The Market Research Data Challenge
Research firms deliver reports that blend consumer demand, competitive positioning, and media coverage. Analysts in 2026 are expected to produce deliverables in days, not weeks. Public web data across Google, YouTube, Amazon, and Reddit is the fastest primary source, and Reddit threads often reveal the unfiltered voice of the customer before surveys do. Research teams need consistent, queryable access across platforms to compose defensible, current insight.
Built for These Teams
- Strategy consultancies delivering point-in-time market scans
- Independent analysts publishing subscription research
- Corporate strategy teams at Fortune 1000 companies
Key Workflows
Category demand mapping
Query Google and Amazon for a category across 15 geographies. Extract top brands, average price points, and review volumes, then roll them into a market size estimate that can be cross-checked against official trade data.
Consumer voice synthesis
Pull YouTube videos and review summaries for a product category, transcribe content, and extract themes such as complaints, unmet needs, and emerging features. Analysts use the themes to structure interview guides and report chapters.
Competitive landscape scans
For a named incumbent, collect the last 90 days of news mentions, product launch posts, and YouTube reviews. Produce a timeline of strategic moves and media sentiment to anchor the competitive chapter of the report.
Trend validation pulls
When a client raises a hypothesis about a new category, run targeted searches across Google News and Google Shopping to measure coverage volume, product availability, and merchant adoption before committing to a full study.
Why Market Research Teams Choose Scavio
- One API spanning news, video, and ecommerce surfaces
- Geographic targeting across 50 plus country locales
- Structured results analysts can load directly into notebooks
- Replaces fragile in-house scraping for consumer-facing sites
- Fresh data with no cached staleness from monthly data vendors
Quick Start Example
Here is a Python example running a market research query:
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={
"platform": "google",
"query": "plant based protein market share 2026",
},
)
data = response.json()
# Process results for your market research workflow
for item in data.get("organic_results", data.get("products", []))[:10]:
print(item)Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews
Google News
News search with headlines and sources
Google Shopping
Shopping results with multi-retailer pricing
Community, posts & threaded comments from any subreddit
Scavio is designed for teams that need reliable, structured data at scale. Start with the free tier, build your workflow, then scale when you are ready. No lock-in. No complicated setup. Read the quickstart to get your API key and first response in under two minutes.