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 + ≈ $0.002 AI tokens with AI assessment, on plans with model access or your key · ⏱️ demo in seconds

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 Bring your own data: rows in itemsList or a dataset ID in datasetId — you pay only for the analysis, no scraper run.

⚡ 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	Plan with Apify model access: no key · Other plans: your first 5 real mentions get live AI verdicts on us, then your own key — free Gemini / Groq = 1–3 AI verdicts per run, paid = every mention
Which plan	Free demo and your own list (list mode, template): any plan · live search: a plan that runs Store Actors
Works with	Schedules, e-mail digest, Slack, Teams, Google Chat, Discord, Telegram, webhooks, Google Sheets, n8n, MCP & AI agents

🎯 What this Actor does

It runs Reddit Scraper Lite (trudax/reddit-scraper-lite) — or harshmaur's Reddit Scraper — on your account for your brand terms, drops the junk free and hands you the one to answer first (priority, an action 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

[deleted], bots, ads, NSFW, your excludeTerms and "the notion of…" hits are dropped before any charge; 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 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 — your brand replaces the sample and starts the live Reddit posts search (capped by maxDiscoveryChargeUsd, $0.50).
3. Keep enableAi on and press Start — your first 5 mentions get live AI verdicts on any plan; all 25 free ones with Apify model access or a paid own key (which AI your plan gets).
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
Your time per 100 mentions	≈ 6.7 h — find them in 330 rows, then 4 min each by hand	≈ 6.7 h — the same triage	≈ 0 h with AI — ranked, typed, quoted
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	same threads again · 12 % fail	same threads again · 1.7 % fail	only new mentions · partial runs still used

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)

A keyword monitor is cheaper when every hit is about you; this one pays off when your name is a common word ("notion").

Brand24 / Syften / F5Bot alternative? Brand24 ≈ $199/month, Syften ≈ $20/month, F5Bot free alerts with no relevance check — a weekly 3-term Reddit monitor here ≈ $6/month basic or ≈ $9.50 with AI, scraper included.

🧺 Already scraping Reddit? Qualify your Reddit scraper data

Run Reddit Scraper Lite or harshmaur's Reddit Scraper yourself? Point this Actor at that dataset (sourceMode dataset, datasetId) — no second scrape, you pay only per qualified mention; the recipe is under Integrations.

💵 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 (local own-key run 2026-10-17 with the own-key default model, 1,573 input / 210 output tokens per mention; wording varies by model, fields and grounding do not):

{"mentionId": "t3_1fq2a7x", "relevanceScore": 100, "ruleScore": 90, "fitScore": 100, "score": 100, "label": "hot",
 "mentionType": "alternative_seeking", "sentiment": "mixed", "priority": "high", "suggestedAction": "reply",
 "insight": "User loves the databases but wants an alternative to Notion that is faster, works offline, and keeps good tables (tried Obsidian but missed tables).",
 "evidenceQuote": "What are you all using instead of Notion in 2026?",
 "actionReason": "High-engagement post seeking an alternative due to offline/speed issues and table preferences.",
 "competitorsMentioned": ["obsidian"], "aiStatus": "ok", "aiModel": "google:gemini-3.5-flash-lite"}

The AI says why they are leaving and quotes the proof — ≈ 4 min of triage per mention by hand (an estimate: open the thread, judge relevance and sentiment, copy the quote). Without model access the demo shows aiModel: sample verdicts.

⚙️ 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.

Next to OUTPUT: the DIGEST (Slack / e-mail ready) and the REPORT page; OUTPUT.digest holds counts, share of voice, themes and trend.

⭐ 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"; the REPORT page (a link to forward) adds the monitor's history run by run.

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

🗂️ A running log, and threads that come back

historyDatasetName (e.g. acme-reddit-log) appends every run's new mentions to one named dataset — a log across months for Sheets (tracker sheet). dedupeTtlDays (0 = never) delivers — and charges — a thread again after N days.

🎯 Try it for your niche

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

• After your own scraper — on your trudax/reddit-scraper-lite or harshmaur/reddit-scraper task: Integrations → Run succeeded → this Actor with {"sourceMode": "dataset", "brandTerms": ["acme crm"], "enableAi": false} and datasetId = the finished run's resource.defaultDatasetId — rules only, no second scrape.
• Google Sheets — import the Sheets template (dedupeKey first for upserts).
• n8n — the weekly workflow (Sheet + Slack) and the ticket workflow: route_to_support → a Zendesk / HubSpot ticket, route_to_product → a Linear issue, dedupeKey as the external id.
• Webhook, Slack, Teams — webhookUrl (payload below; webhookSecret signs each POST with X-Signature: sha256=<HMAC of the body>), slackWebhookUrl, the API-only Teams / Google Chat / Discord / Telegram fields, or the Integrations tab.
• AI agents / MCP — plain typed inputs; {} runs the free demo, "sourceMode": "list" qualifies your rows free of scraper cost.

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 top 20 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); 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; reply drafts claim nothing your brief does not say.
• Tokens where they matter — mentions at or above minScore − 20, best first, up to aiCandidateMultiplier × maxQualified; default model anthropic/claude-haiku-4.5, or llmProvider: "byok". A second pass retries rate-limited mentions one at a time; a model error never fails the run (the reason is in aiCoverage).

🔒 Data, compliance and limits

Public Reddit data only, no login; up to 10 subreddits per run, text ≤ 4,000 characters, AI best in 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 × 75 results ≈ $0.32 with Reddit Scraper Lite, capped by maxDiscoveryChargeUsd ($0.50); ~25 mentions qualify — your 25 free ones.

Is this a Reddit Scraper Lite scraper? It runs Reddit Lite or harshmaur's 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 and the Pain points view.

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

Is it a Brand24, Syften or F5Bot alternative for Reddit? For Reddit, yes — per mention instead of a seat, with the relevance check and quotes F5Bot's free alerts lack; those tools also watch other networks.

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 quota never answers stops the AI after 20 s, an own key after 60 s of waiting in all — every mention still pushed. Pass timeoutSecs 3600 with AI; OUTPUT.timing has the phases.

Which Apify plan do I need? Any plan runs the demo and list / dataset mode; the live search needs a plan that runs Store Actors. The AI on your plan: At a glance.

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. Adding a competitor keeps the monitor's memory; another brand or another set of type filters gets its own list, and a mention already paid for there is delivered as already-charged, never billed twice. dedupeTtlDays lets one come back.

🧩 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:

• Threads Brand Monitoring — the same brand terms on Threads: every new post about you, the one to answer first.
• Google Reviews Analysis AI — the complaints and pain points in your Google reviews, next to the Reddit ones.
• Website Change Monitor — know when the competitors your Reddit users compare you with change their pricing or pages.
• Twitter Lead Generation — people on X asking for a tool like yours, ready to answer.
• Instagram Competitor Content — what your competitors post that wins, every week.

🆘 Support

Open an issue on the Actor's page — buyer requests ship first.

📝 Changelog

Newest first.

• 0.2.6 (2026-10-17) — Typing only your brand next to the sample now always runs your search: a leftover demo brand description is set aside and named in the status instead of stopping the run; The free demo now shows labelled sample AI verdicts on any plan, and on a plan without model access your first 5 real mentions get live AI verdicts on us; New: a forwardable report page with the monitor's history, a signed webhook option, a running log across runs, digests to Teams, Google Chat, Discord and Telegram, and an alert when Reddit's scraper changes its format instead of a silent empty run.
• 0.2.5 (2026-10-04) — Bring your own data: rows in itemsList or a datasetId pick their mode, start no scraper and are charged only for the analysis; unread fields are listed in the log.
• 0.2.1–0.2.4 (2026-09-26 – 10-04) — review and listing fixes: clearer statuses, the AI coverage per run, the comparison and the FAQ.
• 0.2 (2026-09-26) — harshmaur's scraper as a source, trend vs last run, presets, Sheets template, n8n workflow.
• 0.1–0.1.1 (2026-09-26) — initial release.