What do you want to automate
with GoCardless Bank Account Data (formerly Nordigen) and Python?
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Popular Ways to Connect GoCardless Bank Account Data (formerly Nordigen) with Python#
Popular GoCardless Bank Account Data (formerly Nordigen) and Python Triggers#
Emit new event when a transaction occurs
Popular GoCardless Bank Account Data (formerly Nordigen) and Python Actions#
Create a requisition link and id to be used in other Nordigen actions. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delete requisition and its end user agreement. See the docs
Get the balances of a Nordigen account. See the docs
Get the details of a Nordigen account. See the docs
Overview of GoCardless Bank Account Data (formerly Nordigen)#
The GoCardless Bank Account Data API furnishes you with the ability to access enriched banking data, enabling the creation of financial insights and streamlining customer verification processes. By integrating this API with Pipedream, you can automate various tasks involving bank account transactions and customer data analysis. For instance, you might set up workflows to monitor transactions for accounting purposes, verify customer account details for KYC compliance, or aggregate financial data to provide personalized financial advice.
Connect GoCardless Bank Account Data (formerly Nordigen)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nordigen: {
type: "app",
app: "nordigen",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bankaccountdata.gocardless.com/api/v2/institutions/`,
headers: {
Authorization: `Bearer ${this.nordigen.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies