Integrate the Nexweave API with the Python API

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

Popular Nexweave and Python Actions#

Create Campaign Experience with the Nexweave API

Generates a campaign experience based on a selected campaign. See the documentation

Try it

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.

Try it

Create Image Experience from Template with the Nexweave API

Creates an image experience from a template. See the documentation

Try it

Create Video Experience from Template with the Nexweave API

Creates a video experience from a template. See the documentation

Try it

Overview of Nexweave#

The Nexweave API lets you create personalized images and videos at scale, transforming static designs into dynamic templates. With it, you can automate the generation of customized content for email campaigns, social media, or advertising, by integrating user-specific data to create a more engaging and personalized experience. On Pipedream, you can harness this power to craft serverless workflows that trigger Nexweave's capabilities in response to various events and integrate them with other apps and services.

Connect Nexweave#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nexweave: {
      type: "app",
      app: "nexweave",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.nexweave.com/api/v1/integration/campaign`,
      headers: {
        "X-API-KEY": `${this.nexweave.$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#

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}}