The Problem
TikTok comments on product review videos contain authentic user feedback that never reaches formal review channels. Manually reading comments across hundreds of videos is impractical, but the insights inform product development and marketing messaging.
How Scavio Helps
- Search for product review videos via search/videos endpoint
- Pull 100+ comments per video with reply threads
- Identify recurring praise themes and complaint patterns
- Cost: $0.10 per video (search + comments + replies)
- Feed insights into product roadmap and marketing copy
Relevant Platforms
TikTok
Trending video, creator, and product discovery
Quick Start: Python Example
Here is a quick example searching TikTok for "A skincare brand searches TikTok for '(brand) review' and pulls comments from the top 20 videos. Total: 22 API calls at $0.11. Analysis of 400+ comments reveals 3 recurring themes: praise for texture (mentioned 45 times), complaints about packaging leaks (31 mentions), and requests for a larger size (28 mentions). Product team prioritizes packaging redesign. Marketing emphasizes texture in ad copy.":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Product managers, UX researchers, brand managers monitoring product perception, consumer insights teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your tiktok comment sentiment for product feedback 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.