What do you want to automate
with Zoho CRM and Python?
Prompt, edit and deploy AI agents that connect to Zoho CRM, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Ways to Connect Zoho CRM with Python#
Popular Zoho CRM and Python Triggers#
Emits an event each time a new contact is created in Zoho CRM
Emit new events each time a new module/record is created in Zoho CRM
Emits an event each time a new contact is created or updated in Zoho CRM
Popular Zoho CRM and Python Actions#
Converts a Lead into a Contact or an Account. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Downloads an attachment file from Zoho CRM, saves it in the temporary file system and exports the file path for use in a future step.
Overview of Zoho CRM#
The Zoho CRM API enables the manipulation and retrieval of data within Zoho CRM, a platform for managing your sales, marketing, support, and inventory in a single system. Leveraging this on Pipedream, you can automate tasks like syncing contacts, updating lead statuses, or creating custom CRM operations that trigger actions in other apps. Pipedream's serverless platform allows for real-time data processing, transforming, and orchestrating workflows that respond to events in Zoho CRM with minimal latency.
Connect Zoho CRM#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_crm: {
type: "app",
app: "zoho_crm",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.zoho_crm.$auth.api_domain}/crm/v2/users?type=CurrentUser`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_crm.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies