What do you want to automate
with Data Stores and AITable.ai?
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Popular Data Stores and AITable.ai Actions#
Add or update a single record in your Pipedream Data Store
Create a datasheet in the specified space. See the documentation
Add or update multiple records to your Pipedream Data Store
Create a new field in the specified datasheet. 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.
Overview of Data Stores#
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.
Connect Data Stores#
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")
},
})Connect AITable.ai#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aitable_ai: {
type: "app",
app: "aitable_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://aitable.ai/fusion/v1/datasheets/${this.aitable_ai.$auth.datasheet_id}/records`,
headers: {
Authorization: `Bearer ${this.aitable_ai.$auth.api_token}`,
},
})
},
})
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