Integrate the Dynalist API with the Python API

Setup the Dynalist API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Dynalist and Python remarkably fast. Free for developers.

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Popular Dynalist and Python Actions#

Edit Document Title with the Dynalist API

Edits the title of a specific document in Dynalist. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Document Content with the Dynalist API

Fetches the content of a specific document. See the documentation

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Insert Document Content with the Dynalist API

Inserts content to a specific document. If the document has existing content, the new content will be appended. See the documentation

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Overview of Dynalist#

The Dynalist API enables programmatic access to the powerful outlining and organizing features of Dynalist, a tool designed for structured note-taking and dynamic lists. With Pipedream, you can automate tasks, sync data, and connect Dynalist to other apps and services to enhance productivity. This could include creating new documents, updating lists, and extracting items for reporting or integration with project management tools.

Connect Dynalist#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dynalist: {
      type: "app",
      app: "dynalist",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.dynalist.$auth.api_token}`,
    }
    return await axios($, {
      method: "post",
      url: `https://dynalist.io/api/v1/file/list`,
      data,
    })
  },
})

Overview of Python#

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:

Connect Python#

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}}

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