Integrate the Uploadcare API with the Python API

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

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Popular Ways to Connect Uploadcare with Python#

Run Python Code with Python API on New Uploaded File (Instant) from Uploadcare API

Uploadcare + Python

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Popular Uploadcare and Python Triggers#

New Uploaded File (Instant) from the Uploadcare API

Emit new event on each created task.

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Popular Uploadcare and Python Actions#

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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Upload File with the Uploadcare API

Upload a file. See docs here

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Overview of Uploadcare#

Uploadcare is a file uploading, processing, and delivery platform that provides developers with tools to handle the entire file lifecycle with ease. With its robust API, you can upload files from any device, transform images and documents on-the-fly, and manage digital content with a comprehensive set of features. Integrating Uploadcare with Pipedream allows you to craft workflows that automate file operations and connect them seamlessly with other services, such as CRMs, marketing platforms, and data analysis tools.

Connect Uploadcare#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uploadcare: {
      type: "app",
      app: "uploadcare",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.uploadcare.com/project/`,
      headers: {
        "Content-Type": `application/json`,
        "Accept": `application/vnd.uploadcare-v0.5+json`,
        "Authorization": `Uploadcare.Simple ${this.uploadcare.$auth.api_key}:${this.uploadcare.$auth.api_secret}`,
      },
    })
  },
})

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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