FeedPrep vs. Custom Scripts
Your Python script works until the person who wrote it leaves. FeedPrep works for the whole team.
| Capability | Custom Scripts (Python, PHP, Node) | FeedPrep |
|---|---|---|
| Who can use it | Only the developer who wrote it. | Anyone on the team. Visual interface. |
| Adding a new supplier | Write new code. Test. Deploy. | Upload file. Map columns. Done. |
| When supplier changes format | Script breaks. Developer debugs. | Alert shown. Update adapter visually. |
| Maintenance cost | Ongoing developer time. Bug fixes. Dependencies. | $39-149/mo. No maintenance. |
| Documentation | Probably a README. Probably outdated. | Self-documenting. Adapters show all mappings. |
| Error handling | Whatever the developer built. Often silent failures. | Feed health reports. Inbox alerts. Diff viewer. |
| New value handling | Script passes through or crashes. | Unknown values flagged for review. |
| Multiple export formats | Write another script per format. | Export templates. Configure once. |
| Bus factor | 1 (the developer). | The whole team. |
| Time to build | Weeks to months for robust solution. | 15 minutes for first supplier adapter. |
The Script Problem
Custom scripts start simple: a quick Python script to remap columns and normalize some values. Then you add another supplier. And another. Soon you have 15 scripts with shared utility functions, a config file nobody updates, and one developer who understands the whole thing.
When that developer is on vacation and Supplier X changes their column names, the import breaks and nobody knows how to fix it. When someone new needs to add a supplier, they have to read code they didn't write.
FeedPrep replaces this with a shared, visual tool. Non-technical team members can map columns, set rules, and process feeds. The logic is visible in adapters, not hidden in code. And when something changes, you get an alert instead of a crash.
When Scripts Make Sense
If you have a single, stable data pipeline that rarely changes and a dedicated developer maintaining it, a custom script might be the right tool. If your transformation logic involves complex business rules beyond column/value mapping, you might need custom code.
FeedPrep is the better choice when you have many suppliers, frequent format changes, and non-developers who need to manage the process. It's also the right choice when you'd rather pay $39-149/mo than maintain infrastructure.
The Cost Comparison
Custom Scripts
Initial build: 80-200 hours
Maintenance: 10-20 hours/month
At $100/hr: $1,000-2,000/mo
FeedPrep
Setup: 15 min per supplier
Maintenance: 0 hours
Cost: $39-149/mo
Replace Fragile Scripts With Shared Tooling
Try FeedPrep free for 14 days. Your whole team can use it, not just the developer.
Start Free Trial