Integrate the Gleap API with the Python API

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

Popular Ways to Connect Gleap with Python#

Run Python Code with Python API on New Feedback Created from Gleap API

Gleap + Python

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Run Python Code with Python API on New Feedback Updated from Gleap API

Gleap + Python

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Popular Gleap and Python Triggers#

New Feedback Created from the Gleap API

Emit new event when a feedback is created.

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New Feedback Updated from the Gleap API

Emit new event when an existing feedback is updated.

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Popular Gleap and Python Actions#

Create Track Event with the Gleap API

Creates a new track event in Gleap. 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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Overview of Gleap#

The Gleap API allows for the seamless integration of customer feedback into your product development cycle. With Gleap, you can collect bug reports, feature requests, and general feedback, all enriched with screenshots, replay videos, and logs to give you comprehensive insights into user experiences. In Pipedream, you can harness this API to automate workflows, connect feedback to your issue trackers or communication platforms, and analyze data to inform product improvements.

Connect Gleap#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gleap: {
      type: "app",
      app: "gleap",
    }
  },
  async run({steps, $}) {
    const data = {
      "userId": `1234`,
      "name": `John Doe`,
      "email": `john@doe.com`,
      "value": `1927`,
      "phone": `+1 (129) 18283 8292`,
      "createdAt": `2022-09-28T10:11:18.156Z`,
    }
    return await axios($, {
      url: `https://api.gleap.io/projects `,
      headers: {
        Authorization: `Bearer ${this.gleap.$auth.oauth_access_token}`,
        "Api-Token": `${this.gleap.$auth.secret_api_token}`,
        "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}}