The big data spreadsheet that combines database power with cloud scale.
Emit new event when a new message is posted in a channel
Emit new event when a new message is received in a chat
Emit new event when a new team is joined by the authenticated user
Creates an export for a gigasheet dataset. See the documentation
Create a new channel in Microsoft Teams. See the docs here
Uploads data from a URL to Gigasheet. See the documentation
The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gigasheet: {
type: "app",
app: "gigasheet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.gigasheet.com/user/whoami`,
headers: {
"X-GIGASHEET-TOKEN": `${this.gigasheet.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_teams: {
type: "app",
app: "microsoft_teams",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_teams.$auth.oauth_access_token}`,
},
})
},
})