Integrate the imgbb API with the Python API

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

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Popular imgbb and Python Actions#

Upload picture with the imgbb API

Upload a picture to imgbb. 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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Overview of imgbb#

The imgbb API offers a straightforward solution for uploading images to the imgbb platform. Once uploaded, images can be shared across the web with ease, thanks to the provided URL links. This opens up a world of possibilities for automating image storage and distribution workflows on Pipedream. Whether you're managing a content-heavy blog, streamlining an eCommerce site with dynamic product images, or automating social media postings, using the imgbb API with Pipedream can save time and reduce manual effort.

Connect imgbb#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    imgbb: {
      type: "app",
      app: "imgbb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.imgbb.com/1/upload`,
      params: {
        key: `${this.imgbb.$auth.api_key}`,
        image: `R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7`,
        name: ``,
      },
    })
  },
})

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}}

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