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POST
/
v1
/
company
/
comments
curl -X POST https://api.trigify.io/v1/company/comments \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "postUrn": "7196224250288955393",
    "page": 1
  }'

{
  "message": "<string>",
  "success": true,
  "data": {
    "comments": [
      {
        "isPinned": true,
        "isEdited": true,
        "threadUrn": "<string>",
        "urn": "<string>",
        "createdAt": 123,
        "createdAtString": "<string>",
        "permalink": "<string>",
        "text": "<string>",
        "author": {
          "name": "<string>",
          "urn": "<string>",
          "id": "<string>",
          "username": "<string>",
          "linkedinUrl": "<string>",
          "title": "<string>"
        },
        "totalSocialActivityCounts": {
          "numComments": 123,
          "likeCount": 123,
          "appreciationCount": 123,
          "empathyCount": 123,
          "InterestCount": 123,
          "praiseCount": 123,
          "funnyCount": 123,
          "maybeCount": 123,
          "totalReactionCount": 123,
          "numShares": 123
        },
        "replies": [
          {
            "isPinned": true,
            "isEdited": true,
            "urn": "<string>",
            "createdAt": 123,
            "createdAtString": "<string>",
            "permalink": "<string>",
            "text": "<string>",
            "author": {
              "name": "<string>",
              "urn": "<string>",
              "username": "<string>",
              "linkedinUrl": "<string>",
              "title": "<string>"
            },
            "totalSocialActivityCounts": {
              "numComments": 123,
              "likeCount": 123,
              "appreciationCount": 123,
              "empathyCount": 123,
              "InterestCount": 123,
              "praiseCount": 123,
              "funnyCount": 123,
              "maybeCount": 123,
              "totalReactionCount": 123,
              "numShares": 123
            }
          }
        ]
      }
    ],
    "total": 123,
    "totalPage": 123,
    "currentPage": 123
  }
}
Extract detailed comments from any LinkedIn company post to analyze engagement patterns, identify prospects, and understand community discussions around company content.

​
Overview

The Company Post Comments API reveals all comments on any LinkedIn company post, along with detailed information about each commenter including their professional background, engagement metrics, and replies. Perfect for analyzing how audiences respond to company content and identifying engaged prospects from corporate LinkedIn activity.

​
Authentication

Requires a valid API key with the track:company:comments permission. 
curl -X POST https://api.trigify.io/v1/company/comments \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "postUrn": "7196224250288955393",
    "page": 1
  }'

​
Response Structure

The endpoint returns paginated comment data including:

​
Pagination Information

  • Current Page: The page number of results returned
  • Total Pages: Total number of pages available
  • Total Count: Total number of comments across all pages
  • Comments: Array of comment objects for the current page

​
Comment Data

  • Comment Content: Full text content of the comment
  • Author Information: Name, title, LinkedIn profile, and professional details
  • Engagement Metrics: Likes, reactions, and social activity counts
  • Thread Information: Comment URN, timestamps, and permalink
  • Replies: Nested replies to the comment with full author details
  • Moderation: Whether the comment is pinned or edited

​
Author Details

Each comment includes comprehensive author information:
  • Professional Profile: Name, title, LinkedIn URL, and profile details
  • Company Context: Current role and professional background
  • Social Presence: LinkedIn profile metrics and engagement history

​
Credit Usage

This endpoint charges 1 credit per comment returned. The number of credits spent is returned in the x-spent-credits response header. Examples:
  • Page with 25 comments: Uses 25 credits
  • Page with 10 comments: Uses 10 credits
  • Page with no comments: Uses 0 credits
Pagination Strategy:
  • Each page can contain multiple comments (varies by post activity)
  • Popular company posts may have hundreds of comments across multiple pages
  • Plan your credit usage based on expected comment volume

​
Use Cases

  • B2B Lead Generation: Find prospects who are actively engaging with competitor or industry company content
  • Brand Monitoring: Track sentiment and responses to your company’s LinkedIn posts
  • Competitive Intelligence: Analyze who engages with competitor announcements and content
  • Community Building: Identify engaged community members for partnership or collaboration opportunities
  • Content Strategy: Understand what types of company posts generate the most valuable discussions
  • Account-Based Marketing: Find additional contacts within target companies who are active on relevant topics
  • Thought Leadership: Identify industry voices and influencers engaging with company content

​
Post URN Format

The postUrn parameter should be the LinkedIn post’s unique identifier:
  • Extract from post URLs: "7196224250288955393" (the numeric part)
  • Found in LinkedIn post URLs after activity-: /posts/company_activity-7196224250288955393-abcd
  • Also available in LinkedIn’s internal post references
The URN will be validated to ensure it’s a proper LinkedIn post identifier format.

​
Pagination Best Practices

When working with company posts that have many comments:
  1. Start with Page 1: Always begin with page: 1 to get the most recent comments
  2. Check Total Pages: Use the totalPage field to determine how many pages are available
  3. Monitor Credits: Track your credit usage across pages to stay within budget
  4. Implement Limits: Set a maximum number of pages to retrieve to control costs
  5. Cache Results: Store comment data to avoid re-fetching the same information

​
Comment Structure

Company post comments include rich data about engagement:

​
Engagement Metrics

  • Like Count: Number of likes on the comment
  • Reaction Counts: Detailed breakdown by reaction type (appreciation, praise, etc.)
  • Reply Count: Number of nested replies
  • Total Reactions: Aggregate engagement across all reaction types

​
Temporal Data

  • Creation Time: Timestamp and formatted date strings
  • Relative Time: Human-readable time since posting
  • Thread Context: Position within the conversation flow

​
Reply Threads

Comments may include nested replies with full author details and engagement metrics, allowing you to analyze complete conversation threads and identify the most engaged participants in company discussions.

​
Differences from Regular Post Comments

This endpoint is specifically optimized for LinkedIn company posts and differs from individual post comments in several ways:
  • Content Type: Focused on corporate and brand content rather than personal posts
  • Audience: Typically attracts business-focused discussions and professional networking
  • Engagement Patterns: Often includes more formal, business-relevant conversations
  • Permission: Requires track:company:comments rather than track:post:comments
  • Caching Strategy: Optimized for company content update patterns

Headers

​
x-api-key
string
required

Body

application/json
​
postUrn
string
required

The LinkedIn company post URN to get comments from. ex: '7196224250288955393'

Minimum string length: 1
​
page
integer
default:1

The page number for pagination (defaults to 1)

Required range: x >= 1

Response

200 - application/json

Successfully retrieved company post comments

​
message
string
required
​
success
boolean
required
​
data
object
required