Yadulink / Documentation / LinkedIn data

Build workflows on LinkedIn signals processed by Yadulink.

Yadulink centralizes sales signals from authorized LinkedIn actions so they can become usable in an API, webhooks, CRM, or AI assistant.

LinkedIn data

What this API exposes

The goal is not to rebuild LinkedIn. The goal is to make Yadulink context usable: lead profile, source list, sequence, status, observed signal, last action, and next sales priority.

LinkedIn data

B2B data use cases

Priority use cases include syncing warm leads, enriching CRM records, detecting forgotten opportunities, and reporting which signals actually produce replies.

LinkedIn data

Limits and operational compliance

This guide does not replace the official LinkedIn API. Data should stay limited to the authorized account, Yadulink permissions, your organization rules, and the volume your team can handle cleanly.

Verified facts

What this documentation should make explicit.

Purpose

Yadulink centralizes sales signals from authorized LinkedIn actions so they can become usable in an API, webhooks, CRM, or AI assistant.

Workflow proof

The goal is not to rebuild LinkedIn. The goal is to make Yadulink context usable: lead profile, source list, sequence, status, observed signal, last action, and next sales priority.

Assistant prompt

Help me design a Yadulink API integration that turns authorized LinkedIn signals into CRM priorities, with minimum scopes, useful webhooks, and guardrails.

Verification method

How to turn the guide into an operational test.

  1. 01 Recommended data workflow Define useful data: leads, lists, sequences, replies, visits, or warm signals.
  2. 02 Recommended data workflow Authenticate your system with an API key restricted to the required scope.
  3. 03 Recommended data workflow Fetch data in read mode or receive events through webhooks.