Apify Linkedin Post Engagement

Analyze LinkedIn post engagement with the Apify LinkedIn Posts API Actor (johnvc/linkedin-posts-api). Collect a profile's posts or a list of post URLs, then measure reactions, comments, and shares alongside author reach (followers, headline) to see what performs. Use when the user wants to analyze LinkedIn post engagement, measure engagement rate, find a creator's or a competitor's top-performing posts, benchmark engagement across profiles, track post engagement over time, or build a LinkedIn engagement report. Returns one row per post with numLikes, numComments, numShares, datePosted, and a r

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add johnisanerd/claude-skill-linkedin-post-engagement --skill apify-linkedin-post-engagement
Manual install
git clone --depth 1 https://github.com/johnisanerd/claude-skill-linkedin-post-engagement.git /tmp/claude-skill-linkedin-post-engagement
mkdir -p ~/.claude/skills
cp -r /tmp/claude-skill-linkedin-post-engagement/apify-linkedin-post-engagement ~/.claude/skills/apify-linkedin-post-engagement

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Analyze LinkedIn Post Engagement

Measure how LinkedIn posts perform with the Apify LinkedIn Posts API. Collect a profile's posts (or a set of post URLs), then compare reactions, comments, and shares against author reach to find what works and what does not.

## When to use this skill

- The user wants to analyze LinkedIn post engagement or an engagement rate.
- They want a creator's or a competitor's top-performing posts.
- They want to benchmark engagement across several profiles, or track it over time.
- They want a simple engagement report from a set of LinkedIn posts.

Not for: LinkedIn's own private analytics dashboard, profile bio data (use the LinkedIn Profile API), or ad performance.

## What you get (per post)

`authorName`, `authorHeadline`, `authorFollowers`, `numLikes`, `numComments`, `numShares`, `datePosted`, `postUrl`, `text`, `hashtags`. The Actor also ships a ready-made "engagement" dataset view with exactly these engagement columns, so you can read reach and reactions side by side.

## Prerequisites

- Apify account (sign up at https://apify.com?fpr=9n7kx3&fp_sid=skillrepo).
- Authentication via `apify login`, or an `APIFY_TOKEN` environment variable (Apify Console, Settings, Integrations).

## The Actor

- Store page: https://apify.com/johnvc/linkedin-posts-api?fpr=9n7kx3&fp_sid=skillrepo
- Actor ID: `johnvc/linkedin-posts-api`
- Pricing: pay per post returned (see `references/gotchas.md`).

## Run it with the Apify CLI
Read the full skill on GitHub

Details

Skill name
apify-linkedin-post-engagement
Path
apify-linkedin-post-engagement/SKILL.md
Repo updated
13 July 2026

FAQ

What does the Apify Linkedin Post Engagement skill do?

Analyze LinkedIn post engagement with the Apify LinkedIn Posts API Actor (johnvc/linkedin-posts-api). Collect a profile's posts or a list of post URLs, then measure reactions, comments, and shares alongside author reach (followers, headline) to see what performs. Use when the user wants to analyze LinkedIn post engagement, measure engagement rate, find a creator's or a competitor's top-performing posts, benchmark engagement across profiles, track post engagement over time, or build a LinkedIn engagement report. Returns one row per post with numLikes, numComments, numShares, datePosted, and a r

How do I install the Apify Linkedin Post Engagement skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add johnisanerd/claude-skill-linkedin-post-engagement --skill apify-linkedin-post-engagement. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Apify Linkedin Post Engagement popular?

It lives in johnisanerd/claude-skill-linkedin-post-engagement, which has 1 GitHub stars and 0 forks, and is included in 1 curated skill list.

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