Integrate the Endorsal API with the Python API

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

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Popular Ways to Connect Endorsal with Python#

Run Python Code with Python API on New Approved Testimonial from Endorsal API

Endorsal + Python

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Popular Endorsal and Python Triggers#

New Approved Testimonial from the Endorsal API

Emit new event when a new testimonial is approved.

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Popular Endorsal and Python Actions#

Create Contact with the Endorsal API

Creates a new contact for requesting testimonials. See the documentation

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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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Create Testimonial with the Endorsal API

Creates a new testimonial. See the documentation

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List Testimonials with the Endorsal API

Retrieves a list of testimonials received. See the documentation

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Overview of Endorsal#

The Endorsal API provides a way to programmatically manage and showcase customer testimonials. With Pipedream, you can automate the collection and display of endorsements, sync these testimonials with other marketing tools, and trigger actions based on new reviews. This seamless integration enables you to leverage customer feedback effectively to boost your brand's credibility and visibility.

Connect Endorsal#

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

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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