Integrate the Dropmark API with the Python API

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

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Popular Ways to Connect Dropmark with Python#

Run Python Code with Python API on New Activity from Dropmark API

Dropmark + Python

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Run Python Code with Python API on New Item in Collection from Dropmark API

Dropmark + Python

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Popular Dropmark and Python Triggers#

New Activity from the Dropmark API

Emit new event when a new collection, item, comment, or reaction occurs. See the documentation

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New Item in Collection from the Dropmark API

Emit new event when a new item is added to a collection in Dropmark. See the documentation

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Popular Dropmark and Python Actions#

Get Activity with the Dropmark API

Retrieves a blended feed of newly created collections, items, comments, and reactions. 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 Items in Collection with the Dropmark API

Retrieves a list of items in a specific collection. See the documentation

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Overview of Dropmark#

The Dropmark API enables you to interact programmatically with the Dropmark service, allowing you to create, update, and manage collections and items within those collections. With Pipedream, you can leverage this API to automate workflows that connect Dropmark with other services, process content, and respond to events. For instance, you could automate the organization of resources, sync content across platforms, or even curate collaborative collections effortlessly.

Connect Dropmark#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dropmark: {
      type: "app",
      app: "dropmark",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dropmark.com/v1/users/me/`,
      headers: {
        "X-API-Key": `${this.dropmark.$auth.api_key}`,
      },
    })
  },
})

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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