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From signal to workflow

How to export LinkedIn engagement to Google Sheets

A spreadsheet is still the fastest way to make LinkedIn engagement useful to more than one person. Everyone can open it, filter it, and sort it, and nobody needs a login to yet another tool. Agencies use a sheet to show clients who engaged with the month's posts, SDR teams use one as a working call list, and founders use one to check whether their content reaches actual buyers. LinkedIn gives you no path from a post to a spreadsheet, so here's the manual route and the automated one.

The manual way

  1. Set up a sheet with columns for name, headline, profile URL, company, engagement type, post link, and date. Agree on the columns before you start, because retrofitting them across 200 rows is miserable.
  2. Open each tracked post, click the reaction count, and copy each person's name, headline, and profile URL from the Reactions modal into a row.
  3. Expand the comment thread, switch the sort to 'Most recent', and add commenters the same way, with the comment text pasted into its own column.
  4. Fill in company and role by opening profiles one at a time, since headlines alone are unreliable ('Helping brands grow' tells you nothing).
  5. Repeat for every post, every week, and dedupe repeat engagers by profile URL so the same person doesn't appear five times.

The sheet decays the moment you stop feeding it. Manual entry runs about two minutes per person once you include the profile visit, so 50 engagers costs most of a morning, and the rows you typed hold whatever the headline claimed rather than verified company data. Late engagement never makes it in either, because nobody re-opens last week's posts. In practice the sheet is complete for the first week and fiction afterwards.

The Folkscope way

  1. 1

    Track your accounts in Folkscope

    Add the profiles and company pages whose engagement should feed the sheet. Folkscope syncs them daily and enriches every engager with role, company, and location.

  2. 2

    Create a Flow with a webhook action

    Pick the trigger that matches the sheet's purpose: NEW_LEAD to log everyone, or an ICP-qualified trigger if the sheet is a call list.

  3. 3

    Catch the webhook in Zapier or Make

    Set up a webhook trigger and a Google Sheets 'Add Row' action, then paste the trigger URL into the Folkscope Flow.

  4. 4

    Map fields to columns

    Map name, role, company, location, ICP score, engagement type, post link, and date to your header row.

  5. 5

    Test with one engagement

    Run a single test and check the row lands with the right values. From there the sheet fills itself, and your only job is reading it.

What you end up with

Every engager lands in the sheet as a row within a day of the engagement, with enriched fields (verified role, company, location) and an ICP score instead of a pasted headline. The sheet stays current on its own, teammates without a Folkscope login can work from it, and a pivot on the score column shows which tracked accounts produce buyers.

Frequently asked questions

Does Folkscope write to Google Sheets natively?

It connects through the webhook layer rather than a native writer. A Flow fires an outbound webhook, Zapier or Make catches it, and an 'Add Row' step appends the lead. If you'd rather skip the middle tool, point the webhook at a small Apps Script or your own service that calls the Sheets API.

What columns should the sheet have?

Start with name, role, company, location, ICP score, engagement type, the post link, and the date. Put score early, because it's the column your team will sort by. Add a comment-text column if you capture commenters, since it's the best qualification evidence in the sheet.

Should I log every engager or only qualified ones?

Log everyone if the sheet doubles as content analytics, since totals per post tell you which topics pull in your audience. Gate the Flow on ICP score if the sheet is a call list, because reps shouldn't have to scroll past students and competitors' employees to find work. Some teams run two tabs off two Flows, one for each purpose.

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