Let your customers come to you through effective content marketing across SEO, email, and social. YC W20
Emit new event when a new post gets published on Letterdrop. After creating the source, access Letterdrop UI, go to Settings > Integrations > API and Webhooks > Webhook Endpoints > Setup endpoints
and add your source endpoint URL to the respective webhook endpoint. See the documentation
Emit new event when a new subscriber gets added on Letterdrop. After creating the source, access Letterdrop UI, go to Settings > Integrations > API and Webhooks > Webhook Endpoints > Setup endpoints
and add your source endpoint URL to the respective webhook endpoint. See the documentation
Adds a new subscriber to your Letterdrop publication. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Drafts a new blog post in your workspace with the required title and content, and optional images and tags. See the documentation
Removes a subscriber from your publication if the email matches an existing one. See the documentation
The Letterdrop API enables automated content marketing workflows, streamlining the process of creating, delivering, and tracking email campaigns and newsletters. By harnessing this API within Pipedream, users can craft data-driven, personalized content distribution strategies, integrate with CRMs for targeted outreach, and monitor engagement metrics to refine future campaigns. In essence, it's a tool that can help you engage your audience efficiently by automating repetitive content operations and aggregating performance data for actionable insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
letterdrop: {
type: "app",
app: "letterdrop",
}
},
async run({steps, $}) {
const data = {
"query": `Pipedream`,
"offset": `0`,
"limit": `5`,
}
return await axios($, {
method: "post",
url: `https://api.letterdrop.com/api/v1/posts`,
headers: {
"api-key": `${this.letterdrop.$auth.api_key}`,
},
data,
})
},
})
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:
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}}