Integrate the BigDataCorp API with the Python API

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

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Popular BigDataCorp and Python Actions#

Get Address Data with the BigDataCorp API

Returns the available data for a Zipcode number according to the selected dataset. 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 Company Data with the BigDataCorp API

Returns the available data for a CNPJ number according to the selected dataset. See the documentation

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Get Person Data with the BigDataCorp API

Returns the available data for a CPF number according to the selected dataset. See the documentation

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Connect BigDataCorp#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigdatacorp: {
      type: "app",
      app: "bigdatacorp",
    }
  },
  async run({steps, $}) {
    const data = {
      "q": `doc{007.408.869-67}`,
      "Datasets": `registration_data`,
    }
    return await axios($, {
      method: "post",
      url: `https://plataforma.bigdatacorp.com.br/pessoas`,
      headers: {
        "Accept": `application/json`,
        "AccessToken": `${this.bigdatacorp.$auth.access_token}`,
        "TokenId": `${this.bigdatacorp.$auth.token_id}`,
      },
      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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