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.

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

The Pocket API provides an incredible opportunity to develop custom integrations and build powerful applications. With the Pocket API, you can access Pocket articles and data, allowing you to build a wide variety of applications and integrations that leverage the power of personal content curation and organization.

Whether you're a developer, designer, or media creator, the Pocket API makes it easy to create powerful applications and content experiences. Here are a few examples of what you can build using the Pocket API:

  • Innovative content feed readers
  • Personalizable content recommendation engines
  • Automated content curation tools
  • Data-driven content analytics platforms
  • Relevant content discovery widgets
  • Customizable reading lists
  • Smart content tagging tools
  • End-user content dashboards
  • Custom content scheduling tools

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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}