Census Bureau

Measuring America's People, Places, and Economy.

Integrate the Census Bureau API with the Python API

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

The Census Bureau API provides access to a wealth of demographic and economic data collected by the U.S. Census Bureau. In Pipedream, this powerful API can be harnessed to create custom workflows that automate data retrieval, process statistics, and integrate with other services for enhanced analysis and reporting. By leveraging Pipedream's serverless platform, you can set up scheduled tasks or event-driven triggers to interact with the Census Bureau's data, making it easier to incorporate this information into your applications, research, or business intelligence tools.

Connect Census Bureau

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    census_bureau: {
      type: "app",
      app: "census_bureau",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.census.gov/data/2019/pep/charagegroups`,
      params: {
        get: `NAME,POP`,
        for: `state:*`,
        key: `${this.census_bureau.$auth.api_key}`,
      },
    })
  },
})

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

1
2
3
4
5
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}}