Rytr

Rytr is an AI writing assistant that generates high-quality content, in just a few seconds, at a fraction of the cost!

Integrate the Rytr API with the Python API

Setup the Rytr API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Rytr 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 Rytr

The Rytr API lets you automate content creation, leveraging AI to generate text for various purposes like email drafts, blog ideas, social media posts, and more. On Pipedream, you can build workflows that capitalize on Rytr's capabilities, integrating with other apps to create dynamic, content-focused automations. Whether you're populating a CMS with blog posts, drafting emails based on CRM updates, or generating social media content from trending topics, Pipedream makes it easy to harness Rytr's AI writing assistant within your custom workflows.

Connect Rytr

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rytr: {
      type: "app",
      app: "rytr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rytr.me/v1/languages`,
      headers: {
        "Content-Type": `application/json`,
        "Authentication": `Bearer ${this.rytr.$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

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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}}