Delivery lane
Finance and Operations Automation Pipelines and automations for ERP, finance workflows, and process control.Finance automation
Financial Process Automation via Web Scraping
Stop copying invoices and statements by hand from portals that don't have an API.
- Python
- Browser automation
- dbt
- BigQuery
Problem
Finance teams still copy invoices, statements, payment status, and tax records from browser-only portals.
Solution
Automated logins handle the scraping, while reconciliation checks, fallback logic, and retries catch what a script alone would miss.
Outcome
Finance stops re-typing numbers by hand, and every downstream report stays auditable and safe to replay.
Repository scope
4 core delivery blocks A compact build with practical deliverables and visible operating behavior.Operating posture
Audit-friendly automation delivery Built with the same logging, retries, and validation you would expect from a workload running in production.What ships in this repository
- Authenticated scraping flow
- Reconciliation checks before publish
- Ops dataset logs and dead-letter handling
- Warehouse-ready finance models
Stack and operating model
- Python
- Browser automation
- dbt
- BigQuery
- Queue/outbox
- Structured logs
A Python scraping flow that logs in, reconciles what it finds, and turns finance's manual copy-paste routine into clean, BigQuery-ready records.
Why buyers pick this type of build
- Reduces manual finance work while preserving reconciliation and traceability.
- Useful when recurring browser or ERP workflows need operational control, not just scripts.
- Keeps downstream accounting, BI, and ops consumers working with validated outputs.
How delivery stays reliable
- Structured logs, validation steps, and predictable run behavior.
- Replay-safe processing paths designed to reduce duplicate work and broken publishes.
- Repository structure that another engineer can extend without re-learning the whole system.