Detect the technology stack of any website — 5,000+ technologies, confidence scores
Project description
TechStackDetect Python SDK
Detect the technology stack of any website in one API call.
- 5,000+ technology signatures across 48 categories
- Confidence scores (0.0–1.0) for each detection
- Zero dependencies — pure Python stdlib
- Free tier available on RapidAPI
Installation
pip install techstackdetect
Quick Start
from techstackdetect import TechStackDetect
client = TechStackDetect(api_key="YOUR_RAPIDAPI_KEY")
result = client.detect("https://stripe.com")
for tech in result.technologies:
print(f"{tech.name} ({tech.category}) — {tech.confidence:.0%}")
# AWS CloudFront (cdn) — 95%
# Fastly (cdn) — 95%
# HSTS (security) — 90%
# Varnish (cache) — 75%
Get your API key: RapidAPI → TechStackDetect
Usage Examples
Check if a site uses a specific technology
result = client.detect("https://shopify.com")
if result.has("Shopify"):
print("This site uses Shopify!")
if result.has("React"):
print("React detected!")
Filter by category
result = client.detect("https://notion.so")
analytics = result.by_category("analytics")
hosting = result.by_category("hosting")
frontend = result.by_category("frontend")
print("Analytics tools:", [t.name for t in analytics])
print("Hosting:", [t.name for t in hosting])
Batch processing for lead enrichment (native /batch endpoint)
leads = [
"https://woocommerce.com",
"https://shopify.com",
"https://ghost.org",
# ... up to any number of URLs; automatically chunked into 50/request
]
results = client.detect_batch(leads)
for url, result in results:
if isinstance(result, Exception):
print(f"{url}: ERROR - {result}")
else:
cms = result.by_category("cms")
ecom = result.by_category("ecommerce")
print(f"{url}: CMS={[t.name for t in cms]}, ecommerce={[t.name for t in ecom]}")
Browse all supported technologies
# List all ecommerce platforms we can detect
ecom = client.technologies(category="ecommerce")
print(f"Ecommerce platforms: {len(ecom)}")
print([t['name'] for t in ecom[:10]])
# ['BigCommerce', 'Magento', 'OpenCart', 'PrestaShop', 'Shopify', ...]
# List all 5,225 technologies
all_techs = client.technologies()
print(f"Total: {len(all_techs)}")
CRM enrichment workflow
def enrich_lead(website_url):
result = client.detect(website_url)
return {
"url": result.url,
"cms": next((t.name for t in result.by_category("cms")), None),
"ecommerce": next((t.name for t in result.by_category("ecommerce")), None),
"frontend": [t.name for t in result.by_category("frontend")],
"analytics": [t.name for t in result.by_category("analytics")],
"hosting": [t.name for t in result.by_category("hosting")],
"tech_count": len(result.technologies),
}
print(enrich_lead("https://stripe.com"))
API Reference
TechStackDetect(api_key, timeout=30)
Create a client instance.
client.detect(url, force_refresh=False) → DetectionResult
Detect technologies for a single URL.
client.detect_batch(urls, force_refresh=False, chunk_size=50) → list
Detect technologies for multiple URLs using the native /batch endpoint (parallel server-side processing).
Automatically chunks large lists into batches of up to 50 URLs.
Returns list of (url, DetectionResult | Exception) tuples.
client.technologies(category=None) → list
List all 5,000+ supported technologies, optionally filtered by category.
Available categories: frontend, cms, ecommerce, analytics, cdn, hosting,
backend, server, security, marketing, support, payment, ui, monitoring, etc.
Detect technologies for multiple URLs with optional rate limiting.
DetectionResult
| Attribute | Type | Description |
|---|---|---|
url |
str | The analyzed URL |
technologies |
List[Technology] | Detected technologies, sorted by confidence |
cached |
bool | Whether result came from cache |
Methods: .has(name), .by_category(cat), .names(), .top(n)
Technology
| Attribute | Type | Description |
|---|---|---|
name |
str | Technology name |
category |
str | Category (e.g. "frontend", "cms", "hosting") |
confidence |
float | Detection confidence 0.0–1.0 |
version |
str|None | Version number if detected |
Categories
frontend · backend · cms · ecommerce · hosting · cdn · analytics · monitoring · marketing · security · database · cache · authentication · seo · server · javascript-frameworks · wordpress-plugins · and 30+ more
License
MIT — free to use in any project.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file techstackdetect-1.1.0.tar.gz.
File metadata
- Download URL: techstackdetect-1.1.0.tar.gz
- Upload date:
- Size: 6.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4b1c999e96263a17103ea482505778d8f129afa228842822904193008408446f
|
|
| MD5 |
1f69ec587cf5c358b4ad80737138757c
|
|
| BLAKE2b-256 |
4d3fd1e38223afdf827706a086f69d135bc8915281df24f0912811bcae89fc25
|
File details
Details for the file techstackdetect-1.1.0-py3-none-any.whl.
File metadata
- Download URL: techstackdetect-1.1.0-py3-none-any.whl
- Upload date:
- Size: 7.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
475f211d0b1162317473dd76994f9267e12cf3aba45224ff6157b0260ec2848f
|
|
| MD5 |
68b997ba0aa6805acd4f1febdc484294
|
|
| BLAKE2b-256 |
201fc07d3daa13a0249bf1b37d470ec98e7fe6a5992e4d10f0acff6cda02c202
|