Monitor Brand Mentions on Reddit

The Problem

Reddit is where customers talk about your product without a PR filter. A single angry thread in a niche subreddit can outrank your own marketing on Google within days, and a positive recommendation in r/startups or r/buildinpublic can drive more sign-ups than a paid campaign. Yet most brand monitoring tools either ignore Reddit entirely, charge enterprise prices, or rely on stale data that surfaces threads a week after they blow up. Small and mid teams end up finding out about PR crises from customer support tickets instead of from their own tooling.

The Scavio Solution

Scavio gives you a one-call Reddit search endpoint that returns fresh posts for any brand or product query. Drop it in a cron job or an agent loop, diff against yesterday's results, and push new mentions into Slack or Linear with scores, subreddits, and timestamps. When a thread crosses a score threshold, fetch the full comment tree with one more call and pipe it into an LLM for sentiment summarization and action items.

Who It Is For

Founders, community managers, and growth teams who cannot afford to miss a viral Reddit thread about their product. If your brand lives or dies by community sentiment, this is for you.

Key Benefits

• Catch viral threads within minutes, not days
• One API key, no OAuth, no subreddit rate limits
• Comment trees arrive structured with depth and parentId
• LLM-ready schema for instant sentiment summarization
• Pair with Google and YouTube search for full web coverage

Python Example

import requests, json, os
from datetime import datetime

API_KEY = "your_scavio_api_key"
STATE = "reddit_state.json"
BRAND = "acme widgets"

resp = requests.post(
    "https://api.scavio.dev/api/v1/reddit/search",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"query": BRAND, "sort": "new"},
    timeout=30,
)
posts = resp.json()["data"]["posts"]
seen = set(json.load(open(STATE))) if os.path.exists(STATE) else set()
new_posts = [p for p in posts if p["id"] not in seen]
for p in new_posts:
    print(f"[{p['subreddit']}] {p['title']} (score={p['score']}) {p['url']}")
json.dump(list({p["id"] for p in posts} | seen), open(STATE, "w"))

JavaScript Example

import fs from "node:fs";
const API_KEY = "your_scavio_api_key";
const STATE = "reddit_state.json";
const BRAND = "acme widgets";

const res = await fetch("https://api.scavio.dev/api/v1/reddit/search", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${API_KEY}`,
    "content-type": "application/json",
  },
  body: JSON.stringify({ query: BRAND, sort: "new" }),
});
const { data } = await res.json();
const seen = new Set(fs.existsSync(STATE) ? JSON.parse(fs.readFileSync(STATE, "utf8")) : []);
const fresh = data.posts.filter((p) => !seen.has(p.id));
for (const p of fresh) {
  console.log(`[${p.subreddit}] ${p.title} (score=${p.score}) ${p.url}`);
}
fs.writeFileSync(STATE, JSON.stringify([...data.posts.map((p) => p.id), ...seen]));

Platforms Used