Integrate the Crisp API with the Schedule API

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

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Popular Crisp 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 Crisp#

The Crisp API allows you to tap into the capabilities of the Crisp Chat platform, which includes managing conversations, updating user information, and handling various customer support interactions programmatically. With Pipedream's integration, you can create bespoke workflows that automate actions based on events in Crisp or connect Crisp with other services to streamline customer engagement and support processes. These automations can help in managing leads, providing real-time support notifications, syncing customer data across platforms, and more.

Connect Crisp#

import Crisp from 'crisp-api';

export default defineComponent({
  props: {
    crisp: {
      type: "app",
      app: "crisp",
    }
  },
  async run({steps, $}) {
    const client = new Crisp();

    client.authenticateTier("plugin", this.crisp.$auth.identifier, this.crisp.$auth.key);

    return await client.website.listConversations(this.crisp.$auth.website_id, 1)
  },
})

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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