Get Post Comments - Trigify API Documentation

curl -X POST https://api.trigify.io/v1/post/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
  }
}

POST

post

comments

curl -X POST https://api.trigify.io/v1/post/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 post to analyze engagement patterns, identify prospects, and understand community discussions around individual content.

Overview

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

Authentication

Requires a valid API key with the track:post:comments permission.

curl -X POST https://api.trigify.io/v1/post/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 posts may have hundreds of comments across multiple pages
Plan your credit usage based on expected comment volume

Use Cases

Social Selling: Find prospects who are actively engaging with relevant industry content
Lead Generation: Identify warm leads who comment on posts related to your products or services
Influencer Outreach: Discover engaged community members and thought leaders
Content Research: Analyze what types of posts generate meaningful discussions
Competitive Intelligence: Monitor who engages with competitor or industry leader content
Community Building: Identify active participants in your industry conversations
Account-Based Marketing: Find additional contacts within target companies who are engaged on LinkedIn

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/username_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 posts that have many comments:

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

Comment Structure

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 discussions.

Advanced Features

Batch Processing

For analyzing multiple posts efficiently, consider:

Processing posts in batches to optimize API usage
Implementing rate limiting to respect API constraints
Caching comment data for posts that don’t change frequently

Sentiment Analysis

Comment text can be processed for:

Sentiment analysis to understand audience reception
Keyword extraction to identify trending topics
Engagement quality assessment based on comment length and depth

Network Analysis

Use comment data to:

Map professional networks and connections
Identify influential voices in your industry
Track engagement patterns across related posts

Differences from Company Post Comments

This endpoint is designed for individual LinkedIn posts and differs from company post comments in several ways:

Content Type: Focuses on personal and professional individual posts rather than corporate content
Audience: Often includes more diverse, personal networking conversations
Engagement Patterns: May include more casual, relationship-building interactions
Permission: Requires track:post:comments rather than track:company:comments
Optimization: Tuned for individual content creator posting patterns

Headers

x-api-key

string

required

Body

application/json

postUrn

string

required

The LinkedIn 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 post comments

message

string

required

success

boolean

required

data

object

required

Show child attributes

Get Post Engagements Get Post by URL

⌘I

API Documentation

Profile

Company

Post

Topics

Discover

​Overview

​Authentication

​Response Structure

​Pagination Information

​Comment Data

​Author Details

​Credit Usage

​Use Cases

​Post URN Format

​Pagination Best Practices

​Comment Structure

​Engagement Metrics

​Temporal Data

​Reply Threads

​Advanced Features

​Batch Processing

​Sentiment Analysis

​Network Analysis

​Differences from Company Post Comments

Headers

Body

Response

Overview

Authentication

Response Structure

Pagination Information

Comment Data

Author Details

Credit Usage

Use Cases

Post URN Format

Pagination Best Practices

Comment Structure

Engagement Metrics

Temporal Data

Reply Threads

Advanced Features

Batch Processing

Sentiment Analysis

Network Analysis

Differences from Company Post Comments