Advanced Website Domain Name Validator Scraper

A fast, multi-layer domain analyzer built to reveal whether a website is active, moved, or inactive while extracting technologies, social profiles, and basic company details. It helps teams validate domains at scale and enrich datasets with reliable intelligence. This domain validator scraper reduces false positives through layered checks and returns structured website insights ready for automation and analysis.

     

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

This project validates whether a domain is still functional, redirects, has moved, or is no longer active. Beyond uptime checks, it captures technology stacks, social profiles, emails, and simple company metadata. It's designed for teams that maintain large domain datasets, enrich CRMs, or track changes in web properties.

Why Domain Intelligence Matters

• Helps eliminate outdated or dead domains from business datasets.
• Reduces bounce rates in outreach by confirming website activity beforehand.
• Automatically identifies what tools or platforms a site uses.
• Detects social media profiles tied to a brand for further enrichment.
• Captures signs of domain migration or corporate transitions.

Features

Feature	Description
Multi-step domain validation	Performs HTTP, HTTPS, browser rendering, and ping checks to confirm domain health.
Technology detection	Identifies analytics, advertising, CMS, tracking, and automation tools embedded in pages.
Social profile extraction	Finds associated LinkedIn, Facebook, Instagram, and other profile links.
Email scraping	Retrieves publicly available business emails when present.
Domain movement tracking	Detects redirects, rebranding, and domain ownership changes automatically.
Metadata enrichment	Extracts company names, descriptions, and on-page identifiers.

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What Data This Scraper Extracts

Field Name	Field Description
domain	The domain being validated.
website_is_up_browser	Whether the browser-rendered version of the site loads successfully.
website_onping	URL returned during ping or redirection checks.
techs_list	Array of detected technologies used by the website.
techs_csv_format	Same technologies returned as a CSV string.
scraped_linkedin	Extracted LinkedIn profile associated with the domain.
scraped_facebook	Extracted Facebook profile.
scraped_instagram	Extracted Instagram profile.
scraped_website_emails	Publicly available emails found on the website.
scraped_company_description	Short description inferred from metadata or content.
scraped_company_name	Company name when detectable.

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Example Output

{
  "domain": "silvr.co",
  "website_is_up_browser": true,
  "website_onping": "https://www.silvr.co/",
  "techs_list": [
    "hubspot",
    "google_call_conversion_tracking",
    "facebook_pixel",
    "facebook_ads",
    "hubspot_analytics",
    "ahrefs",
    "google_adsense",
    "google_ads",
    "google_tag",
    "doubleclick"
  ],
  "techs_csv_format": "hubspot,google_call_conversion_tracking,facebook_pixel,facebook_ads,hubspot_analytics,ahrefs,google_adsense,google_ads,google_tag,doubleclick",
  "scraped_linkedin": "https://www.linkedin.com/company/getsilvr/",
  "scraped_facebook": "https://www.facebook.com/getsilvr/",
  "scraped_instagram": "https://www.instagram.com/getsilvr/",
  "scraped_website_emails": "",
  "scraped_company_description": "",
  "scraped_company_name": ""
}

---

Directory Structure Tree

Advanced Website Domain Name Validator/
├── src/
│   ├── runner.py
│   ├── validators/
│   │   ├── http_checker.py
│   │   ├── browser_checker.py
│   │   └── ping_checker.py
│   ├── extractors/
│   │   ├── tech_detector.py
│   │   ├── social_parser.py
│   │   └── email_scraper.py
│   ├── utils/
│   │   ├── request_handler.py
│   │   └── html_helpers.py
│   ├── outputs/
│   │   └── formatter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• Sales teams validate prospect domains to ensure outreach goes to active, legitimate websites, improving conversion rates.
• Data enrichment platforms use it to append technology stacks and social profiles to existing datasets, raising data value.
• Researchers track domain migrations or expired sites to monitor digital footprints over time.
• Marketing teams clean outdated CRM entries so engagement efforts target real, functioning businesses.
• B2B SaaS tools integrate it into pipelines to maintain fresh domain intelligence at scale.

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FAQs

Does this scraper work with domains that redirect? Yes. It detects and returns the final redirect URL and can classify whether the domain has moved or rebranded.

Will it capture technologies even if the page loads scripts dynamically? The browser-rendering step increases detection accuracy for dynamic front-end frameworks.

Can it detect social media profiles not explicitly linked in navigation? It scans all discoverable page links, increasing the chances of locating hidden or embedded profile URLs.

What happens if a domain is temporarily down? The validation logic marks uncertainty but avoids false negatives by running multiple checks before classification.

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Performance Benchmarks and Results

Primary Metric: Typical validation time averages around a few seconds per domain, even with browser checks enabled.

Reliability Metric: Multi-layer testing provides a high accuracy rate when classifying active versus inactive domains, reducing false positives significantly.

Efficiency Metric: Optimized request handling ensures stable throughput, allowing large lists of domains to be processed consistently.

Quality Metric: Technology detection and metadata extraction regularly return high-completeness results, especially on well-structured websites.

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