with Customer Fields and Helper Functions?
Trigger when a new customer is added to the database. See the documentation
Trigger when a profile of a customer has been updated or changed. See the documentation
Create a new customer with detailed attributes using the provided data. See the documentation
Accepts a base64-encoded string, returns a decoded UTF-8 string
Get the difference, intersection, union, or symetric difference of two arrays/sets.
Convert an amount between currencies. See the documentation
Update an existing customer's information with new provided data. See the documentation
The Customer Fields API provides a suite of tools for managing customer data in e-commerce platforms, including custom form fields and data automation. With it, you can efficiently tailor customer interactions, streamline data collection, and enhance the shopping experience. Integrating Customer Fields with Pipedream allows for seamless automation of tasks like syncing data to other platforms, triggering personalized communications, or managing customer segments based on custom field data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
customer_fields: {
type: "app",
app: "customer_fields",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.customerfields.com/api/v2/shop.json`,
headers: {
Authorization: `Bearer ${this.customer_fields.$auth.oauth_access_token}`,
"accept": `application/json`,
"content-type": `application/json`,
},
})
},
})
The Helper Functions app on Pipedream is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.