RIV-SerieB-Classifica Scraper

This project provides a simple, flexible template for scraping a single web page using JavaScript. It fetches the HTML, parses it with Cheerio, and outputs structured data—perfect for quick extraction tasks, lightweight projects, or turning a static page into usable information. If you want a no-frills way to scrape headings or customize extraction logic, this scraper gives you a clean starting point.

     

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Introduction

The scraper retrieves HTML from a given URL and extracts page headings by default. It’s built for developers, analysts, and hobbyists who need a small, focused scraping tool without unnecessary complexity. You can easily modify it to pull any type of data—tables, lists, metadata, or structured page components.

What You Can Do With It

• Fetch HTML from any publicly accessible URL.
• Parse headings or swap in custom selectors for tailored extraction.
• Extend the template into a full scraper with minimal effort.
• Use Axios and Cheerio for fast, lightweight processing.
• Store results as uniform dataset entries for simple downstream use.

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Features

Feature	Description
Axios-Based Fetching	Downloads HTML content quickly and reliably.
Cheerio DOM Parsing	Enables CSS-style selection and easy extraction of page elements.
Structured Dataset Output	Produces consistent objects for predictable processing.
Editable Template	Simple to customize for any scraping need.
Input Schema Support	Validates required fields like page URL.
Lightweight Footprint	No heavy browser automation—efficient and fast.

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What Data This Scraper Extracts

Field Name	Field Description
url	URL of the page that was scraped.
heading	Extracted heading text from the page.
...	The template can be modified for any custom fields you need.

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Example Output

[
  {
    "url": "https://example.com",
    "heading": "Welcome to Example"
  },
  {
    "url": "https://example.com",
    "heading": "Latest News"
  }
]

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Directory Structure Tree

RIV-SerieB-Classifica/
├── src/
│   ├── main.js
│   ├── scraper/
│   │   └── heading_parser.js
│   ├── utils/
│   │   ├── fetch.js
│   │   └── dataset.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• Developers use it as a starting point for building custom scrapers tailored to specific pages.
• Researchers extract headings or structured snippets to analyze site content at a glance.
• Educators demonstrate basic scraping concepts with Axios and Cheerio.
• Automation builders integrate quick HTML extraction into workflows without heavy tooling.
• SEO specialists gather headings and structure from web pages for optimization work.

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FAQs

Can it scrape more than headings?
Yes—just update the Cheerio selectors to capture any page element you want.

Does it require a headless browser?
No, it uses HTTP requests and DOM parsing for lightweight operation.

Is the input schema strict?
It validates necessary fields like the page URL but remains flexible for customization.

Can I store additional fields?
Absolutely; the dataset can include any structure you choose.

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Performance Benchmarks and Results

Primary Metric:
Fetches and parses typical HTML pages in under a second using direct HTTP requests.

Reliability Metric:
Achieves near-perfect success rates on static HTML pages due to minimal moving parts.

Efficiency Metric:
Consumes minimal bandwidth and memory thanks to Axios + Cheerio’s low overhead.

Quality Metric:
Produces clean, consistent extracted values as long as selectors match the page structure.

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