This workflow helps you transform LinkedIn post engagement into a qualified lead list by automatically extracting and analyzing comments. You can customize the LinkedIn post URL, the maximum number of comments to scrape, and the specific spam filters to suit your target audience. It uses Apify to scrape commenter data, then cleans the results to remove bots and low-quality profiles. For every valid lead, the workflow generates a custom relevance note and a suggested outreach angle based on their profile and comment. In this example, the workflow processes a single post URL, filters for high-intent commenters, and saves up to 20 enriched leads to a Google Sheet titled 'LinkedIn Comment Leads'.
What it does
1
Identify the target LinkedIn post URL from your input.
2
Scrape commenter profiles and comment text using Apify.
3
Filter out spam, bots, and incomplete profiles using custom logic.
4
Analyze lead data to generate relevance notes and personalized outreach angles.
5
Create a new Google Sheet with structured columns for lead management.
6
Save all qualified, enriched leads to the spreadsheet for your sales outreach.
Connectors
ApifyHow to use
1
Use the template
Click "Use this template" to open this workflow in Kuse and start from a ready-made setup.
2
Connect your accounts
Authorise the connectors listed above. Kuse guides you through each OAuth flow in the workflow editor.
3
Customise
Adjust the search criteria, output format, or schedule to fit your specific use case. All fields are editable.
4
Activate
Turn on the schedule or trigger the workflow manually from your Workflows dashboard to run it for the first time.
