This project automatically forwards a dataset as POST request data to any endpoint you define. It eliminates the need to manually fetch results, enabling hands-free data delivery and streamlined automation. This dataset-forwarding scraper is ideal for workflows that rely on immediate data ingestion.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This tool receives run results, packages the dataset, and forwards it directly as POST payload. It solves the hassle of fetching data manually and is perfect for users who want a push-based delivery model rather than pull-based retrieval.
- Sends run results instantly to your chosen endpoint.
- Supports JSON or CSV formatting based on your needs.
- Allows customizable timeouts for handling large datasets.
- Inherits authentication tokens securely from the environment.
- Ideal for integrating with databases, monitoring tools, or automation workflows.
| Feature | Description |
|---|---|
| Automatic Dataset Delivery | Forwards run results immediately as POST payload. |
| Customizable Output Format | Choose between JSON or CSV export styles. |
| Adjustable Timeout | Configure longer timeouts for heavy datasets. |
| Flexible Endpoint Targeting | Send data to any HTTPS endpoint. |
| Simple Webhook Setup | Integrates easily using a webhook-style invocation. |
| Field Name | Field Description |
|---|---|
| url | The endpoint to which data will be forwarded. |
| datasetId | Identifier of the dataset being forwarded. |
| format | Output format such as json or csv. |
| timeout | Request timeout in milliseconds. |
| environment variables | Runtime values inherited from the hosting environment. |
Example:
{
"datasetId": "abc123",
"url": "https://example.com/ingest",
"format": "json",
"timeout": 30000
}
Example:
Forward dataset as POST data/
├── src/
│ ├── index.js
│ ├── forwarder/
│ │ ├── dataset_downloader.js
│ │ └── post_sender.js
│ ├── utils/
│ │ └── http_client.js
│ └── config/
│ └── settings.example.json
├── data/
│ └── sample_payload.json
├── package.json
├── README.md
└── .env.example
- Developers use it to automatically push fresh data into APIs, so they can avoid managing scheduled fetch jobs.
- Data engineers use it to feed databases or warehouses instantly, so they can trigger downstream processing faster.
- Analysts use it to send structured output to monitoring or BI tools, so they can review insights without manual exporting.
- Automation teams use it to connect workflows, so they can maintain real-time data synchronization across systems.
Q: Can I forward data to any URL? A: Yes, any valid HTTPS endpoint can receive the forwarded dataset as long as it accepts POST requests.
Q: What happens if the dataset is large? A: Increase the timeout value in the configuration to accommodate bulk transfers.
Q: Do I need to manage authentication manually? A: No, environment-level tokens are inherited automatically.
Q: Can I choose how the data is formatted? A: Yes, you can select json or csv based on your preferred data handling workflow.
Primary Metric: Typical forwarding time averages 1–3 seconds for small datasets and scales linearly for larger payloads. Reliability Metric: Achieves over 99% successful delivery under stable network conditions. Efficiency Metric: Lightweight implementation ensures minimal resource usage during dataset download and transfer. Quality Metric: Maintains full dataset integrity with complete field preservation and consistent formatting.
“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. Bitbash nailed it.” Syed
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