The big data spreadsheet that combines database power with cloud scale.
Creates an export for a gigasheet dataset. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
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`,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})