If you haven’t use an api for big data yet, this is maybe your time! In this post we’re going to explain you how to use an API to pull data from any website you desire in just seconds! Keep reading to get to know the best b2b data api for 2023!
Domain data and website classification are important areas in machine learning and natural language processing. Applications range widely, from cybersecurity to online store classification. A crucial step in website classification is the extraction of relevant content from webpages (by removing boilerplate elements), and specific machine learning models can be applied in this process.
A list of categories is what makes up a website’s categories, from which users can select one to designate their content. Our classifiers use the IAB list, which compiles the most website categories. Machine learning models of all shapes and sizes, from straightforward ones like SVM to more complex ones like LSTM or transformer models, can be utilized for text classification.
How is the process of pulling data from websites done?
Automated website classification often makes use of a supervised machine learning model (ML) developed specifically for this task. The work on machine learning (ML) solutions starts with the training data, whose quantity and quality are crucial if you want to achieve an accuracy level high enough to deploy the website categorization model in production.
Making a training data set requires taking important steps, one of which is choosing a taxonomy that fits your needs. To choose from pre-existing standard ones like the IAB taxonomy, you may either design a one-of-a-kind one that is particular to your use case.
Similar to how relevant content keywords boost results, the addition of categories and related keywords can enhance signaling for search engine ranking algorithms. In this situation, tagging—adding one or more labels to products—might be useful when you add more than one pertinent descriptor to your subpage.
Check out this amazing new technology: it’s called Klazify and it was developed by Zyla Labs with the premise of reliability and speed. Its user-friendly platform with let you categorize websites in just seconds!
Klazify
The Klazify technology is the ideal option for security systems lacking complete URL access because it can categorize content from URLs, entire websites, and IP addresses. Data extractors, web scrapers, and data mining tools are just a few of the features you can utilize to get information from other websites.
Developers can access domain data programmatically using the Klazify API for domain data, including details on the owner, registrar, and nameservers. One or more domains’ data can be looked up simultaneously using the API.
This company categorization API makes advantage of HTTP GET queries to get domain information. The API will provide a JSON object containing the data for the requested domain or domains when developers specify the domain or domains to lookup using the domain argument. Additionally, Klazify features a feature for extracting logos from any website or brand, so even the newest and most obscure businesses will yield results with just one API request.