Integrate the People Data Labs API with the Python API

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

Popular People Data Labs and Python Actions#

Enrich a company with the People Data Labs API

The Company Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique company. See the 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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Enrich a person with the People Data Labs API

The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. See the docs here

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Search People with the People Data Labs API

Find specific segments of people that you need to power your projects and products. See the docs here

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Overview of People Data Labs#

The People Data Labs API provides access to a rich database of profiles, offering granular data on individuals such as employment history, education, skills, and more. Leveraging Pipedream's capabilities, you can automate personalized outreach, enrich contact lists, validate professional information, and sync data across platforms in real-time. These automations can power recruitment, sales, and networking efforts by providing up-to-date and comprehensive data points.

Connect People Data Labs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    people_data_labs: {
      type: "app",
      app: "people_data_labs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.peopledatalabs.com/v5/person/enrich`,
      params: {
        api_key: `${this.people_data_labs.$auth.api_key}`,
        email: `sean@peopledatalabs.com`,
      },
    })
  },
})

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}}