The Problem
Market prediction models require diverse news corpora covering earnings, mergers, regulatory actions, and macro events. Professional news APIs (Bloomberg, Refinitiv) cost thousands per month. Academic datasets are stale. Search APIs fill the gap affordably.
How Scavio Helps
- Systematic news collection across sectors at $0.005/query
- Cover multiple event types: earnings, M&A, regulation, macro, sentiment shifts
- Build sector-specific corpora: tech, healthcare, energy, finance
- Date-range targeting for time-series aligned training data
- Cost: collect 20,000 news items for $100 vs $2,000+/mo for Bloomberg Terminal
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "semiconductor industry supply chain news may 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 Quantitative analysts, academic researchers, and ML teams building market prediction models
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your market prediction news corpus 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.