Browse free open source Ruby Headless Browsers and projects below. Use the toggles on the left to filter open source Ruby Headless Browsers by OS, license, language, programming language, and project status.

  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • 1
    XSpear

    XSpear

    Powerfull XSS Scanning and Parameter analysis tool&gem

    XSpear is an XSS Scanner on ruby gems. Powerful XSS Scanning and Parameter analysis tool&gem.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Ferrum

    Ferrum

    Headless Chrome Ruby API

    Ferrum is a Ruby library that provides a high-level API for controlling Chrome or Chromium browsers using the Chrome DevTools Protocol. The project allows developers to automate browser interactions directly without relying on Selenium, WebDriver, or external drivers, which simplifies browser automation workflows. Ferrum runs in headless mode by default but can also be configured to run with a visible browser window for debugging and development purposes. The library communicates directly with Chrome through the DevTools Protocol, providing access to advanced browser functionality such as DOM manipulation, network inspection, and page automation. Because of this low-level access, Ferrum offers greater flexibility and performance compared to traditional WebDriver-based automation tools. It is commonly used for tasks such as web scraping, automated testing, crawling, and screenshot or PDF generation.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    Cuprite

    Cuprite

    Headless Chrome/Chromium driver for Capybara

    Cuprite is a Ruby driver for the Capybara testing framework that allows developers to automate browsers using the Chrome DevTools Protocol instead of traditional WebDriver-based tools. It is built on top of the Ferrum library and provides a modern approach to browser automation that removes the need for Selenium or external browser drivers. By communicating directly with Chromium-based browsers through the DevTools protocol, Cuprite enables faster and more reliable browser automation for testing and scraping tasks. The driver integrates seamlessly with Capybara, allowing developers to write feature tests that simulate real user interactions with web applications. Because it uses headless Chrome by default, Cuprite is well suited for automated test environments and continuous integration pipelines. Developers can also run tests with a visible browser window for debugging purposes during development.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    Wraith

    Wraith

    A responsive screenshot comparison tool

    Wraith is a screenshot comparison tool, created by developers at BBC News. Wraith uses a headless browser to create screenshots of webpages on different environments (or at different moments in time) and then creates a diff of the two images; the affected areas are highlighted in blue. There are two main modes for using Wraith, 'capture' mode and 'history' mode. Wraith has some built-in JavaScript and configuration file templates for you to get started with right away. If you wish to take screenshots of a component rather than the entire page, use casperjs and pass a selector along with your paths. In the 'component' example config, you can see how we specify a component name, domain path and selector we want to capture. All config options will be placed in a YAML config file. You set the headless browser, diff mode, threshold, fuzz amount and screen widths.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Start Free
  • Previous
  • You're on page 1
  • Next