The Problem
Product teams miss valuable unfiltered feedback buried in YouTube comments on review and tutorial videos because there is no scalable way to mine them.
How Scavio Helps
- Find relevant review videos for your product category
- Structured data enables systematic comment analysis
- Access candid opinions unavailable through surveys
- Track competitor product reception over time
- Affordable research at scale vs manual video browsing
Relevant Platforms
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching YouTube for "honest review project management software 2026":
Python
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/youtube/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for video in data.get("videos", [])[:5]:
print(f"{video['title']} — {video.get('views', 'N/A')} views")Built for Product managers, customer insight teams, and market researchers
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your youtube comment mining for product solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.