Website Tech Stack Detector - CMS, Ecommerce & Martech
Pricing
from $1.25 / 1,000 website analyzeds
Website Tech Stack Detector - CMS, Ecommerce & Martech
[💵 $2.00 / 1K] Detect the technologies a website runs - CMS, ecommerce platform, analytics, marketing, chat, payments, frameworks, CDN - with lead-qualifier tags.
Pricing
from $1.25 / 1,000 website analyzeds
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0.0
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Developer
WebData Labs
Maintained by CommunityActor stats
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3
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2
Monthly active users
18 days ago
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Find out what technologies any website runs - CMS, ecommerce platform, analytics, marketing, chat, payments, JavaScript frameworks, and CDN - with ready-made lead-qualifier tags.
Website Tech Stack Detector takes a list of domains and returns each site's technology profile as clean JSON/CSV rows. Built for B2B sales, agencies, competitive-intelligence, and recruiters who want to qualify and segment companies by the tools their websites use - not screenshots or guesswork.
✅ What you get / ❌ what this isn't
| This Actor gives you | This Actor is not |
|---|---|
| One row per site with detected technologies grouped by category | Not a full historical technology archive |
| Single-value fields for ecommerce platform, CMS, framework, and CDN | Not a vulnerability scanner |
| Lead-qualifier tags (is_ecommerce, has_live_chat, takes_payments, and more) | Not affiliated with Wappalyzer or BuiltWith |
| Confidence-scored, precise detection that avoids naive false positives | Not a guarantee of every tool a site uses internally |
| Graceful handling of bot-protected sites (status + partial detection) | Not a private-data scraper |
🔎 Why use this Actor
- Qualify and segment a lead list by ecommerce platform, CRM, or martech.
- Build a target list of sites using a specific technology (Shopify, HubSpot, Intercom).
- Audit a competitor's marketing and analytics stack.
- Enrich CRM records with technographic data.
- Feed technology rows into spreadsheets, BI tools, or LLM workflows.
🗂️ What data you get
| Field | Type | Description |
|---|---|---|
domain | string | Normalized domain |
statusCode | number | HTTP status of the fetch |
technologies | array | Detected tech: name, category, confidence |
byCategory | object | Technologies grouped by category |
categories | array | Categories present on the site |
ecommercePlatform, cms, jsFramework, cdn | string | Convenience single-value fields |
leadTags | array | Qualifier tags such as is_ecommerce, has_live_chat |
server | string | Server header when present |
protected | boolean | Whether the site returned a bot-protection status |
👥 Who it's for
- B2B sales and SDR teams building technographic target lists.
- Agencies auditing prospect and competitor stacks.
- Competitive-intelligence and market-research analysts.
- Recruiters sourcing companies by tech stack.
- Data teams enriching CRM or lead datasets.
Example tasks
- Detect the tech stack of a list of websites
- Find websites using Shopify
- Audit a competitor marketing and analytics stack
⚙️ How to detect a website's tech stack
- Open the Actor on Apify.
- Paste one or more domains or URLs.
- Keep Apify Proxy on for the most reliable fetches.
- Run the Actor.
- Open the dataset
Websitesview. - Export JSON, CSV, Excel, HTML, RSS, or XML, or call the Actor through the Apify API.
📥 Input
{"urls": ["stripe.com", "gymshark.com", "notion.so"],"proxyConfiguration": { "useApifyProxy": true }}
📤 Output
{"recordType": "website","domain": "gymshark.com","statusCode": 200,"ecommercePlatform": "Shopify","jsFramework": null,"cdn": "Cloudflare","technologies": [{ "name": "Shopify", "category": "Ecommerce", "confidence": "high" },{ "name": "Zendesk", "category": "Chat & support", "confidence": "high" }],"leadTags": ["has_live_chat", "is_ecommerce"]}
💵 How much does it cost?
The launch price is about $2.00 / 1,000 websites analyzed, tier-discounted for higher Apify plans. One analyzed website is one charged result.
🔁 Run it on the Apify platform
Schedule recurring technographic refreshes, call it from the Apify API, export to CSV/JSON/Excel, or connect the dataset to Make, Zapier, webhooks, a warehouse, or an LLM pipeline.
⚠️ Limits and caveats
- This Actor reads a site's public homepage and response metadata. It detects technologies that leave public fingerprints; server-side or internal tools may not be visible.
- Some sites use bot protection and may return a 401/403/429/503. The Actor records the status and any technologies detectable from headers instead of failing.
- Detection is intentionally precise to avoid false positives, so a tool that is present but not referenced on the homepage may not appear.
- Technology fingerprints drift over time; the signature set is maintained, but occasional gaps are expected.
🧩 Related Actors
- Website Contact Extractor - turn the same domains into outreach-ready emails and socials.
- Shopify Store Analyzer - deep catalog and contact intelligence for Shopify stores.
- Lead List Deduplicator - clean and merge enriched lead rows before CRM import.
- Bulk URL Status Checker - audit URLs and redirects across a domain list.
❓ FAQ
How is this different from a Wappalyzer clone?
It uses precise, confidence-scored signatures to avoid the false positives naive detectors produce (for example matching a brand word that only appears in an "integrations" mention), and it adds lead-qualifier tags and convenience fields for sales workflows.
Can it process many domains at once?
Yes. Add up to 200 domains per run. Each analyzed website is one result.
Does it use a browser?
No. It fetches the homepage over HTTP and inspects the HTML, headers, and cookies, which keeps runs fast and cheap.
Why is a technology I expected missing?
The Actor only reports technologies with a clear public fingerprint on the page it fetched. Tools loaded later, behind login, or only on inner pages may not appear.
🛠️ Support
For bugs or missing signatures, open an Actor issue with the run URL, the domain, and the technology you expected.
⭐ Rate this Actor
If this Actor saved you time, please take 30 seconds to leave a review on the Reviews tab of Website Tech Stack Detector - CMS, Ecommerce & Martech - reviews are the main trust signal other users see, and they directly decide which features get built next. If something is broken or a field is missing, please open an issue first - we typically respond within a day and would love the chance to fix it before you rate.