Are you looking for a tool that allows you to organize the information your website accumulates? If that is your case, read this article to the end because here we will share with you the top 3 APIs for content categorization and big data in 2023 and much more!
A website has the capacity to accumulate a lot of information that can be very useful for businesses. However, in order to extract it, it is necessary to have a tool that can systematise this content and categorise it in order to make it easily and quickly readable.
The best tools for this are the content categorisation APIs for extracting and organising big data. With one of these APIs, you can get information about the traffic your site has achieved, such as the number of views, the number of clicks your visitors have made, the amount of time they have stayed on each page and how they have reacted to the content.
In addition, you can get information about your leads, such as their age, their gender, their geographic location and a lot of data that you can extract from this information. All this will help you complete your databases with accurate and up-to-date information, while saving you time and money.
On the other hand, having this categorised information can also allow you to segment your databases, so that you can have a clear picture of the audience you are reaching and design better and more accurate sales campaigns or sharpen your communication strategies.
The great thing about content categorisation APIs is that they make getting information and categorising it very easy, and give you results in just a few clicks. So, if you are looking for a content categorization API for big data, keep reading because here we will introduce you to the best 3 of 2023.
The greatest content categorization API for automating and acquiring data for any type of organization is Klazify. The most well-known API marketplace at the time, Zyla API Hub, created it. This tool gathers web data from website content and meta tags using Natural Language Processing (NLP) and a machine learning engine. Among the programming languages this API can respond with as a solution are Python, PHP, and JSON.
This URL categorisation API will access the pertinent domain name or URL, collect data, and create the required classes using the IAB V2 Standard categorization taxonomy. Among other things, its outcomes can be applied to marketing segmentation, one-to-one personalization, and online administration. As a result, the ideal choice for content categorization is to use Klazify.
If you require precise data collection to complete your database, you should also take this choice into account. Clearbit is one of the most well-known lead enrichment APIs. Automated enrichment can help with data-driven reporting, accurate lead scoring and routing, and extensive customer segmentation. Over a hundred other data points, such as installed technologies, the number of employees, revenue, location, customer information, and more, may be sent to each account in your target market. One of the most well-known content classification APIs accessible is called Clearbit.
Webshrinker is a helpful alternative content categorization API. It uses artificial intelligence to scan through billions of webpages, collect them, and organize them. Machine learning algorithms manage enormous data sets, and customers get new data via an API call or a database update. Additionally, it might scan logos and images for the most recent spyware and con artists. Therefore, it is ideal for text analysis.
We have already introduced you to the top 3 APIs for content categorization and big data in 2023. Start trying them and choose the one that suits you better!