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#

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#

With the Akeneo API, you can build a variety of products and solutions that
help companies manage their product data. Here are some examples:

A product data management system
A product data sync tool
A product data visualization tool
A product data cleansing tool
A product data enrichment tool

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`,
      },
    })
  },
})

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#

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}}