How to organize LinkedIn bookmarks in Notion or Obsidian
LinkedIn calls them saved posts; most people treat them as bookmarks. Export the complete content, then choose a lightweight system based on how you expect to find and use it later.
Use LinkedIn Bookmark Exporter to create CSV for a sortable Notion bookmark database. Create Markdown for an Obsidian bookmark archive with durable local text, links between ideas, and full-text search. In either tool, preserve the untouched export, process only useful bookmarks, and record why each keeper matters.
Export LinkedIn bookmarks instead of copying them one by one
Notion and Obsidian cannot organize content they do not have, and bookmark URLs alone are weak inputs for full-text search. On desktop Chrome, open LinkedIn’s Saved Items → Saved posts and articles page and use LinkedIn Bookmark Exporter to collect the bookmark history.
- Choose CSV if Notion is the destination.
- Choose Markdown if Obsidian is the destination.
- Leave the LinkedIn tab open while the extension auto-scrolls and expands each bookmarked post.
- Download the file and keep an untouched dated copy outside the destination app.
- Spot-check several long posts and source URLs before importing.
The bookmark export includes full post text, author and profile details, original URLs, dates, engagement, hashtags, and mentions. This preserves enough context to find and evaluate a post even when you do not remember its exact LinkedIn URL.
Choose based on how you expect to retrieve a post
| Question | Notion | Obsidian |
|---|---|---|
| How do I browse? | Database views, filters, sorts | Folders, search, links, tags |
| Best starting export | CSV | Markdown |
| Where is data stored? | Cloud workspace | Local Markdown files by default |
| Best for | Teams and visual workflows | Personal research and durable notes |
| Main failure mode | Too many properties and views | Too many folders and unreviewed notes |
Notion is the easier choice if your natural question is “show me unreviewed sales bookmarks, sorted by engagement.” Obsidian is the easier choice if your question is “where have I seen this idea before, and what other notes connect to it?” Both can work. Pick the retrieval behavior you will actually use.
A practical Notion setup
Use the extension’s CSV download with Notion’s CSV importer. Current Notion documentation says CSV rows become database pages and columns become properties. That mapping is convenient, but imports add rows rather than updating existing ones—so repeated imports need a duplicate check based on the original post URL.
Keep only useful properties
| Property | Type | Why it exists |
|---|---|---|
| Post / excerpt | Title | Recognize the bookmark in a view |
| Author | Text | Filter recurring sources |
| Source URL | URL | Return to the original context |
| Published date | Date | Understand recency |
| Topic | Select | One primary retrieval bucket |
| Status | Select | Inbox, Keep, Used, Archive |
| Why bookmarked | Text | Your context, in your words |
Create two views first: Inbox, filtered to items without a status, and Keepers, grouped by topic. Do not create ten dashboards before the first review. A useful view answers a repeated question; otherwise it is decoration.
A practical Obsidian setup
Put the extension’s Markdown export in a folder such as Sources/LinkedIn/Raw. Keep that raw file untouched. You can search the single archive immediately, then split only keeper posts into individual notes during review.
For individual notes, use a compact frontmatter pattern:
---
source: linkedin
author: "Author name"
url: "https://www.linkedin.com/posts/..."
topic: positioning
bookmarked: 2026-08-27
status: keep
---
# The idea in my own words
Why it matters: ...
## Original post
...The “idea in my own words” line is more valuable than five nested tags. It creates a retrieval hook that reflects your language rather than the author’s phrasing. Link the bookmarked source to an existing project or concept only when a real relationship exists.
Use a taxonomy small enough to remember
A stable taxonomy separates topic from action. Topic describes what the post is about. Status describes what you intend to do with it.
- Topics: choose five to eight based on your work—perhaps positioning, hiring, product, sales, writing, leadership, and research.
- Status: Inbox, Keep, Used, Archive is usually enough.
- Projects: link a post to a live project only when it can change a decision or deliverable.
Avoid a different tag for every attractive phrase. If “founder-led growth,” “founder marketing,” and “founder brand” would always be searched together, they probably belong under one topic with the exact phrases left in full text.
The 15-minute weekly review
- Delete aggressively. Remove items that are merely interesting and have no likely use.
- Assign one topic. A primary topic makes browsing predictable.
- Write one sentence. Capture why the post matters or where it may be used.
- Connect selectively. Link it to a project, person, or concept only if the connection is actionable.
- Mark used items. A “Used” state reveals which sources actually improve your work.
Process a fixed number when the inbox is large. Twenty carefully reviewed posts are more useful than mechanically tagging 500. Keep the rest searchable in the raw archive until a real need surfaces.
Preserve a way out
Keep dated raw exports outside the destination tool. In Notion, periodically export important pages as Markdown & CSV. In Obsidian, back up the vault folder like any other local document collection. The goal is not merely to move bookmarks from one app to another; it is to keep source text, source URLs, and your own annotations separable.
If you need more detail on running and checking the extension, begin with the full LinkedIn bookmark export guide. For semantic questions across the collection, continue with the AI-searchable knowledge-base workflow.