SFTP (password-based auth)

Interact with an SFTP (SSH File Transfer Protocol) Server using a username and password for auth

Integrate the SFTP (password-based auth) API with the Python API

Setup the SFTP (password-based auth) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SFTP (password-based auth) and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Remote Directory Watcher from SFTP (password-based auth) API
SFTP (password-based auth) + Python
 
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New Remote Directory Watcher from the SFTP (password-based auth) API

Emit new events when files get created, changed or deleted from a remote directory. See the docs

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Upload String as File with the SFTP (password-based auth) API

Uploads a UTF-8 string as a file on an SFTP server

 
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Overview of SFTP (password-based auth)

SFTP on Pipedream enables secure file management on remote servers directly from your workflows. Utilize this app to automate file uploads, downloads, and synchronization tasks between your systems and SFTP servers. Implement robust data pipelines or deploy content to web servers without manual intervention, all while maintaining a high level of security with password-based authentication.

Connect SFTP (password-based auth)

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module.exports = defineComponent({
  props: {
    sftp_password_based_auth: {
      type: "app",
      app: "sftp_password_based_auth",
    }
  },
  async run({steps, $}) {
    const Client = require('ssh2-sftp-client');
    
    const { 
      host,
      username,
      password,
    } = this.sftp_password_based_auth.$auth
    
    const config = {
      host,
      username,
      password,
    }
    
    const sftp = new Client()
    
    await sftp.connect(config)
    this.cwd = await sftp.cwd();
    return await sftp.end();
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}