Plaid
Connect to users' bank accounts.
Integrate the Plaid API with the Go API
Setup the Plaid API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Plaid and Go remarkably fast. Free for developers.
Popular Plaid and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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 Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}