Integrate the Lusha API with the Python API

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

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Popular Lusha and Python Actions#

Find Company with the Lusha API

Search for a company. See docs here

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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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Find Contact with the Lusha API

Search for a contact. See docs here

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Overview of Lusha#

The Lusha API provides programmatic access to Lusha's rich database, allowing you to retrieve business profiles and contact information. By integrating Lusha with Pipedream, you can automate the enrichment of lead data, sync contact information with your CRM, and enhance your sales or recruitment processes. The API enables you to pull details such as phone numbers, email addresses, and company data, turning them into actionable insights within your business workflows.

Connect Lusha#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lusha: {
      type: "app",
      app: "lusha",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lusha.com/person`,
      headers: {
        "api_key": `${this.lusha.$auth.api_key}`,
      },
      params: {
        firstName: `Rob`,
        lastName: `Taylor`,
        company: `intercom`,
      },
    })
  },
})

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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