Obsidian $5k Bounty: Notion API Importer with Databases→Bases Conversion
Read ArticleRead Original Articleadded Sep 17, 2025September 17, 2025

Obsidian is offering a $5,000 bounty to build a Notion API importer that converts Notion pages and databases into Obsidian Markdown and Bases. The project must handle the new Notion Data Source object, attachments, and accurate property/view mapping. Testable, reproducible imports are required, and selection of a developer is expected within days.
Key Points
- Build a Notion API importer (using integration token) that supports the new Notion Data Source object (Sept 2025).
- Convert Notion content to Obsidian-flavored Markdown, including tables, to-dos, and accurate block rendering.
- Download and relink images/attachments to the user’s chosen attachment location in Obsidian.
- Implement Databases→Bases translation, deciding how to map views, properties, groups, summaries/rollups, and formulas into Base filters and frontmatter.
- Provide working tests and a reproducible import scenario; bounty is $5,000 with a 30-day timeframe.
Sentiment
Mixed: supportive of bounties in general, cautiously optimistic about assisted tooling, but skeptical about the bounty size, the difficulty of Notion→Bases fidelity, and the quality risks of AI-generated PRs.
In Agreement
- Open-source bounties are an effective way to motivate contributors and offload maintainer workload; even modest amounts can catalyze engagement.
- LLMs can be helpful for migrations, exploring APIs, enumerating edge cases, and generating tests and docs, making them a useful assistant for this task.
- A PR already exists attempting the importer, suggesting feasibility if guided and reviewed properly.
- For developers with prior Notion and Obsidian experience, the project may be tractable within the bounty terms.
Opposed
- $5,000 is likely insufficient given the complexity and limitations of Notion’s API and the difficulty of faithfully mapping databases to Obsidian Bases.
- LLM-assisted development often yields low-quality or incoherent PRs, misses edge cases, and increases maintainer review burden and spam.
- The existing AI-heavy PR was criticized as monolithic and hard to review; concerns that AI-generated code should be disclosed or even labeled by law.
- Requiring applicants to explore both the Importer codebase and Notion API upfront reduces the expected value for candidates, further shrinking the pool.
- Notion’s API lacks full feature parity with the UI, making complete fidelity and complex features (rollups, formulas, grouping) challenging.