Integrate the Bannerbear API with the Python API

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

Popular Bannerbear and Python Actions#

Approve Video with the Bannerbear API

Approve a video to proceed with rendering. See the docs here.

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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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Create an Image with the Bannerbear API

Create an image using template and modifications. See the docs

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Create Animated Gif with the Bannerbear API

Creates an Animated Gif. See the docs here.

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Create Collection with the Bannerbear API

Generates multiple Images based on a Template Set. See the docs here.

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Overview of Bannerbear#

Bannerbear is an automated image and video generation service that allows you to create custom visuals with dynamic data. Using the Bannerbear API, you can programmatically generate images and videos for social media posts, e-commerce product images, personalized email marketing visuals, and more, all tailored to your brand's aesthetic and updated in real time with the latest information.

Connect Bannerbear#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bannerbear: {
      type: "app",
      app: "bannerbear",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bannerbear.com/v2/account`,
      headers: {
        Authorization: `Bearer ${this.bannerbear.$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}}