Linkedin recently added the ability for you to download your Linkedin data which contains a huge pile of data that you can’t access any other way. It’s interesting to see and you can use it to analyse your Linkedin usage. I might start doing it on a quarterly basis to track my progress on Linkedin.
How to I get my data?
To request a download of your data:
- Move your mouse to your profile photo at the top right of Linkedin and select the “Privacy & Settings” section
- You’ll be asked to sign in again
- Click on the “Account” tab, it’s the last tab on the bottom
- Click on “Request an archive of your data”
- Click the “Request Archive” button
- You should get a message “Success! You’ll get an email within 72 hours with a link to download your archive.”
- You will also receive an email with the subject line: “Your request for your data archive” to confirm it was you.
- Now, sit tight and wait for your data.
What data do I get from Linkedin?
- Your Registration information
- Login history including IP addresses
- Your Email address history
- Full account history including opening and closing of accounts
Other Cool information:
- Your Name information including the current name and any previous name changes
- A full list of your 1st degree connections
- All Photos that have been uploaded to your account
- Endorsements you’ve received from others
- List of skills listed on your profile
- Recommendations given and received by others
- Your Group contributions
- Your complete search history
- The Content you’ve shared, liked, posted and commented on
- List of mobile apps you’ve installed
- Ads you’ve clicked on
- The targeting criteria LinkedIn uses to show you ads (this is cool to see)
How will I receive the data?
You will receive a .ZIP file that contains mostly .CVS files that can be opened up with either Excel or Google Docs. It also contains a README.TXT file that you can open up with any text reader and it describes exactly what is contained in all the files.
I think the data is pretty interesting and will be good to track over time. Hopefully, going forward some developers will make tools to allow you to easily sort and process this data.
Thoughts or comments? Share them below