.mint-mb-8 {
    margin-bottom: 2rem
}
.mint-mt-6 {
    margin-top: 1.5rem
}
.mint-flex {
    display: flex
}
.mint-w-full {
    width: 100%
}
.mint-items-center {
    align-items: center
}
.mint-justify-between {
    justify-content: space-between
}
.mint-gap-3 {
    gap: 0.75rem
}
.mint-rounded-lg {
    border-radius: 0.5rem
}
.mint-border {
    border-width: 1px
}
.mint-border-gray-200 {
    --tw-border-opacity: 1;
    border-color: rgb(229 231 235 / var(--tw-border-opacity))
}
.mint-px-6 {
    padding-left: 1.5rem;
    padding-right: 1.5rem
}
.mint-py-4 {
    padding-top: 1rem;
    padding-bottom: 1rem
}
.mint-text-base {
    font-size: 1rem;
    line-height: 1.5rem
}
.mint-font-medium {
    font-weight: 500
}
.mint-text-gray-600 {
    --tw-text-opacity: 1;
    color: rgb(75 85 99 / var(--tw-text-opacity))
}
.mint-shadow-sm {
    --tw-shadow: 0 1px 2px 0 rgb(0 0 0 / 0.05);
    --tw-shadow-colored: 0 1px 2px 0 var(--tw-shadow-color);
    box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow)
}
.mint-transition-colors {
    transition-property: color, background-color, border-color, text-decoration-color, fill, stroke;
    transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1);
    transition-duration: 150ms
}
.hover\:mint-border-gray-300:hover {
    --tw-border-opacity: 1;
    border-color: rgb(209 213 219 / var(--tw-border-opacity))
}
.hover\:mint-text-gray-900:hover {
    --tw-text-opacity: 1;
    color: rgb(17 24 39 / var(--tw-text-opacity))
}
.dark\:mint-border-gray-700:is(.dark *) {
    --tw-border-opacity: 1;
    border-color: rgb(55 65 81 / var(--tw-border-opacity))
}
.dark\:mint-text-gray-400:is(.dark *) {
    --tw-text-opacity: 1;
    color: rgb(156 163 175 / var(--tw-text-opacity))
}
.dark\:hover\:mint-border-gray-600:hover:is(.dark *) {
    --tw-border-opacity: 1;
    border-color: rgb(75 85 99 / var(--tw-border-opacity))
}
.dark\:hover\:mint-text-gray-300:hover:is(.dark *) {
    --tw-text-opacity: 1;
    color: rgb(209 213 219 / var(--tw-text-opacity))
}

Overview

WebSocket Search

WebSocket endpoint for real-time profile search

Search Request

Search

Acceptance score threshold (0-100) for a match to be included in results

Search channel

Linkd API Documentation

Introduction

Demo project showcasing the Linkd Search API in action

Example Project

Retrieves a list of users based on a search query and optional filters. Profiles are matched using a criteria-based scoring system with a 85% acceptance threshold. Multi-criteria queries are broken down and evaluated individually.

Search for users

Retrieves a list of companies based on a search query. Companies are matched using a criteria-based scoring system with a 85% acceptance threshold. The system evaluates company business, industry, and other attributes against the query.

Search for companies

Retrieves detailed profile information for a specific LinkedIn URL. Each successful lookup costs 1 credit.

Enrich with LinkedIn profile data

Retrieves email addresses and phone numbers for a LinkedIn profile. Each lookup costs 1 credit.

Retrieve contact information

Retrieves detailed profile data and posts with comments from a LinkedIn profile URL using RapidAPI. Each request costs 2 credits.

Scrape LinkedIn profile data

Combines profile enrichment with company data lookup in a single request. Takes an email or phone number as input and returns both the person's profile data and their current employer's company information.

Research Profile

Initiate and monitor deep research jobs that combine multiple search variations with optional email enrichment

Getting Started

API Reference

WebSocket Search

Overview

Getting Started

API Reference

​Overview

Overview