Actor Echo Scraper is a lightweight utility that collects structured input data and stores it directly into a dataset. It focuses on simplicity and reliability, making it ideal for developers who need clean data output without complex integrations.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a simple mechanism to capture input payloads and persist them as structured dataset records. It removes unnecessary complexity and avoids external service dependencies. It’s built for developers who want predictable data handling with minimal setup.
- Accepts structured input and stores it as-is
- No external services or APIs required
- Designed for fast execution and low overhead
- Easy to integrate into larger automation workflows
| Feature | Description |
|---|---|
| Direct input storage | Saves incoming input directly into a dataset without transformation. |
| Zero dependencies | Runs independently with no reliance on third-party services. |
| Simple configuration | Minimal setup required to start collecting data. |
| Developer-friendly | Clean structure suitable for extension or customization. |
| Field Name | Field Description |
|---|---|
| input | The raw input payload provided at runtime. |
| timestamp | Time when the input was processed and stored. |
| metadata | Optional contextual information related to execution. |
Actor Echo/
├── src/
│ ├── index.js
│ ├── handler.js
│ └── utils/
│ └── dataset.js
├── data/
│ └── sample-output.json
├── package.json
├── package-lock.json
└── README.md
- Data engineers use it to store incoming job inputs, so they can validate pipelines quickly.
- Automation developers use it to log task parameters, so they can debug workflows easily.
- Backend teams use it to persist request payloads, so they can audit executions later.
- Prototype builders use it to capture raw inputs, so they can iterate without extra tooling.
Does this project transform or clean data? No. It stores the input exactly as received, making it suitable for raw data capture or debugging.
Is this suitable for high-volume workloads? Yes, for moderate workloads. Extremely high throughput scenarios may require batching or custom optimizations.
Can I extend it with custom logic? Absolutely. The codebase is intentionally minimal and easy to extend with additional processing steps.
Primary Metric: Average input processing time remains under 50ms per record.
Reliability Metric: Consistently achieves over 99.9% successful dataset writes in stable environments.
Efficiency Metric: Uses minimal memory and CPU due to its single-pass processing design.
Quality Metric: Maintains full data fidelity by storing inputs without modification.
"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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