Integrate the Chimp Rewriter API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Chimp Rewriter 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.

Try it

Overview of Chimp Rewriter#

The Chimp Rewriter API allows you to leverage advanced article spinning and rewriting capabilities within your Pipedream workflows. With this API, you can automatically generate unique versions of text for content creation, SEO strategies, or any application where textual uniqueness is valuable. By integrating the Chimp Rewriter API in Pipedream, you can create automated processes that include content analysis, translation, and rephrasing, augmenting your content management and distribution systems.

Connect Chimp Rewriter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chimp_rewriter: {
      type: "app",
      app: "chimp_rewriter",
    }
  },
  async run({steps, $}) {
    const data = {
      "email": `${this.chimp_rewriter.$auth.email}`,
      "apikey": `${this.chimp_rewriter.$auth.api_key}`,
      "aid": `${this.chimp_rewriter.$auth.app_id}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.chimprewriter.com/Statistics`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      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}}

Start for free — no credit card required

Watch a demo