Implisense API

German company data combined in one API.

Integrate the Implisense API API with the Python API

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

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.

 
Try it

Overview of Implisense API

The Implisense API provides access to detailed company data from millions of companies, allowing you to enrich your CRM with firmographics, create targeted B2B marketing campaigns, and perform market analysis. The API offers methods to retrieve information like company profiles, financial data, and business relations. Integrating the Implisense API into Pipedream workflows lets you automate the process of data capture and action-taking based on company insights.

Connect Implisense API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    implisense_api: {
      type: "app",
      app: "implisense_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.implisense.com/suggest/kle`,
      auth: {
        username: `${this.implisense_api.$auth.email}`,
        password: `${this.implisense_api.$auth.password}`,
      },
    })
  },
})

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

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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}}