How to Automate Video Downloads in OpenClaw with yt-dlp

OpenClaw is a powerful workflow automation platform that lets you connect APIs, triggers, and actions into seamless pipelines. Combined with yt-dlp - the most capable video downloader available - you can build automated systems to monitor competitor content, archive tutorials, extract audio for transcription, and much more.

This guide walks you through setting up yt-dlp-powered video download workflows inside OpenClaw, from a simple single-URL trigger to a fully automated content monitoring pipeline.

Why Combine yt-dlp with OpenClaw?

Doing things manually does not scale. If you need to track video content across multiple channels, archive educational material, or feed downloaded videos into downstream processing (transcription, compression, analysis), you need automation.

OpenClaw handles the orchestration - triggers, scheduling, branching logic, and notifications - while yt-dlp handles the hard part: reliably extracting video from over 1,000 supported sites.

Common use cases:

• Competitor monitoring: automatically download new videos from competitor YouTube channels and route them to a transcription or analysis step.
• Content archival: trigger a download whenever a new video appears in a watched RSS feed or playlist.
• Audio extraction: pull audio from video URLs for podcast generation, transcription pipelines, or training datasets.
• Quality assurance: verify that publicly available videos (product demos, tutorials) remain accessible and match expected content.

Prerequisites

Before building your OpenClaw workflow, make sure you have:

1. An OpenClaw account with at least one active workspace.
2. A server or cloud function where yt-dlp is installed and accessible via HTTP (you can expose it with a small FastAPI or Express wrapper, or use a managed HuntAPI endpoint).
3. Basic familiarity with OpenClaw's node-based editor.

Step 1 - Set Up a yt-dlp HTTP Endpoint

OpenClaw communicates with external tools via HTTP. The simplest approach is to wrap yt-dlp in a small API server.

Here is a minimal Python example using FastAPI:

from fastapi import FastAPI
from pydantic import BaseModel
import subprocess, json

app = FastAPI()

class DownloadRequest(BaseModel):
    url: str
    format: str = "bestvideo+bestaudio/best"
    output_dir: str = "/tmp/downloads"

@app.post("/download")
def download_video(req: DownloadRequest):
    result = subprocess.run(
        [
            "yt-dlp",
            "--format", req.format,
            "--output", f"{req.output_dir}/%(title)s.%(ext)s",
            "--print-json",
            req.url,
        ],
        capture_output=True,
        text=True,
    )
    metadata = json.loads(result.stdout.splitlines()[-1]) if result.returncode == 0 else {}
    return {
        "success": result.returncode == 0,
        "title": metadata.get("title"),
        "duration": metadata.get("duration"),
        "filepath": metadata.get("filename"),
        "error": result.stderr if result.returncode != 0 else None,
    }

Deploy this service and note the public URL - you will use it as a target in your OpenClaw HTTP action node.

Step 2 - Create an OpenClaw Workflow

Trigger: New Video in a YouTube Channel

1. Open the OpenClaw editor and create a new workflow.
2. Add a Schedule or RSS Feed trigger node. YouTube channel RSS feeds follow this pattern:

https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID

3. Set the polling interval (e.g., every hour).

Action: Download the Video

1. Add an HTTP Request action node after the trigger.
2. Configure it as a POST request to your yt-dlp endpoint:

{
  "url": "{{trigger.link}}",
  "format": "bestvideo[height<=1080]+bestaudio/best",
  "output_dir": "/mnt/storage/videos"
}

3. Map trigger.link from the RSS feed item to the url field.

Action: Extract Audio Only (Optional)

If you only need audio (for transcription or podcast workflows), change the format to:

{
  "url": "{{trigger.link}}",
  "format": "bestaudio/best"
}

And add --extract-audio --audio-format mp3 to your yt-dlp command on the server side.

Step 3 - Handle the Response

After the download, the HTTP action node returns a JSON object with the file path, title, duration, and success status. You can use these fields to:

• Send a Slack notification with the video title and a download confirmation.
• Trigger a transcription workflow by passing the file path to a Whisper or AssemblyAI node.
• Upload to cloud storage (S3, GCS, R2) using a storage action node.
• Log results to a spreadsheet for tracking and reporting.

Example: Conditional Error Handling

Add a Condition node after the HTTP request to check the success field:

• If true → proceed to the next action (upload, transcription, etc.).
• If false → send an alert to your team with the error message from yt-dlp.

Step 4 - Dealing with Rate Limits and Geo-Restrictions

Large-scale workflows may hit YouTube's rate limits (Error 429) or encounter geo-blocked content. Pass a --proxy argument in your yt-dlp command:

"yt-dlp",
"--proxy", "http://your-proxy:port",
"--format", req.format,
...

For rotating proxies, use a provider that exposes a single gateway that rotates exit IPs automatically. This avoids managing a proxy list in your workflow logic.

You can also add a retry node in OpenClaw to automatically re-run the download step with an exponential backoff if the first attempt fails.

Workflow Blueprint: Full Content Monitoring Pipeline

Here is a complete blueprint you can import directly into OpenClaw:

Tips for Production

• Cache processed URLs using a Redis or database node to avoid re-downloading the same video on every trigger cycle.
• Set output templates carefully in yt-dlp to avoid filename collisions: %(upload_date)s_%(id)s_%(title)s.%(ext)s is a safe default.
• Monitor disk space on your download server; add a cleanup step that deletes files older than N days after they have been processed.
• Use yt-dlp's --cookies-from-browser option (server-side) for sites that require authentication, and rotate sessions to stay compliant.

Skip the Setup: Use HuntAPI Directly

Instead of deploying and maintaining your own yt-dlp server (Step 1), you can point your OpenClaw HTTP node directly at HuntAPI. HuntAPI provides a ready-to-use, managed video download endpoint - no infrastructure to maintain, no proxy list to manage, and built-in support for geo-unblocking and rate-limit handling.

This lets you go from zero to a working OpenClaw video download workflow in minutes.

Sources

• yt-dlp GitHub Repository
• OpenClaw Documentation
• FastAPI Documentation