Integrate the Lahar API with the Schedule API

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

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Popular Lahar 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 Lahar#

The Lahar API enables users to automate and integrate their marketing efforts, facilitating lead management, email campaigns, and analytics. On Pipedream, you can leverage these capabilities to build serverless workflows that respond to events in real-time, sync data across various platforms, and create custom marketing automations without managing infrastructure.

Connect Lahar#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lahar: {
      type: "app",
      app: "lahar",
    }
  },
  async run({steps, $}) {
    const data = {
      "token_api_lahar": `${this.lahar.$auth.api_token}`,
      "email_contato": `{email_address}`,
      "estagio_lead": `1`,
    }
    return await axios($, {
      method: "put",
      url: `https://app.lahar.com.br/api/leads`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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