Integrate the FullContact API with the Python API

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

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Popular FullContact and Python Actions#

Enrich Person with the FullContact API

Enrich a person. See documentation 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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Overview of FullContact#

FullContact's API enriches contact information, letting you turn partial identities like an email address into a full profile including social presence, demographic data, and more. This is invaluable for enhancing customer understanding and personalizing interactions. By leveraging Pipedream's powerful integrations, you can automate workflows that consume FullContact's enriched data, facilitating tasks like lead enrichment, audience segmentation, and personalized marketing at scale.

Connect FullContact#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    full_contact: {
      type: "app",
      app: "full_contact",
    }
  },
  async run({steps, $}) {
    const data = {
      "email": `jane.smith@gmail.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.fullcontact.com/v3/person.enrich`,
      headers: {
        Authorization: `Bearer ${this.full_contact.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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