BugBug

Test automation made simple and cost-effective

Integrate the BugBug API with the Schedule API

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

New Cloud Test Run Failed from the BugBug API

Emit new event when any test failed when running in the BugBug Cloud.

 
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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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New Scheduled Run Failed from the BugBug API

Emit new event when any scheduled cloud run fails

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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New Suite Run Failed from the BugBug API

Emit new event when any suite fails when running in BugBug

 
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Overview of BugBug

The BugBug API lets you automate and integrate your browser testing workflows. With it, you can manage tests, run them programmatically, and receive test results. By connecting the BugBug API with Pipedream, you can craft serverless workflows that trigger on various events, enabling a seamless CI/CD integration, or alerting you when your automated tests detect issues.

Connect BugBug

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bugbug: {
      type: "app",
      app: "bugbug",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.bugbug.io/api/v1/profiles/`,
      headers: {
        "Authorization": `Token ${this.bugbug.$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.