Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.
Emit new event each time a comment is added to a spreadsheet.
Emit new event each time a row or rows are added to the bottom of a spreadsheet.
Emit new event each time a row or cell is updated in a spreadsheet.
Emit new event each time a new worksheet is created in a spreadsheet.
Add a single row of data to Google Sheets. See the documentation
Deletes one or more vectors by ID, from a single namespace. See the documentation.
Add multiple rows of data to a Google Sheet. See the documentation
Looks up and returns vectors by ID, from a single namespace.. See the documentation.
Get all values or values from a range of cells using A1 notation. See the documentation
The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_sheets: {
type: "app",
app: "google_sheets",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_sheets.$auth.oauth_access_token}`,
},
})
},
})
The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinecone: {
type: "app",
app: "pinecone",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinecone.io/collections`,
headers: {
"Api-Key": `${this.pinecone.$auth.api_key}`,
},
})
},
})