Do You Provide Data from Social Media Accounts?

Online data privacy has become an increasing concern to users of the internet. As a result of new privacy regulations, many social media sites like Facebook and LinkedIn do not allow the pulling of data from them. LinkedIn has gone so far as to even sue anonymous users who scraped their site. Twitter, Pinterest and Instagram, on the other hand, do allow scraping bots.

Webhose can, however, provide social media data from several sites, including: StumbleUpon, LinkedIn, and vkontake (the Russian online social media and social networking service).

Keep in mind, however, that even if a social media platform doesn’t allow you to pull data directly from the platform APIs, you can often get access to public information such as likes, comments and the number of followers. And this type of social media data can provide you with the foundation for machine-learning models for both positive and negative sentiment queries. In other words, you can use this type of social media data to understand whether your product, service, or brand has a positive or negative social media sentiment on the web.

Filter By Social Media Sentiment and Performance

The virality of a social media post indicates how successful it was. This can be measured by what we refer to as a performance score. Webhose allows you to score posts relative to an ever-changing benchmark – meaning that it can change as more and more data is created on the web. A post that was never shared would receive a score of 0, whereas a post that was shared thousands of times on any of the social networks would receive a score of 10.

Here’s an example of a search for viral posts about Obama according to their performance (in the top 20%):

And here is the first page result, with the first relevant source of that query:

Webhose’s RESTful API lets you leverage these easy-to-use yet advanced search query capabilities for social media data collection according to your needs. Our API is compatible with any software system (either via JSON, XML, RSS or Excel), so integration is a breeze.  

Tap into Structured Data from Across the Web

Although social media can provide valid information about customers, it is important to take into consideration the disadvantages of it as well. First, there’s the serious problem of a skewed view of reality, also known as the filter bubble. It’s the reason you mostly receive news on social media from other people who have views that are similar to your own — and the reason Americans were shocked to learn that Donald Trump was elected to be the 45th President of the United States.

Another disadvantage to social media is the reliability of sources. In contrast, RSS can be used specifically by end users to find valuable information from a list of reliable sources that you’ve chosen in advance. They offer greater control without the distraction and noise of social media.Instead of relying solely on social media to track the latest trends in their industry, businesses should consider RSS feeds instead. Developers also find RSS to be a better choice as they allow them to leverage the massive amount of user data available while at the same time avoid the bias and filter bubble of social media.

Webhose’s RSS monitoring solution regularly crawls and indexes updated content on the web from millions of posts per day, including a huge massive repository of historical data. With it, businesses can easily identify trends, measure sentiment and rest assured that they’re not missing any important news sources.

Want to Learn More?

Learn how Webhose’s News API allows you to measure and filter social media posts according to sentiment and performance. 

Ran Geva

Ran Geva is the co-founder and CEO of, a leading web data provider used by hundreds of data analytics, cybersecurity and web monitoring companies worldwide. Before co-founding, he was the co-founder of Buzilla Ltd, a web monitoring and analytics company that helps brands track, monitor, analyze and extract insight from online content.

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