Omnivore

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Integrate the Omnivore API with the Python API

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

Get Article with the Omnivore API

Get a single article and its content. 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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Save Page with the Omnivore API

Save a page with supplied HTML content. See the documentation

 
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Save URL with the Omnivore API

Save a URL to Omnivore. See the documentation

 
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Search For Pages with the Omnivore API

Search for pages in Omnivore. See the documentation

 
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Overview of Omnivore

The Omnivore API offers a platform to integrate with various Point of Sale (POS) systems, streamlining data access across multiple restaurant locations and systems. With Pipedream, you can harness this API to automate tasks, sync data, and connect with other services like CRMs, messaging apps, or analytics tools. By setting up triggers and actions, workflows can process transactions, update menus, gather sales reports, and more, all in real time.

Connect Omnivore

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    omnivore: {
      type: "app",
      app: "omnivore",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `query Viewer { me { id name } }`,
    }
    return await axios($, {
      method: "POST",
      url: `https://api-prod.omnivore.app/api/graphql`,
      headers: {
        "authorization": `${this.omnivore.$auth.api_key}`,
      },
      data,
    })
  },
})

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}}