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web-automation-framework-platform

This project is a production-grade web automation system designed for complex automation, testing, and data-driven workflows. It supports advanced, multi-layered automation pipelines that combine browser automation, scraping logic, and workflow orchestration for reliable execution at scale.

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Introduction

Modern web platforms are dynamic, stateful, and heavily protected, making simple automation brittle and unreliable. This system provides a unified framework for web automation and testing, combining scraping, browser control, and workflow logic to handle complex user journeys, authenticated sessions, and data extraction reliably.

Why Web Automation Matters

  • Automates repetitive and complex browser-based workflows
  • Supports testing, scraping, and operational automation in one system
  • Handles dynamic and JavaScript-heavy websites reliably
  • Scales automation tasks without manual intervention

Core Features

Feature Description
Multi-Layer Automation Engine Combines browser automation and data extraction into resilient workflows.
Browser Automation Support Automates Chrome and Firefox using Playwright, Selenium, or Puppeteer.
Session & State Handling Maintains cookies, tokens, and authenticated sessions across steps.
Automation Testing Capabilities Supports regression tests, flow validation, and UI checks.
Rate Limiting & Pacing Applies controlled delays to mimic real-user behavior.
Modular Workflow Design Builds reusable automation pipelines with clear stages.
Logging & Monitoring Tracks execution status, errors, and performance metrics.
Scalable Execution Runs automation jobs concurrently using worker-based execution.

How It Works

Trigger / Input Core Automation Logic Output Safety Controls
Workflow definition Define steps, selectors, and logic Automation job created Validation rules
Browser session Launch isolated browser context Active session Fingerprint separation
Page interaction Navigate, click, type, submit Page actions completed Timeouts, retries
Data capture Extract page data or verify UI state Structured output Selector checks
Error handling Detect failures and retry Job completion Backoff logic
Monitoring Track execution metrics Logs & reports Auto-fail thresholds

Tech Stack

  • Languages: Python, JavaScript
  • Browser Automation: Playwright, Selenium, Puppeteer
  • Testing Frameworks: PyTest, Playwright Test
  • Scraping Tools: BeautifulSoup, Requests (as supporting layers)
  • Execution: Headless and headed browsers
  • Queue & Scaling: Redis + worker processes
  • Reporting: Logs, test reports, and metrics dashboards

Directory Structure Tree

web-automation/
    core/
        workflow_engine.py
        executor.py
        retry_policy.py
    browsers/
        playwright_runner.py
        selenium_runner.py
        puppeteer_runner.js
    automation/
        navigation.py
        interactions.py
        forms.py
    testing/
        test_flows.py
        assertions.py
    scraping/
        data_extractors.py
        parsers.py
    sessions/
        context_manager.py
        cookies.py
    monitoring/
        logger.py
        metrics.py
    config/
        settings.yaml
        selectors.yaml
    data/
        outputs/
        reports/
    scripts/
        run_automation.py
    requirements.txt

Use Cases

  • QA teams use it to automate browser-based testing and regression suites.
  • Automation engineers use it to build complex web workflows and integrations.
  • Data teams use it to automate data collection from interactive websites.
  • Businesses use it to automate internal web operations and dashboards.

FAQs

Q: Is this suitable for both testing and automation?
Yes. The framework supports UI testing, workflow automation, and scraping in a single system.

Q: Can it handle authenticated flows?
Yes. Sessions, cookies, and tokens are preserved across workflow steps.

Q: Does it support multiple browsers?
Yes. Chrome and Firefox are supported via Playwright, Selenium, and Puppeteer.

Q: Is it scalable?
Yes. Automation jobs can be distributed across multiple workers.

Performance & Reliability Benchmarks

  • Execution success rate: 95–99% depending on site complexity
  • Parallel jobs: 50–300 concurrent workflows per node
  • Page interaction latency: 300–900 ms per action
  • Recovery behavior: Automatic retries with exponential backoff
  • Stability: Designed for long-running, multi-step workflows

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