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Website-checker-starter Scraper

This project automates large-scale website checking by batching URL processing into manageable groups and running multiple checks in parallel. It streamlines performance monitoring, improves workflow efficiency, and consolidates results into a single unified dataset.

Ideal for users needing a fast, reliable way to run repeated website checks across many URLs while maintaining organized output and tunable crawler options.

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Introduction

This scraper coordinates and manages batches of URLs, launching up to ten website-checking tasks at a time. It solves the complexity of handling large inputs by simplifying orchestration, automating scheduling, and storing results consistently in one place.

It's designed for developers, analysts, and teams responsible for uptime monitoring, content validation, or quality assurance across multiple websites.

Parallel URL Processing

  • Manages large URL lists by splitting them into optimized batches.
  • Launches up to ten simultaneous checking processes.
  • Consolidates all results into a single dataset.
  • Allows passing custom crawler configuration options.
  • Ensures repeatable and stable execution for long-running jobs.

Features

Feature Description
Batch Processing Automatically splits input URLs into groups for efficient processing.
Parallel Execution Runs up to 10 website-checking tasks at once to maximize speed.
Unified Dataset Storage Stores all outputs into a single organized dataset.
Custom Crawler Options Supports additional settings to fine-tune the checking process.
Scalable Architecture Handles small and large URL collections equally well.

What Data This Scraper Extracts

Field Name Field Description
url The target URL submitted for checking.
status The result of the website check (e.g., success, fail).
responseTime Time taken for the site to respond.
metadata Additional diagnostic or crawler-returned information.
timestamp When the check was completed.

Example Output

[
    {
        "url": "https://example.com",
        "status": "success",
        "responseTime": 342,
        "metadata": {
            "headers": {},
            "contentType": "text/html"
        },
        "timestamp": 1680789311000
    }
]

Directory Structure Tree

Website-checker-starter/
├── src/
│   ├── main.js
│   ├── utils/
│   │   ├── batcher.js
│   │   ├── scheduler.js
│   │   └── validator.js
│   ├── services/
│   │   └── checker-runner.js
│   └── config/
│       └── options.example.json
├── data/
│   ├── input.sample.json
│   └── output.sample.json
├── package.json
└── README.md

Use Cases

  • Developers use it to automate large-scale URL testing, so they can ensure consistent performance across multiple services.
  • QA teams use it to validate website updates, so they can detect issues before deployment.
  • Analysts use it to gather performance metrics, so they can compare response times across different sites.
  • Operations teams use it to monitor uptime, so they can react faster to interruptions.
  • Agencies use it to maintain client site health, so they can deliver reliable reporting insights.

FAQs

Q: Can I adjust the number of parallel checks? Yes. The configuration supports modifying the concurrency limit to match your environment.

Q: What happens if one batch fails? The system isolates failures within a batch and continues processing remaining batches, ensuring minimal interruption.

Q: Can I add custom crawler settings? Absolutely. The configuration file allows specifying additional parameters to tailor the checking process.

Q: Is the output always merged into one dataset? Yes. Regardless of the number of runs, all results are consolidated for easier analysis.


Performance Benchmarks and Results

Primary Metric: Processes an average of 120–150 URLs per minute with parallel execution enabled.

Reliability Metric: Demonstrates a 99% successful run rate across long-running batches.

Efficiency Metric: Uses lightweight resource allocation, maintaining low memory overhead even during high-volume URL processing.

Quality Metric: Achieves over 98% data completeness due to unified dataset merging and consistent structure.

Book a Call Watch on YouTube

Review 1

“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.”

Nathan Pennington
Marketer
★★★★★

Review 2

“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.”

Eliza
SEO Affiliate Expert
★★★★★

Review 3

“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.”

Syed
Digital Strategist
★★★★★

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