Zoho Commerce
Zoho Commerce contains all the tools you need to build a website, accept orders, track inventory, process payments, manage shipping, market your brand, and analyze your data.
Integrate the Zoho Commerce API with the Python API
Setup the Zoho Commerce API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zoho Commerce and Python remarkably fast. Free for developers.
Popular Zoho Commerce and Python Actions#
Create a new product with variants. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Zoho Commerce#
The Zoho Commerce API enables you to interact programmatically with Zoho's e-commerce platform, allowing for the automation of various online store operations. From managing products, orders, and customer data to generating reports, this API opens up possibilities for syncing your e-commerce data with other business tools, setting up automated marketing campaigns based on customer behavior, or even creating custom analytics dashboards to monitor your store's performance.
Connect Zoho Commerce#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_commerce: {
type: "app",
app: "zoho_commerce",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://commerce.${this.zoho_commerce.$auth.base_api_url}/zs-site/api/v1/index/sites`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_commerce.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}