Mailjet
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!
Integrate the Mailjet API with the Python API
Setup the Mailjet API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Mailjet and Python remarkably fast. Free for developers.
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Popular Mailjet and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python 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
Overview of Mailjet#
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.
Connect Mailjet#
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}`,
},
})
},
})
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