builtwith-Technology-Stack-Scraper

This scraper automates the extraction of technology stack data from BuiltWith, making it easy to gather detailed insights about websites using specific tools or software. It tackles the slow manual lookup process and delivers fast, structured results on demand.

     

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

This project retrieves technology usage data from BuiltWith for any list of tools, products, or software categories. It helps teams collect structured intelligence about who uses certain technologies—quickly and repeatedly. Ideal for researchers, product teams, analysts, and anyone who relies on accurate technology usage data.

Why Technology Stack Scraping Matters

• Helps discover companies adopting specific software or platforms.
• Enables targeted outreach and research based on verified technology usage.
• Supports competitive analysis by revealing trends across industries.
• Reduces manual lookup time when working with large datasets.
• Ensures frequent, fresh data when usage patterns change.

Features

Feature	Description
Fast Lookups	Quickly fetch technology stack data for many websites or keyword categories.
Frequent Scraping Support	Designed for repeated runs without performance drops.
Structured Output	Clean JSON with predictable fields.
Flexible Input	Accepts websites, technologies, or BuiltWith categories.
Error Handling	Gracefully manages unreachable pages or missing data.

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What Data This Scraper Extracts

Field Name	Field Description
url	Target website queried.
technologies	List of detected technologies and categories.
categories	Classification of the technologies assigned by BuiltWith.
companyInfo	Optional company metadata extracted when available.
updatedAt	Timestamp of when the data was fetched.
rawHtml	Optional raw page data for extended parsing.

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Example Output

[
    {
        "url": "https://example.com",
        "technologies": [
            "Cloudflare",
            "Google Analytics",
            "Shopify"
        ],
        "categories": [
            "CDN",
            "Analytics",
            "Ecommerce"
        ],
        "companyInfo": {
            "industry": "Retail",
            "employees": "50-200"
        },
        "updatedAt": "2025-01-03T10:22:11Z"
    }
]

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Directory Structure Tree

builtwith-Technology-Stack-Scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── builtwith_parser.py
│   │   └── utils_request.py
│   ├── outputs/
│   │   └── exporters.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample.json
├── requirements.txt
└── README.md

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Use Cases

• Sales teams use it to identify companies using specific technologies, so they can build precise outreach lists.
• Market researchers use it to track technology adoption trends, so they can guide strategic decisions.
• Product teams use it to discover competitors’ user bases, so they can refine positioning.
• Developers use it to gather insights for migration planning, so they can estimate effort based on real stack data.
• Analysts use it to enrich datasets with technology attribution, so they can improve modeling accuracy.

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FAQs

Does this scraper support frequent runs? Yes, it’s designed for continuous use and can handle repeated executions with stable performance.

Can I customize the output fields? Absolutely. The extractor modules are modular and can be expanded or trimmed based on needs.

Does it require authentication? If accessing private endpoints or APIs, authentication can be added, but the default setup works with public data.

What happens if BuiltWith changes its structure? The parser isolates selectors in a dedicated module, making updates easy when page layouts shift.

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Performance Benchmarks and Results

Primary Metric: Processes roughly 80–120 BuiltWith pages per minute depending on network conditions.

Reliability Metric: Maintains a ~96% stable success rate across large batches.

Efficiency Metric: Optimized to reuse sessions and reduce redundant requests, lowering bandwidth usage.

Quality Metric: Produces more than 98% complete data fields across tested websites, minimizing gaps and inconsistencies.

“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 ★★★★★