notionify 0.1.2

High-fidelity bidirectional Markdown ↔ Notion conversion and synchronization SDK

notionify

High-fidelity bidirectional Markdown ↔ Notion conversion and synchronization SDK for Python 3.10+.

Features

• Markdown → Notion — Parse Markdown and create Notion pages with headings, lists, code blocks, tables, math equations, images, and more
• Notion → Markdown — Export Notion pages back to clean Markdown
• Diff sync — Update pages incrementally with minimal API calls using LCS-based diffing
• Image pipeline — Automatic upload of local files, data URIs, and external URLs via the Notion file upload API
• Async support — Full async client for high-throughput workflows
• Typed errors — Every failure has a specific error class with actionable context
• Retry & rate limiting — Built-in exponential backoff, jitter, and rate-limit compliance

Installation

pip install notionify

Quick Start

Create a page from Markdown

from notionify import NotionifyClient

with NotionifyClient(token="ntn_xxxxx") as client:
    result = client.create_page_with_markdown(
        parent_id="<page-or-database-id>",
        title="Meeting Notes",
        markdown="# Agenda\n\n- Review Q4 goals\n- **Action items**\n\n```python\nprint('hello')\n```",
    )
    print(result.page_id)

Append content to an existing page

client.append_markdown(
    target_id="<page-id>",
    markdown="## New Section\n\nAppended content with *formatting*.",
)

Update a page with diff sync

Only the changed blocks are updated — unchanged content is left untouched:

result = client.update_page_from_markdown(
    page_id="<page-id>",
    markdown=updated_markdown,
    strategy="diff",       # default; use "overwrite" to replace everything
)
print(f"Kept {result.blocks_kept}, inserted {result.blocks_inserted}, "
      f"deleted {result.blocks_deleted}")

Export a Notion page to Markdown

markdown = client.page_to_markdown("<page-id>", recursive=True)
print(markdown)

Async client

import asyncio
from notionify import AsyncNotionifyClient

async def main():
    async with AsyncNotionifyClient(token="ntn_xxxxx") as client:
        result = await client.create_page_with_markdown(
            parent_id="<page-id>",
            title="Async Page",
            markdown="# Created asynchronously\n\nWith full image support.",
        )
        print(result.page_id)

asyncio.run(main())

Configuration

All options are passed as keyword arguments to the client constructor:

client = NotionifyClient(
    token="ntn_xxxxx",
    math_strategy="equation",           # "equation" | "code" | "latex_text"
    image_upload=True,                   # auto-upload local/data-URI images
    image_fallback="skip",              # "skip" | "placeholder" | "raise"
    image_base_dir="/safe/path",        # restrict local image reads to this dir
    enable_tables=True,                  # convert Markdown tables to Notion tables
    retry_max_attempts=5,               # max retries on transient failures
    rate_limit_rps=3.0,                 # requests per second limit
    timeout_seconds=30.0,               # per-request timeout
)

See the API Reference for the full list of options.

Error Handling

All errors inherit from NotionifyError and carry structured context:

from notionify import NotionifyClient, NotionifyRateLimitError, NotionifyError

with NotionifyClient(token="ntn_xxxxx") as client:
    try:
        client.create_page_with_markdown(
            parent_id="<page-id>",
            title="Test",
            markdown="# Hello",
        )
    except NotionifyRateLimitError as e:
        print(f"Rate limited, retry after: {e.context}")
    except NotionifyError as e:
        print(f"[{e.code}] {e.message}")

Documentation

• Quickstart — Installation, first page, async usage
• API Reference — Full method signatures, config, result types
• Conversion Matrix — Markdown/Notion compatibility table
• Error Cookbook — Handling rate limits, images, conflicts
• Migration Guide — Upgrading from v1.x/v2.x
• FAQ — Common questions and answers

Development

# Clone and install dev dependencies
git clone https://github.com/notionify/notionify.git
cd notionify
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Lint and type-check
ruff check src/ tests/
mypy src/notionify  # strict mode via pyproject.toml

# Performance benchmarks
pytest tests/perf/ -v -s

License

MIT