Integrate the Papyrs API with the Python API

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

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Popular Papyrs and Python Actions#

Create Heading with the Papyrs API

Create Heading. See the docs here

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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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Create Paragraph with the Papyrs API

Create a new Paragraph in a page. See the docs here

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Update Heading with the Papyrs API

Update Heading. See the docs here

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Update Paragraph with the Papyrs API

Update Paragraph. See the docs here

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Overview of Papyrs#

The Papyrs API facilitates the creation and manipulation of rich text documents in your Papyrs intranet. With it, you can automate the handling of text-documents, forms, and pages within your organization's Papyrs account. When combined with Pipedream's capacity to connect to various APIs, the Papyrs API can be a powerful tool for document-driven workflow automation. You can trigger actions in Papyrs based on events from other apps, process Papyrs data for insights, or synchronize Papyrs content with external systems, databases, or file storage solutions.

Connect Papyrs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    papyrs: {
      type: "app",
      app: "papyrs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.papyrs.$auth.site_name}.papyrs.com/api/v1/people/all/`,
      headers: {
        "X-Auth-Token": `${this.papyrs.$auth.api_token}`,
      },
    })
  },
})

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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