Import and enrich your team's shared LinkedIn networks to search across key data like company name, roles, employee count — using only a CSV file of your data.


1. Start a new base using the LinkedIn Network Enrichment template

Select the LinkedIn Network Enrichment template and watch your base come to life 🌀

2. Download your LinkedIn Network as a CSV

  1. Click this link to head to **linkedin.com/psettings/member-data.**

    OR To get there manually, log in and select the Me tab in the top navigation. Next, select Settings & Privacy and Get a copy of your data.

  2. Select Connections from the specific download options and hang tight for your download via email.

    https://s3-us-west-2.amazonaws.com/secure.notion-static.com/5d8f63a4-9e30-487b-919e-c0ab239a761b/Screenshot_2020-12-21_at_1.36.40_AM.png

    <aside> ✨ Tiny tip: check your spam folder ✨

    </aside>

    1. When your download is ready, download and unzip your file to extract your .csv.

3. Import your data in to Clay

Hit the Import button on the top right of your screen, select your brand new csv, add it into your LinkedIn Network Enrichment table and map all your fields into the new table.

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/31534055-5d25-4b97-91ac-463ba58c6904/Screen_Shot_2020-10-27_at_8.07.11_PM.png

4. Sit back, run, and enrich

Once you've pulled in your LinkedIn network data, hang tight and watch your base run 🏃 and automatically enrich with key metrics like employee count and more.


🏁 BONUS

Try out some small additions we've seen in the Clay community.

1️⃣ Add actions to go the extra mile

By default, our template will help you find the company domain and enrich with metrics like employee count and company description. Explore other actions you can add to your table by hitting the Add Action button.

2️⃣ Set up your specific views.

Change your insights without changing your data, and create views using the filter and sort features to easily compare, contrast and narrow down your data. For example, find all employees with a VP or Data Science title, a location of Los Angeles, and 50+ employees.