./LLMC

Query Examples

LLMC supports multiple query types to classify and browse websites. Use the examples below to explore the classification system.

URL Classification

Classify any website by entering its URL. LLMC will analyze the content and return category, language, demographics, and more.

q Full URL to classify ?q=https://google.com
q News website ?q=https://bbc.com
q E-commerce site ?q=https://amazon.com

Wildcard Search

Use wildcards to search for domains matching a pattern. Supports prefix (*term), suffix (term*), and contains (*term*) patterns.

q Domains starting with "goog" ?q=goog*
q Domains containing "news" ?q=*news*
q Domains ending with "shop" ?q=*shop

Browse by Category

Browse websites by main category or drill down into subcategories. LLMC classifies sites into 58 main categories.

c Education websites ?c=Education
c Technology websites ?c=Computer and Electronics
c Sports websites ?c=Sports
c&sc Sports > Basketball ?c=Sports&sc=Basketball
c&sc Finance > Investing ?c=Finance&sc=Investing

Browse by Language

Find websites in a specific language. LLMC detects the primary language of each website's content.

l English websites ?l=English
l Spanish websites ?l=Spanish
l German websites ?l=German
l Japanese websites ?l=Japanese

Browse by Demographics

Filter websites by their target audience demographics including age groups and gender.

a Sites for ages 18-24 ?a=18-24
a Sites for ages 25-34 ?a=25-34
a Sites for ages 35-44 ?a=35-44
g Male-oriented sites ?g=male
g Female-oriented sites ?g=female
g All genders sites ?g=all

Browse by Server Type

Find websites by their HTTP server software. Useful for technology research and analysis.

srv Sites running nginx ?srv=nginx
srv Sites running Apache ?srv=Apache
srv Sites running Cloudflare ?srv=Cloudflare

Browse by Web Application

Discover websites by their CMS, framework, or technology stack. LLMC detects 297+ different web applications.

app WordPress sites ?app=WordPress
app Shopify stores ?app=Shopify
app Next.js applications ?app=Next.js
app React applications ?app=React

Browse by Sentiment

Filter websites by their overall sentiment based on content analysis.

s Positive sentiment ?s=Good
s Neutral sentiment ?s=Neutral
s Negative sentiment ?s=Bad

Pagination

Navigate through large result sets using the page parameter. Combine with any other filter.

p Second page of Education ?c=Education&p=2
p Third page of English sites ?l=English&p=3

Advanced Search

Use Google-like query syntax to combine multiple filters in a single search. Separate filters with spaces. Use quotes for values containing spaces: cat:"News and Media"

Filter Aliases Example
language language:, lng: language:English
server server:, srv: server:nginx
application application:, app: app:WordPress
category category:, cat: cat:"News and Media"
subcategory subcategory:, subcat: subcat:Basketball
age age: age:18-24
gender gender:, sex: gender:male
sentiment sentiment:, s: s:Good
ddc ddc: ddc:796

Combined Query Examples

q English sites on nginx ?q=language:English server:nginx
q WordPress sites with positive sentiment ?q=app:WordPress sentiment:Good
q Sports Basketball in English ?q=cat:Sports subcat:Basketball lng:English
q Shopify stores on Cloudflare ?q=app:Shopify srv:Cloudflare

Dewey Decimal Classification (DDC)

Browse websites using Dewey Decimal Classification codes. DDC is the world's most widely used library classification system, organizing knowledge into 10 main classes.

Code Subject Example
000 Computer Science ?q=ddc:000
100 Philosophy ?q=ddc:100
200 Religion ?q=ddc:200
300 Social Sciences ?q=ddc:300
400 Language ?q=ddc:400
500 Science ?q=ddc:500
600 Technology ?q=ddc:600
700 Arts & Recreation ?q=ddc:700
800 Literature ?q=ddc:800
900 History & Geography ?q=ddc:900

Specific DDC Divisions

610 Medicine & Health ?q=ddc:610
780 Music ?q=ddc:780
796 Sports ?q=ddc:796
510 Mathematics ?q=ddc:510
370 Education ?q=ddc:370

DDC with Other Filters

q Medicine in English ?q=ddc:610 language:English
q Sports on WordPress ?q=ddc:796 app:WordPress
q Music with positive sentiment ?q=ddc:780 s:Good