Integrate the Translate.com API with the Python API

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

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Popular Translate.com and Python Actions#

Translate Text with the Translate.com API

Translante a text using machine. [See the documentation](https://translation-api.translate.com/api/documentation?_gl=1*1qes1da*_ga*MTMwNzkzMTg3OC4xNjk1NDE3MDIy*_ga_T51KL347BB*MTY5NTQxNzAyMS4xLjAuMTY5NTQxNzAyMS42MC4wLjA.#/Machine Translation)

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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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Overview of Translate.com#

The Translate.com API on Pipedream enables you to automate translation tasks, making it simpler to handle multilingual content and communication. With this API, you can dynamically translate text between languages, detect the language of input text, or even integrate machine translation into your services or workflows. Pipedream’s serverless platform connects the Translate.com API with hundreds of other apps to streamline your processes, such as automatically translating customer support tickets, social media posts, or updating multilingual content in real-time.

Connect Translate.com#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    translate_com: {
      type: "app",
      app: "translate_com",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://translation-api.translate.com/translate/v1/balance`,
      headers: {
        "x-api-key": `${this.translate_com.$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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