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LinkedIn Network Analytics

Run aggregate analytics over your locally-synced connections, with or without filters. Without filters you get a full-network view: top companies, normalized title groups, locations, skills, monthly growth velocity, recency buckets, and campaign overlap. With filters you get the same aggregates scoped to a matching slice plus the matching contact list with each person's campaign status, and group_by returns a full uncapped distribution for one dimension. This is a database-only tool that returns empty if connections have never been synced.

get_network_analyticsGET/api/v1/network/analytics

Get started View docs

crispy — bash

Example prompt: Show me network analytics for founders based in Amsterdam, including how many are already in a campaign

{
  "matched": 42,
  "top_companies": [
    { "name": "Acme", "count": 6 }
  ],
  "in_campaign": 11,
  "contacts": [
    { "name": "Lars Bakker", "title": "Founder", "campaign_status": "none" }
  ]
}

Permission scope

core

Access

Read-only

What you can build

Understand the shape of your network by top companies, titles, and locations at a glance

Scope analytics to a niche (e.g. founders in Amsterdam) and see who is already in a campaign

Track monthly connection velocity to measure network growth over time

Pull a full uncapped distribution by skill or company to plan targeting

Parameters

Inputs accepted by get_network_analytics.

Name	Type	Required	Description
keyword	`string`	optional	Case-insensitive substring match across name, headline, company, title
title	`string`	optional	Case-insensitive substring match on current_title
company	`string`	optional	Case-insensitive substring match on current_company
location	`string`	optional	Case-insensitive substring match on location
skills	`string[]`	optional	Any-match filter on skills (OR)
connected_after	`string`	optional	ISO 8601 date, only connections added after this date
connected_before	`string`	optional	ISO 8601 date, only connections added before this date
group_by	`"company" \| "title" \| "title_group" \| "location" \| "skill"`	optional	Return a full uncapped distribution for this dimension instead of top-N summaries
top_n	`number`	optional	Entries per ranked category (default 10)
contacts_limit	`number`	optional	Max contacts to return when filters are active (default 100)

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