Businesses face constant obstacles to gathering public web data.
Anti-bot mechanisms are constantly updating and improving, and as the scale of data collection grows, keeping up with the pace of innovation becomes more and more challenging.
Nimble Browser’s AI fingerprinting core generates an optimized fingerprinting for the particular request-target that includes:
Every request sent to Nimble Browser is fulfilled through a modern residential proxy provided by Nimble IP, our proxy infrastructure.
Quick answers to all your questions about Nimble Browser
Nimble Browser uses groundbreaking AI technology to intelligently bypass anti-bot systems while simultaneously achieving superb data accuracy through the use of highly authentic fingerprints. Additionally, Nimble Browser harnesses dynamic cloud infrastructure to flexibly scale in accordance with users’ needs.
The Nimble Browser provides wide-ranging benefits for web scraping including higher success rates, superb data accuracy, infinite scalability, and more. It achieves these benefits through a suite of built-in tools including a robust fingerprinting engine, versatile device emulation profiles, and more that require zero work or configuration on the part of users.
The Nimble Browser comes with proxies built-in! Nimble’s premium proxy network Nimble IP integrates natively with the Nimble Browser, providing the highest quality peers with global coverage.
The Nimble Browser is up to 70% faster and more lightweight than other browser automation tools like Puppeteer or Selenium, making it both faster and more scalable than existing browsers.
The Nimble browser was designed for web data collection, and as such includes a host of tools specifically designed to improve success rates and maximize data accuracy. Additionally, the Nimble Browser was designed with scalability in mind, and can flexibly scale to millions of requests.
In the overwhelming majority of cases, we recommend not sending custom headers, and allowing the Nimble Browser to fully control the process. We only recommend sending custom headers in specific situations where you have a deep knowledge of the specific use case at hand, and fully understand which headers need to be sent.