Software Requirements Specification (SRS)
This document defines the functional and non-functional requirements for the **User-Defined Web Automation and Data Extraction Platform**. The system enables non-technical users to reliably automate browser-based workflows and extract structured data without writing code.
Software Requirements Specification (SRS)
1. Introduction
1.1 Purpose
This document defines the functional and non-functional requirements for the User-Defined Web Automation and Data Extraction Platform. The system enables non-technical users to reliably automate browser-based workflows and extract structured data without writing code.
1.2 Scope
The platform allows users to:
- Record real browser interactions via a custom browser extension
- Convert interactions into deterministic, versioned workflows
- Execute workflows at scale using headless browsers
- Extract, normalize, and persist structured data
- Monitor execution through logs, screenshots, and job states
The system explicitly avoids prompt-only or AI-guess-based automation and focuses on reliability, repeatability, and observability.
1.3 Definitions, Acronyms, and Abbreviations
- Workflow: A deterministic sequence of recorded browser actions
- Job: A single execution instance of a workflow
- Worker: An execution node that runs jobs using Playwright
- Selector: DOM path used to locate elements
- Headless Browser: Browser running without UI
1.4 Intended Audience
- Product engineers
- Backend and infrastructure developers
- QA and automation engineers
- Technical stakeholders
2. Overall Description
2.1 Product Perspective
The platform is a distributed system consisting of:
- Browser Extension (Recording Layer)
- Web Dashboard (Management Layer)
- Orchestration Service (Queue & Scheduler)
- Execution Workers (Playwright)
- Data Storage & Observability Stack
Each component is loosely coupled and horizontally scalable.
2.2 User Classes
- Standard User: Records and runs workflows
- Power User: Parameterizes workflows and schedules jobs
- Admin: Manages workers, queues, and system health
2.3 Operating Environment
- Browser Extension: Chromium-based browsers
- Backend: Linux containers
- Execution Engine: Playwright
- Database: Relational (PostgreSQL or equivalent)
- Queue: Redis / SQS / RabbitMQ (pluggable)
2.4 Constraints
- CAPTCHA-protected or heavily bot-guarded websites are not supported
- Requires JavaScript-enabled websites
- Network-dependent execution reliability
3. System Features and Functional Requirements
3.1 Browser Interaction Recording
Description: Record real user actions on websites
Functional Requirements:
- Capture clicks, inputs, navigation, scrolls, and selections
- Record stable DOM selectors with fallbacks
- Timestamp and order all actions
- Support pause, resume, and stop recording
- Store raw recording locally before upload
3.2 Workflow Generation and Versioning
Description: Convert recordings into structured workflows
Functional Requirements:
- Transform actions into deterministic steps
- Assign unique workflow IDs
- Maintain immutable versions per edit
- Allow rollback to previous versions
3.3 Workflow Management Dashboard
Description: Central UI for managing workflows
Functional Requirements:
- View workflow steps in readable format
- Edit selectors, delays, retries, and timeouts
- Parameterize inputs (variables)
- Enable/disable steps
- Clone workflows
3.4 Job Scheduling and Triggering
Description: Control workflow execution
Functional Requirements:
- Manual execution trigger
- Time-based scheduling (cron-like)
- Ad-hoc parameter injection at runtime
- Job enqueueing with metadata
3.5 Job Queue and Orchestration
Description: Reliable job distribution
Functional Requirements:
- Centralized job queue
- FIFO processing with priority support
- Retry failed jobs based on policy
- Dead-letter queue for hard failures
3.6 Workflow Execution Engine
Description: Deterministic execution using Playwright
Functional Requirements:
- Spin up isolated headless browser per job
- Replay steps sequentially
- Enforce per-step timeouts
- Support retries with backoff
- Abort on unrecoverable errors
3.7 Data Extraction and Normalization
Description: Extract structured data
Functional Requirements:
- Extract text, attributes, tables, and lists
- Support multiple selectors per field
- Normalize outputs to JSON
- Validate extracted data schema
3.8 Observability and Debugging
Description: Provide transparency into execution
Functional Requirements:
- Capture execution logs per step
- Store screenshots on failure and success
- Track job states (queued, running, failed, completed)
- Provide execution timeline
3.9 Results Storage and Access
Description: Persist and present results
Functional Requirements:
- Store results per job execution
- Display results in tabular UI
- Allow CSV/JSON download
- Maintain historical runs
4. Non-Functional Requirements
4.1 Reliability
- Deterministic execution only
- No AI-guess-based interactions
- Idempotent job retries
4.2 Scalability
- Horizontal scaling of workers
- Queue-based load distribution
- Stateless execution nodes
4.3 Performance
- Job startup under configurable threshold
- Parallel job execution support
4.4 Security
- Isolated browser environments
- No credential persistence unless encrypted
- Role-based access control
4.5 Observability
- Centralized logging
- Metrics for job duration and failure rate
- Health checks for workers
4.6 Maintainability
- Modular services
- Clear separation of concerns
- Versioned APIs
5. System Architecture Overview
5.1 High-Level Flow
- User records workflow via extension
- Workflow stored and versioned
- User triggers or schedules execution
- Job enters queue
- Worker consumes job
- Playwright executes workflow
- Data extracted and stored
- Results displayed in dashboard
6. Assumptions and Dependencies
- Target websites are accessible without advanced bot protection
- Users understand basic browser interactions
- Stable DOM structure for recorded sites
7. Future Enhancements (Out of Scope)
- Visual selector healing
- AI-assisted selector suggestions
- Distributed browser farms
- Workflow marketplace
8. Acceptance Criteria
- Users can record, edit, and run workflows without code
- Jobs execute deterministically
- Results are reproducible and auditable
- System scales with additional workers
End of Document
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