{"id":1791,"date":"2017-12-14T13:56:23","date_gmt":"2017-12-14T13:56:23","guid":{"rendered":"https:\/\/agiliway.com\/?p=1791"},"modified":"2022-08-29T11:28:11","modified_gmt":"2022-08-29T11:28:11","slug":"building-python-powered-content-aggregator-for-multimedia-startup","status":"publish","type":"post","link":"https:\/\/agiliway.com\/building-python-powered-content-aggregator-for-multimedia-startup\/","title":{"rendered":"Building Python Powered Content Aggregator For Multimedia Startup"},"content":{"rendered":"

Some stress elegance of the Python<\/a> programming language, others marvel at its modularity and extensive standard library, while we at Agiliway tip the hat to Python for the increased productivity it provides.<\/p>\n

Once again Python played to its strengths at the fingertips of our engineers, and this time an American multimedia startup got a perfect tool for doing market research easily and effectively.<\/p>\n

Challenges for the Startup in the Digital Age<\/h3>\n

The variety of digital data come thick and fast daily leaving readers overwhelmed and huddled over their laptops for hours on end. Per day about 4 mln hours of content are uploaded to YouTube, an average of 3.6 bln Google searches conducted, and more than 2 million articles published on the web. The Washington Post only publishes around 1,200 staff-produced articles, wire stories, graphics, and videos what makes one story every two minutes. Who would have thought that 600 new page edits are published on Wikipedia every minute?! Highlights of last year\u2019s reports about world\u2019s data generation make one scratch the head in confusion.<\/p>\n

Given an all-time high pace at which events hit headlines the news goes viral and updates are published, our client representing the multimedia startup experienced a dire need of having routine daily work expedited and leveled up. The company serves the enterprise software industry by delivering detailed analyses of the industry, raising awareness about information technologies, creating webcasts, preparing articles, researching programs and white papers. Heavily reliant on the Internet for the latest industry news, updates, and analyses, the client could spend hours collecting relevant data on a certain topic. At times searching turned out to be ineffective due to the lack of necessary skills, time or resources. With the advent of digital media came continuous access to more incoming information than a person could spot, process and absorb.<\/p>\n

Getting a Handle on Information Overload<\/h3>\n

To keep its business alive and thriving the company couldn\u2019t afford to escape the glut of information coming fast and furious from a variety of sources. Without fail, only after data on a certain topic have been collected, filtered through, classified and then studied for accuracy and reliability, analytics merits notice.<\/p>\n

The solution was made to build in a third-party app, Python Powered Content Aggregator, for all the dirty work of searching and collecting niche-relevant content from multiple sources. It serves to crawl the Internet (social media platforms, RSS feeds, news or company websites, online editions of journals and newspapers, forums, blogs, etc.), check out all sorts of updates, filter media outlets according to set criteria, automatically upload them in a repository which an admin can access anytime to further work with.<\/p>\n

Advantages following the implementation of Python Powered Content Aggregator are as follows:<\/p>\n