Systematically identify, extract, and organize entities—companies, people, products, technologies, or topics—from across the web. Build structured maps of relationships and trends.
Entity discovery transforms unstructured web content into actionable intelligence. Whether you're building competitive landscapes, tracking industry players, or mapping technology ecosystems, CrawlKit provides the foundation for systematic entity extraction at scale.
Entity discovery follows a systematic approach to identify and catalog entities across web sources.
Build comprehensive databases of competitors, partners, and market players with their key attributes.
Discover and track startups, funding rounds, and emerging companies in target sectors.
Map technology landscapes, track adoption trends, and identify emerging tools and platforms.
Build interconnected entity databases that power search, recommendations, and analytics.
Get started in minutes with our simple API.
const response = await fetch('https://api.crawlkit.sh/v1/crawl/raw', {
method: 'POST',
headers: {
'Authorization': 'ApiKey ck_xxx',
'Content-Type': 'application/json'
},
body: JSON.stringify({
url: 'https://techcrunch.com/startups/',
waitFor: 2000
})
});
const { data } = await response.json();
// Extract company mentions using NER or regex patterns
const companies = extractEntities(data.body, 'ORGANIZATION');
const technologies = extractEntities(data.body, 'TECHNOLOGY');
// Build entity records with attributes
const entityRecords = companies.map(company => ({
name: company.text,
type: 'company',
source: data.url,
context: company.surroundingText,
discoveredAt: new Date().toISOString()
}));Why teams choose CrawlKit for entity discovery & mapping.
Discover entities across thousands of web sources systematically rather than manually.
Transform unstructured mentions into queryable databases with relationships.
Keep entity databases current with scheduled crawls and change detection.
Entity Discovery & Mapping with CrawlKit is commonly used by:
If your AI system depends on understanding real-world web content, this use case provides a strong foundation.
Build comprehensive entity databases from web data. Map relationships, track trends, and power your intelligence systems with structured data.