Scavio for Reddit Stock Intelligence

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

Quick Start: Python Example

Here is a quick example searching Reddit for "NVDA wallstreetbets sentiment analysis 2026":

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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.