Files.com

Files.com is a SaaS FTP file transfer platform that enables organizations to securely transfer, share, and store files.

Integrate the Files.com API with the Schedule API

Setup the Files.com API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Files.com 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 Files.com

The Files.com API offers the flexibility to automate file management and manipulate folder structures programmatically. With Files.com on Pipedream, you can construct workflows that handle file synchronization, sharing, and security. It's a powerhouse for creating custom triggers based on file events, automating content distribution, or integrating seamless file operations within a broader data processing ecosystem.

Connect Files.com

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    files_com: {
      type: "app",
      app: "files_com",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.files_com.$auth.subdomain}.files.com/api/rest/v1/users.json`,
      headers: {
        "X-FilesAPI-Key": `${this.files_com.$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.