Download YouTube Videos Straight to S3, GCS or R2

Q: Can I download YouTube videos directly to S3?

Yes. Either download with yt-dlp and upload each file to S3 yourself, or use a managed download API that writes results straight to your S3 bucket, skipping the intermediate hop through your own server.

Q: Why deliver straight to the cloud instead of downloading first?

Direct-to-cloud delivery avoids paying to move terabytes through your own server, keeps files organized by ID, and removes a whole class of disk-space and upload-failure problems at scale.

Q: Which clouds are supported?

Amazon S3, Google Cloud Storage, and Cloudflare R2 are the common targets, plus OneDrive and Google Drive. R2 is popular because it has no egress fees.

Updated September 2026 · 6 min read

TL;DR You can get YouTube videos into cloud storage two ways: download them with yt-dlp and upload each file to your bucket yourself, or use a managed API that writes results straight to S3, GCS or R2. The direct route avoids paying to move terabytes through your own server and removes the disk-space and upload-failure headaches at scale.

Option 1: yt-dlp, then upload

The DIY route is two steps — download locally, then push to your bucket:

bash — Amazon S3

yt-dlp -f "bv*+ba/b" -o "%(id)s.%(ext)s" -a urls.txt
aws s3 cp . s3://your-bucket/youtube/ --recursive --exclude "*" --include "*.mp4"

bash — Google Cloud Storage

yt-dlp -f "bv*+ba/b" -o "%(id)s.%(ext)s" -a urls.txt
gcloud storage cp *.mp4 gs://your-bucket/youtube/

This is fine for small jobs. At scale the problems stack up: every file lands on your server first (disk + egress), uploads fail and need their own retries, and you're back to managing proxies and rate limits on the download side. See the yt-dlp at scale breakdown.

Option 2: deliver straight to the bucket

A managed download API skips the local hop entirely — you name a destination and the finished files appear there. No download-through-your-server, no separate upload step:

cURL

curl -X POST "https://api.videodl.app/api/start-download" \
  -H "x-api-key: vdl_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
    "destination": "s3://your-bucket/youtube/"
  }'

Swap the destination for gs:// (GCS) or an R2 bucket and the flow is identical. Full Python and Node examples are in the download API guide.

Which cloud should you pick?

Destination	Best when	Egress
Amazon S3	You're already on AWS	Charged
Google Cloud Storage	You're on GCP / using Vertex	Charged
Cloudflare R2	You read the data back often	None

If you'll repeatedly pull the videos back out (training runs, re-processing), R2's zero egress can save more than the storage costs. If your pipeline already lives in one cloud, keep the data next to your compute.

Keep files aligned

Whichever route you use, name files by video ID (%(id)s) so the video, its transcript, and metadata stay tied to the same key. This matters most for AI datasets, where drift between modalities quietly corrupts training pairs.

FAQ

Can I download YouTube videos directly to S3?
Yes — either yt-dlp then aws s3 cp, or a managed API that writes straight to your S3 bucket with no local hop.

Why deliver straight to the cloud?
It avoids moving terabytes through your own server, keeps files organized by ID, and removes disk-space and upload-failure problems at scale.

Which clouds are supported?
S3, GCS, and R2 are the common targets, plus OneDrive and Google Drive. R2 is popular for its zero egress fees.

Straight to your bucket

POST your URLs with an S3, GCS or R2 destination and the files land there. First 100 free.

Explore the download API →