LinkedIn plugin — how the types work
The LinkedIn plugin turns a LinkedIn data-export archive into a live, browsable profile. Every type
is a dynamic node type — its C# lives under Source/*.cs and the mesh compiles it live on install.
No app rebuild, no NuGet.
The profile
LinkedIn/LinkedInProfile is the hub. Its content (LinkedInProfile) carries display name,
headline, about, picture/profile URLs and page stats (followers, impressions, likes…). Its
Overview view composes a rich page: header + stats table, then Experience, Education
(pulled live from the profile's child nodes — nodeType:LinkedIn/Position / LinkedIn/Education)
and Skills, which come from the archive CSV via LinkedInSkill rather than from child nodes.
The archive data types
The rest are one type per LinkedIn archive CSV. Each is the same shape — a content record + a CSV
Loader (reads archive/<File>.csv from the partition's content collection) + a Data view that
renders a sortable DataGrid:
| Type | Archive CSV | Grid |
|---|---|---|
| Position | Positions.csv | title · company · location · dates |
| Education | Education.csv | degree · school · dates |
| Skill / LinkedInSkill | (profile) / Skills CSV | skill names |
| Connections | Connections.csv | name · company · position · connected-on |
| Message | Messages.csv | from · to · date · subject · content |
| Invitation | Invitations.csv | from · to · direction · sent-at |
| EndorsementGiven / EndorsementReceived | Endorsement_*_Info.csv | skill · person · date · status |
| RecommendationGiven | Recommendations_Given.csv | name · company · title · text |
| CompanyFollow | Company Follows.csv | organization · followed-on |
| Learning | Learning.csv | title · type · watched · completed |
| RichMedia | Rich_Media.csv | date · description · link |
Loading your own archive
- Request your data export from LinkedIn (Settings → Data privacy → Get a copy of your data).
- Drop the CSVs into the partition's
content/archive/collection. - The types' loaders pick them up — no code changes; each grid fills from its CSV.