Integrate the Fixer API with the Schedule API

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

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Popular Fixer 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 Fixer#

The Fixer API provides real-time exchange rate data for various currencies, making it invaluable for financial applications, data analysis, and e-commerce platforms. Within Pipedream, you can harness this API to create automated workflows that trigger on schedules or events, process currency data, and connect with other services to perform actions such as updating pricing models, sending alerts, or syncing financial data across platforms.

Connect Fixer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fixer_io: {
      type: "app",
      app: "fixer_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://data.fixer.io/api/latest`,
      headers: {
        "Accept": `application/json`,
      },
      params: {
        access_key: `${this.fixer_io.$auth.api_key}`,
      },
    })
  },
})

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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