with HelpCrunch and Data Stores?
Emit new event when the status of a chat is updated. See the documentation
Emit new event when a new customer is created. See the documentation
Add or update a single record in your Pipedream Data Store
Creates a new customer record within the Helpcrunch platform. See the documentation
Add or update multiple records to your Pipedream Data Store
Search for an existing customer within Helpcrunch platform, if no match is found it creates a new customer record. See the documentation
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
The HelpCrunch API provides a platform for customer communication, enabling automation of messaging, data synchronization, and customer support activities. It allows you to create and update users, send messages, and manage conversations directly through API calls. Integrating HelpCrunch with Pipedream lets you connect these capabilities to hundreds of other apps, streamlining workflows that can respond dynamically to customer interactions, sync data across platforms, or trigger communications based on specific events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
helpcrunch: {
type: "app",
app: "helpcrunch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.helpcrunch.com/v1/organization`,
headers: {
Authorization: `Bearer ${this.helpcrunch.$auth.api_key}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})