The Problem
Market research requires data from multiple sources: search trends from Google, product data from Amazon, video content from YouTube, and unfiltered community feedback from Reddit. Gathering this manually is tedious and incomplete.
How Scavio Helps
- Cross-platform data in a single workflow
- Google Knowledge Graph for entity information
- Amazon product landscape and pricing data
- YouTube video trends and content analysis
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "electric vehicle market 2026":
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, market analysts, research teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your market research solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.