[May25] BuiltWith Bulk Technology Scraper - fast & low cost avatar
[May25] BuiltWith Bulk Technology Scraper - fast & low cost

Pricing

$5.00/month + usage

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[May25] BuiltWith Bulk Technology Scraper - fast & low cost

[May25] BuiltWith Bulk Technology Scraper - fast & low cost

Developed by

ScrapeGoats

ScrapeGoats

Maintained by Community

Extract tech stack data from any list of websites using BuiltWith. Fast, simple, and exportable.

5.0 (2)

Pricing

$5.00/month + usage

1

Total users

9

Monthly users

9

Runs succeeded

>99%

Last modified

4 days ago

⚙️ [Fast & Low Cost] BuiltWith Bulk Technology Profile Scraper


Scrape technology stacks from any list of websites using BuiltWith — fast and at scale. Just provide a list of URLs. Perfect for marketers, developers, analysts, or sales teams looking to analyze web tech usage.


🧠 What It Does

This scraper collects structured technology stack data from BuiltWith profiles and outputs a clean, exportable dataset in CSV or JSON format — ready for enrichment, targeting, or analytics.


🔧 Inputs

  • URL List (required):
    Provide a list of website URLs (e.g., stripe.com, zoom.us). The scraper will query BuiltWith for each.

⚙️ Note: You can optionally use a proxy (custom or Apify's) to rotate IPs and avoid blocks from BuiltWith.


🛠️ How to use

Just input all URLs manually or through a JSON file and get your data!


📤 Output Format

You’ll get structured technology profile data like this (CSV or JSON):

{
"domain": "chatgpt.com",
"Analytics and Tracking": [
"Statsig"
],
"Widgets": [
"Cloudflare Bot Manager",
"CrUX Dataset",
"CrUX Top 1000",
"CrUX Top 500k",
"Cloudflare Radar",
"Cloudflare Radar Top 50k",
"Cloudflare Turnstile",
"Smart App Banner"
],
"Frameworks": [
"Next.js",
"Remix",
"Java EE"
],
"Mobile": [
"Viewport Meta",
"IPhone / Mobile Compatible",
"Apple Mobile Web Clips Icon"
],
"Content Delivery Network": [
"jsDelivr",
"Cloudflare",
"Cloudflare Challenge",
"Cloudflare Automatic Challenge",
"Content Delivery Network"
],
"Payment": [
"Stripe"
],
"JavaScript Libraries and Functions": [
"jQuery",
"Intersection Observer",
"core-js",
"React",
"HTML5 History API"
],
"Verified Link": [
"GitHub",
"YouTube Link",
"Artificial Intelligence"
],
"Name Server": [
"3 to 9 ccTLD Redirects",
"Cloudflare DNS"
],
"Email Hosting Providers": [
"Dmarcian",
"SPF",
"DMARC",
"DMARC Reject"
],
"SSL Certificates": [
"LetsEncrypt",
"SSL by Default",
"HSTS",
"HSTS IncludeSubdomains PreLoad"
],
"Web Hosting Providers": [
"Cloudflare Hosting",
"403 Error"
],
"Operating Systems and Servers": [
"IPv6"
],
"Web Servers": [
"Microsoft Personal Web Server"
],
"Verified CDN": [
"Cloudflare CDN"
],
"Robots.txt": [
"Some Robots Disallow",
"Anthropic Claude Bot Disallow",
"ByteDance Bytespider Disallow",
"Common Crawl Bot Disallow",
"Facebook Bot Disallow",
"Google Bard Disallow",
"Webz Omgili Disallow"
],
"Web Master Registration": [
"Google Webmaster"
]
}

🎯 Common Use Cases

  • 🔍 Analyze the tech stack of competitor or prospect websites
  • 📊 Export clean data for market research and business intelligence
  • 🧲 Build contact lists based on technology usage (e.g., Shopify users)
  • ⚡ Runs fast, handles large URL lists efficiently
  • 🔌 Seamless integration with Apify for scheduling, proxies, datasets and webhooks

🧑‍🤝‍🧑 The team

  • 🐐 Developed and maintained by the ScrapeGoats.

  • 💬 Reach out on Discord if you're interested in custom scrapers or want to suggest new use cases.