Integrate the Cloud Convert API with the Python API

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

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Popular Ways to Connect Cloud Convert with Python#

Run Python Code with Python API on Job Failed (Instant) from Cloud Convert API

Cloud Convert + Python

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Run Python Code with Python API on Job Finished (Instant) from Cloud Convert API

Cloud Convert + Python

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Run Python Code with Python API on New Job (Instant) from Cloud Convert API

Cloud Convert + Python

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Popular Cloud Convert and Python Triggers#

Job Failed (Instant) from the Cloud Convert API

Emit new event when a CloudConvert job has failed. See the documentation

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Job Finished (Instant) from the Cloud Convert API

Emit new event when a CloudConvert job has been completed. See the documentation

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New Job (Instant) from the Cloud Convert API

Emit new event when a new job has been created. See the documentation

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Popular Cloud Convert and Python Actions#

Convert File with the Cloud Convert API

Converts an input file to a specified output format using CloudConvert. 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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Create Archive with the Cloud Convert API

Creates an archive in a specified format. See the documentation

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Create Import URL Task with the Cloud Convert API

Creates a task to import a file from a URL. See the documentation

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Create Merge Files To PDF Job with the Cloud Convert API

Combines multiple input files into a single PDF file and create an export URL with a job. See the documentation

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Overview of Cloud Convert#

The Cloud Convert API offers a robust solution for file conversion, supporting a vast array of file formats. With Pipedream, you can harness this versatility to create automated workflows that trigger file conversions, process the resulting files, and integrate with other services. By combining Cloud Convert with Pipedream's connectivity to hundreds of apps, you can craft custom automation that saves time and removes the friction from multi-format file management tasks.

Connect Cloud Convert#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloud_convert: {
      type: "app",
      app: "cloud_convert",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudconvert.com/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.cloud_convert.$auth.oauth_access_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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