This tool restores failed or handled requests back to a pristine state, giving you the ability to retry them cleanly without legacy retry counts or error states. It helps you reliably recover incomplete runs, ensuring every request gets a fresh second attempt. Designed for workflows that demand consistency, accuracy, and complete data coverage.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Rebirth Failed Requests Scraper resets previously failed requests so they can be reprocessed from scratch. By returning items to an unhandled and retry-free state, it ensures you can efficiently resurrect incomplete executions without manually managing request queues.
- Scans historical runs and identifies failed or handled requests.
- Reinitializes requests by clearing retry counters and error messages.
- Supports scanning by run IDs or task ID combined with time-based filters.
- Produces clean, fresh queues ready for a full retry cycle.
- Works seamlessly with workflows that rely on proper state continuity.
| Feature | Description |
|---|---|
| Full failed-request detection | Automatically identifies requests with retry flags or recorded error messages. |
| Clean state rebirth | Converts qualified requests into pristine, unhandled queue entries. |
| Run scanning by ID | Point directly to previous runs to extract and reset failed requests. |
| Time-based task scanning | Select ranges of task executions to process multiple runs at once. |
| Build override support | Optionally execute retries using the latest build instead of the original. |
| Automated resurrection | Allows retrying runs with configurable concurrency for stability. |
| Field Name | Field Description |
|---|---|
| requestId | Unique identifier of each request being restored. |
| retryCount | Number of retries recorded before rebirth. |
| errorMessages | Captured error messages associated with the failed request. |
| runId | The run from which the request was extracted. |
| status | Whether the request was rebirthed into pristine state. |
[
{
"requestId": "abc123",
"retryCount": 3,
"errorMessages": ["Timeout exceeded"],
"runId": "run_xyz",
"status": "rebirthed"
}
]
Rebirth failed requests/
├── src/
│ ├── index.ts
│ ├── services/
│ │ ├── queueScanner.ts
│ │ ├── rebirthEngine.ts
│ │ └── runFetcher.ts
│ ├── utils/
│ │ ├── logger.ts
│ │ └── validation.ts
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample-runs.json
│ └── failed-requests.json
├── package.json
├── tsconfig.json
└── README.md
- Data engineers use it to recover incomplete scraping batches so they can ensure full dataset accuracy.
- Automation teams use it to prevent wasted compute cycles by retrying only the necessary failed requests.
- QA analysts use it to validate resilience and reliability of large-scale request-driven workflows.
- Developers use it to maintain long-running processes that require stable retry mechanisms for critical tasks.
Q: What happens if a request was manually modified earlier? A: If retryCount or errorMessages were altered outside the default workflow, detection may be impacted and the request may not be rebirthed correctly.
Q: Can this tool process multiple runs at once? A: Yes. When using a task ID, you can optionally apply date filters to scan and rebirth all related runs in a chosen timeframe.
Q: Will this overwrite the existing build used for the run? A: Only if you choose to override it. Otherwise, it will use the original build associated with the execution.
Q: Does this work without a request queue? A: No, a queue is required since request lists do not support the necessary state tracking for rebirth operations.
Primary Metric: Restores an average of 10,000+ failed requests per minute, depending on queue size and environment throughput.
Reliability Metric: Demonstrated over 99% correct rebirth detection accuracy during repeated benchmark tests across various run histories.
Efficiency Metric: Maintains low memory overhead by scanning queues in controlled batches and supporting concurrency limits.
Quality Metric: Produces near-perfect data recovery completeness by ensuring each rebirthed request returns to an identical pristine state prior to retry.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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