Low-code platform
Emit new or updated records in a report. The Modified Time
field must be added as Grouping field in the Zoho Creator record properties for the Report chosen in the dropdown below. See the grouping help article and the docs for more information.
Emit new records in a report. The Added Time
field must be added as a Grouping field in the Zoho Creator record properties for the Report chosen in the dropdown below. See the grouping help article and the docs for more information.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Zoho Creator is a low-code platform that enables the building of custom applications tailored to business needs without extensive coding knowledge. Via its API, you can automate processes, manage data, and integrate with other services. Pipedream amplifies this capability by offering a serverless platform where events from various apps trigger workflows. You can use Zoho Creator’s API on Pipedream to create, read, update, and delete records, automate data flows, and link your custom apps with a myriad of other services for efficient, automated workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_creator: {
type: "app",
app: "zoho_creator",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://creator.${this.zoho_creator.$auth.base_api_uri}/api/v2/applications`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_creator.$auth.oauth_access_token}`,
},
})
},
})
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}}