ArgusLabz

Latest Finds

Find out more about web scrapers and crawlers, and how they access and view different sites. Specifically, dive into the cool information we've gathered on web traffic patterns and bot behavior by logging their access to our site, specific pages, and how we analyze the data.

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Projects

Learn more about our ongoing experiments and developments in generating hidden link honeypots, HTML generation honeypots, clustering and classification AI models to find likely spoofers, and a CLI app that can use all of the above.

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Understanding Web Traffic Patterns

We are trying to stop users and bots that malicious, such an example is what is depicted below:

**Not for real though**

Web Traffic Analysis

Images is representative of a professional data scraping individual, fluent in data analysis and machine learning.

Data Insights

Fact: All regular and good bots should follow the given outline in the robots.txt file and sitemap.xml file and should oblige as requested by the site owner. Only malicious or spoofing bots should be able to access these pages.

Our research uncovers trends that and helps utilize a spoofing algorithm to help detect spoofers straight up. Whether or not they use a VPN or cloud hosting service or even a fake user-agent, our algorithm does it's best at being foolproof and finding scraping once and for all. Discover our specific insights on data scraping and spoofers below.

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Meet the Team

We are data enthusiasts passionate about demystifying web traffic and finding bots that use proxies and VPN, up to no good. Get to know the minds behind ArgusLabz.

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Get in Touch

Have questions or want to collaborate? Reach out to us anytime. Just simply fill out a form and we will get back to you as soon as possible.

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