Integrate the Loqate API with the Schedule API

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

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Popular Loqate 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 Loqate#

The Loqate API offers a robust toolkit for location data services including address verification, geocoding, and autocomplete. When leveraged within Pipedream, users can automate workflows involving data enrichment, validation, and location intelligence. You can seamlessly integrate real-time address validation in your e-commerce checkout process, enrich user profiles with geographic data, or automate the updating of an address database.

Connect Loqate#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loqate: {
      type: "app",
      app: "loqate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.addressy.com/EmailValidation/Batch/Validate/v1.20/json.ws`,
      params: {
        Key: `${this.loqate.$auth.service_key}`,
        Emails: `{enter_email_here}`,
      },
    })
  },
})

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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