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User Agents is a JavaScript library that generates realistic and up-to-date user agent strings and browser fingerprints based on real-world usage data. The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. The dataset is updated automatically on a daily basis, ensuring that generated user agents remain current and relevant over time. In addition to user agent strings, the library can produce detailed browser fingerprint data such as screen size, platform, connection type, and device category. It also includes flexible filtering capabilities that allow developers to generate user agents matching specific criteria such as device type, operating system, or browser version.
Features
- Generation of realistic user agent strings based on real usage data
- Daily updates to ensure data remains current and accurate
- Support for detailed browser fingerprint properties and metadata
- Flexible filtering by device platform browser and connection type
- Weighted randomness to mimic real world traffic distributions
- Reusable instances for efficient bulk user agent generation
Project Samples
