Integrate the Phantombuster API with the Python API

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

Popular Ways to Connect Phantombuster with Python#

Run Python Code with Python API on New Output Created Event from Phantombuster API

Phantombuster + Python

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Popular Phantombuster and Python Triggers#

New Output Created Event from the Phantombuster API

Emit new events when new outputs are created. See the docs here

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Popular Phantombuster and Python Actions#

Launch Phantom with the Phantombuster API

Adds an agent to the launch queue, See the docs

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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 Phantombuster#

Phantombuster is a tool that lets you automate interactions with web platforms to extract data, manage social media campaigns, and automate web actions. Using its API on Pipedream, you can seamlessly integrate these automation capabilities into complex workflows. Imagine orchestrating a symphony where Phantombuster plays the strings—pulling data from LinkedIn, sending tailored tweets, or automating lead generation—while Pipedream conducts, integrating these actions with other apps and services for a harmonious data-driven performance.

Connect Phantombuster#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    phantombuster: {
      type: "app",
      app: "phantombuster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.phantombuster.com/api/v1/user`,
      headers: {
        "X-Phantombuster-Key-1": `${this.phantombuster.$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}}