, Scrapy can be used to crawl different news websites and extract relevant information. Scrapy provides an extensive set of features, such as automatic throttling request scheduling, and handling cookies and session management. It is an excellent choice for extracting news data from multiple websites.
4. Feedparser: Feedparser is a python library used for parsing RSS and Atom feeds. It provides a simple interface for fetching and parsing feed data from different sources. With feedparser, you can easily retrieve the content of a feed, including its title, summary, author, and date published.
Conclusion
In this article, we explored four Python web scraping libraries to extract news data. Newsdata.io News API, Newspaper3k, Scrapy, and Feedparser all are excellent choices for extracting news data. Each library provides a unique set of features and can be used to extract data from different types of websites.
