Integrate the Instantly API with the Python API

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

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Popular Ways to Connect Instantly with Python#

Run Python Code with Python API on New Event in Instantly (Instant) from Instantly API

Instantly + Python

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Popular Instantly and Python Triggers#

New Event in Instantly (Instant) from the Instantly API

Emit new event when an activity occurs in your Instantly workspace.

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Popular Instantly and Python Actions#

Add Lead to Campaign with the Instantly API

Adds a lead to a campaign for tracking or further actions. 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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Add Tags to Campaign with the Instantly API

Adds tags to a specific campaign. See the documentation

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Update Lead Status with the Instantly API

Updates the status of a lead in a campaign. See the documentation

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Connect Instantly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    instantly: {
      type: "app",
      app: "instantly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.instantly.ai/api/v1/authenticate`,
      params: {
        api_key: `${this.instantly.$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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