Integrate the OpenGraph.io API with the Python API

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

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Popular OpenGraph.io and Python Actions#

Batch Scrape with the OpenGraph.io API

Scrape OpenGraph data from a list of URLs at once, to process multiple websites simultaneously. 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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Extract Data with the OpenGraph.io API

Extract specific OpenGraph properties from a specified URL, such as title, image, or description. See the docs here

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Scrape Url with the OpenGraph.io API

Retrieve OpenGraph data from a specified URL using the OpenGraph.io API. See the docs here

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Overview of OpenGraph.io#

The OpenGraph.io API enables you to fetch Open Graph data from websites, which is useful for previewing content like images, titles, and descriptions the way social platforms do. Integrating OpenGraph.io with Pipedream allows you to automate the retrieval of this data in response to various triggers and to use it in workflows that involve other apps and services.

Connect OpenGraph.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    opengraph_io: {
      type: "app",
      app: "opengraph_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://opengraph.io/api/1.1/site/https%3A%2F%2Fpipedream.com`,
      params: {
        app_id: `${this.opengraph_io.$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}}

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