Notion Page Document Loader

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Node Details

• Name: NotionPage_DocumentLoaders
• Type: Document
• Category: Document Loaders
• Version: 1.0

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Credentials

• Type: Notion API
• Required: Yes
• Description: Connects to the Notion API using an integration token.

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Input Parameters

1. Text Splitter (optional)

   • Type: TextSplitter
   • Description: A text splitter to break down large documents into smaller chunks.

2. Notion Page Id (required)

   • Type: string
   • Description: The 32-character hexadecimal ID of the Notion page to load. This can be found in the URL of the Notion page.

3. Additional Metadata (optional)

   • Type: JSON
   • Description: Additional metadata to be added to the extracted documents.

4. Omit Metadata Keys (optional)

   • Type: string
   • Description: A comma-separated list of metadata keys to omit from the final documents. Use ’*’ to omit all default metadata keys except those specified in Additional Metadata.

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Output

An array of IDocument objects, each representing a page or subpage from the specified Notion page. Each document contains:

• Page content
• Metadata (either default or customized based on input parameters)

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Functionality

1. Initializes a NotionAPILoader with the provided Notion integration token and page ID.
2. Loads documents from the specified Notion page.
3. If a text splitter is provided, splits the loaded documents.
4. Applies additional metadata if specified.
5. Omits metadata keys as requested.
6. Returns the processed array of documents.

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Use Cases

• Content aggregation from Notion for further processing or analysis
• Preparing Notion-based documentation for use in language models or search systems
• Creating a knowledge base from Notion pages for Q&A systems

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Notes

• Ensure you have the necessary Notion API credentials and permissions to access the specified page.
• The node supports customization of metadata, allowing for flexible integration with various downstream processes.
• Text splitting can be useful for handling large Notion pages or for preparing content for specific NLP tasks.