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  • Prompt Examples:
  • Linkedin Profile Collector Dictionary

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  1. AI Agent Tools

Linkedin Profile Collector

Extract detailed information such as work experience, education, skills, and other publicly available data from LinkedIn profilesβ€” supports up to 50 profiles per input.

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 Profile Data Collector

πŸ”Ή Role: You are a LinkedIn profile data collector tasked with extracting detailed information from LinkedIn profiles using their URLs. Users will provide profile URLs, and your responsibility is to gather comprehensive data on work experience, education, skills, and other publicly available information for up to 50 profiles.

πŸ”Ή Capabilities:

  • Collect essential profile details, including user names, locations, current positions, and professional summaries to create a thorough overview of each LinkedIn user.

  • Analyze professional experience, including job titles, descriptions, and companies to understand career trajectories and areas of expertise.

  • Collect educational backgrounds detailing institutions, degrees, and fields of study to assess the academic qualifications of users.

  • Gather information on skills, certifications, and recommendations to evaluate users' competencies and endorsements from peers.

  • Present findings in multiple languages to cater to a global audience interested in professional networking and opportunities.

/*

πŸ”Ή 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

βœ… Profile Overview: "User ID: '123456', Name: 'Sarah Smith', located in 'New York, USA'. Current Position: 'Marketing Director at ABC Corp.' Profile Summary: 'Passionate marketing professional with over 10 years of experience in digital marketing and brand strategy.'"

βœ… Professional Experience: "Sarah's experience includes:

  • Title: 'Marketing Manager' at 'XYZ Co.' (2018 - Present) - 'Led a team of 10 to execute marketing strategies that increased lead generation by 30%.'

  • Title: 'Content Specialist' at '123 Media' (2015 - 2018) - 'Developed content that improved engagement rates by 25%.'"

βœ… Education: "Education history reveals:

  • Master’s Degree in Business Administration from 'State University' (2013 - 2015).

  • Bachelor of Arts in Communications from 'Local College' (2009 - 2013)."

βœ… Skills and Endorsements: "Sarah has acquired skills in 'Digital Marketing', 'Content Creation', and 'SEO'. She has received 50 endorsements for her skills from colleagues and industry connections."

βœ… Recommendations: "Sarah has received multiple recommendations highlighting her leadership skills and ability to drive results in marketing campaigns."

How You Should Respond to Users When users provide LinkedIn profile URLs, inquire if they would like an overview of specific elements (e.g., experience, education, skills). Utilize structured data to present key metrics and analyze how effectively each profile showcases professional expertise. Suggest potential growth areas based on skills and experiences observed in the profiles. Ensure all responses are informative, concise, and aims to enhance users' understanding of LinkedIn professional networking.

Career Growth Consultant

πŸ”Ή Role: As a career growth consultant, your aim is to help individuals leverage their LinkedIn profiles for professional advancement. Users will provide profile URLs, and your task is to analyze the information and give actionable insights for optimizing their profiles and networking strategy.

πŸ”Ή Capabilities:

  • Evaluate user profiles and suggest enhancements for job titles, summaries, and recommended skills to improve visibility and attractiveness to potential employers.

  • Analyze experiences and educational backgrounds to provide recommendations for skill development or certifications that could enhance career opportunities.

  • Identify successful networking strategies based on the user's connections and interactions on LinkedIn.

  • Suggest content creation strategies for users to engage their networks and build authority within their industries.

  • Deliver insights in multiple languages to assist a diverse group of professionals aiming to elevate their careers.

/*

πŸ”Ή 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

βœ… Profile Optimization Suggestions: "For user 'Sarah Smith', consider updating her headline to include keywords such as 'Digital Marketing Expert' to enhance discoverability. Additionally, a more detailed summary emphasizing analytical skills and successes would attract recruiters."

βœ… Career Development Insights: "Given Sarah's background, pursuing certifications in 'Google Analytics' and 'Advanced SEO' can enhance her digital marketing skill set, making her a more competitive candidate in the job market."

βœ… Networking Strategy: "Engaging with posts related to 'Marketing Trends' and connecting with industry leaders could broaden Sarah's professional network and lead to valuable opportunities."

How You Should Respond to Users When users share LinkedIn profile URLs, ask if they need comprehensive profile assessments or specific strategic recommendations. Use structured data to provide tailored insights that can enhance their visibility and professional interactions on LinkedIn. Ensure responses are actionable, clear, and focused on optimizing networking strategies.

LinkedIn Content Performance Analyst

πŸ”Ή Role: You are a LinkedIn content performance analyst dedicated to evaluating user profiles to understand how well they present themselves through posts and engagement. Users will provide profile URLs, and your objective is to assess their professional branding and content engagement to provide insights for improvement.

πŸ”Ή Capabilities:

  • Analyze published posts to determine interaction levels based on likes, comments, and engagement scores.

  • Evaluate trends in post engagement to identify content types that resonate with the audience and reflect personal branding.

  • Gather insights into comments and audience reactions to measure the effectiveness of engagement strategies.

  • Report on the effectiveness of hashtags and incorporated links in contributing to post visibility and engagement.

  • Present findings in various languages to appeal to a global audience of LinkedIn professionals.

/*

πŸ”Ή 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

βœ… Content Engagement Overview: "User 'Sarah Smith' has published 12 posts with an average of 300 likes and 50 comments, indicating moderately successful audience engagement. Notable for promoting marketing insights and personal branding."

βœ… Audience Reaction Insights: "Comments indicate a positive reception, with users often saying 'Great insights!' and asking follow-up questions. This engagement suggests a strong interest in her professional expertise."

βœ… Hashtag Effectiveness Report: "Usage of hashtags like #Marketing and #DigitalTrends has enhanced post visibility, resulting in a 25% increase in engagement for posts containing these tags compared to others."

How You Should Respond to Users When users provide LinkedIn profile URLs, ask whether they want a general performance overview or specific insights regarding engagement trends on their posts. Use structured data to derive insights about audience interactions, effectiveness of posts, and branding strategies, providing suggestions to improve future content performance. Ensure responses are thorough, actionable, and focused on professional branding enhancement.


Linkedin Profile Collector Dictionary

Column Name

Description

Data Type

id

A unique identifier for the person's LinkedIn profile

Text

name

Profile name

Text

city

Geographical location of the user

Text

country_code

Geographical location of the user

Text

position

The current job title or position of the profile

Text

about

A brief description that provides a concise summary of the profile

Text

posts

Contains information related to the user's last LinkedIn posts

Array

β”œβ”€β”€ title

The title of the post

Text

β”œβ”€β”€ attribution

Attribution

Text

β”œβ”€β”€ img

An image associated with the profile

Image

β”œβ”€β”€ link

The URL or link to the post

URL

β”œβ”€β”€ created_at

The timestamp indicating when the post was written

Text

β”œβ”€β”€ interaction

The interaction with the post (liked/shared/posted)

Text

β”œβ”€β”€ id

A unique identifier for the post

Text

current_company

Provides information about the user's current professional position

Object

β”œβ”€β”€ link

The URL or link to the company's LinkedIn page

URL

β”œβ”€β”€ name

The name of the company

Text

β”œβ”€β”€ company_id

A unique identifier for the company in the dataset

Text

β”œβ”€β”€ industry

Historical data point; No longer available

Text

β”œβ”€β”€ title

The user's job title or position

Text

β”œβ”€β”€ location

Text

experience

Contains detailed information about user's professional history

Array

β”œβ”€β”€ title

Experience title

Text

β”œβ”€β”€ subtitle

Experience subtitle

Text

β”œβ”€β”€ subtitleURL

Experience subtitle URL

URL

β”œβ”€β”€ location

Experience location

Text

β”œβ”€β”€ description

Experience description

Text

β”œβ”€β”€ description_html

Experience description in HTML format

Text

β”œβ”€β”€ duration

Experience duration

Text

β”œβ”€β”€ start_date

Experience start date

Text

β”œβ”€β”€ end_date

Experience end date

Text

β”œβ”€β”€ duration_short

Shortened format of experience duration

Text

positions

Detailed information on held positions

Array

β”œβ”€β”€ subtitle

Positions subtitle

Text

β”œβ”€β”€ meta

Positions meta data

Text

β”œβ”€β”€ description

Positions description

Text

β”œβ”€β”€ duration

Positions duration

Text

β”œβ”€β”€ start_date

Positions start date

Text

β”œβ”€β”€ end_date

Positions end date

Text

β”œβ”€β”€ duration_short

Shortened format of position duration

Text

β”œβ”€β”€ title

Positions title

Text

β”œβ”€β”€ description_html

Positions description in HTML format

Text

β”œβ”€β”€ company

Experience company

Text

β”œβ”€β”€ company_id

Experience company ID

Text

β”œβ”€β”€ industry

Experience industry

Text

β”œβ”€β”€ url

Experience URL

URL

β”œβ”€β”€ company_logo_url

The URL linking to the company’s logo

URL

url

URL link to the LinkedIn profile

URL

people_also_viewed

Provides a list of LinkedIn profiles that other users viewed as well

Array

β”œβ”€β”€ profile_link

People URL link

URL

β”œβ”€β”€ name

Name

Text

β”œβ”€β”€ about

Text

Text

β”œβ”€β”€ location

Geographical location

Text

educations_details

Provides detailed educational background

Text

education

Provides user's educational history

Array

β”œβ”€β”€ title

Education title

Text

β”œβ”€β”€ degree

Education degree

Text

β”œβ”€β”€ field

Education field

Text

β”œβ”€β”€ meta

Education meta data

Text

β”œβ”€β”€ url

Education URL

URL

β”œβ”€β”€ start_year

Education start year

Text

β”œβ”€β”€ end_year

Education end year

Text

β”œβ”€β”€ description

Description of education

Text

β”œβ”€β”€ description_html

Description in HTML format

Text

β”œβ”€β”€ institute_logo_url

The URL for the institute’s logo

URL

recommendations_count

The total number of recommendations the user has received

Number

avatar

URL link to the LinkedIn user's profile picture

URL

courses

Contains information about courses or educational programs

Array

β”œβ”€β”€ subtitle

Courses subtitle

Text

β”œβ”€β”€ title

Courses title

Text

β”œβ”€β”€ meta

Courses meta data

Text

languages

Information on user's language proficiencies

Array

β”œβ”€β”€ subtitle

Languages subtitle

Text

β”œβ”€β”€ title

Languages title

Text

certifications

Licenses & Certifications obtained

Array

β”œβ”€β”€ meta

Certifications meta data

Text

β”œβ”€β”€ subtitle

Certifications subtitle

Text

β”œβ”€β”€ title

Certifications title

Text

β”œβ”€β”€ credential_url

URL link to credential

URL

recommendations

Recommendations received from connections

Array

volunteer_experience

Information on user’s volunteer work

Array

β”œβ”€β”€ cause

Volunteer cause

Text

β”œβ”€β”€ duration

Volunteer duration

Text

β”œβ”€β”€ duration_short

Shortened volunteer duration

Text

β”œβ”€β”€ end_date

Volunteer end date

Text

β”œβ”€β”€ info

Volunteer info

Text

β”œβ”€β”€ start_date

Volunteer start date

Text

β”œβ”€β”€ subtitle

Volunteer subtitle

Text

β”œβ”€β”€ title

Volunteer title

Text

followers

Number of users/companies following the profile

Number

connections

Number of connections the profile has

Number

current_company_company_id

The ID of the latest/current company of the profile

Text

current_company_name

The name of the latest/current company of the profile

Text

publications

List of publications

Array

β”œβ”€β”€ title

Publication title

Text

β”œβ”€β”€ subtitle

Publication subtitle

Text

β”œβ”€β”€ date

Publication date

Text

β”œβ”€β”€ description

Publication description

Text

patents

List of patents

Array

β”œβ”€β”€ title

Patent title

Text

β”œβ”€β”€ date_issued

Date the patent was issued

Text

β”œβ”€β”€ patents_id

Patent ID

Text

β”œβ”€β”€ description

Patent description

Text

projects

List of projects

Array

β”œβ”€β”€ title

Project title

Text

β”œβ”€β”€ start_date

Project start date

Text

β”œβ”€β”€ end_date

Project end date

Text

β”œβ”€β”€ description

Project description

Text

organizations

List of organizations

Array

β”œβ”€β”€ title

Organization title

Text

β”œβ”€β”€ membership_type

Type of membership

Text

β”œβ”€β”€ start_date

Membership start date

Text

β”œβ”€β”€ end_date

Membership end date

Text

β”œβ”€β”€ description

Organization description

Text

β”œβ”€β”€ membership_number

Membership number

Text

location

User’s geographical location

Text

input_url

The URL entered when starting the scraping process

URL

linkedin_id

LinkedIn ID

Text

activity

Recent activity regarding posts

Array

β”œβ”€β”€ interaction

Type of interaction

Text

β”œβ”€β”€ link

URL link to the activity

URL

β”œβ”€β”€ title

Title of the activity

Text

β”œβ”€β”€ img

Image URL

URL

β”œβ”€β”€ id

Activity ID

Text

linkedin_num_id

Numeric LinkedIn ID

Text

banner_image

Banner image URL

URL

honors_and_awards

List of honors and awards

Array

β”œβ”€β”€ title

Title of the honor or award

Text

β”œβ”€β”€ publication

Publication related to the honor or award

Text

β”œβ”€β”€ date

Date the honor or award was received

Date

β”œβ”€β”€ description

Description of the honor or award

Text

similar_profiles

LinkedIn profiles similar to this one

Array

β”œβ”€β”€ url

Profile URL

URL

β”œβ”€β”€ name

Profile name

Text

β”œβ”€β”€ title

Profile title

Text

β”œβ”€β”€ url_text

URL text

Text

default_avatar

Indicates if the avatar picture is the default empty picture

Boolean

memorialized_account

Indicates if the account is memorialized

Boolean

bio_links

Array

β”œβ”€β”€ title

Text

β”œβ”€β”€ link

URL

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