A crawler health score should combine success rate, field completeness, response time, regional match, retry rate, and maintenance effort. Scrapingbypass Proxy monitoring is more useful when proxy signals and data quality signals are evaluated together.
When Crawler Health Score is worth measuring
A crawler can look healthy at request level while data quality is already degrading, so health scoring needs to include proxy signals and parsed output together.
Signals to check before Crawler Health Score
- Successful pages and failed pages.
- Key field completeness and empty page rate.
- Average response time and timeout rate.
- Regional output and market match.
- Retry count, queue backlog, and maintenance time.
How to decide on Crawler Health Score
| Area | Healthy signal | Warning signal |
| Success rate | Stable trend | Sudden drop |
| Field completeness | Key fields present | Loaded pages with missing fields |
| Region match | Language and market align | Currency or location mismatch |
| Retries | Low and explainable | Repeated retry loops |
How Crawler Health Score works in operations
If success rate is stable but field completeness drops, inspect page structure and regional output. If success rate and response time both worsen, reduce concurrency, extend backoff, or review the Scrapingbypass Proxy exit pool.
FAQ
What is a normal crawler health score?
Normal depends on the site and workflow. Build a 7 to 14 day baseline, then evaluate trend changes.
How do I separate proxy issues from parser issues?
Proxy issues often affect status, latency, or regional output. Parser issues often show loaded pages with missing fields.
Which Scrapingbypass Proxy metrics should be monitored?
Monitor regional exit, successful pages, response time, failure status, retry rate, and cost per valid record.
What should teams do when health drops?
Slow the job, preserve samples, and inspect page structure, regional output, pacing, and proxy exit behavior.