Reddit Brand Monitoring: AI mentions, sentiment and pain points

Every new Reddit mention of your brand — ranked, with the one to answer first.

⚡ First 25 mentions free · 💵 $0.002 per qualified mention · 🤖 $0.009 with AI assessment · 🔑 No API key needed — the AI uses the model access of your Apify plan, or your own key · ⏱️ ~2 min for 75 Reddit results (estimate)

Try it in 30 seconds. Click Try it — sample Notion mentions, free. Then type your own brand and press Start — your first 25 qualified mentions are free, AI on. → How to use it · What a run costs · Run it weekly

⚡ At a glance

What you get	Reddit mentions of your brand and competitors, best first: relevance, type, sentiment, priority, action, author link, a verbatim quote
You provide	your brand name (e.g. notion), optionally competitors, subreddits and a one-line brand brief
Output	JSON / CSV / Excel dataset, four views, a digest with share of voice and the trend vs last run
Typical run	1 brand × 75 Reddit results → ~25 qualified mentions in ~2 minutes (estimate)
Cost of that run	$0.32 Reddit scraper on your account + $0.00 here (all 25 free) = $0.32
AI tier, all in	≈ $0.011 per mention ($0.009 + ≈ $0.002 tokens with the default model)
Keys / setup	none — Apify's built-in model access, or llmProvider: byok with your own key
Works with	Schedules, e-mail digest, Slack, webhooks, Google Sheets, Zendesk / Linear via n8n, MCP & AI agents

🎯 What this Actor does

It runs Reddit Scraper Lite (trudax/reddit-scraper-lite) — or harshmaur's Reddit Scraper ($0.002 per result, fewer failed runs) — on your account for your brand terms, drops the junk free and hands you only what matters: the one to answer first (priority, an action — reply, route_to_support, route_to_product — and the author's profile link), only new mentions next week, and a digest that opens with "vs last run: complaints 5 → 9".

🔎 Reddit mentions — junk and repeats dropped free

Community / user rows, [deleted], bots, ads, NSFW, your excludeTerms and "the notion of…" hits are dropped before any charge; delivered Reddit ids are remembered, so a repeat run pays only for what is new.

😊 Reddit sentiment analysis and Reddit pain points with a verbatim quote

Type (complaint, pain point, feature request, "alternative to X?"), sentiment and priority — from keyword tables on the basic tier, from the AI reading your brandBrief on the AI tier; evidenceQuote is copied verbatim.

🧭 Reddit posts search and subreddit monitoring

Up to 10 subreddits (empty = all of Reddit); extraSearchTerms (best note taking app) find "what should I use?" threads.

🚀 How to use it

1. Click Try it — the pre-filled sample (9 Notion posts and comments) runs free: 5 qualified mentions.
2. Type your own brandTerms (plus competitorTerms) and a one-line brandBrief — the run switches to the live Reddit posts search by itself (capped by maxDiscoveryChargeUsd, $0.50). The free demo does not search your terms while "Where do the mentions come from?" stays on the sample — typing your brand is the switch.
3. Keep enableAi on and press Start — your 25 free mentions show the AI tier (insight, quote, action).
4. Open the Reply queue, then put your e-mail in notifyEmail and Schedule it weekly — the status message of your first real run links the step.

📚 Learn more: Step-by-step tutorial — Reddit brand monitoring with this Actor

🆚 Why this instead of a Reddit scraper or another monitor?

Against the raw Reddit scrapers (this Actor runs one of them for you):

	Reddit Scraper Lite (trudax/reddit-scraper-lite)	Reddit Scraper (harshmaur/reddit-scraper)	Reddit Brand Monitoring
Price	$0.004 per result + $0.02 per start · 7,362 users / 30 days	$0.002 per result + $0.02 init, AI +$0.0005 per row	from $0.002 per qualified mention, 25 free, no start fee
You pay for	every row, incl. community rows, bots, [deleted]	every row — its AI labels junk too	only mentions that pass your filters
Same 100 mentions, all in	$1.34 for ≈ 330 raw rows — you read 230 off-topic ones	$0.85 for 330 labelled rows, junk included	$1.54 ($1.34 scraper + $0.20) · $2.44 with AI — ranked, typed, deduped
Relevance to your brand	none	none — no brand brief	rule score + AI check against your brief
Repeat runs / failed runs	the same threads again · 12 % fail	the same threads again · 1.7 % fail	only new mentions · pick either scraper; a partial dataset is still qualified

Against the other Reddit brand monitors in the same Store search (their cards, 2026-09-26):

	Reddit Lead Monitor (scrapemint)	Reddit Brand Monitor (deepmine)	Reddit Keyword Monitor (signalengine)	This Actor
Price	$0.015 per match, 2 free per run	$0.005 per result	$0.001 per new match	$0.002 / $0.009 AI per qualified mention, 25 free
Reddit fetched by	itself	itself	itself	a scraper on your plan (+$0.004 a result)
Relevance check vs your brand	keyword + intent class	keyword	keyword	rule score + AI against your brief
Only new mentions	yes	score changes tracked	yes	yes, per monitor
Insight + verbatim quote	—	—	—	yes (AI tier)
Runs, last 30 days	93	28	52	—

A keyword monitor is cheaper per match when every hit is about you; this Actor pays off when your name is a common word ("notion", "linear") or you want the pain point, the quote and the action instead of a raw hit. harshmaur/reddit-search-scraper ($0.0015 per result + $0.02 start) bills every raw hit too; its dataset works here.

Brand24 / Syften / F5Bot alternative? Brand24 sells a multi-network social listening seat (≈ $199/month), Syften keyword alerts (≈ $20/month), F5Bot free e-mail alerts with no relevance check. A weekly 3-term Reddit monitor here costs ≈ $6/month basic or ≈ $9.50 with AI, scraper included — pay per mention, no seat.

💵 Pricing — what a run really costs

Pay per result: one event per qualified mention, nothing else.

Event	When it is charged	Price
free-tier	your first 25 qualified mentions on this Actor	$0.00
qualified-mention-basic	AI off — relevance with reasons, type, sentiment, priority, action	$0.002
qualified-mention-ai	AI on — plus the AI relevance check, insight, verbatim quote, reply draft	$0.009

Never charged: community / user rows, deleted or bot posts, ads, NSFW, off-topic matches, mentions below minScore, unselected types or sentiments, duplicates, mentions from earlier runs, anything beyond maxQualified. No start fee; compute included.

How that compares — $0.002 is 0.86× the Store median ($0.0023 across the 10 Actors a reddit brand monitoring search shows) — cheaper per qualified mention than a raw row there, and only ~30 % of a search is on-topic: one qualified mention replaces ≈ 3.3 raw rows plus the reading.

Worked example — weekly monitor, 3 terms × 100 results: Reddit Scraper Lite $1.22 on your account (300 × $0.004 + $0.02; maxDiscoveryChargeUsd 1.25) → ~90 qualified (estimate) × $0.002 = $0.18 → $1.40 total, $0.016 per qualified mention. AI on: 90 × $0.009 + ≈ $0.18 tokens → $2.21 total, $0.025 per mention.

AI tier, all in: ≈ $0.011 per mention ($0.009 + ≈ $0.002 tokens for ~900 in / 250 out with anthropic/claude-haiku-4.5) — 4.5× the basic price plus tokens, billed via Apify's model access or your own key.

🤖 What the AI tier adds

The same mention, AI off (real output of the sample run):

{"mentionId": "t3_1fq2a7x", "relevanceScore": 90, "ruleScore": 90, "fitScore": null, "score": 90, "label": "hot",
 "mentionType": "alternative_seeking", "sentiment": "mixed", "priority": "high", "suggestedAction": "reply",
 "evidenceQuote": "Looking for an alternative to Notion that works offline", "insight": null, "aiStatus": "off"}

AI on — real output of the AI example (2026-09-26, own Groq key groq:openai/gpt-oss-120b, not yet the default anthropic/claude-haiku-4.5; wording varies by model, fields and grounding do not):

{"mentionId": "t3_1fq2a7x", "relevanceScore": 95, "ruleScore": 90, "fitScore": 95, "score": 95, "label": "hot",
 "mentionType": "alternative_seeking", "sentiment": "mixed", "priority": "high", "suggestedAction": "reply",
 "insight": "User finds Notion slow and unusable offline, wants a tool that works offline with table/database features.",
 "evidenceQuote": "Notion is so slow on my laptop and useless on the train without wifi.",
 "actionReason": "User is actively seeking an offline alternative and the post has high engagement.",
 "competitorsMentioned": ["obsidian"], "aiStatus": "ok"}

The AI says why they are leaving and quotes the proof — what you would otherwise read 37 comments to learn.

⚙️ Input

Type your brand, a one-line brief, keep AI on — everything else has a default.

📤 Output

One dataset item per qualified mention. Dataset views: Shortlist (best first), Reply queue (action, reason, draft, author profile), Pain points & requests (insight + quote) and Competitor mentions (share of voice).

Upsert key for a CRM or Sheet: dedupeKey — built from the Reddit fullname (reddit:t3_1fq2a7x), the key the cross-run memory uses; itemId is its short hash.

A Slack / e-mail-ready DIGEST record sits next to OUTPUT; OUTPUT.digest holds counts, share of voice, themes and trend — the change vs the last run.

⭐ Found it useful? A review on the Store helps others find it — it takes a minute on the Actor's page.

🔁 Run it weekly — Reddit monitoring on a schedule

1. Actions → Schedule (daily or weekly) with your address in notifyEmail — every run with new mentions e-mails you the digest (top 10 with links), no Slack or Zapier needed. Your first real run's status message says the same.
2. Leave dedupeAcrossRuns: true — you pay only for what is new; each monitor (terms + subreddits) keeps its own memory.
3. From run 2 the digest says what changed: "vs last run: mentions 41 → 55, complaints / pain points 5 → 9".

Weekly cost is the new mentions only: 3 terms × 100 results, ~90 new ≈ $1.40 a week basic, ≈ $2.21 with AI.

🎯 Try it for your niche

Niche	What it looks for	Input to paste
SaaS founder	product + 2 competitors in r/SaaS, AI on	docs/img/preset-saas-founder-monitor.json
Community manager	complaints and questions, reply drafts	docs/img/preset-community-reply-queue.json
Product research	pain points and requests, last month	docs/img/preset-product-pain-points.json

Replace the brand, paste it into the form's JSON tab (or save a Task per client).

🔌 Integrations, automation and API

• Google Sheets — import the Sheets template (dedupeKey first for upserts).
• n8n — the docs/img/n8n-weekly-reddit-mentions.json (Sheet + Slack) and the docs/img/n8n-route-to-tickets.json: route_to_support → a Zendesk / HubSpot ticket, route_to_product → a Linear issue, dedupeKey as the external id.
• Webhook, Slack — webhookUrl (payload below), slackWebhookUrl or the Integrations tab.
• AI agents / MCP — plain typed inputs; {} runs the free demo, "sourceMode": "list" qualifies your rows free of scraper cost.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("rich_minds/reddit-brand-monitoring-ai").call(
    run_input={
        "sourceMode": "list",  # free trial: qualify rows you already have — no scraper run
        "brandTerms": ["acme crm"],
        "itemsList": [{"id": "t3_abc123", "dataType": "post", "title": "Acme CRM vs HubSpot?",
                       "url": "https://www.reddit.com/r/sales/comments/abc123/acme_crm_vs_hubspot/"}],
        "maxDiscoveryChargeUsd": 0.5,  # the cap once you switch to "sourceMode": "actor"
    },
    timeout_secs=3600,  # the AI path with your own key can take minutes (FAQ)
    # build="0.2.1",  # pin the build you tested (Builds tab) so a new release never changes your pipeline
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["priority"], item["url"], item["authorUrl"])

Pin a build for production pipelines; leave it out to always get the latest fixes.

Run outcomes — what your integration sees

👥 Who is it for?

You are…	You run it to…	Start with
SaaS founder / marketer	new mentions of your product and competitors each morning	competitorTerms, enableAi, notifyEmail
Community / support manager	the threads that need a reply today, as tickets	alertMinPriority: high, draftReplies, the ticket workflow
Product researcher	Reddit market research: pain points and feature requests with citable quotes	extraSearchTerms, mentionTypes
Agency / AI agent	a weekly report per client brand · "the 20 most relevant mentions of X" as JSON	one Task per client · {"brandTerms": ["x"], "maxQualified": 20}

🧠 How the AI works

• One typed call per mention (post, thread, your brief, the rule baseline in); one more writes the digest themes.
• Grounded — a quote that is not an exact substring is dropped (aiStatus: fallback), competitors must appear verbatim, an off-brand mention is capped at 30.
• Tokens where they matter — the best rule-scored mentions first, every one at or above minScore − 20, up to aiCandidateMultiplier × maxQualified; default model anthropic/claude-haiku-4.5, or llmProvider: "byok".
• A second pass retries rate-limited or unparsable mentions one at a time until 90 % are AI-assessed; a model error never fails the run (rule values kept, the reason in aiCoverage).

🔒 Data, compliance and limits

Public Reddit data only, no login; up to 10 subreddits per run, text ≤ 4,000 characters, the AI works best on English. Respect each subreddit's rules when you reply; use the output within Reddit's terms and GDPR / CCPA.

❓ FAQ

What will my first real search cost? 1 term × maxItemsPerSearch 75 ≈ $0.32 with Reddit Scraper Lite (≈ $0.17 with harshmaur's), capped by maxDiscoveryChargeUsd ($0.50, form and API); ~25 mentions qualify — your 25 free ones.

Is this a Reddit Scraper Lite scraper? It runs Reddit Lite (trudax/reddit-scraper-lite) or harshmaur/reddit-scraper for you, with cost-saving settings; a dataset from either works in dataset mode.

Does it scrape Reddit comments too, like a Reddit comments scraper? Yes — with their thread's title and URL.

Can I use it for Reddit market research? Yes: extraSearchTerms, mentionTypes, timeWindow: month; the Pain points view and OUTPUT.digest are the report.

Can I use it for Reddit keyword alerts? Yes: webhookUrl + alertMinPriority: high POSTs urgent mentions at once, slackWebhookUrl / notifyEmail send the digest; draftReplies (AI) drafts a reply — never posted.

Is it a Brand24, Syften or F5Bot alternative for Reddit? For Reddit, yes: per qualified mention instead of a monthly seat (Brand24 ≈ $199/month, Syften ≈ $20/month), with a relevance check, AI insight and quotes F5Bot's free alerts lack. Those tools also watch other networks; this one does Reddit only.

How long does a run take? The demo: seconds. Live: ~2 min in the scraper per 75 results (estimate; capped by discoveryTimeoutSecs 600). AI, measured on the 5-mention example with a free Gemini key: 138.5 s, 98.6 s of it rate-limit waiting (≈ 8 s per mention of model time; 5 of 5 assessed after the second pass); a key whose daily quota is spent stops the AI at once. Own keys run 2 calls at a time and stop after 2 minutes of rate-limit waiting — worst case ≈ 25 min per 100 mentions, every mention pushed. Pass timeoutSecs 3600 with AI; OUTPUT.timing has the phases.

Which Apify plan do I need? Any plan runs the demo and dataset / list mode; the live search and built-in AI need a plan that can run Store Actors (else a dataset and llmProvider: "byok").

What does "qualified" mean? It names one of your terms, passed every free filter and scored ≥ minScore.

What happens if nothing matches my filters? The run succeeds with 0 rows and charges nothing.

Will I be charged for the same mention twice? No — delivered Reddit ids are remembered on your account.

🧩 More Actors from the same developer

Not quite your use case? The same pay-per-qualified-result model, closest to this Actor's buyers first:

• Google Reviews Analysis AI — reputation management, google reviews analysis: complaints, praise and pain points per business
• LinkedIn Buying Intent Leads — social selling, linkedin account monitoring, linkedin buying intent
• Instagram Influencer Finder — brand safety, instagram, instagram creators
• Facebook Ad Library Winning Ads Finder — facebook ad library winning ads, competitor ads
• YouTube Outlier Videos Finder — youtube outlier videos, youtube competitor analysis

🆘 Support

Open an issue on the Actor's page or message the developer in the Apify Console — buyer requests ship first.

📝 Changelog

One line per published build, newest first — /actor-publish adds it with the commit subject.

• 0.2.3 (2026-09-26) — feat(marketing): 2026-09-26.md — M-01, M-02.

• 0.2.2 (2026-09-26) — fix(review): 2026-09-26-3.md — every finding implemented.

• 0.2.1 (2026-09-26) — fix(review): 2026-09-26.md — every finding implemented.

• 0.2 (2026-09-26) — harshmaur/reddit-scraper as a live source, trend vs last run, first search 75 results, url never null, AI example free, presets, Sheets template, n8n workflow.

• 0.1.1 (2026-09-26) — real handle in the snippets, hosted tutorial and images.

• 0.1 (2026-09-26) — initial release.