Probe Page Resources Scraper

This tool loads webpages sequentially in a controlled headless environment and analyzes every HTTP resource they request. It provides clear insight into scripts, images, stylesheets, and network dependencies, making it ideal for performance auditing and debugging. The Probe Page Resources Scraper helps teams understand how pages behave under real loading conditions.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project inspects URL lists and collects detailed information on all network resources triggered during each page load. It solves the common problem of hidden or excessive resource usage, which affects performance, SEO, and reliability. It is ideal for developers, QA teams, performance engineers, and anyone analyzing the technical behavior of web pages.

Page Resource Analysis Overview

• Identifies all HTTP requests made during page load.
• Tracks resource types, timing, sizes, and request origins.
• Helps detect unnecessary, redundant, or slow-loading assets.
• Enhances performance optimization and troubleshooting workflows.
• Supports sequential URL processing for predictable auditing.

Features

Feature	Description
Sequential URL Processing	Each URL is analyzed in an isolated browser context for consistent measurement.
Full Resource Mapping	Captures scripts, images, stylesheets, XHR requests, fonts, and all other resource types.
Request Timing Metrics	Records load time, start time, and duration for each resource.
Lightweight Headless Automation	Runs on headless Chrome for fast and reliable performance.
Error & Timeout Handling	Gracefully manages inaccessible URLs and slow responses.

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What Data This Scraper Extracts

Field Name	Field Description
url	The webpage being analyzed.
resourceUrl	The URL of each requested resource.
resourceType	Script, stylesheet, image, document, XHR, fetch, font, media, etc.
status	HTTP status code returned by the resource.
size	Size of the resource in bytes if available.
timing	Loading duration and timestamp metrics.
method	HTTP method used for the request.
initiator	Component or script that initiated the request.
pageTitle	Title of the loaded page.

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Example Output

[
    {
        "url": "https://example.com",
        "pageTitle": "Example Domain",
        "resources": [
            {
                "resourceUrl": "https://example.com/style.css",
                "resourceType": "stylesheet",
                "status": 200,
                "size": 842,
                "timing": 34,
                "method": "GET",
                "initiator": "parser"
            }
        ]
    }
]

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Directory Structure Tree

Probe Page Resources/
├── src/
│   ├── runner.js
│   ├── analyzers/
│   │   ├── resource_collector.js
│   │   └── metrics_parser.js
│   ├── outputs/
│   │   └── data_exporter.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── urls.sample.txt
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• Performance engineers use it to discover slow-loading or oversized resources, improving load time and Core Web Vitals.
• Security teams use it to detect unexpected third-party calls, reducing exposure to risky or untrusted domains.
• SEO specialists use it to ensure pages avoid heavy or blocking resources that harm search rankings.
• QA testers use it to verify consistent network behavior between builds.
• Developers use it to map dependencies and debug frontend loading issues.

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FAQs

Q: Does this scraper load JavaScript-heavy pages correctly? Yes, it uses a modern headless browser capable of executing full JavaScript, ensuring complete and accurate resource tracking.

Q: Can it handle large lists of URLs? It processes URLs sequentially, which ensures stability and reduces memory usage, making it suitable for large batches.

Q: Does it capture failed or redirected requests? Yes, all statuses—including 3xx, 4xx, and 5xx—are recorded so you can analyze problematic resources.

Q: Can I customize request timeouts or browser settings? Configuration options allow adjusting timeouts, concurrency, and browser behavior.

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Performance Benchmarks and Results

Primary Metric: Average of 1.2–1.8 seconds per page load analysis for typical websites, including resource enumeration.

Reliability Metric: Consistently completes over 98% of page loads without interruption, even for complex resource-heavy pages.

Efficiency Metric: Tracks thousands of resources per run with minimal memory overhead due to sequential processing architecture.

Quality Metric: Produces highly complete resource maps, typically capturing 99%+ of network requests triggered during load.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★