Integrate the Dropcontact API with the Python API

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

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Popular Dropcontact and Python Actions#

Enrich Contact with the Dropcontact API

Enrich a list of contacts in Dropcontact. 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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Get Enrichment Request with the Dropcontact API

Retrieve the enriched contacts of a request in Dropcontact. See the documentation

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Overview of Dropcontact#

The Dropcontact API on Pipedream allows you to enrich and clean contact data dynamically within a serverless workflow. It can find, verify, and correct email addresses, providing additional information like company details and social network profiles. Integrating Dropcontact into Pipedream workflows enables automated data enhancement tasks that can trigger actions in other apps for marketing, sales, or CRM purposes.

Connect Dropcontact#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dropcontact: {
      type: "app",
      app: "dropcontact",
    }
  },
  async run({steps, $}) {
    const data = {
      "data": [
        {"email": "sample_email1@domain.com"},
        {"first_name": "SampleFirstName", "last_name": "SampleLastName", "website": "samplewebsite.com"},
        {"first_name": "SampleFirstName2", "last_name": "SampleLastName2", "email": "sample_email2@domain.com"}
      ],
    }
    return await axios($, {
      method: "post",
      url: `https://api.dropcontact.io/batch`,
      headers: {
        "Content-Type": `application/json`,
        "X-Access-Token": `${this.dropcontact.$auth.api_key}`,
      },
      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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