Notion

Notion is a community skill for interacting with Notion workspaces, covering page creation, database queries, content updates, block manipulation, and workspace search for programmatic Notion management.

What Is This?

Overview

Notion provides AI agents with the ability to read and modify Notion workspace content through the Notion API. It covers page creation that builds new pages with rich content blocks including headings, paragraphs, lists, and embedded media, database queries that filter, sort, and retrieve entries from Notion databases using property-based conditions, content updates that modify existing page text, properties, and block structures without rebuilding entire pages, block manipulation that adds, removes, and reorders individual content blocks within pages for precise editing, and workspace search that finds pages and databases across the entire workspace by title and content matching. The skill enables automation of Notion-based workflows and knowledge management tasks directly from AI agents, reducing manual overhead for teams managing large volumes of structured documentation.

Who Should Use This

This skill serves teams using Notion for project management and documentation, automation developers building Notion-integrated workflows, and AI agents managing knowledge bases stored in Notion workspaces. It is particularly valuable for organizations that rely on Notion as a central source of truth across multiple projects.

Why Use It?

Problems It Solves

Manually updating Notion pages and databases is time-consuming for repetitive tasks like status updates and data entry. The Notion API requires understanding complex block structures and property schemas to perform basic operations correctly. Syncing data between external systems and Notion databases involves custom integration code for each property type. AI agents cannot read or update project documentation stored in Notion without a structured interface to the platform API.

Core Highlights

Page builder creates rich content pages with structured blocks and embedded media. Database querier filters and retrieves entries using property-based conditions. Content updater modifies existing pages without requiring full page reconstruction. Workspace searcher finds pages and databases by title and content across the entire workspace.

How to Use It?

Basic Usage

import requests

headers = {
    'Authorization':
        'Bearer <token>',
    'Notion-Version':
        '2022-06-28',
    'Content-Type':
        'application/json'
}

resp = requests.post(
    'https://api.notion.com'
    '/v1/search',
    headers=headers,
    json={
        'query': 'Sprint Plan'
    })

pages = resp.json()[
    'results']
for p in pages:
    print(p['id'],
          p.get('url'))

Real-World Examples

db_id = '<database-id>'
query = requests.post(
    f'https://api.notion.com'
    f'/v1/databases/'
    f'{db_id}/query',
    headers=headers,
    json={
        'filter': {
            'property':
                'Status',
            'select': {
                'equals':
                    'In Progress'
            }
        },
        'sorts': [{
            'property':
                'Priority',
            'direction':
                'ascending'
        }]
    })

tasks = query.json()[
    'results']
for t in tasks:
    title = t[
        'properties'][
        'Name']['title'][
        0]['plain_text']
    print(f'Task: {title}')

Advanced Tips

Use database filters with multiple conditions using the and or or compound filter operators to build targeted views that match specific workflow states. Create page templates as reusable block structures that can be cloned for consistent documentation formatting. Implement pagination for large database queries since the API returns results in batches of 100 entries, and use the next_cursor value from each response to retrieve subsequent pages reliably.

When to Use It?

Use Cases

Automate project status updates in Notion databases from CI/CD pipeline results. Build an AI assistant that creates and organizes meeting notes in Notion after each team call. Sync task data between Notion databases and external project management tools.

Related Topics

Notion API, project management, knowledge management, workspace automation, database operations, and content management systems.

Important Notes

Requirements

A Notion integration token with appropriate permissions for the target workspace pages and databases. The Notion API version header set to a supported version for compatibility with current endpoint behaviors. Network access to the Notion API endpoints for all read and write operations.

Usage Recommendations

Do: use database queries with filters to retrieve specific subsets of data rather than fetching all entries. Test write operations on non-critical pages first to verify block structure formatting before applying changes to production content. Handle pagination cursors when querying large databases to ensure all results are retrieved.

Don't: store sensitive credentials directly in automation scripts that access the Notion API. Modify page structures without understanding the block hierarchy since incorrect nesting causes API errors. Assume real-time consistency since Notion API changes may take a moment to reflect across all clients.

Limitations

The Notion API has rate limits that restrict the number of requests per second per integration token. Some advanced Notion features like inline databases and synced blocks have limited or no API support. Rich media blocks such as embedded videos and files require specific URL formats that may not match all source content.