How to Find the Tech Stack of Any Website (and Why Sales Teams Care)

What a company's website runs on is one of the most useful pieces of sales intelligence you can get for free. A business on WordPress with no marketing automation needs a different pitch from a Shopify store already using Klaviyo.

Here is how to find the tech stack of a website, manually and automatically.

Manual methods

Right-click a page and choose View Source, then search for telltale strings. Paths like /wp-content/ point to WordPress. A script from cdn.shopify.com means Shopify. js.hs-scripts.com means HubSpot tracking.

Response headers can reveal hosting, such as Cloudflare or Vercel. Browser extensions automate part of this, one site at a time.

Why it matters for outreach

Tech signals turn generic cold emails into relevant ones.

• No CRM or marketing automation detected: leads from the site may be handled manually.
• No analytics tag: the company may not know which pages drive enquiries.
• Heavy WordPress plugin use: page speed and maintenance are common pain points.
• Already on HubSpot: you can talk about getting more from existing tools instead of replacing them.

Doing it at scale

Checking 10 sites by hand is fine. Checking 500 is not. An Actor that analyzes a list of URLs can return the detected CMS, e-commerce platform, CRM, analytics, chat widgets and hosting for each one in a single run.

Disclosure: I built the AI B2B Lead Intelligence Actor, which does this alongside keyword extraction and contact discovery. It detects what is visible in the page and its headers, using signature matching across roughly 40 technologies.

Limits to know

Detection only sees what the page exposes. Server-side tools and anything loaded after heavy JavaScript rendering can be missed. A missing tag does not prove the company lacks the tool, only that you could not see it from the outside.

Phrase your outreach accordingly, for example: "From the outside, I could not spot..."

A simple workflow

• Build a target list of 100 companies in one niche.
• Run a tech-stack analysis on all of them.
• Filter to companies with a specific gap, such as no CRM tag.
• Write one tailored message per segment instead of one generic blast.

Segmenting by stack typically beats segmenting by company size alone, because it tells you what the company cares about right now.

Disclosure: I built the AI B2B Lead Intelligence Actor on Apify. You can try it for free here: https://apify.com/kazaz_organization/my-actor-1