Integrate the Leadzen.ai API with the Python API

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

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Popular Leadzen.ai and Python Actions#

Simple Search with the Leadzen.ai API

Fetches detailed LinkedIn profile information based on the provided URL. 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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Unlock Email Details with the Leadzen.ai API

Fetches the work email of a LinkedIn profile based on the specified URL. See the documentation

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Overview of Leadzen.ai#

Leadzen.ai is an API designed to enhance lead management and marketing automation. It allows users to dynamically score, segment, and nurture leads based on various criteria and interactions. By integrating Leadzen.ai with Pipedream, users can automate complex workflows, sync data across multiple platforms, and trigger actions based on lead behavior in real-time. This integration enables marketers to refine their engagement strategies, personalize communications more effectively, and drive sales conversions more efficiently.

Connect Leadzen.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    leadzen_ai: {
      type: "app",
      app: "leadzen_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.leadzen.ai/api/credits`,
      headers: {
        Authorization: `Bearer ${this.leadzen_ai.$auth.oauth_access_token}`,
        "accept": `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}}

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