# Bot detection Browser fingerprints are a key factor in web scraping. They determine how likely you are to be detected as a bot, directly affecting your ability to crawl and extract data. To minimize detection, our browsers are modified to replicate the fingerprints of typical internet users. This significantly reduces bot detection rates and enhances scraping performance. The objective is not to create a unique fingerprint, but to closely match common browser configurations. The more your browser resembles a normal user’s setup, the less likely it is to be flagged as a bot. ### Fingerprint Scan A bot risk score below 50 reduces your chances of being detected as a bot. We have the maximum score, completely undetectable.
You can test your [bot risk score here](https://fingerprint-scan.com/). ### How we did Randomized browser fingerprints – each browser instance generates a fingerprint matching real-world user distributions (OS, timezone, language, hardware, GPU, etc.). Dynamic user-agent rotation – periodic updates with valid and current user-agent strings from real browsers. Authentic WebGL and canvas signatures – simulated GPU and rendering outputs aligned with normal variance found in human browsers. Consistent screen and device metrics – logical screen resolution, color depth, and devicePixelRatio combinations identical to real devices. Timezone and locale sync – IP-based timezones and locales match geolocation for coherence. Regular data calibration – browser fingerprints benchmarked against large public datasets to match population averages. Cookie and storage emulation – full support for session/local storage and cookies to appear as persistent, active users. No headless signatures – masked automation indicators (navigator.webdriver, permissions API, window dimensions). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://cloudbrowser.gitbook.io/docs/cloud-service/bot-detection.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.