LinkedIn Posts Monitor - Reach & Engagement Over Time

"Which of our posts actually worked? I screenshot the good ones and forget the rest." "Marketing teams need to track post engagement metrics over time across company updates and founder posts to identify winning content themes."

LinkedIn displays engagement metrics as single static snapshots without historical baseline comparisons. Growth leads, social media managers, and executive brand teams need to monitor post performance over time to evaluate reach and engagement trends.

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⬇️ Input

Input accepts a list of LinkedIn post URN IDs or company slugs (for example 7490480308148985856 or google). All input parameters carry working prefilled defaults so runs execute immediately without required inputs.

{
  "posts": [
    "7490480308148985856"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxItems": 100
}

Input Field Specification

Field	Type	Description	Default
posts	Array	List of LinkedIn post activity URN IDs or company handles to monitor.	["7490480308148985856"]
proxyConfiguration	Object	Proxy settings to rotate IPs per request and prevent rate limits.	{ "useApifyProxy": true }
maxItems	Integer	Maximum number of posts to fetch in a single run.	100

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⬆️ Output

Outputs structured records directly to the default dataset. Each row describes a single post indexed by its stable per-row identifier (postUrn).

Output Field Schema

Field Name	Type	Description
postUrn	String	LinkedIn post activity URN string. Stable per-row identifier.
title	String | Null	Post title or headline snippet.
authorName	String | Null	Author name or publishing entity.
authorUrl	String | Null	Profile or company URL of the author.
postUrl	String | Null	Canonical post update URL.
text	String | Null	Full post text body content.
publishedAt	String | Null	ISO publication timestamp.
likeCount	Integer | Null	Total reaction or like count observed.
commentCount	Integer | Null	Total comment count observed.
repostCount	Integer | Null	Total repost or reshare count observed.
engagementVsAuthorMedian	Number | Null	Relative engagement performance vs author baseline median.
topPostIds	Array | Null	List of top performing post URNs for this author.
changedFields	Array | Null	Attributes modified since previous observation.
reason	String | Null	Explanation note when computed historical metrics return null on first observation.
scrapedAt	String	ISO 8601 timestamp of data collection.

Sample Output Record

{
  "postUrn": "urn:li:activity:7490480308148985856",
  "title": "10 Google AI tools all college students should know | Google | 35 comments",
  "authorName": "Google",
  "authorUrl": null,
  "postUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7490480308148985856",
  "text": "Paging all college students. Here's how you can use our AI tools to optimize your productivity...",
  "publishedAt": null,
  "likeCount": null,
  "commentCount": 35,
  "repostCount": null,
  "engagementVsAuthorMedian": null,
  "topPostIds": null,
  "changedFields": null,
  "reason": "First observation; engagement trend vs author median requires multi-run history accrued over time.",
  "scrapedAt": "2026-08-05T16:36:46.000Z"
}

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How it works

1. Post Extraction: Fetches public LinkedIn post update pages without requiring user login credentials.
2. Engagement Parsing: Extracts author metadata, post body text, comment counts, and reaction totals.
3. Performance Benchmarking: Compares post metrics across sequential runs to track performance against author baseline medians.
4. Resilient Rate Budgeting: Integrates proxy rotation to prevent rate limiting and maintain unblocked monitoring pipelines.

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❓ FAQ

How is engagement performance measured over time?

By monitoring post update URLs across multiple runs, the actor tracks comment and reaction growth, comparing each post against the author's median baseline.

Why does engagementVsAuthorMedian return null on first run?

Calculating performance relative to an author's median requires observing multiple posts over time. On the first run, the actor returns null with a clear reason field rather than fabricating baseline figures.

Does this actor require a LinkedIn login or session cookie?

No. The actor operates entirely without user login credentials or cookies.

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💬 Your feedback

Need custom post analytics, sentiment exports, or dataset integrations? Contact us at reapxdev@proton.me or visit reapx.dev.

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Unofficial - not affiliated with LinkedIn. Collects data without login. reapx. Contact reapxdev@proton.me.