Use Noticeable to announce new features, your latest releases, and relevant news. Improve user engagement with an easy to use newsfeed and changelog.
Emit new events when a new email subscription created. See the docs
Emit new events when an email subscription is deleted. See the docs
Emit new events when a new publication created. See the docs
Emit new events when a new publication deleted. See the docs
Emit new events when a new publication is updated. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches email subscriptions for the given options. If no options given, retrieves all subscriptions, See the docs
The Noticeable API on Pipedream allows you to automate the management of your project's news and updates efficiently. By integrating Noticeable with Pipedream, you can trigger workflows based on new publications, update timelines, and synchronize content across various platforms. This can help keep your users or team informed about the latest changes, releases or announcements with minimal manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
noticeable: {
type: "app",
app: "noticeable",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.noticeable.io/graphql`,
headers: {
"Authorization": `Apikey ${this.noticeable.$auth.api_key}`,
},
params: {
//Replace the query below with your own
query: `query { organization { projects(first: 10) { pageInfo { hasNextPage } edges {
node { name posts(last: 10) { edges { node { title permalink } } } } } } } }`,
},
})
},
})
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}}