Note: when there are more than three parsers and each is launched via crontab or manual API calls, control is lost. Logs are scattered across files, statuses are unknown, and a non-technical employee cannot start data collection without you. A web interface solves this: it turns a CLI tool into a product that managers and analysts can use. We take over the development of such an interface completely — from design to deployment. In 6–10 business days, you get a dashboard with real metrics, a no-programming configurator, and real-time error monitoring. For example, one of our clients combined 25 disparate parsers into a single panel — time to check statuses dropped from 2 hours to 5 minutes, and data duplication errors disappeared.
Why a Web Interface Is Essential
Working with parsers via the console limits the team. A web interface provides a dashboard with activity, errors, and collected records in real time. Without it, you have to manually check logs and statuses — for 50 parsers, this takes up to 3 hours per day. With an average employee salary of $15 per hour (as an example), the savings from implementing an interface can reach up to $2,250 per month. Our interface automates control and cuts reaction time to failures to under a minute.
How We Do It
Stack: React 18, TypeScript, Vite for building. For data, we use TanStack Query — it automatically re-fetches task statuses every 30 seconds. Tables with sorting and filtering — TanStack Table. Real-time monitoring — SSE. SSE is 10x more efficient than polling in terms of server load, and update latency is 1–5 ms vs 10–30 s with polling. As a result, users see changes instantly, and the server handles up to 1000 concurrent connections without performance loss.
How Real-Time Monitoring Works
We implement Server-Sent Events (SSE) — a lightweight push notification protocol from the server. When a bot starts, the server sends progress updates. The client subscribes via EventSource. The code below shows a component that displays progress and errors.
import { useEffect, useState } from 'react'; interface RunProgress { status: 'pending' | 'running' | 'completed' | 'failed'; processed: number; total: number; errors: number; } function ScraperRunProgress({ runId }: { runId: number }) { const [progress, setProgress] = useState<RunProgress | null>(null); useEffect(() => { const es = new EventSource(`/api/v1/runs/${runId}/progress`); es.onmessage = (e) => setProgress(JSON.parse(e.data)); es.onerror = () => es.close(); return () => es.close(); }, [runId]); if (!progress) return <Spinner />; const pct = progress.total > 0 ? Math.round(progress.processed / progress.total * 100) : 0; return ( <div className="space-y-2"> <div className="flex justify-between text-sm"> <span>{progress.processed} / {progress.total}</span> <span className="text-red-500">{progress.errors} errors</span> </div> <Progress value={pct} /> </div> ); } Source: MDN: Server-Sent Events
Parser Configurator
A form with fields: source URL, schedule (cron-picker), headers, proxy settings, drag-and-drop field mapping. The user can configure a parser without programming knowledge. For example, to collect 10,000 products from a marketplace, just specify the catalog and select fields — the interface generates the rest automatically. We also add record uniqueness checks to avoid duplicates, reducing errors to 1%.
What You Get
| Component | Description |
|---|---|
| Dashboard | Summary statistics, charts, latest errors |
| Task List | Table with filtering, sorting, statuses |
| Configurator | Source, schedule, headers, proxy settings |
| Data Viewer | Results table, search, CSV export |
| Monitoring | SSE progress updates, error notifications |
| Documentation | Usage instructions, API description |
Comparison of Monitoring Methods
| Characteristic | SSE | Polling | WebSocket |
|---|---|---|---|
| Update latency | 1–5 ms | 10–30 s | 1–5 ms |
| Server load | Low | Medium | High |
| Implementation complexity | Low | Low | Medium |
| Browser support | All modern | All | All |
Work Process
- Requirements analysis: which sources to parse, what data to collect, how often.
- Architecture design: database schemas, API, WebSocket/SSE.
- Dashboard prototype development with basic functionality.
- Integration with existing parsers (or creation of new ones).
- Testing: unit tests, integration tests, load tests (up to 100,000 records).
- Deployment to the client's server or cloud.
- Documentation and team training.
Common Mistakes When Developing Without Us
- Polling instead of SSE — 10x server load overhead.
- No pagination — interface freezes with 50,000+ records.
- Tight coupling to one source — cannot add a new parser.
Timeline and Guarantees
Development of a typical web interface — from 6 to 10 business days. We guarantee stable operation and bug fixes after deployment. Our team has over 5 years of experience in parsing system development. Investment in development pays off in 2–3 months due to employee time savings.
Contact us to assess your project and get a consultation. Order the development of a web interface for managing bot parsers.