imgbb

Free image hosting and sharing service

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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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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo