Integrate the Plaid API with the Python API

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

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Popular Plaid and Python Actions#

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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Overview of Plaid#

The Plaid API offers a multitude of financial data operations, enabling developers to manage and interact with user bank accounts, transactions, identity info, and more, all within a secure and compliant ecosystem. Integrating Plaid with Pipedream can unlock powerful automations, like syncing transaction data to accounting software, verifying user identities for KYC compliance, and automating financial alerts or reporting.

Connect Plaid#

module.exports = defineComponent({
  props: {
    plaid: {
      type: "app",
      app: "plaid",
    }
  },
  async run({steps, $}) {
    const { Configuration, PlaidApi } = require('plaid');
    
    const client = new PlaidApi(
      new Configuration({
        basePath: this.plaid.$auth.environment,
        baseOptions: {
          headers: {
            'PLAID-CLIENT-ID': this.plaid.$auth.client_id,
            'PLAID-SECRET': this.plaid.$auth.client_secret,
          },
        },
      })
    );
    
    // Test request
    const request = {
      count: 10,
      offset: 0,
      country_codes: ['US'],
    };
    
    const response = await client.institutionsGet(request);
    return response.data.institutions;
  },
})

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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