Browser profiles
A browser profile in Gologin is an isolated browser environment that simulates a separate device. Each profile contains its own:- browser fingerprint
- cookies and session data
- local storage and cache
- browser extensions
- proxy connection
Managing existing accounts.
Browser fingerprints
A browser fingerprint is a set of technical parameters that websites use to identify a device. These parameters may include:- operating system
- browser version
- screen resolution
- installed fonts
- graphics and WebGL data
- timezone and language settings
How browser fingerprints work.
Proxies
A proxy assigns a different IP address to a browser profile. Since websites track both browser fingerprints and IP addresses, using proxies helps separate network identities between profiles. With proxies, each profile can appear to connect from a different location or network. Using a proxy together with a unique browser fingerprint helps create a consistent and independent browsing identity. Proxies are used to separate accounts at the network level. If you’re not familiar with how they work, start with What is a proxy. Once you understand these components, the next step is applying them when creating profiles.See Creating profiles.
Profile OS must match your device OS
The operating system set in your profile fingerprint should match the OS of the device you’re using to open the profile. For example:- Opening a Windows profile on a Mac can create detectable mismatches
- Sites like iphey.com and pixelscan.net will flag this as a fingerprint inconsistency
- LinkedIn and other sensitive platforms may log you out immediately
Default fingerprint settings are safe
GoLogin automatically generates realistic fingerprint settings for each new profile. You do not need to customize WebGL, Canvas, Audio, or other fingerprint parameters unless you have a specific reason to do so.How to verify your fingerprint
After launching a profile, visit one of these checkers:- iphey.com — shows an overall trust score and flags issues
- pixelscan.net — detailed fingerprint analysis