DeployHQ

Deployment made simple. We make it super easy to automate deploying projects from Git, SVN and Mercurial repositories.

Integrate the DeployHQ API with the Schedule API

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

New Deploy Complete from the DeployHQ API

Emit new event when a deploy is completed

 
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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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New Deploy Failed from the DeployHQ API

Emit new event when a deploy fails

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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New Deploy Started from the DeployHQ API

Emit new event when a deploy starts

 
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Connect DeployHQ

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deployhq: {
      type: "app",
      app: "deployhq",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.deployhq.$auth.account_name}.deployhq.com/projects`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.deployhq.$auth.email}`,
        password: `${this.deployhq.$auth.api_key}`,
      },
    })
  },
})

Overview of Schedule

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

  • Automated data retrieval from a third-party service, like pulling stats from
    your Salesforce account on a set schedule.
  • Uploading new data sets to a database with a predetermined interval.
  • Automatic emails to customers or leads at a certain time of the day.
  • Automating data analysis based on a set schedule.
  • Automatically optimizing social media postings according to a specified
    timeline.
  • Updating webpages at a certain interval with newly available content.
  • Re-running reports on a periodic basis.
  • Refreshing a cache of data at a given frequency.