Go-UPC

The World's Largest Barcode Database. Find more products by UPC, EAN, and ISBN than anywhere else on the Web.

Integrate the Go-UPC API with the Schedule API

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

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 Go-UPC

The Go-UPC API allows users to look up products using their UPC (Universal Product Code) to access detailed information like the product name, description, image, and manufacturer. Leveraging Go-UPC within Pipedream empowers you to automate inventory tracking, streamline product data collection, or enhance e-commerce experiences. By integrating this API, you can enrich datasets, trigger actions based on product lookups, and connect this data to countless other services supported by Pipedream.

Connect Go-UPC

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    go_upc: {
      type: "app",
      app: "go_upc",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://go-upc.com/api/v1/code/{your_upc_code}`,
      headers: {
        Authorization: `Bearer ${this.go_upc.$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.