Reddit Sentiment Analysis: What People Really Think of Your Brand

Focus groups are polite. X is noise. Reddit is honest — sometimes brutally so. If your onboarding is confusing, someone in your subreddit has written a paragraph about it. If a competitor is quietly better, a Reddit thread is comparing you line by line. For a brand that's unnerving; for a marketer who wants the truth, it's the best signal on the internet.

And here's the part that makes Reddit uniquely worth monitoring: those threads rank on Google and stick around for years. A scorching "Is [your product] worth it?" thread can shape buying decisions long after it's posted. This guide builds a Reddit sentiment monitor — find the brand discussions, pull the comments, and read the room — with code in JavaScript.

Step 1: Find where you're being discussed

The Reddit search endpoint takes a query, a sort, and a timeframe.

const API_KEY = process.env.SOCIAVAULT_API_KEY;
const BASE = "https://api.sociavault.com/v1/scrape/reddit";

async function findThreads(brand) {
  const res = await fetch(
    `${BASE}/search?query=${encodeURIComponent(brand)}&sort=relevance&timeframe=month&trim=true`,
    { headers: { "x-api-key": API_KEY } },
  );
  const json = await res.json();
  if (!json.success) throw new Error(json.error);
  // Be defensive about the results container shape.
  const threads = Array.isArray(json.data)
    ? json.data
    : json.data.posts || json.data.items || [];
  return threads.slice(0, 5);
}

Step 2: Pull the comments

The thread title is the tip; the real sentiment lives in the replies. The post/comments endpoint takes the thread url.

async function getComments(threadUrl) {
  const res = await fetch(
    `${BASE}/post/comments?url=${encodeURIComponent(threadUrl)}&trim=true`,
    { headers: { "x-api-key": API_KEY } },
  );
  const json = await res.json();
  if (!json.success) return [];
  // Reddit comments use a `body` field; container may be an array or nested.
  return Array.isArray(json.data) ? json.data : json.data.comments || [];
}

Step 3: Read the sentiment

A keyword pass gives you a fast directional read. Just know its limits — "I hate how much I love this" gets miscounted by any keyword scorer, which is exactly why the next section matters.

const POS = ["love", "great", "best", "recommend", "worth it", "solid"];
const NEG = ["hate", "worst", "broken", "buggy", "overpriced", "avoid", "scam"];

function score(comments) {
  let pos = 0,
    neg = 0;
  for (const c of comments) {
    const t = (c.body || "").toLowerCase();
    if (POS.some((w) => t.includes(w))) pos++;
    if (NEG.some((w) => t.includes(w))) neg++;
  }
  const verdict =
    pos > neg
      ? "✅ mostly positive"
      : neg > pos
        ? "❌ mostly negative"
        : "😐 mixed";
  return { pos, neg, verdict };
}

async function monitor(brand) {
  const threads = await findThreads(brand);
  for (const t of threads) {
    const comments = await getComments(t.url);
    const s = score(comments);
    console.log(`\n"${t.title}"\n  👍 ${s.pos}  👎 ${s.neg}  → ${s.verdict}`);
  }
}

monitor("Cursor editor");

Step 4: Use an LLM for the nuance (recommended)

Keyword counting is a smoke detector, not an analysis. For something you'd actually send to a product manager, feed the scraped comments to an LLM with a prompt like:

"Here are 80 Reddit comments about [Brand]. List the top 3 recurring complaints and the top 3 praises, with a representative quote for each."

The scraping is identical — you're just swapping the scoring step for a model that understands sarcasm, context, and nuance. That turns a pile of comments into a one-page qualitative report.

Why Reddit data beats the rest

Two reasons it's worth a standing monitor. First, honesty: Reddit's pseudonymity and downvotes produce candid, self-correcting discussion you won't get from polished reviews. Second, permanence: unlike fleeting X trends, Reddit threads rank in Google for years, so a single unanswered complaint can quietly cost conversions long-term. Monitoring lets you spot and address issues while they're still fresh — and sometimes jump into the thread yourself.

Frequently Asked Questions

How do I analyze sentiment about my brand on Reddit?

Search Reddit for your brand, pull the comments from the top threads, and score them — start with a keyword pass for a quick read, then use an LLM for nuance. The code here does the searching and scraping; the analysis step is where you choose speed (keywords) or depth (a model).

Why is Reddit better than other platforms for brand sentiment?

Reddit's pseudonymous, downvote-moderated culture produces unusually honest discussion, and its threads rank on Google and persist for years. That combination — candor plus permanence — makes it the highest-signal place to understand how people really feel about a product.

Is keyword-based sentiment analysis reliable?

It's a useful first pass but misses sarcasm and nuance (it would misread "I hate that I love this"). For decisions, feed the scraped comments into a sentiment model or LLM. The scraping stays the same; only the scoring changes.

Can I monitor competitors' sentiment too?

Yes — search their brand name the same way. Competitor threads are full of unmet needs and complaints you can address in your own product and marketing, which makes them valuable research, not just defense.

How often should I run this?

Weekly is a sensible cadence for most brands, with alerting on spikes. A sudden jump in negative discussion (often after a release or outage) is exactly when you want to know fast, so consider a daily search on your core brand terms.

Do I need a Reddit account or API credentials?

No. A scraping API reads publicly visible threads and comments without you managing Reddit OAuth or a personal account. Stick to public data and use it responsibly.

The bottom line

Reddit will tell you the truth about your product whether you're listening or not — and Google will keep showing it for years. Monitor the discussions, read the sentiment (with an LLM for the nuance), and fix what surfaces before it hardens into your brand's reputation.

Want to hear the truth? Start free with SociaVault with 50 credits.