Integrate the 15Five API with the Python API

The 15Five API enables you to build custom integrations and applications on top
of the 15Five platform. With the API, you can access data stored in 15Five,
including:

Users
Companies
Goals
Check-ins
Feedback
Recognition

You can use the API to build applications that help 15Five users manage their
work and achieve their goals. For example, you could build a custom integration
that links 15Five with another tool that your team uses, such as a project
management tool or a CRM. Or, you could build a custom application that helps
users track their progress on their goals, or provides them with recognition
for a job well done.

Whatever you build, the 15Five API gives you the power to customize the 15Five
experience for your users in a way that best meets their needs.

Connect 15Five#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    f15five: {
      type: "app",
      app: "f15five",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://my.15five.com/api/public/user/`,
      headers: {
        "Authorization": `${this.f15five.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}