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