2steps·1provider·SQLyou own

LinkedIn Post Engagers

Pull the people who reacted to or commented on a LinkedIn post.

Shared June 2026

  1. 1

    Install & authenticate

    $ npm install -g deepline@latest && npm exec --yes --package=deepline@latest -- deepline setup --json

  2. 2

    Test out this play on my data

What this workflow does

Pull the people who reacted to or commented on a LinkedIn post.

LinkedIn Post Engagers (Deepline play "linkedin-post-to-engagers", version 1). Pull the people who reacted to or commented on a LinkedIn post. Pipeline: 2 steps, 1 provider, processes input rows as a dataset. Inputs: post_url, max_items. Outputs: rows.

Inputs you need

Bring these fields

  • post_url
  • max_items

Outputs you get

Produced by the run

  • linkedin_reactions

How it works

  1. Step 1

    Apify

    Apify · run actor sync

  2. Step 2

    Dataset rows

    over linkedin_url

Cost/latency when available

This public page does not show cost or latency yet. Deepline only displays those metrics when the published package has safe, comparable run samples, and cost is always shown in Deepline credits.

Common edits

  • Rename the copied play before the first run so it is owned by your workspace.
  • Map your CSV headers into the expected input fields and add status or miss_reason columns.
  • Keep stable step, fetch, dataset, and play-call ids so retries and durable receipts stay useful.
  • Edit the final projection before scale so the output table matches your CRM or campaign import.

Use it when

  • You need data from Apify in one pass.
  • You want a repeatable pipeline instead of one-off lookups.
  • You want an agent or teammate to run the same workflow on demand.

Related workflows

LinkedIn Employees from Company Domain

domain, max_items, profile_depth → domain, linkedin_company_url, rows

Job Change Detection

linkedin_url, contact_linkedin, current_domain → rows

LinkedIn Profile CSV from Personal Emails

csv, columns → rows

Run or fork with Deepline CLI

LinkedIn Post Engagers is a Deepline play. Inputs: post_url, max_items. Outputs: linkedin_reactions.

# Inspect the contract

$ deepline plays describe prebuilt/linkedin-post-to-engagers --json

# Copy to an owned scratchpad

$ deepline plays get prebuilt/linkedin-post-to-engagers --source --out linkedin-post-to-engagers-scratchpad.play.ts

# Check before running

$ deepline plays check linkedin-post-to-engagers-scratchpad.play.ts

# Paste into Claude Code, Cursor, or Codex.

$ Use the deepline-gtm skill's plays recipe to turn the Deepline play "LinkedIn Post Engagers" (https://deepline.com/p/deepline/linkedin-post-to-engagers) into an editable scratchpad play. Inputs: post_url, max_items. Outputs: linkedin_reactions. The .play.ts file is the source of truth: copy the play, rename it for this user's workflow, encode input mapping/validation/status/output projection in the play, and iterate there instead of doing one-off CSV post-processing. Keep stable dataset names, dataset row keys, and step/fetch/play-call ids across edits. Provider tool calls reuse paid work by play, tool, semantic input, auth scope, provider action version, and cache policy unless you intentionally change those inputs or refresh stale data. # install Deepline if the CLI is missing npm install -g deepline@latest && npm exec --yes --package=deepline@latest -- deepline setup --json # inspect the live contract deepline plays describe prebuilt/linkedin-post-to-engagers --json # copy to an owned scratchpad, then rename the play inside the file before first run deepline plays get prebuilt/linkedin-post-to-engagers --source --out linkedin-post-to-engagers-scratchpad.play.ts # edit linkedin-post-to-engagers-scratchpad.play.ts: set an owned play name, add mappings/validation/status/miss_reason/final columns deepline plays check linkedin-post-to-engagers-scratchpad.play.ts # run the scratchpad on your data deepline plays run --file linkedin-post-to-engagers-scratchpad.play.ts --input '{"post_url":"<value>","max_items":"<value>"}' --watch # only for an exact one-off with no edits or custom output deepline plays run prebuilt/linkedin-post-to-engagers --input '{"post_url":"<value>","max_items":"<value>"}' --watch Play spec (JSON): https://deepline.com/api/v2/shared-plays/prebuilt-linkedin-post-to-engagers

Version

v1 · Shared June 2026 · Unlisted page