Bigpicture.io

BigPicture provides company APIs for data-driven B2B teams.

Integrate the Bigpicture.io API with the Python API

Setup the Bigpicture.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Bigpicture.io 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 Bigpicture.io

The Bigpicture.io API allows you to enrich your customer data by collecting, unifying, and streaming it to different platforms. With Pipedream, you can automate workflows that trigger on events, manipulate and route data, and integrate with numerous other services. Leveraging Bigpicture.io's API within Pipedream's serverless platform can help you create real-time, data-driven workflows for personalized marketing, analytics, customer support, and more.

Connect Bigpicture.io

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigpicture_io: {
      type: "app",
      app: "bigpicture_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://company.bigpicture.io/v1/companies/find`,
      headers: {
        "Authorization": `${this.bigpicture_io.$auth.api_key}`,
      },
      params: {
        domain: `pipedream.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

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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}}