Integrate the Reviewflowz API with the Python API

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

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Popular Ways to Connect Reviewflowz with Python#

Run Python Code with Python API on New Review from Reviewflowz API

Reviewflowz + Python

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Popular Reviewflowz and Python Triggers#

New Review from the Reviewflowz API

Emit new event when a review is published on any of your listings.

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Popular Reviewflowz 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 Reviewflowz#

Reviewflowz API lets you streamline your product review management process. It helps you capture, monitor, and act on customer feedback from multiple platforms in one place. On Pipedream, you can use this API to automate the gathering and organizing of reviews, notify teams about new feedback, and integrate review data into other tools like CRMs or analytics services, turning reviews into actionable insights.

Connect Reviewflowz#

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