with Fireflies and Data Stores?
Locates a specific user meeting by its unique ID. See the documentation
Add or update a single record in your Pipedream Data Store
Retrieves the most recent meeting for a user. See the documentation
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 Fireflies API allows you to harness the power of AI to record, transcribe, and search across your voice conversations. With Pipedream, you can create automated workflows that leverage these capabilities to streamline communication, enhance collaboration, and ensure important insights from meetings are captured and actionable. By integrating with other apps, you can trigger actions, sync data, and build an array of powerful automations around your Fireflies data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireflies: {
type: "app",
app: "fireflies",
}
},
async run({steps, $}) {
const data = {
"query": `{ user { user_id email } }`,
}
return await axios($, {
method: "POST",
url: `https://api.fireflies.ai/graphql`,
headers: {
Authorization: `Bearer ${this.fireflies.$auth.api_key}`,
},
data,
})
},
})
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")
},
})