Initializing System StateSUB-100MS EDGE SLA // INGRESS ROUTING
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Tier 2 — Production Project Spec
SaaS Platform / 2024
FlowScrape — No-Code Web Scraping
No-code visual workflow builder for web data extraction with scheduled job execution and error handling.
RoleProduct Engineer
Duration2 months
“Why this system existed: No-code visual workflow builder for web data extraction with scheduled job execution and error handling. We engineered explicit boundaries to prevent race conditions and ensure predictable failover under production traffic.”
Executive Summary
Low-code SaaS platform enabling non-technical users to build data extraction workflows. Features visual workflow editor, scheduled job orchestration, and automatic retry logic.
02 — Business Context
Why This Exists
Business analysts and marketers frequently need web data but lack the technical skills to write scraping scripts. Existing tools are either too technical or too limited.
03 — Problem Statement
Technical Formulation
Create a visual workflow builder that lets non-technical users extract web data through a drag-and-drop interface, with scheduled execution and error handling.
System Specification
- 01Visual drag-and-drop workflow editor
- 02Scheduled job execution with automatic retry
- 03Secure authentication and user session management
- 04Data export in multiple formats
06 — Architecture
System Design & Data Flow
Next.js with Prisma ORM and PostgreSQL. NextAuth for authentication. Visual workflow editor built with custom React components. Serverless functions for scheduled job execution.
System Architecture & Data Flow Invariant
ASCII TOPOLOGY+-------------------------------------------------------------------------+ | SYSTEM PIPELINE INVARIANT | | | | [Client Ingress] ---> [Edge Router & Auth] ---> [Transactional Store] | | | | | | v v | | [Async Workers] <------- [Event Queue / Broker] | +-------------------------------------------------------------------------+
08 — Engineering Decisions
Architectural Choices
- Decision #1Custom workflow editor instead of embedding a library — more control over the visual language
- Decision #2Serverless functions for scraping — auto-scaling for concurrent jobs without infrastructure management
09 — Trade-Offs
Managed Compromises
- Trade-Off #1Custom workflow editor requires more upfront development but provides better UX than generic embedded tools
- Trade-Off #2Serverless has cold start penalties but eliminates infrastructure management for sporadic scraping jobs
Production Impact
Workflow Editor60fps
Job Latency<2s
Job TypesUnlimited
- No-code visual workflow builder
- Secure authentication with NextAuth
- Automated data extraction pipelines
- Deployed on Vercel with serverless functions
11 — Lessons Learned
Technical Post-Mortem
- • Visual workflow editors require extensive state management — XState or similar state machines would have simplified the complex interaction states
- • Error handling in web scraping is more about retry strategies than try/catch blocks
12 — Future Work
Scalability Roadmap
- • Continuous performance profiling and edge latency optimization.
- • Expanding API integration endpoints and developer documentation.
Field Notes & Architectural Decisions
Related Engineering Notes
Continue Exploring
Interconnected Engineering Knowledge
This project demonstrates
- Event-driven SaaS architectures
- Sub-second edge ingestion
- Atomic database usage metering
- Zero-config webhook security
Related projects
Technologies used
Next.jsPrismaNextAuthWeb ScrapingTypeScript
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