Concurrency limits
api reference1 section
🚀 Concurrency Limits
How Many Concurrent Threads Can I Use?
Scrappey allows all new registered users to start with up to 200 concurrent threads by default.
This is more than enough for the majority of use cases and ensures smooth performance and fair resource distribution.
If your project requires more, Scrappey makes it easy to scale.
📈 Scaling Beyond 200 Threads
We automatically allow increases up to 1000 concurrent threads without manual review, provided:
- Your overall success rate is above 50%.
- You are following our general API guidelines.
- You are not abusing endpoints.
🔓 Special Cases / Higher Limits
If you require more than 1000 concurrent threads, this is no problem — simply reach out to support with a short explanation of your use case.
We generally approve higher limits quickly for:
- Heavy scraping infrastructure
- Large-scale AI training datasets
- Long-running workflows that require high throughput
There is no hard upper limit as long as your use case fits within reasonable resource bounds and success rates remain healthy.
✅ Quick Summary
| User Type | Threads Allowed | Requirements |
|---|---|---|
| New Account | Up to 200 | None |
| Active Account | Up to 1000 | > 50% success rate |
| Special Request | > 1000 | Case-by-case approval |
💡 Tips for Scaling Smoothly
- Monitor your success rate regularly in the dashboard.
- Increase threads gradually to avoid sudden overload.
- If you encounter issues, check error codes in the docs first.
Last updated: July 18, 2025