Phrase

Leanest, Fastest, and Most Reliable Localization Platform

Integrate the Phrase API with the Python API

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

Run Python Code with Python API on New Job Completed (Instant) from Phrase API
Phrase + Python
 
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Run Python Code with Python API on New Job Created (Instant) from Phrase API
Phrase + Python
 
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Run Python Code with Python API on New Job Started (Instant) from Phrase API
Phrase + Python
 
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New Job Completed (Instant) from the Phrase API

Emit new event when each job is completed.

 
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New Job Created (Instant) from the Phrase API

Emit new event when each job is created.

 
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New Job Started (Instant) from the Phrase API

Emit new event when each job is started.

 
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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 Phrase

The Phrase API provides a suite of tools for CRM (Customer Relationship Management) to manage and nurture customer interactions and data throughout the customer lifecycle. Using Pipedream, developers can create automated workflows that tap into the power of the Phrase API to streamline communication, manage leads, and enhance customer relationships. With Pipedream's no-code platform, these workflows can trigger on events, process data, and connect to hundreds of other services for a wide array of use cases.

Connect Phrase

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

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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}}