The Problem
Market research from Reddit is currently a manual process. Analysts browse subreddits, read threads, and try to synthesize pain points and trends from hundreds of posts. This is slow, inconsistent, and biased toward whatever the analyst happens to see during their browsing session. Key signals in smaller subreddits or older threads are missed entirely. There is no systematic way to quantify discussion themes, track sentiment trends, or identify emerging pain points at scale.
The Scavio Solution
Build a pipeline that queries Scavio Reddit search for category-relevant discussions, extracts pain points and feature requests from post titles and snippets, classifies themes, and tracks theme frequency over time. The pipeline produces weekly market intelligence reports showing: top pain points by mention frequency, emerging themes (new this week), sentiment trends per theme, and competitive mentions with context.
Before
Before the pipeline, market research from Reddit was a biweekly manual task taking 4 hours per session. Reports reflected whatever the analyst happened to find, with no consistency across sessions and no trend tracking.
After
After automation, weekly reports cover 50+ queries across 10 subreddits, surfacing pain points ranked by frequency, new emerging themes, and competitive mentions with sentiment context. Research time dropped from 4 hours biweekly to 15 minutes reviewing the automated report.
Who It Is For
Product managers who need systematic market research from Reddit rather than anecdotal browsing. Competitive intelligence teams tracking customer pain points and competitor mentions in community discussions.
Key Benefits
- Systematic coverage of 10+ subreddits with 50+ queries per week
- Pain point extraction ranked by mention frequency
- Emerging theme detection highlights new topics week over week
- Competitive mention tracking with sentiment context
- Total cost under $5/month for comprehensive Reddit market intelligence
Python Example
import requests
from collections import Counter
from datetime import datetime
import json
from pathlib import Path
API_KEY = "your_scavio_api_key"
def search_reddit(query: str) -> list[dict]:
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "reddit", "query": query},
timeout=15,
)
res.raise_for_status()
return res.json().get("organic", [])
def extract_intelligence(category: str, queries: list[str]) -> dict:
all_posts = []
pain_points = Counter()
for q in queries:
posts = search_reddit(q)
for post in posts:
title = post.get("title", "").lower()
all_posts.append({"title": post.get("title", ""), "score": post.get("score", 0), "query": q})
# Simple pain point extraction from titles
pain_keywords = ["frustrated", "problem", "issue", "hate", "annoying", "broken", "expensive", "slow", "alternative"]
for kw in pain_keywords:
if kw in title:
pain_points[kw] += 1
report = {
"category": category,
"date": datetime.utcnow().strftime("%Y-%m-%d"),
"queries_run": len(queries),
"total_posts": len(all_posts),
"top_pain_signals": pain_points.most_common(10),
"highest_engagement": sorted(all_posts, key=lambda x: x["score"], reverse=True)[:5],
}
Path(f"market_intel_{category}_{report['date']}.json").write_text(json.dumps(report, indent=2))
return report
report = extract_intelligence("search-api", [
"search api recommendation",
"serp scraping frustrated",
"best api for web data",
"switching from serpapi alternative",
])
print(f"Analyzed {report['total_posts']} posts, top signals: {report['top_pain_signals'][:3]}")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function searchReddit(query) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "reddit", query }),
});
if (!res.ok) throw new Error(`scavio ${res.status}`);
return (await res.json()).organic ?? [];
}
const queries = ["search api recommendation", "serp scraping frustrated", "switching from serpapi"];
const allPosts = [];
for (const q of queries) {
const posts = await searchReddit(q);
for (const p of posts) allPosts.push({ title: p.title ?? "", score: p.score ?? 0, query: q });
}
const sorted = allPosts.sort((a, b) => b.score - a.score);
console.log(`Analyzed ${allPosts.length} posts across ${queries.length} queries`);
for (const p of sorted.slice(0, 5)) console.log(` [${p.score}] ${p.title.slice(0, 80)}`);Platforms Used
Community, posts & threaded comments from any subreddit