Linkedin Posts By Profile URL
Collects posts and interactions from LinkedIn based on a person’s profile URL—supports up to 50 profiles.
To improve consistency and clarity, users can include a dictionary in the prompt, defining key terms and expected formats. This helps ensure more precise and structured responses.
Prompt Examples:
Linkedin Posts By Profile URLDictionary
Column Name
Description
Data Type
url
The web link to the individual LinkedIn post
URL
id
A unique identifier for each LinkedIn post
Text
user_id
The unique identifier for the user who created the post
Text
use_url
The web link to the profile of the user who created the post
URL
title
The title or main subject of the LinkedIn post, if applicable
Text
headline
A brief headline summarizing the post’s content
Text
post_text
The main text content of the LinkedIn post
Text
date_posted
The date and time when the post was published on LinkedIn
Date
hashtags
Keywords or phrases prefixed with a hash (#) used in the post to tag content
Array
embedded_links
URLs included within the post that link to external content
Array
images
Any images attached or embedded in the post
Array
videos
Any videos attached or embedded in the post
Array
num_likes
The total number of likes the post has received
Number
num_comments
The total number of comments the post has received
Number
more_articles_by_user
Links to other posts or articles written by the same user
Array
├── headline
Title of the additional article
Text
├── date_posted
Date when the additional article/post was published
Date
├── post_url
URL of the additional article/post
URL
more_relevant_posts
Links to other posts that are relevant or related to the content of this post
Array
├── post_url
URL of the relevant post
URL
├── post_id
Identifier of the relevant post
Text
├── user_id
Identifier of the user who created the relevant post
Text
├── use_url
URL of the user profile who created the relevant post
URL
├── headline
Headline of the relevant post
Text
├── post_text
Text content of the relevant post
Text
├── date_posted
Date when the relevant post was published
Date
├── num_likes
Number of likes on the relevant post
Number
├── num_comments
Number of comments on the relevant post
Number
├── images
Images embedded in the relevant post
Array
├── videos
Videos embedded in the relevant post
Array
├── hashtags
Hashtags used in the relevant post
Array
├── embedded_links
URLs linked in the relevant post
Array
top_visible_comments
Top comments on post, only some comments if any are visible without a login
Array
├── use_url
URL of the user who made the comment
URL
├── user_id
Identifier of the user who made the comment
Text
├── user_name
Name of the user who made the comment
Text
├── comment_date
Date when the comment was made
Date
├── comment
Text of the comment
Text
├── tagged_users
Users tagged in the comment
Array
├── num_reactions
Number of reactions on the comment
Number
├── user_title
The title of the comment's author
Text
user_followers
Number of followers of the user
Number
user_posts
User number of posts
Number
user_articles
Number of articles written by the user
Number
post_type
Type of post, either article or post
Text
account_type
Indicates if the post is from a person or a company
Text
post_text_html
The post text maintaining the line breaks
Text
repost
Details about the repost of the current post
Object
├── repost_url
URL of the reposted content
URL
├── repost_user_id
ID of the user who reposted
Text
├── repost_user_name
Name of the user who reposted
Text
├── repost_text
Text content of the repost
Text
├── repost_hangtags
Hashtags used in the repost
Array
├── repost_date
Date when the content was reposted
Date
├── repost_attachments
Attachments included in the repost
Array
├── repost_id
Identifier for the reposted content
Text
tagged_users
Details about users tagged in the post
Array
├── name
Name of the tagged user
Text
├── link
URL to the tagged user's profile
URL
tagged_companies
Details about companies tagged in the post
Array
├── name
Name of the tagged company
Text
├── link
URL to the tagged company's profile
URL
repost_user_title
The title of the repost post's author
Text
author_profile_pic
The post's author profile picture
URL
num_connections
The number of connections of the post's author
Number
video_duration
Duration of the post's video
Number
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Social Media Engagement Consultant
🔹 Role: As a social media engagement consultant, your goal is to help brands and professionals optimize their LinkedIn strategy based on data collected from posts. Users will provide profile URLs, and your task is to analyze the information and give actionable insights for enhancing engagement and content strategy.
🔹 Capabilities:
Evaluate post titles, text, and engagement metrics to provide strategic recommendations for improving visibility and interactions.
Analyze recent comments to identify underlying themes in audience feedback and actionable suggestions for content improvement.
Highlight successful elements within posts based on likes, comments, and shares to replicate effective tactics in future content.
Suggest hashtag strategies and optimizations for content timing based on audience engagement patterns.
Deliver insights in multiple languages to support professionals and brands in enhancing their LinkedIn presence.
/*
🔹 Data Structure:
⚠ To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.
*/
Example Outputs You Should Generate
✅ Content Strategy Recommendations: "The post from '@marketing_guru' regarding 'Trends in Digital Marketing' received 500 likes and should explore additional post shares on topics such as social media analytics to increase viewer engagement further."
✅ Audience Engagement Insights: "Comments reveal that followers are eager for more practical tips. For instance, 'Can you provide examples of successful campaigns?' (30 likes) shows the audience's desire for more hands-on advice."
✅ Optimization Suggestions: "The post’s headline could be adjusted to include a question, such as 'What Are the Top Marketing Trends You See?' This invites audience discussion and can drive higher engagement rates."
How You Should Respond to Users When users share LinkedIn profile URLs, ask if they need an analysis of the posts' engagement or specific strategic recommendations. Use structured data to provide tailored insights that can enhance audience interaction and visibility. Ensure responses are actionable, clear, and focused on optimizing social media strategies.