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browser-act/skills

0
View on GitHub↗
2,554 stars·107 forks·Python·MIT·29 viewswww.browseract.com↗

Skills

This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and large-scale data extraction. It serves as a framework for building and deploying agents that can navigate complex, JavaScript-rendered websites, interact with page elements, and execute multi-step workflows. By providing a structured environment for browser control, the system enables the creation of reusable automation scripts that can be deployed across diverse web platforms.

The platform distinguishes itself through a comprehensive suite of security and traffic management tools, including browser fingerprint spoofing, automated proxy rotation, and integrated captcha resolution. These capabilities allow agents to bypass anti-bot protections and maintain persistent, isolated browser sessions. Furthermore, the system supports human-in-the-loop operations, enabling the seamless transfer of active browser sessions to human operators when agents encounter complex verification challenges or obstacles.

Beyond core navigation, the framework includes automated workflows for generating, validating, and repairing browser skills. It converts manual interaction paths into stable, parameterized scripts and provides tools for structured data extraction across e-commerce, social media, and business directories. The system is implemented in Python and provides a command-line interface for managing headless browser environments and multi-account sessions.

Features

  • Autonomous Web Agents - Provides an engine for building and deploying autonomous agents that navigate complex websites and execute multi-step workflows.
  • Agentic Web Interaction - Provides an agentic engine for autonomous web navigation and multi-account task execution.
  • Large Scale Extraction - Extracts structured data points from dynamic web pages to build large-scale datasets.
  • Browser Automation Frameworks - Offers a command-line framework for executing complex browser workflows and managing isolated sessions.
  • Browser Automation - Provides programmatic control over web browsers to execute complex user tasks, form inputs, and navigation workflows.
  • Anti-Detection Emulators - Configures browser profiles, user agents, and hardware headers to mimic legitimate users and bypass anti-bot detection.
  • Outbound IP Rotation - Routes outgoing web requests through managed pools of residential or datacenter IPs to avoid rate limiting and IP-based blocking.
  • Anti-Bot Evasion - Provides active evasion techniques to bypass bot detection services during automated web navigation.
  • Web Scraping and Automation - Automates browser interactions and web content crawling to extract structured data at scale.
  • Web Scraping and Extraction - Extracts data from websites with anti-scraping protections by handling session persistence and rendering challenges automatically.
  • Agent Skill Orchestration - Provides a framework for managing and coordinating modular browser-based skills within autonomous agent workflows.
  • Context-Aware Adaptation Rules - Applies context-aware rules to steer agent actions during complex multi-browser or authentication-sensitive operations.
  • Human-in-the-Loop Oversight - Enables human operators to monitor and intervene in autonomous agent workflows via interactive session handoffs.
  • Browser Automation Agents - Initializes browser environments and manages session status to prepare agents for autonomous web interaction tasks.
  • Search and Research - Performs automated multi-source searches and deep-crawls to extract structured content and research data.
  • E-commerce Product Data Extraction - Scrapes product listings, pricing, and reviews from online marketplaces to support competitive market analysis.
  • Lead Extraction - Automates the identification and collection of professional contacts and profiles from business directories and networks.
  • Social Media Activity Trackers - Tracks engagement and extracts posts across social platforms to support brand presence and audience analysis.
  • Web Task Automations - Executes ready-made scripts for common web platforms to perform repetitive tasks without requiring custom development.
  • Video Transcript Extraction - Extracts transcripts, engagement metrics, and metadata from video platforms for content summarization and research.
  • Web Data Extraction - Collects information across multiple sites using consistent automation patterns for batch mining and recurring monitoring.
  • Live Page Content Extraction - Fetches JavaScript-rendered page content from live browser sessions to return clean data without manual session management.
  • Document Element Inspection - Identifies and indexes interactive elements on a page to allow agents to target specific components for operations.
  • Skill Generation - Converts manual interaction paths into stable, reusable automation scripts for repetitive web tasks.
  • Browser Fingerprint Spoofing - Spoofs browser identity headers and environment variables to mimic legitimate users and bypass detection.
  • Automated Captcha Solvers - Integrates external services to automatically resolve captcha challenges during automated web tasks.
  • Multi-Account Session Management - Manages multiple authenticated user sessions to bypass restrictions and increase rate limits.
  • Session Handoffs - Transfers active browser sessions to human operators for manual intervention before resuming automated execution.
  • Protection Bypassers - Circumvents automated security challenges and firewalls on protected websites using multi-layered evasion strategies.
  • DOM to JSON Serialization - Transforms complex web page DOM structures into simplified JSON representations for efficient agent analysis.
  • Human-in-the-Loop Workflows - Implements architectural patterns for pausing automated browser sessions to allow seamless human intervention and takeover.
  • Self-Healing Scripts - Performs automated validation and self-correction on generated scripts to ensure long-term reliability.
  • Browser Session Managers - Isolates browser process sessions to prevent data leakage and ensure uncorrelated activity across multiple accounts.
  • Headless Browser Controllers - Controls headless browser instances to orchestrate multi-session interactions and dynamic content rendering.
  • Browser Isolation Strategies - Generates independent, ephemeral browser sessions with isolated storage and network stacks to prevent cross-session data leakage.
  • Custom Scrapers - Analyzes website patterns to automatically generate and deploy custom scrapers for structured data extraction.

Star history

Star history chart for browser-act/skillsStar history chart for browser-act/skills

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Skills

These projects share indexed features with Skills. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • nanmicoder/crawlertutorialNanmiCoder avatar

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    CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network

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  • lavague-ai/lavaguelavague-ai avatar

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    6,374View on GitHub↗

    LaVague is an LLM web agent framework and large action model designed to translate natural language instructions into executable browser automation scripts. It functions as a multi-modal orchestrator that reasons over web page states and HTML content to automate multi-step tasks via a Selenium-based automation engine. The framework features a modular model provider layer, allowing users to swap between different language and vision models from providers such as Anthropic, Gemini, and Azure OpenAI. It employs a multi-modal world model to process screenshots and HTML structures, utilizing retri

    Pythonaibrowserlarge-action-model
    View on GitHub↗6,374
  • steel-dev/steel-browsersteel-dev avatar

    steel-dev/steel-browser

    6,450View on GitHub↗

    Steel is a cloud browser automation platform that provides a REST API for launching and controlling remote Chrome browser sessions. It enables programmatic browsing and web scraping using standard automation tools like Puppeteer, Playwright, and Selenium, connecting to cloud-hosted browser instances via WebSocket and the Chrome DevTools Protocol. The platform supports both headless and headful browser sessions, with language-specific SDKs for TypeScript and Python. The service distinguishes itself through comprehensive anti-detection capabilities, including residential proxy rotation, CAPTCHA

    TypeScriptaiai-agentsai-tools
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  • lorien/web-scrapinglorien avatar

    lorien/web-scraping

    7,931View on GitHub↗

    This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools and libraries for parsing data, automating browsers, and managing network operations. It serves as a guide for extracting structured information from HTML, XML, JSON, and PDF formats. The toolkit focuses on advanced data collection strategies, including headless browser automation to interact with JavaScript and a suite of network utilities for DNS resolution and WebSocket connections. It specifically covers methods for bypassing bot protections through proxy pool management, us

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Frequently asked questions

What does browser-act/skills do?

This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and large-scale data extraction. It serves as a framework for building and deploying agents that can navigate complex, JavaScript-rendered websites, interact with page elements, and execute multi-step workflows. By providing a structured environment for browser control, the system enables the creation of reusable automation scripts that can be deployed across diverse…

What are the main features of browser-act/skills?

The main features of browser-act/skills are: Autonomous Web Agents, Agentic Web Interaction, Large Scale Extraction, Browser Automation Frameworks, Browser Automation, Anti-Detection Emulators, Outbound IP Rotation, Anti-Bot Evasion.

Which projects share features with browser-act/skills?

Projects with overlapping indexed features include: nanmicoder/crawlertutorial — CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static… lavague-ai/lavague — LaVague is an LLM web agent framework and large action model designed to translate natural language instructions into… steel-dev/steel-browser — Steel is a cloud browser automation platform that provides a REST API for launching and controlling remote Chrome… lorien/web-scraping — This project is a comprehensive resource directory for web data extraction, providing a curated collection of tools… vercel-labs/agent-browser — This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions… garrytan/gstack — gstack is an AI agent framework and development workflow system designed to automate the software development…

Curated searches featuring Skills

Hand-picked collections where Skills appears.
  • Headless Browser Automation Libraries
  • Web Scraping Tools
  • Headless browser orchestrator