Aha

Product Roadmap Software

Integrate the Aha API with the Schedule API

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

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 Aha

The Aha API provides a gateway to Aha's product roadmapping software, enabling automated interactions with Aha's platform. With this API on Pipedream, you can create, read, update, and delete records within Aha, including features, ideas, and releases. This capability allows for streamlined project management workflows, efficient tracking of product development, and synchronization of data across various platforms.

Connect Aha

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aha: {
      type: "app",
      app: "aha",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.aha.$auth.subdomain}.aha.io/api/v1/me`,
      headers: {
        Authorization: `Bearer ${this.aha.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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.