Integrate the Reviews.io API with the Python API

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

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Popular Reviews.io 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 Reviews.io#

The Reviews.io API allows for automated management and retrieval of review data from the Reviews.io platform. Within Pipedream, you can leverage this API to build serverless workflows that trigger on specific events, integrate with other services, manipulate and analyze review data, and automate responses or notifications. By tapping into Reviews.io via Pipedream, businesses can enhance their customer feedback loop, monitor their reputation, and engage with their reviewers efficiently.

Connect Reviews.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    reviews_io: {
      type: "app",
      app: "reviews_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.reviews.io/product/invitations`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      params: {
        store: `${this.reviews_io.$auth.store_id}`,
        apikey: `${this.reviews_io.$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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