# Linkedin Profile Collector {% hint style="info" %} 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.** {% endhint %} ### 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 | --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aicado.ai/ai-agent-tools/linkedin-profile-collector.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.