Dictionary: Employee Posts Data
Overview
Data dictionary for data retrieved using Employee Posts endpoints.
This data dictionary shows all available data points, explains their values, and provides data samples from the Employee Posts dataset.
Author
author_name
Employee's full name
String
author_profile_url
Employee's profile URL
String
author_headline
Headline or title of the author (if available)
String
author_posts_count
Number of all author's posts
Integer
Refer to the table example from the data:
"author_name": "John Doe",
"author_profile_url": "https://professional-network.com/john-doe",
"author_headline": "Data Analyst @Company Example | Data is my passion",
"author_posts_count": 100,Post information
id
Post's ID
String
employee_parent_id
Employee profile identification key
String
url
Post's URL
String
date_published
Post publication date
String
article_body
Content of the post
String
image_url
URL of an image attached to the post (if available)
String
hashtags
List of hashtags used in the post
Array
mentions
Mentions of other profiles
Array of strings
full_name
Mention within the post
String
url
Profile URL of the mentioned entity
String
reaction_count
Number of reactions (likes, claps, etc.) on the post
Integer
Refer to the table example from the data:
"id": "1234567890123456",
"employee_parent_id": "111222333444555",
"url": "https://www.professional-network.com/posts/johndoe_example-post-123456",
"date_published": "2025-07-01",
"article_body": "Data is only as valuable as the insights you can draw from it, and the right structure makes all the difference. With Jane Doe, we're building tools that turn raw data into clear, actionable stories.",
"image_url": "https://example.com/image/link123456789",
"hashtags": [
"#Data",
"#Inspiring"
],
"mentions": [
{
"full_name": "Jane Doe",
"url": "https://professional-network.com/in/jane-doe"
}
],
"reaction_count": 10,Comments
comment_count
Number of comments on the post
Integer
comments
List of comments on the post
Array of objects
full_name
Name of the person who made the comment
String
headline
Headline or title of the commenter (if available)
String
profile_url
URL of the commenter’s profile
String
body
Content of the comment
String
reaction_count
Number of reactions on the comment
Integer
date_published
Time when comment was published
String
Refer to the table example from the data:
"comment_count": 2,
"comments": [
{
"full_name": "John Smith",
"headline": "Talent Intelligence@ Example corp | Meta Alumni",
"profile_url": "https://www.professional-network.com/in/john-smith",
"body": "Great opportunity",
"reaction_count": 1,
"date_published": "2025-07-01"
},
{
"full_name": "Jane Smith",
"headline": "Looking for a job in QA | Functional Testing ",
"profile_url": "https://professional-network.com/in/jane-smith",
"body": "I'd be interested to join your team",
"reaction_count": 0,
"date_published": "2025-07-02"
}
]Reshared post
reshared_post
Reshared posts information
Object
id
Unique identifier of the reshared post. Used to distinguish it from other posts
String
employee_parent_id
Author profile identification key
String
url
Direct URL to the reshared post on Professional network
String
author_name
Name of the original author of the reshared post
String
author_profile_url
Professional network profile URL of the original post’s author
String
author_headline
Headline or summary text shown under the author’s name, often follower count or role
String
article_body
Main text content of the reshared post
String
image_url
List of image URLs attached to the reshared post
String
hashtags
List of hashtags included in the reshared post text
String
date_published
Time since the post was published
String
Refer to the table example from the data:
"reshared_post": {
"id": "12345677899",
"employee_parent_id": "111222333444555",
"url": "https://www.professional-network.com/link/12345677899",
"author_name": "Post author",
"author_profile_url": "https://professional-network.com/post-author",
"author_headline": "1,000 followers",
"article_body": "Interesting post about AI usage in your workplace",
"image_url": "https://example.com/image/link12345677899",
"hashtags": [
"#AI"
],
"date_published": "2w"
}Last updated
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