Notion is a new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Emit new event when a database is created. Note: Databases must be shared with your Pipedream Integtration to trigger event.
Emit new event when a page or one of its sub-pages is updated.
Emit new event when a page in a database is updated. To select a specific page, use Updated Page ID
instead
Creates and appends blocks to the specified parent. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a page from a parent page. The only valid property is title. See the documentation
Creates a new page copied from an existing page block. See the docs
Notion's API allows for the creation, reading, updating, and deleting of pages, databases, and their contents within Notion. Using Pipedream's platform, you can build workflows that connect Notion with various other services to automate tasks such as content management, task tracking, and data synchronization. With Pipedream's serverless execution, you can trigger these workflows on a schedule, or by external events from other services, without managing any infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
notion: {
type: "app",
app: "notion",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.notion.com/v1/users/me`,
headers: {
Authorization: `Bearer ${this.notion.$auth.oauth_access_token}`,
"Notion-Version": `2021-08-16`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}