Integrate the Crowd.dev API with the Schedule API

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

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Popular Crowd.dev 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 Crowd.dev#

Crowd.dev is an API that enriches your understanding of your developer community by aggregating data from various platforms like GitHub, GitLab, and more. By connecting to Crowd.dev, you can track community activity, identify top contributors, and gauge the health of your open-source projects. Pipedream simplifies and amplifies the potential of the Crowd.dev API by allowing you to create automated workflows that respond to events in real-time, like new contributions, issues, or discussions.

Connect Crowd.dev#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crowd_dev: {
      type: "app",
      app: "crowd_dev",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.crowd.dev/api/auth/me`,
      headers: {
        Authorization: `Bearer ${this.crowd_dev.$auth.bearer_token}`,
      },
    })
  },
})

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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