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with Asters and Python?

Prompt, edit and deploy AI agents that connect to Asters, Python and 2,500+ other apps in seconds.

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Run Python Code with Python API on New Label Added from Asters API
Asters + Python
 
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New Label Added from the Asters API

Emit new event when a label is added to a post. See the documentation

 
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List Labels with the Asters API

Retrieve the list of all labels of a specific workspace. See the documentation

 
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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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List Posts with the Asters API

Retrieve a list of posts of a social profile. See the documentation

 
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List Posts Analytics with the Asters API

Retrieve the list of posts' analytics of a social account. See the documentation

 
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List Social Accounts with the Asters API

Retrieve the list of all social accounts of a specific workspace. See the documentation

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

Connect Asters

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    asters: {
      type: "app",
      app: "asters",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.asters.ai/api/external/v1.0/workspaces`,
      headers: {
        "x-api-key": `${this.asters.$auth.api_key}`,
      },
    })
  },
})

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