Raindrop
Raindrop.io is the best place to keep all your favorite books, songs, articles or whatever else you come across while browsing.
Integrate the Raindrop API with the Python API
Setup the Raindrop API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Raindrop and Python remarkably fast. Free for developers.
Popular Raindrop and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve bookmark detailed information by given ID. See the docs here
Overview of Raindrop#
Raindrop.io is a versatile bookmarking service that lets users save, organize, and share web content. With its API, you can automate the management of bookmarks, collections, and tags, thus streamlining the way you handle internet resources. Automating these tasks with the Raindrop API on Pipedream opens the door to personalized content curation, enhanced collaboration, and efficient information retrieval workflows. Think syncing saved articles across platforms, generating reports on saved links, or even triggering actions based on new content.
Connect Raindrop#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
raindrop: {
type: "app",
app: "raindrop",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.raindrop.io/rest/v1/user`,
headers: {
Authorization: `Bearer ${this.raindrop.$auth.oauth_access_token}`,
},
})
},
})
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}}