News Scraping Insights

Project information

  • Category : Data Scraping
  • Use case : Social Media info Aggregation, Ecommerce-info Aggregation, Blog Aggregation
  • Fields : News title, News metadata, website
  • Project URL : www.googlenews.com

This powerful Google News scraper will take a simple Google News profile URL or search term keyword and return to you all the available data from the profile - News title, News metadata, website, and more - all in a ready-to-download spreadsheet.

This Google News automation will help you to:

  • Scrape the News profiles of your leads to gather enriched profile data for your driving value.
  • Find News title, News metadata, website in a minute
  • Gather new Google News data on your desired platform by using hardik's Google News customized crawler

Countless news feeds are updated in frquent of single second. Manually searching and visiting all the news websites and gathering data is an unrealistic task. however what are the solutions for people to gather all the news together without repetitive and tedious browsing drudgery

All those news are scattered across different websites.

If you want to simply browse the information, then using a News Aggregator Application is the easiest and most convenient way. However, if you want to achieve the business value of news accessible on the Internet, then a customized News Aggregator would be the best choice.

If you want to simply browse the information, then using a News Aggregator Application is the easiest and most convenient way. However, if you want to achieve the business value of news accessible on the Internet, then a customized News Aggregator would be the best choice.

This article will dive deeply into News Aggregation, introducing its business value and how to build your own News Aggregator with Hardik.

What is News Aggregation?

  • News Aggregation is a process that helps people to access the assembled news from a variety of sources in one place. Generally speaking, people may be more familiar with some other terms, like news aggregator, news reader, feed readers, RSS reader and so on. Anyway, they all work under the same principle, scraping/extracting/gathering the news and storing/placing them in a handy location, either on your own computer or in the cloud.
  • Further, we can easily extend News Aggregation to all kinds of Content Aggregation. With a set of content aggregators, we could access our needed information and data anytime we want.

Apart from the above-mentioned applications, today News dataset can be also applied for
Type of Aggregation:

1). Blog Aggregation :
Collect the blog information, like the title, author bio, brief introduction of the blog, URL, etc.
User scenario - Provided that you need to prepare the latest blogs to your audiences who subscribe to your RSS, then a blog aggregator could help you gather the information effectively.

2). Social Media info Aggregation :
Collect the data you want from ALL social media platforms.
User scenario - For digital marketers, it's important to know the audiences’ attitudes and this info can shed light on marketing strategy and product improvement.

3). Ecommerce-info Aggregation :
Collect the product information across various platforms, like Amazon and Best Buy.
User scenario - If you’re running an online business, Ecommerce-info Aggregation could help you with price monitoring, competitor monitoring, etc.

How does web scraping contribute to News Aggregation?
* Web scraping is a technique for website data extraction. We can create a web scraper, or build it from scratch by computer languages such as Python, R, and JavaScript. That said, web scraping is the core of the News Aggregation.

  • Collect news information effectively
  • Export the scraped data to Excel or via API directly
  • Update to the latest news at a certain frequency