eSputnik
Communicate with customers through the most convenient channel for them: email, SMS, Viber, web and mobile push notifications, or combine several channels at once.
Integrate the eSputnik API with the Python API
Setup the eSputnik API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate eSputnik and Python remarkably fast. Free for developers.
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Popular eSputnik and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a new unverified contact in eSputnik. For use with double opt-in implementation. User will need to verify the email to confirm their subscription. See the docs here
Overview of eSputnik#
The eSputnik API is a powerful tool for managing and automating your email marketing campaigns and other messaging services. Through the API, you can create targeted email sequences, manage contact lists, track email metrics, and dynamically segment your audience based on their interactions. By leveraging Pipedream's capabilities, you can connect eSputnik with hundreds of other apps to synchronize your marketing efforts, automate responses based on customer behavior, and analyze the effectiveness of your campaigns with advanced analytics.
Connect eSputnik#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
esputnik: {
type: "app",
app: "esputnik",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://esputnik.com/api/v1/contacts`,
auth: {
username: `x`,
password: `${this.esputnik.$auth.api_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