Integrate the Hashnode API with the Schedule API

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

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Popular Hashnode and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Overview of Hashnode#

The Hashnode API enables developers to programmatically interact with the Hashnode blogging platform. Using the API on Pipedream, you can automate content publication, data syncing, and notification workflows. This allows you to streamline your blogging process, engage with your audience more effectively, and integrate with other services to enrich your Hashnode presence.

Connect Hashnode#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hashnode: {
      type: "app",
      app: "hashnode",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `query Me {
      me {
        id
        username
      }
    }
    `,
    }
    return await axios($, {
      method: "post",
      url: `https://gql.hashnode.com`,
      headers: {
        "Authorization": `${this.hashnode.$auth.access_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Schedule#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

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