Integrate the Writesonic API with the Python API

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

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Popular Writesonic 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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Overview of Writesonic#

The Writesonic API taps into the prowess of AI to craft compelling written content, from blog posts to marketing copy. By integrating this API with Pipedream, you can automate content creation, enrich your applications with dynamic text, and streamline various writing tasks. It’s perfect for when you need high-quality writing done swiftly and at scale.

Connect Writesonic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    writesonic: {
      type: "app",
      app: "writesonic",
    }
  },
  async run({steps, $}) {
    const data = {
      "topic": `{your_topic}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.writesonic.com/v2/business/content/blog-ideas`,
      headers: {
        "X-API-KEY": `${this.writesonic.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      params: {
        engine: `economy`,
        language: `en`,
        num_copies: `1`,
      },
      data,
    })
  },
})

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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