fingerprint-suite is a handcrafted assembly of tools for browser fingerprint generation and injection.
Today's websites are increasingly using fingerprinting to track users and identify them.
With the help of fingerprint-suite you can generate and inject browser fingerprints into your browser, allowing you to fly your scrapers under the radar.
Would you like to work with us on our fingerprinting tools or similar projects? We are hiring!
Overview
fingerprint-suite is a modular toolkit for browser fingerprint generation and injection. It consists of the following npm packages, which you can use separately, or together:
With ever-improving performance of antibot fingerprinting services, we use some of the industry-leading services to benchmark our performance.
The following table shows how is the latest build of fingerprint-suite doing in comparison to other popular fingerprinting tools.
Your code contributions are welcome and you'll be praised for eternity!
If you have any ideas for improvements, either submit an issue or create a pull request.
For contribution guidelines and the code of conduct,
see CONTRIBUTING.md.
License
This project is licensed under the Apache License 2.0 -
see the LICENSE.md file for details.
FAQs
NodeJS package for generating realistic browser-like HTTP headers.
The npm package header-generator receives a total of 54,011 weekly downloads. As such, header-generator popularity was classified as popular.
We found that header-generator demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.It has 0 open source maintainers collaborating on the project.
Package last updated on 05 Apr 2023
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.