Zoho CRM is an online Sales CRM software that manages your sales, marketing, and support in one CRM platform.
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
Converts a Lead into a Contact or an Account. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go 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.
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.
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}`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}