Pocket

Service for managing a reading list of articles and videos

Integrate the Pocket API with the Python API

Setup the Pocket API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Pocket and Python remarkably fast. Free for developers.

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Run Python Code with Python API on New Archived item from Pocket API
Pocket + Python
 
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Run Python Code with Python API on New Favorited item from Pocket API
Pocket + Python
 
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Run Python Code with Python API on New Item from Pocket API
Pocket + Python
 
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Run Python Code with Python API on New Tagged item from Pocket API
Pocket + Python
 
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New Archived item from the Pocket API

Emit new event for each archived item.

 
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New Favorited item from the Pocket API

Emit new event for each favorited item.

 
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New Item from the Pocket API

Emit new event for each added item.

 
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New Tagged item from the Pocket API

Emit new event for each tagged item.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Save To Later with the Pocket API

Save articles, videos, images and URLs to your Pocket list. See docs here

 
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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

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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,
    })
  },
})

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

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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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo