Scavio for YouTube Audience Sentiment Tracking

The Problem

Brands miss critical audience feedback buried in YouTube comments, discovering sentiment shifts only after they become PR problems.

How Scavio Helps

• Structured YouTube data for sentiment analysis pipelines
• Track brand mentions across creator videos
• Early warning system for negative sentiment spikes
• Monitor competitor brand perception alongside your own
• Programmatic access at a fraction of social listening tool costs

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching YouTube for "scavio review honest opinion 2026":

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 Brand managers and social listening teams

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your youtube audience sentiment tracking 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.