DeepL

Integrate the world's best machine translator into your own products and services.

Integrate the DeepL API with the Python API

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

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.

 
Try it

Overview of DeepL

The DeepL API provides a powerful machine translation service, allowing you to translate text between languages with a high degree of accuracy and nuance. Leveraging the DeepL API on Pipedream, you can automate multilingual content creation, streamline communication in different languages, and enrich apps with instant translation features. The integration possibilities are vast, enabling you to weave translation capabilities into various workflows, data processing, and content management systems.

Connect DeepL

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deepl: {
      type: "app",
      app: "deepl",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-free.deepl.com/v2/usage`,
      headers: {
        "Authorization": `DeepL-Auth-Key ${this.deepl.$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

1
2
3
4
5
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}}