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with Python and Pocket?
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Popular Python and Pocket Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Save articles, videos, images and URLs to your Pocket list. See docs here
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}}Overview of Pocket#
Pocket's API on Pipedream allows for the automation of content curation workflows. Users can add, retrieve, and organize articles, videos, or other content they want to view later. By leveraging the API, you can create systems for tagging and sorting saved items, integrating them with other services for further processing or sharing. This could be useful for content creators, researchers, or anyone needing to manage a large influx of information efficiently.
Connect Pocket#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pocket: {
type: "app",
app: "pocket",
}
},
async run({steps, $}) {
const pocketReq = {
method: "post",
url: "/v3/get",
data: {
count: 10,
access_token: this.pocket.$auth.oauth_access_token,
},
}
// proxy pocket request
return await axios($, {
url: "https://enkogw2a5epb176.m.pipedream.net",
params: {
http_respond: 1,
},
data: pocketReq,
})
},
})
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