YouTube Shorts contains valuable data -- short video results, video ids, view counts, published time, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.
This tutorial shows you how to scrape YouTube Shorts using Python and the Scavio API. By the end, you will have a working Python script that fetches real-time YouTube Shorts data and parses the results.
Prerequisites
- Python installed on your machine
- A Scavio API key (free tier includes 50 credits on signup -- no credit card required)
Step 1: Install Dependencies
Install requests to make HTTP requests:
pip install requestsStep 2: Make Your First YouTube Shorts Search
Send a POST request to the Scavio YouTube Shorts API endpoint with your query. The API returns structured JSON with short video results, video ids, view counts, and more.
# Shorts search takes search (not query). channel.name is often empty on Shorts rows -
# resolve it with POST /api/v1/youtube/video when you need it.
import requests
API_KEY = "sk_live_your_key"
search = "ai coding agent shorts"
response = requests.post(
"https://api.scavio.dev/api/v1/youtube/shorts",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
json={"search": search},
timeout=60,
)
response.raise_for_status()
data = response.json()
rows = (data.get("data") or {}).get("results") or []
for row in rows[:5]:
print(row.get("title"))
print(" ", row.get("view_count"), row.get("url"), row.get("video_id"))Step 3: Example Response
The API returns structured JSON. Here is an example response for a YouTube Shorts search:
{
"data": {
"results": [
{
"video_id": "_P63NrBN49U",
"title": "My go to Full Body Workout. No equipment. Anywhere",
"url": "https://www.youtube.com/shorts/_P63NrBN49U",
"duration_text": null,
"view_count": 64000000,
"published_time": "1 year ago",
"channel": { "id": null, "name": "", "url": null }
}
],
"next_cursor": "GhkKF...",
"has_more": true
},
"response_time": 2290,
"credits_used": 2,
"credits_remaining": 4809
}Every field is structured and typed -- no HTML parsing, no CSS selectors, no regex extraction. Your Python code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Python script that searches YouTube Shorts and prints the results:
"""
Search YouTube Shorts data with the Scavio API.
POST /api/v1/youtube/shorts - rows come back under data.results, 2 credits per call.
"""
import json
import os
import requests
# Shorts search takes search (not query). channel.name is often empty on Shorts rows -
# resolve it with POST /api/v1/youtube/video when you need it.
API_URL = "https://api.scavio.dev/api/v1/youtube/shorts"
API_KEY = os.environ["SCAVIO_API_KEY"]
def search_youtube_shorts(search: str) -> dict:
response = requests.post(
API_URL,
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
json={"search": search},
timeout=60,
)
response.raise_for_status()
return response.json()
if __name__ == "__main__":
data = search_youtube_shorts("ai coding agent shorts")
print(json.dumps(data, indent=2))
rows = (data.get("data") or {}).get("results") or []
for row in rows[:5]:
print(row.get("title"))
print(" ", row.get("view_count"), row.get("url"), row.get("video_id"))Why Use Scavio Instead of Scraping YouTube Shorts Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. YouTube Shorts aggressively blocks automated requests. Scavio returns clean data every time.
- Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
- Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
- Free tier included. 50 credits on signup with no credit card required. Each search costs 1 credit.