Review Radar — Google Maps review monitoring with AI urgency alerts

Monitor Google Maps reviews for any business, get alerted on every new review via Slack, and let a built-in AI classifier separate what can wait from what needs an answer now. Review Radar watches your own locations or your competitors', keeps state between runs (no duplicate alerts), and ships every review as structured JSON. Built for local businesses, agencies, reputation managers and AI agents that watch reputations.

Use this tool when…

• You run a local business and a bad review can cost you real customers if it sits unanswered for a week.
• You're an agency managing reputation for dozens of local clients and need one watchtower.
• You want to spy on competitor reviews to learn what customers hate about them (and love about you).
• Your AI agent needs a review feed — via the Apify MCP server, Claude/GPT/Cursor/n8n can call it with zero glue code.

Features

• New-review detection with persistent state: a named key-value store tracks what you've already seen — only genuinely new reviews alert.
• Slack alerts, critical-first: urgent reviews are pushed to the top with a 🔥 prefix.
• AI urgency classification: a Bayesian classifier (trained on FR/EN review text) scores each review urgency + urgencyConfidence, with abstention on uncertain cases — no false critical alerts on 5★ reviews.
• Any business on Google Maps: watch by search query ("restaurant Esch-sur-Alzette") or canonical Maps URL.
• Rich review data: author, rating, text, relative date, review ID, owner response status.
• Structured JSON output per review and per run summary.
• AI-agent ready: README and input schema readable by LLMs through MCP.

Use cases

Reputation defense for local businesses

A 1★ review lands at 21:40 — you know at 21:41 and answer before it festers, while 4-5★ reviews queue quietly.

Agency review management

Point it at every client location on a schedule; the classifier triages so your team only touches what matters.

Competitor intelligence

Learn from competitors' negative reviews: recurring complaints are your sales pitch, written by their customers.

Voice-of-customer pipelines

Feed classified reviews into dashboards or LLM summaries per location, per week.

Input

Field	Type	Required	Description	Example
query	string	yes (or URL)	Business search on Google Maps	"La Maison Lefèvre Esch"
placeUrl	string	yes (or query)	Canonical Google Maps URL of the place	"https://maps.google.com/...!1s..."
maxReviews	integer	no	Max reviews to scan per run	20
slackWebhookUrl	string	no	Slack webhook for alerts	"https://hooks.slack.com/..."
dryRun	boolean	no	Full pipeline without billing events	true

{
  "query": "restaurant Esch-sur-Alzette",
  "maxReviews": 20,
  "slackWebhookUrl": "https://hooks.slack.com/services/XXX"
}

Output

Per review: reviewId, author, rating, text, relativeDate, urgency, urgencyConfidence, isNew, ownerResponded. Plus a run summary with counts (new, critical, standard).

Pricing (pay per event)

Event	Price
run-started	$0.25
new-review-detected	$0.01 per new review
slack-alert-sent	$0.05 per alert

No subscription. Platform margin: Apify takes 20%. dryRun: true runs the full pipeline free. Tiered Apify plans (Bronze/Silver/Gold) get progressively lower prices.

Agentic payments (x402 / USDC)

This actor supports x402 agentic payments: AI agents without an Apify account can call it and pay per call in USDC on Base — verified live.

FAQ

Does it re-alert on old reviews? No — state persists between runs, so only new reviews trigger alerts.

How smart is the urgency filter? It abstains instead of guessing: borderline reviews are marked "standard" rather than crying wolf (tested: zero false critical on 5★ corpus).

Can I watch several businesses? Yes — one run per business, scheduled on Apify.

Does it work with Claude, Cursor, GPT or n8n? Yes, via the Apify MCP server.

More tools from this toolbox

• Google Maps Business Scraper
• Review Pitch Generator
• Full toolbox: apify.com/travelmonitorlab

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Built and maintained by Adaga solutions — full-stack & AI agents in production, Luxembourg.