SlipBot Instapaper Importer

Instapaper Import

Parse Instapaper highlight exports and create slipbox entries for user's notes.

Input Format

# [[Article Title](url)] > Original highlight from article (SKIP) User's note about the highlight (IMPORT) > Another highlight (SKIP) Another user note (IMPORT) Key distinction: > lines = Original article highlights → Skip these Plain text lines = User's own ideas/takeaways → Import these as notes

Header Line

Extract title from: # [[Title](url)] URL may be instapaper-private://... (private) or regular URL Source type: article Author: null (Instapaper doesn't include author)

Content Lines

Lines starting with > = original highlights → skip Plain text lines after > lines = user notes → import Empty lines → skip Each user note becomes a separate slipbox entry

Workflow

Parse header → extract article title and URL Extract user notes → collect plain text lines (not starting with >) Precheck → show user: article title, note count, ask for confirmation On confirmation → for each note, invoke slipbot: Type: note (- prefix) Source: ~ article, {title} Let slipbot handle: filename, tags, links, graph update Report → count of notes created

Example

• Input:
• # [[How to Learn Faster](https://example.com/article)]
• > Get feedback more often
• To learn faster we need faster feedback loops.
• > Latent learning occurs without reinforcement
• Testing yourself proactively speeds up learning.
• Extracted notes:
• "To learn faster we need faster feedback loops."
• "Testing yourself proactively speeds up learning."
• Slipbot calls:
• To learn faster we need faster feedback loops. ~ article, How to Learn Faster
• Testing yourself proactively speeds up learning. ~ article, How to Learn Faster

Edge Cases

No user notes (only > lines): Report "no notes to import" Multi-line user notes: Treat each paragraph as separate note Title with special chars: Preserve as-is for source metadata