with Adalo and Data Stores?
Add or update a single record in your Pipedream Data Store
Add or update multiple records to your Pipedream Data Store
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 Adalo API allows for the creation and manipulation of database records in your Adalo apps. Automating workflows with Pipedream can enhance your Adalo app's functionality, trigger custom actions based on app events, sync data across platforms, or notify users and team members about important updates. By leveraging Pipedream's ability to connect with hundreds of other apps, you can create sophisticated, multi-step workflows that respond dynamically to your Adalo app's data and events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adalo: {
type: "app",
app: "adalo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.adalo.com/v0/apps/${this.adalo.$auth.appId}/collections/${this.adalo.$auth.collection_id}`,
headers: {
Authorization: `Bearer ${this.adalo.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
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")
},
})