The Problem
Financial NLP models need large labeled datasets of news articles with sentiment labels. News APIs like NewsAPI charge $449/mo for commercial use. Manual collection does not scale. Search APIs provide headlines and snippets at $0.005/query.
How Scavio Helps
- Collect financial news headlines and snippets at $0.005/query
- Target specific stocks, sectors, or event types with precise search queries
- Historical coverage: search for news from specific date ranges
- Build datasets of 10,000+ labeled articles for under $50
- Structured JSON output feeds directly into ML preprocessing pipelines
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "AAPL earnings report q1 2026 analysis":
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 researchers, ML engineers, and fintech teams building financial sentiment models
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your financial news sentiment dataset building 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.