Mailjet is an easy-to-use all-in-one e-mail platform. With our transactional and marketing e-mail solution, it’s never been easier to get your emails into the inbox!
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Add a new unique contact to your global contact list and select its exclusion status. See the docs here
Retrieve details for all contact lists - name, subscriber count, creation timestamp, deletion status. See the docs here
Send a message via Send API v3. Send API v3 is built mainly for speed, allowing you to send up to 100 messages in a single API call. See the docs here
Update the user-given name and exclusion status of a specific contact. See the docs here
Mailjet's API offers the power to craft, send, and track emails with finesse. You can wield it to automate email sequences, synchronize email lists with your databases, and send transactional emails with personalized content. It's a playground for creating tailored email campaigns and dissecting campaign performance with rich analytics.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mailjet: {
type: "app",
app: "mailjet",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.mailjet.com/v3/REST/contactslist`,
auth: {
username: `{{custom_fields.public_key}}`,
password: `${this.mailjet.$auth.secret_key}`,
},
})
},
})
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)
}