LinkedIn Profile Page to Google Sheets: Extract Profile Data with One Click

If you’re recruiting, doing sales prospecting, or building a professional network, manually copying information from LinkedIn profiles into spreadsheets is time-consuming and tedious. The LinkedIn Profile to Google Sheets automation template solves this by extracting complete profile data with a single click or keyboard shortcut.

Automations allow you to build data processing workflows using a visual, drag-and-drop interface, and save right to Google Sheets - without coding.

What This Automation Does

The LinkedIn Profile automation template extracts profile information and organizes it into a structured row in your Google Sheets. Instead of manually copying and pasting each piece of information, the automation captures everything in one action.

LinkedIn Profile Automation Workflow

Visual workflow showing how profile data is extracted, cleaned up, and saved to Google Sheets

Data Extracted

The automation captures the following information from LinkedIn profiles:

Field Description
Full Name The person’s complete name from their profile
Professional Headline Their job title or professional tagline
Location Geographic location (city, state, country)
Website URL Personal website or portfolio link (if available)
Work Experience Complete work history, formatted and combined into a single field
Education School and degree information, formatted and combined
About Section Professional summary or bio text
Profile URL The LinkedIn profile URL for reference
Extraction Date Timestamp showing when the data was captured

How the Automation Works

This automation uses a visual no-code workflow that processes LinkedIn profile data through multiple stages:

Complete Block Configuration

The automation consists of 16 interconnected blocks that work together to extract, clean, and save profile data:

Block Name Block Type Category Configuration Details
Page Content Page Content Input Extracts HTML body content from the current LinkedIn profile page
Full Name Find Process CSS Selector: h1 - Extracts text from the main heading (profile name)
Professional Headline Find Process CSS Selector: .text-body-medium.break-words - Extracts the headline/tagline text
Location Find Process CSS Selector: .text-body-small.inline.t-black--light - Extracts location text
Website URL Find Process CSS Selector: .pv-top-card--website a - Extracts href attribute from website link
Work Experience Find Process CSS Selector: #experience ~ div ul li span[aria-hidden="true"]:not(.visually-hidden) - Extracts all experience entry text
Education Find Process CSS Selector: #education ~ div ul li span[aria-hidden="true"]:not(.visually-hidden) - Extracts all education entry text
About Section Find Process CSS Selector: #about ~ div ~ div - Extracts about/summary section text
Clean Experience Text Transform Process Transformation: Clean Whitespace - Removes extra spaces and line breaks from experience
Clean Education Text Transform Process Transformation: Clean Whitespace - Removes extra spaces and line breaks from education
Clean About Section Text Transform Process Transformation: Clean Whitespace - Removes line breaks and extra spaces from bio
Combine Experience Combine Structure Delimiter: <|> - Merges all experience entries into single field with separator
Combine Education Combine Structure Delimiter: | - Merges all education entries into single field with separator
Profile URL Custom Value Process Value: {{page_url}} - Adds current LinkedIn profile URL
Extraction Date Custom Value Process Value: =TODAY() - Adds Google Sheets TODAY() formula for current date
Save to Sheets Save to Sheets Output Maps all 9 fields to columns A-I in the target spreadsheet

👋 Important Note About CSS Selectors

LinkedIn occasionally updates their website’s HTML structure, which means the CSS selectors in this template may need to be updated over time. If you notice the automation isn’t extracting certain fields correctly, you can easily update the CSS selectors in the Find blocks to match LinkedIn’s new structure.

Our CSS Selector Reference guide provides detailed instructions on how to identify and update selectors when LinkedIn changes their page layout. You can also use your browser’s Developer Tools (right-click > Inspect Element) to find the correct selectors for any field that’s no longer working.


The Workflow Process

The automation follows a streamlined data pipeline:

ExtractCleanCombineEnrichSave

  1. Extract: Uses Find Blocks with CSS Selectors to pull specific profile fields from the page HTML
  2. Clean: Applies text transformations to remove extra whitespace and formatting inconsistencies
  3. Combine: Merges multi-entry fields (Experience, Education) into single, well-formatted text strings
  4. Enrich: Adds helpful metadata like the profile URL and extraction timestamp
  5. Save: Maps all processed data to the appropriate columns in your Google Sheet

All processing happens in your browser - no external servers involved. The workflow is fully customizable, so you can modify any block to match your specific data collection needs.

Setting Up the LinkedIn Profile Automation

Step 1: Import the Template

  1. Open the Add to Sheets extension
  2. Navigate to the Automations page
  3. Click Import Template
  4. Select LinkedIn Profile Extractor from the template library
  5. The pre-built workflow will load in your automation builder

Import Automation Template

Step 2: Prepare Your Google Sheet

Create a spreadsheet with the following column headers to match the automation output:

Full Name Professional Headline Location Website URL Work Experience Education About Section Profile URL Extraction Date

Pro Tip: You can customize which fields to include by modifying the “Save to Sheets” block in the automation workflow.

Step 3: Configure the Save Block

  1. In the automation workflow, click on the Save to Sheets block
  2. Select your Google Sheet where you want to save and have added the column headers
  3. Choose the sheet within the spreadsheet
  4. Map each field to the corresponding column:
Field Target Column
Full Name Column A
Professional Headline Column B
Location Column C
Website URL Column D
Work Experience Column E
Education Column F
About Section Column G
Profile URL Column H
Extraction Date Column I

LinkedIn Profile extract map columns

Step 4: Save Your Automation

  1. Click Save in the automation builder
  2. Give it a descriptive name like “LinkedIn Profile Extract”
  3. Optionally set up a keyboard shortcut for quick access

Using the LinkedIn Profile Automation

Once configured, there are a few ways to extract the profile information:

Option 1: Keyboard Shortcut (Fastest)

  1. Set up a keyboard shortcut for the Automation
  2. Navigate to any LinkedIn profile page
  3. Press your configured keyboard shortcut
  4. The automation runs and saves all profile data to your sheet
  5. Continue to the next profile and repeat

Option 2: Extension Side Panel

  1. Navigate to any LinkedIn profile page
  2. Open the Add to Sheets extension
  3. Click on the Automations tab
  4. Select your “LinkedIn Profile Extract” automation
  5. Click Run to execute

Real-World Use Cases

Recruiting and Talent Acquisition

The Problem: Manually copying candidate information from LinkedIn into your applicant tracking system or recruitment spreadsheet takes 2-3 minutes per profile. For high-volume recruiting, this adds up to hours of administrative work.

The Solution: Use the automation to extract complete candidate profiles in seconds. Build a database of potential candidates with their experience, education, and contact information all properly organized.

Example Output:

Full Name Professional Headline Location Work Experience Education Profile URL Extraction Date
Jane Smith Senior Software Engineer at Tech Corp San Francisco, CA Senior Software Engineer at Tech Corp (2020-Present), Software Engineer at Startup Inc (2017-2020) BS Computer Science, Stanford University https://linkedin.com/in/janesmith 2025-10-06

Sales Prospecting and Lead Generation

The Problem: Sales teams need to research prospects and log their information before outreach. Manually gathering this context from LinkedIn profiles is tedious and pulls reps away from selling.

The Solution: Extract prospect information including their role, company, and professional background instantly. Build a rich prospect database that helps personalize outreach.

Workflow:

  1. Search LinkedIn Sales Navigator for target prospects
  2. Visit each profile and press your keyboard shortcut
  3. Profile data is saved with proper categorization
  4. Use the data to personalize cold emails or LinkedIn messages

Network Building and Partnership Development

The Problem: After attending conferences or networking events, you want to track new connections and their backgrounds, but manually logging this information is time-consuming.

The Solution: As you connect with people on LinkedIn, extract their profile information to maintain a structured database of your professional network.

Benefits:

  • Track how you met each contact (add a custom column for notes)
  • Remember context about each person’s background
  • Identify patterns in your network (industries, roles, locations)
  • Follow up with relevant opportunities based on their experience

Market Research and Competitive Analysis

The Problem: Understanding the talent landscape at competitor companies requires analyzing dozens of employee profiles to see common backgrounds, education, and career paths.

The Solution: Extract profile data from employees at target companies to understand hiring patterns, required experience levels, and typical career progressions in your industry.

Analysis Ideas:

  • Identify common education backgrounds for specific roles
  • Track career progression patterns
  • Understand required experience levels
  • Find potential poaching targets with specific skill combinations

Tips and Customizations

Customize the Extraction Fields

The automation workflow is fully customizable. You can modify it to:

  • Add custom fields - Include additional data points like number of connections or mutual connections
  • Remove unnecessary fields - Skip fields you don’t need to speed up extraction
  • Change formatting - Adjust how work experience and education are formatted
  • Add additional fields with other CSS selectors - This template is just a starting point - modify as needed!

Set Up Multiple Variations

Create different versions of the automation for different purposes:

  • Quick Version - Extract only name, headline, location, and profile URL for rapid list building
  • Detailed Version - Include all fields for deep research
  • Recruiting Version - Focus on work experience and education
  • Sales Version - Emphasize headline, location, and about section for personalization

Combine with Other Tools

Once your LinkedIn data is in Google Sheets, you can:

  • Export to CRM - Import the structured data into Salesforce, HubSpot, or other CRMs
  • Create mail merges - Use the data for personalized email campaigns
  • Build analytics - Analyze patterns in your prospects or candidates
  • Sync with Zapier - Automate follow-up actions based on profile data
  • Use Google Sheets AI functions - Generate text, summarize information, categorize information,and analyze sentiment

Use with LinkedIn Search Results

For more efficiency when prospecting or recruiting:

  1. Perform a LinkedIn search (or use Sales Navigator)
  2. Open profiles in new tabs using Cmd/Ctrl + Click
  3. Switch through tabs pressing your keyboard shortcut on each
  4. Close each tab after extraction
  5. Build a complete database in minutes

Handling LinkedIn’s Layout Changes

LinkedIn occasionally updates their page structure, which might affect data extraction. If you notice the automation isn’t capturing data correctly:

  1. Open the automation in the builder
  2. Check which extraction blocks are having issues
  3. Update the CSS selectors in the Find blocks to match LinkedIn’s new structure
  4. Test on a profile page to ensure proper extraction
  5. Save your updated automation

Our CSS Selector Reference provides guidance on targeting specific elements when LinkedIn’s structure changes.

Troubleshooting

Automation Not Extracting All Fields

Cause: LinkedIn shows different fields based on the viewer’s relationship to the profile and the profile’s privacy settings.

Solution: Some profiles may have limited information visible. The automation will extract whatever data is available on the page. Premium LinkedIn accounts typically see more complete profiles.

Work Experience or Education Not Combining Properly

Cause: LinkedIn’s HTML structure can vary between profiles.

Solution: Open the automation and check the “Combine Experience” and “Combine Education” blocks. You may need to adjust the separator character or formatting options.

Data Saving to Wrong Columns

Cause: Column mapping in the “Save to Sheets” block doesn’t match your spreadsheet structure.

Solution: Open the automation, click on the “Save to Sheets” block, and verify that each field is mapped to the correct column in your spreadsheet.

Keyboard Shortcut Not Working

Cause: The shortcut may conflict with other extensions or browser shortcuts.

Solution: Open the automation settings and try a different keyboard shortcut combination.

Example Using Automation Templates

This is a full length example using an automation example for finding all URLs on a website. The same steps can be used with the LinkedIn template.

How to Get Started

  1. Install Add to Sheets from the Chrome Web Store (if you haven’t already)
  2. Upgrade to the Automations plan to access automation templates
  3. Import the Extract LinkedIn Profile template from the template import picker
  4. Configure your Google Sheet with the column headers
  5. Start extracting profiles with a single click or keyboard shortcut

Have questions about the LinkedIn Profile automation or need help customizing it for your use case? Reach out to us at [email protected] or connect on Threads.