> For the complete documentation index, see [llms.txt](https://agpt.co/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agpt.co/docs/integrations/block-integrations/search-6.md).

# Notion Search

Blocks for searching pages and databases in a Notion workspace.

## Notion Search

### What it is

Search your Notion workspace for pages and databases by text query.

### How it works

This block searches across your Notion workspace using the Notion Search API. It finds pages and databases matching your query text, with optional filtering by type (page or database).

Results include titles, types, URLs, and metadata for each match. Leave the query empty to retrieve all accessible pages and databases. Pagination is handled automatically up to the specified limit.

### Inputs

| Input        | Description                                                           | Type | Required |
| ------------ | --------------------------------------------------------------------- | ---- | -------- |
| query        | Search query text. Leave empty to get all accessible pages/databases. | str  | No       |
| filter\_type | Filter results by type: 'page' or 'database'. Leave empty for both.   | str  | No       |
| limit        | Maximum number of results to return                                   | int  | No       |

### Outputs

| Output      | Description                                                 | Type                      |
| ----------- | ----------------------------------------------------------- | ------------------------- |
| error       | Error message if the operation failed                       | str                       |
| results     | List of search results with title, type, URL, and metadata. | List\[NotionSearchResult] |
| result      | Individual search result (yields one per result found).     | NotionSearchResult        |
| result\_ids | List of IDs from search results for batch operations.       | List\[str]                |
| count       | Number of results found.                                    | int                       |

### Possible use case

**Content Discovery**: Find relevant pages in your workspace based on keywords or topics.

**Database Lookup**: Search for specific databases to use in subsequent operations.

**Knowledge Retrieval**: Search your Notion workspace to find answers or related documentation.

***


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://agpt.co/docs/integrations/block-integrations/search-6.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
