The old way: I was manually pulling data from Gumroad, PayPal, Payhip, and matching transactions across services. It took 10+ hours weekly, every week. The frustration: I never had time to build the actual business. I was just doing accounting.
The Solution
A unified dashboard + automated reports that:
- Pulls sales data from multiple platforms automatically
- Matches transactions using unique identifiers (customer email + purchase date)
- Grouped by product, platform, and region
- Scheduled daily summaries emailed automatically
What We Built
- Unified Data Layer: Python script that queries Gumroad API, PayPal, and Payhip
- Transaction Matching Engine: Confirms whether a PayPal payment corresponds to a Gumroad order
- Daily Email Reports: Professional PDFs with revenue breakdowns sent at 8am UTC
- Weekly Deep Dives: More detailed analysis showing conversion funnels, platform performance
Results
- 32 hours saved per month (from 10 hours/week × 4 weeks)
- Revenue tracking now accurate within 24 hours of purchase
- Team can see real-time revenue without waiting for monthly statements
- Zero manual data entry errors since automation deployed
The Architecture
[Sales Platforms] → [Python Scraper] → [SQLite DB] → [Report Generator] → [Email/PDF]
↑ ↓
[Gumroad API] ← [PayPal IPN] ← [Payhip Webhook] [Daily 8am UTC]
Key Lessons
- Start with one platform — don't try to integrate everything at once
- Use webhooks when available — polling is brittle and rate-limited
- Store raw data first — transform later, don't lose the original
- Automate the boring part — let humans focus on analysis, not data entry
Next Steps for You
- List every platform where you receive payments
- Check which ones have APIs or webhooks
- Build a simple Python script to pull daily sales
- Schedule it with cron or launchd
- Add email delivery for daily summaries
If you found this useful, check out our Automation Starter Pack with ready-to-use sales tracking scripts, report templates, and automation playbooks:
Reclaim your hours. Build the business, not the spreadsheet. ⚡
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