Integrate the Easyly API with the Python API

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

Popular Ways to Connect Easyly with Python#

Run Python Code with Python API on New Event Triggered (Instant) from Easyly API

Easyly + Python

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Popular Easyly and Python Triggers#

New Event Triggered (Instant) from the Easyly API

Emit new event when an action is triggered in network leads. After creating the source, you need to register a Webhook on Easyly using the source's HTTP Endpoint. See the documentation

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Popular Easyly 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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Post New Lead with the Easyly API

Allows a user to post a new lead to their Easyly account. See the documentation

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Overview of Easyly#

The Easyly API offers a suite of features aimed at simplifying complex tasks such as address validation, geocoding, and route optimization. With Pipedream's serverless platform, you can leverage this API to automate workflows that require address verification, coordinate mapping, or efficient route planning. The integration of Easyly with Pipedream allows you to set up triggers and actions without setting up a server, making it straightforward to incorporate real-time data processing and event-driven architectures into your applications.

Connect Easyly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easyly: {
      type: "app",
      app: "easyly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.easyly.com/v1/leads/{{your_leads}}`, // Add in a valid lead ID here.
      headers: {
        Authorization: `Bearer ${this.easyly.$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}}