How to Find a Company's Technology Stack: The Ultimate Guide for Sales & Recruitment

Q: Can I use tech stack data for B2B sales prospecting?

Yes. Technographic data—knowing what technologies a company uses—is one of the most powerful lead qualification signals available to B2B sales teams. Companies using Shopify Plus are scaling e-commerce; companies on Salesforce are investing in CRM; companies that just migrated to AWS are modernising infrastructure. Each signal implies budget, intent, and fit.

Q: How do recruiters use tech stack information?

Recruiters scan company websites to confirm which technologies a company actively uses before reaching out to candidates or clients. This verifies that a Python candidate will actually work in Python at a given company, not just that the job listing says so.

Why a Company's Tech Stack Matters for Sales and Recruitment

Technology decisions are business decisions. The stack a company runs tells you:

Budget signals: A company running AWS, Salesforce, and HubSpot has a significant technology budget. A company running shared hosting and Mailchimp has a smaller one.
Growth signals: A startup that just migrated from WooCommerce to Shopify Plus is investing in e-commerce growth. They are likely buying fulfillment software, loyalty platforms, and headless commerce tools right now.
Pain points: Companies on outdated CMSs or legacy monoliths are prime targets for migration services, consulting, and modernisation tooling.
Cultural signals for recruiters: A React shop is not going to appreciate a purely Angular candidate. A company committed to Kubernetes is not going to hire a developer who has never touched containers.

This intelligence—called technographic data—is one of the most underutilised assets in B2B sales and technical recruitment. The tools to collect it are free and instant.

Method 1: Website Technology Scanner (Fastest)

The simplest and most reliable method is to scan the company's website with a dedicated technology detection tool.

Using WebReveal

WebReveal is a free, no-login-required technology scanner that detects a company's full stack in seconds. Simply enter the company's domain and get a detailed breakdown of:

CMS / E-commerce platform: WordPress, Shopify, Webflow, HubSpot CMS, Contentful
Frontend framework: React, Vue, Angular, Next.js, Nuxt, Svelte
Hosting & infrastructure: AWS, Google Cloud, Azure, Vercel, Netlify, Cloudflare
CDN: Cloudflare, Fastly, Akamai, AWS CloudFront
Analytics: Google Analytics, Mixpanel, Amplitude, Segment
Marketing tools: HubSpot, Marketo, Intercom, Drift, Hotjar
Payment infrastructure: Stripe, PayPal, Recurly

The WebReveal Chrome Extension lets sales reps and recruiters passively see a company's stack in a toolbar popup as they browse—no context switching required.

For high-volume prospecting, the WebReveal API lets you scan thousands of domains programmatically and enrich your CRM with technographic data at scale.

Method 2: View Page Source and HTTP Headers

For a manual deep-dive, your browser's developer tools reveal a surprising amount of stack information directly.

Inspecting the HTML source

Right-click any page and select "View Page Source" (or press Ctrl+U / Cmd+U). Look for:

<meta name="generator"> — often names the CMS (WordPress, Drupal, Ghost)
Script src attributes — /_next/ paths confirm Next.js; /wp-content/ confirms WordPress; cdn.shopify.com confirms Shopify
JavaScript globals — window.React, window.__NUXT__, window.angular visible in the browser console
CSS class patterns — Tailwind's utility classes (text-sm, flex, rounded-lg) or Bootstrap's grid classes are highly distinctive

Reading HTTP response headers

Open Developer Tools (F12), navigate to the Network tab, reload the page, and inspect response headers on the main document request:

X-Powered-By: Express — Node.js / Express backend
X-Powered-By: PHP/8.x — PHP backend (likely WordPress or Laravel)
Server: Netlify or X-Vercel-Id — hosting platform
CF-Ray — Cloudflare CDN
X-Shopify-Stage — Shopify platform

Method 3: Job Listings and LinkedIn

Job listings are one of the richest sources of technographic intelligence because companies inadvertently reveal their entire stack in the requirements section.

When a company posts a "Senior Backend Engineer" role requiring "5+ years Python, FastAPI, PostgreSQL, Redis, and AWS," you have a near-complete picture of their backend stack without scanning anything.

Key sources:

LinkedIn Jobs — filter by company and "skills" to extract tech requirements at scale
Greenhouse / Lever / Ashby — many startups use these ATS systems, which are publicly accessible
Indeed / Glassdoor — aggregate job data that can be cross-referenced with company domain
LinkedIn company "Skills" section — endorsements aggregate technology signal from employees

Limitation: Job listings show what a company wants to use, not always what they currently use. A direct website scan with WebReveal shows what is actually deployed in production today.

Method 4: GitHub and Open-Source Repositories

Many companies maintain public repositories on GitHub that expose their stack directly. Even private companies often have:

Public repositories for open-source libraries they maintain
Employee personal repositories that hint at company tooling
package.json, requirements.txt, Gemfile, or go.mod files in public repos that list exact dependencies and versions

GitHub organisation pages (github.com/[company-name]) sometimes list multiple repositories with identifying stack files. A company whose public repos show Dockerfile configurations, Terraform modules targeting AWS, and a package.json heavy on Next.js dependencies is clearly a cloud-native TypeScript shop.

Method 5: Vendor Case Studies and Press Releases

Technology vendors love to publish case studies about their customers. A Vercel case study, an AWS success story, or a Stripe press release naming a specific company tells you exactly which platforms that company uses—and confirms they are paying customers, not just evaluating.

Search: "[Company Name]" case study site:vercel.com or "[Company Name]" customer site:stripe.com to find these quickly.

Sales Use Cases: Qualifying Leads with Technographics

Technographic data transforms cold outreach into warm, contextually relevant conversations. Here are the highest-impact use cases for B2B sales teams in 2026:

E-commerce Platform Migration Targeting

Companies that recently migrated to Shopify or upgraded to Shopify Plus are in an active buying cycle for:

Loyalty and retention platforms (Yotpo, LoyaltyLion)
Email marketing tools (Klaviyo, Attentive)
Headless commerce solutions
3PL and fulfillment integrations

Use WebReveal to scan your entire prospect list and filter for Shopify domains. These companies are your highest-intent buyers.

Cloud Migration Targeting

Companies still running on on-premise servers or shared hosting are prime targets for cloud migration services. Companies that just moved to AWS or Azure are actively evaluating managed Kubernetes, CI/CD tools, observability platforms, and cloud cost optimisation software.

CRM and Marketing Stack Targeting

A company that just installed HubSpot is likely hiring sales and marketing staff, buying sales engagement tools, and investing in data enrichment. A company running Marketo at mid-market scale is likely evaluating ABM platforms, intent data providers, and sales intelligence tools.

The "Installed but Missing" Angle

WebReveal shows not just what a company has, but—by comparison to peer companies—what they are likely missing. A React-heavy startup without any error monitoring (no Sentry, DataDog, or LogRocket signals) is a prime prospect for an observability platform.

Recruitment Use Cases: Finding the Right Technical Fit

Technical recruiting has a fundamental trust problem: job descriptions often list aspirational technologies, not the production stack. A WebReveal scan provides ground truth.

Verifying Stack Authenticity

Before presenting a Python specialist to a client, scan the company's domain. If the site runs on Node.js with no Python signals whatsoever, the "Python backend" in the job listing may refer to a single data script, not the core product. Your candidate expects to work in Python daily—verify first.

Identifying Fast-Moving Companies

A company that has recently adopted Kubernetes, moved to a microservices architecture, or integrated AI tooling (detectable via API calls to OpenAI or third-party AI services) is likely hiring aggressively. They are building, not maintaining.

Employer Branding Research

Candidates care deeply about the stack they will work in. A modern Next.js + Vercel + Supabase deployment signals engineering-led culture. A legacy LAMP stack signals a maintenance-heavy environment. Tech stack data helps recruiters match candidate expectations to reality.

Tech Stack Lookup Tool Comparison (2026)

Tool	Free Tier	Depth	API Access	Best For
WebReveal	Unlimited	Full stack	Yes	Sales, recruiting, research
BuiltWith	Limited	Full stack	Paid only	Enterprise sales teams
Wappalyzer	Limited	Full stack	Paid only	Browser-based research
WhatRuns	Unlimited	Moderate	No	Quick one-off checks
Browser Dev Tools	Free	Partial	N/A	Manual deep-dives
Job listings (manual)	Free	Aspirational	N/A	Intent + culture signals

Frequently Asked Questions

How do I find out what technology stack a company uses?

The fastest method is to scan the company's website with WebReveal—a free technology detection tool that identifies the CMS, frontend framework, hosting provider, analytics, and marketing tools in seconds. No login or payment required.

Can I use tech stack data for B2B sales prospecting?

Yes. Technographic data is one of the most powerful lead qualification signals available to B2B sales teams. Knowing that a company just installed Shopify Plus, moved to AWS, or added HubSpot tells you exactly what they are buying right now—and which adjacent services they need next.

How do recruiters use tech stack information?

Technical recruiters scan company websites to confirm which technologies are actually in production before placing candidates. This prevents the common problem of job descriptions listing aspirational technologies that are not yet in use.

Is it legal to scan a company's website for technology information?

Yes. Technology detection tools analyse publicly accessible information that any browser receives when visiting a website—the same HTML, CSS, JavaScript, and HTTP headers that every visitor receives. This is not hacking or unauthorised access; it is reading public information.

What is technographic data?

Technographic data is information about the technologies a company uses—their CMS, cloud provider, marketing platforms, analytics tools, e-commerce systems, and more. It is the technology equivalent of firmographic data (company size, revenue, industry) and is used to qualify leads, personalise outreach, and identify buying intent.