Akeneo

Product information management and data intelligence software

Integrate the Akeneo API with the Python API

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

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Create A New Product Media File with the Akeneo API

Allows you to create a new media file and associate it to an attribute value of a given product or product model. See the docs

 
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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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Overview of Akeneo

The Akeneo API empowers users to streamline product information management by automating data exchange between Akeneo and other systems. By leveraging Pipedream, you can construct workflows that trigger actions based on events in Akeneo, sync product data across platforms, enhance product information with data from external sources, and keep sales channels up-to-date with the latest catalog details.

Connect Akeneo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    akeneo: {
      type: "app",
      app: "akeneo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.akeneo.$auth.host}/api/rest/v1`,
      headers: {
        Authorization: `Bearer ${this.akeneo.$auth.oauth_access_token}`,
        "accept": `application/json`,
      },
    })
  },
})

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