The Role Of AI In Web Data Collection

AI-powered web data collection automates data extraction from websites and boosts flexibility to adapt to changing structures of websites. Shachar Daniel, CEO of Alarum Technologies, explains the relevance and implications of AI Data Collector in a recent interview with Dinis Guarda.

The modern digital scenario is not just limited to merely being an information hub. It is, rather, a data-rich environment that enables businesses to reveal patterns about user interactions. According to Statista, the total amount of data created would grow to more than 180 zettabytes by 2025.

In a recent interview with Dinis Guarda, Shachar Daniel, CEO and Co-Founder of Alarum Technologies (Nasdaq, TASE: ALAR) says:

“Data is the lifeblood of everything today. To collect it from different websites that are changing now and then, you need tools and products to automate the process of collecting data that is transparent, real, accurate, and in scale.”

AI-powered web data collection

Web data collection, once a manual and time-consuming process, has now been streamlined and enhanced through AI-powered tools and techniques. Supplemented with machine learning algorithms, natural language processing (NLP), and computer vision, AI has enabled automated data extraction from websites, social media platforms, forums, and other online sources with unparalleled accuracy and efficiency.

One of the key advantages of AI in web data collection is its ability to adapt and learn from data patterns over time. This enables AI-powered tools to continuously improve their performance, ensuring high-quality and relevant data extraction across diverse online platforms.

Speaking about the AI Data Collector Product line by Alarum Technologies, Shachar says:

“We are developing a product with AI algorithms that will learn by itself the structure of the websites and adapt to their changing structure. This reduces human effort and provides a faster response to our customers.”

AI algorithms also have the advantage of handling unstructured data formats, such as text, images, and videos, making them versatile for extracting insights from various sources on the web.

The AI Data Collector Product Line by Alarum Technologies

“Most of the AI products are nothing without data. Besides the analysing abilities bestowed by algorithms that build the AI models, it needs to be trained with the intelligence of data. It also needs data to stay up-to-date. This is why we have exponential demand for our products”, points Shachar.

Owned by Alarum Technologies, NetNut offers comprehensive solutions to facilitate the seamless collection of data from various online sources, including the AI Data Collector.

Shachar explains that it is essentially a scraper that empowers enterprises to quickly and easily create data collectors through its intuitive, no-code interface.

“It is a product where you instruct to go to a website and get structured data from an unstructured one using desired parameters”, he says.

In addition to this, NetNut’s proprietary unblocking technology ensures effortless access to web data, enabling uninterrupted data extraction regardless of scale. Users only need to input the target URL, specify the desired data subjects, set the timing range, and select their preferred download format.

“With just a few simple steps, businesses will be able to generate custom data collection solutions in a matter of minutes”, says Shachar.