LinkedIn Profile Data Extraction and Scoring Automation
ManualTrigger Automate streamlines the process of extracting and scoring LinkedIn profile data. By integrating Airtop and Google Sheets, it allows users to manually trigger a workflow that retrieves essential information such as job title, employer, and AI interest level, calculates an ICP score, and updates the corresponding Google Sheets row. This enhances data accuracy and efficiency, enabling better decision-making based on comprehensive profile insights.
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Workflow Overview
ManualTrigger Automate streamlines the process of extracting and scoring LinkedIn profile data. By integrating Airtop and Google Sheets, it allows users to manually trigger a workflow that retrieves essential information such as job title, employer, and AI interest level, calculates an ICP score, and updates the corresponding Google Sheets row. This enhances data accuracy and efficiency, enabling better decision-making based on comprehensive profile insights.
Target Audience
- Recruiters looking to assess candidates' profiles efficiently.
- Sales Teams aiming to identify potential clients based on LinkedIn profiles.
- Marketing Professionals interested in understanding audience demographics and interests.
- Data Analysts who need to extract and analyze LinkedIn data for strategic insights.
Problem Solved
This workflow automates the extraction of key information from LinkedIn profiles, addressing the challenge of manually gathering data for candidate evaluation or lead generation. It provides a structured approach to assess individuals based on their AI interest, technical depth, and seniority level, ultimately calculating an ICP Score that helps prioritize outreach efforts.
Workflow Steps
- Manual Trigger: The workflow begins when the user clicks ‘Test workflow’ to initiate the process.
- Get Person Data: It retrieves LinkedIn profile URLs and associated data from a Google Sheets document.
- Calculate ICP Person Scoring: The workflow uses the Airtop integration to extract detailed information from each LinkedIn profile, including:
- Full Name
- Current Job Title
- Current Employer
- Location
- Connections and Followers
- About Section Text
- AI Interest Level, Seniority Level, and Technical Depth
- Finally, it calculates an ICP Score based on predefined criteria.
- Format Response: The extracted data is formatted to include the row number, LinkedIn URL, and ICP Score for easy identification.
- Update Row in Google Sheets: The final step updates the corresponding row in the Google Sheets document with the new ICP Score and any other relevant information.