Integrate the Hygraph API with the Python API

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

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Popular Hygraph and Python Actions#

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 Hygraph#

Hygraph API allows you to interact with a headless content management system that lets you manage and deliver content across multiple platforms. Leveraging this API on Pipedream, you can automate content creation, update workflows, and synchronize data across various services. You can trigger workflows on content changes, enrich the content with external APIs, or even automate content moderation.

Connect Hygraph#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hygraph: {
      type: "app",
      app: "hygraph",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ 
        posts {
          id
          author {
            id
            name
          }
          publishedAt
        }
      }`,
    }
    return await axios($, {
      method: "post",
      url: `{replace_with_your_content_api_url}`,
      headers: {
        Authorization: `Bearer ${this.hygraph.$auth.permanent_auth_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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