LinkedIn Company Followers Export
The LinkedIn Company Followers Export automation helps founders, marketers, and sales professionals extract detailed follower data from LinkedIn company profiles. Easily schedule, run, and export results to Google Sheets or CSV for analysis. With options for manual input or bulk processing, this tool is ideal for audience segmentation, competitive insights, and lead generation.
Tutorial
Overview
The LinkedIn Company Followers Export automation allows you to extract a comprehensive list of followers for any LinkedIn company page. This tool is invaluable for sales managers, marketers, and growth hackers seeking insights into company followers for lead generation, competitive analysis, or audience segmentation. Follow this guide to configure the automation and export follower data to Google Sheets or CSV for further analysis.
Step 1: Log in to the TexAu App and Locate the Automation
Log in to your TexAu account at TexAu. Navigate to the Automation Store and search for LinkedIn Company Followers Export in the search bar to locate the automation.
Step 2: Connect to LinkedIn with TexAu
Connect your LinkedIn account to enable TexAu to extract the followers' data. Click Add Account and choose LinkedIn. Select one of the following options:
- Magic Link: A secure link sent to your email, allowing quick login without manual cookie management.
- Add Account: Direct connection via TexAu’s browser extension for a seamless setup.
Tip: Use Magic Link for a quick and secure connection.
Step 3: Select Your Input Source
Specify the LinkedIn company profiles for which you want to export follower data. TexAu provides the following options:
- Manually Enter a Single Input: Enter the LinkedIn company URL in the input field for one company profile.
- Google Sheets: Link a shared Google Sheet containing LinkedIn company URLs, each in a separate row.
- CSV File: Upload a CSV file with LinkedIn company URLs listed in a single column.
Tip: Use Google Sheets or CSV for bulk processing multiple company profiles.
Step 4: Schedule the Automation (Optional)
Use the Schedule feature to run the automation at a preferred time or at regular intervals. Set the start date and recurrence frequency to keep your follower data updated. Options include:
- None
- At Regular Intervals (e.g., every 12 hours)
- Once
- Every Day
- On Specific Days of the Week
- On Specific Dates
Step 5: Set an Iteration Delay (Optional)
Configure an Iteration Delay to avoid LinkedIn restrictions. Set minimum and maximum delay values (in seconds, minutes, or hours) to randomize the interval between each data extraction, simulating natural behavior.
Step 6: Choose Your Output Mode (Optional)
Select the desired Output Mode to export or manage the extracted follower data. Options include:
- Export Options: Choose Google Sheets or CSV for data export. Link your Google account for direct export to Google Drive.
- Output Management:
- Append (Default): Adds new data to the existing file.
- Split: Creates a new file for each run.
- Overwrite: Replaces the previous file with the latest data.
- Duplicate Management: Enable Deduplicate to remove duplicate entries automatically.
Tip: Export directly to Google Sheets for real-time collaboration and reporting.
Step 7: Run the Automation on Cloud or Desktop
Click Run to execute the automation. Choose one of the following modes:
- Cloud: Runs the automation on TexAu’s servers for hands-free operation.
- Desktop: Runs locally on your system, using your IP address for LinkedIn access.
Tip: Use Desktop mode to save cloud credits or for enhanced control over the process.
Step 8: Access the Data from the Data Store
Once the automation is complete, go to the Data Store section. Locate the LinkedIn Company Followers Export automation and click See Data to view or download the extracted follower data.
This automation simplifies extracting follower data, offering actionable insights for growth and sales strategies. With customizable scheduling, seamless Google Sheets integration, and flexible output options, TexAu empowers you to make data-driven decisions.
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