Create spreadsheets your teams can easily collaborate on for free. Powered with an automated data processor, an AI-assisted data analyst, and 1000+ integration possibilities, Zoho Sheet makes data handling easier and more effective.
Emit new event whenever a row is added or modified.
Emit new event each time a new row is created in a Zoho Sheet worksheet.
Emit new event whenever a new workbook is created.
Creates a new row in the specified worksheet. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches for a row based on provided criteria and deletes it. See the documentation
Finds a specific row by its index and updates its content. See the documentation
The Zoho Sheet API allows you to manipulate spreadsheet data programmatically. Imagine harnessing this functionality within Pipedream's ecosystem, where you can automate data flows, sync information across platforms, and generate reports with ease. With Pipedream, you can trigger workflows using events from numerous apps, fetch or push data to Zoho Sheet, analyze or transform this data, and even automate notifications based on the results.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_sheet: {
type: "app",
app: "zoho_sheet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://sheet.${this.zoho_sheet.$auth.base_api_uri}/api/v2/workbooks`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_sheet.$auth.oauth_access_token}`,
},
params: {
method: `workbook.list`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}