The Problem
Quantitative traders and retail investors miss Reddit-driven stock momentum because manually monitoring multiple investing subreddits cannot scale to the speed and volume of discussion.
How Scavio Helps
- Structured Reddit data from investing subreddits
- Ticker mention frequency as a sentiment proxy
- Post scores indicate community conviction strength
- Daily scanning catches momentum before price moves
- 1 credit per search enables high-frequency monitoring
Relevant Platforms
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Reddit for "NVDA wallstreetbets sentiment analysis 2026":
Python
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/reddit/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query, "sort": "new"},
)
data = response.json()
for post in data["data"].get("posts", [])[:5]:
print(f"r/{post['subreddit']} — {post['title']}")
print(f" by u/{post['author']}")Built for Quantitative traders, retail investors, and fintech data teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your reddit stock intelligence 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.