Integrate the Reviewflowz API with the Schedule API

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

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Popular Reviewflowz and Schedule Triggers#

New Review from the Reviewflowz API

Emit new event when a review is published on any of your listings.

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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 Reviewflowz#

Reviewflowz API lets you streamline your product review management process. It helps you capture, monitor, and act on customer feedback from multiple platforms in one place. On Pipedream, you can use this API to automate the gathering and organizing of reviews, notify teams about new feedback, and integrate review data into other tools like CRMs or analytics services, turning reviews into actionable insights.

Connect Reviewflowz#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    reviewflowz: {
      type: "app",
      app: "reviewflowz",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.reviewflowz.com/api/v2/me`,
      headers: {
        Authorization: `Bearer ${this.reviewflowz.$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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