Airtop This workflow corresponds to n8n.io template #4251 — we link there as the canonical source.
This workflow follows the Execute Workflow Trigger → Form Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"id": "3gPcwtlj06KIygRO",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "LinkedIn Post Engagement Data Extractor - Template",
"tags": [],
"nodes": [
{
"id": "6b6d54ef-21ad-43ef-be6a-14fc4295577d",
"name": "Airtop",
"type": "n8n-nodes-base.airtop",
"position": [
160,
220
],
"parameters": {
"url": "={{ $json.post_url }}",
"prompt": "You are looking at a LinkedIn post.\nYour job is to extract engagement data from the post.\n\nExtract the information of the people that have commented and reacted to this post. I want their name, their job title and their profile_url.\n\nI also want the total number of reactions, comments and reposts. For each of these values, if you are unable to find it, set it as -1.",
"resource": "extraction",
"operation": "query",
"profileName": "={{ $json.airtop_profile }}",
"sessionMode": "new",
"additionalFields": {
"outputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"interactors\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the person who commented or reacted.\"\n },\n \"job_title\": {\n \"type\": \"string\",\n \"description\": \"The job title of the person who commented or reacted.\"\n },\n \"profile_url\": {\n \"type\": \"string\",\n \"description\": \"The url of their profile\"\n }\n },\n \"required\": [\n \"name\",\n \"job_title\"\n ],\n \"additionalProperties\": false\n }\n },\n \"reactions_count\": {\n \"type\": \"number\",\n \"description\": \"the number of reactions the post received\"\n },\n \"comments_count\": {\n \"type\": \"number\",\n \"description\": \"the number of comments the post has\"\n },\n \"reposts_count\": {\n \"type\": \"number\",\n \"description\": \"the number of reposts the post has\"\n }\n },\n \"required\": [\n \"interactors\",\n \"reactions_count\",\n \"comments_count\",\n \"reposts_count\"\n ],\n \"additionalProperties\": false,\n \"$schema\": \"http://json-schema.org/draft-07/schema#\"\n}"
}
},
"credentials": {},
"typeVersion": 1
},
{
"id": "463f422f-ee53-4d84-b904-764a69a60f1a",
"name": "Parse engagement analysis response",
"type": "n8n-nodes-base.code",
"position": [
380,
220
],
"parameters": {
"jsCode": "const result = JSON.parse($input.first().json.data.modelResponse)\nreturn [{json: {...result}}]"
},
"typeVersion": 2
},
{
"id": "32383187-f2f2-4b00-b7c8-4b7d684e6fc1",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-40
],
"parameters": {
"color": 5,
"width": 900,
"height": 540,
"content": "## Extract engagmenet data\nWith airtop and a simple prompt, the agent is able to extract information from a LinkedIn post like:\n- Amount of comments on the post\n- Amount of reactions on the post\n- Amount of reposts\n- A list of commenters, with their name, job title and profile url"
},
"typeVersion": 1
},
{
"id": "2869efa1-1ca1-44a6-a980-2d901f6cadcf",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-280,
320
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "airtop_profile"
},
{
"name": "linkedin_post_url"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "1c593188-6f2f-4182-a9bf-93da8acd0791",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-280,
120
],
"parameters": {
"options": {},
"formTitle": "LinkedIn Post Engagement Data Extractor",
"formFields": {
"values": [
{
"fieldLabel": "Airtop Profile (Logged into Linkedin)",
"requiredField": true
},
{
"fieldLabel": "Post URL",
"requiredField": true
}
]
},
"formDescription": "With this Agent, you'll be able to extract valuable information from a LinkedIn Post, such as number comments, reactions and reposts for a given publication, as well as a list of some of the commenters with their respective titles and profile urls"
},
"typeVersion": 2.2
},
{
"id": "74d20b84-fe2c-4d4f-beab-39d900eba200",
"name": "Map fields",
"type": "n8n-nodes-base.set",
"position": [
-60,
220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c0dc91e4-64bc-4082-b109-835f061eee4c",
"name": "airtop_profile",
"type": "string",
"value": "={{ $json.airtop_profile || $json[\"Airtop Profile (Logged into Linkedin)\"] }}"
},
{
"id": "afc8f5b2-73bf-4bd0-b98c-458c521c8a0d",
"name": "post_url",
"type": "string",
"value": "={{ $json.linkedin_post_url || $json[\"Post URL\"] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5f79d197-6e41-4762-9d86-f62ada1e0c85",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1400,
-240
],
"parameters": {
"width": 900,
"height": 1260,
"content": "README\n\n# LinkedIn Post Engagement Data Extractor\n\n## Use Case\nThis automation is designed to extract key engagement metrics and audience data from a LinkedIn post. It's useful for analyzing the impact of content and identifying engaged users for lead generation, marketing, or research purposes.\n\n## What It Does\nGiven a LinkedIn post URL and an Airtop profile, this automation extracts:\n\n- Total number of reactions\n- Total number of comments\n- Total number of reposts\n- A list of users who reacted or commented, including:\n - Their full name\n - Their job title\n - A link to their LinkedIn profile\n\n## Input Parameters\n\n| Name | Description | Required |\n|------------------|------------------------------------------------------------|----------|\n| airtop_profile | The name of an [Airtop Profile](https://portal.airtop.ai/browser-profiles) that's logged into LinkedIn | Yes |\n| linkedin_post_url| The full URL of the LinkedIn post you want to analyze | Yes |\n\n## How It Works\n\n1. The workflow starts when triggered manually or from another workflow/form.\n2. It maps input fields for Airtop profile and post URL.\n3. Airtop opens a browser session and loads the LinkedIn post.\n4. An AI agent is instructed to extract engagement data via prompt-based analysis.\n5. The response is parsed and output in a structured format.\n\n## Output Format\n\nThe output will be a structured JSON object with the following fields:\n\n```json\n{\n \"interactors\": [\n {\n \"name\": \"Jane Doe\",\n \"job_title\": \"Marketing Director at ExampleCorp\",\n \"profile_url\": \"https://linkedin.com/in/janedoe\"\n }\n // ... more interactors\n ],\n \"reactions_count\": 153,\n \"comments_count\": 21,\n \"reposts_count\": 8\n}\n"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6de86713-894a-42b1-b461-2baa11f343b2",
"connections": {
"Airtop": {
"main": [
[
{
"node": "Parse engagement analysis response",
"type": "main",
"index": 0
}
]
]
},
"Map fields": {
"main": [
[
{
"node": "Airtop",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Map fields",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Map fields",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This automation is designed to extract key engagement metrics and audience data from a LinkedIn post. It's useful for analyzing the impact of content and identifying engaged users for lead generation, marketing, or research purposes.
Source: https://n8n.io/workflows/4251/ — original creator credit. Request a take-down →
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