Google Reviews Monitor — Multi-Location Alerts & Reports

Google Reviews Monitor — Multi-Location Alerts & Reports

Monitor Google Maps reviews across all your business locations on a schedule, and get only the new and changed reviews — with negative-review, rating-drop, and unanswered-review alerts pushed to Slack or any webhook.

Instead of opening every Google Business Profile by hand, you point this actor at your locations, run it on a schedule, and it returns just the reviews that are new or changed since the last run. It flags low-star reviews, detects rating drops, and (optionally) drafts replies with an AI model so your team can respond fast.

What it does

• Watches many locations at once. Give it a list of Google Maps locations and it checks each one per run.
• Returns only-new deltas. With onlyNewSinceLastRun on, you get the reviews that appeared or changed since the previous run — not the whole history every time.
• Alerts on what matters. Fire alerts on any new review, on negative reviews below a rating threshold you set, and on detected rating drops. Track whether the owner has replied so you can surface unanswered reviews.
• Drafts replies (optional). Generate an AI summary of recent sentiment and per-review reply drafts using your own Anthropic or OpenAI key.
• Delivers where you work. Push results and alerts to Slack or any webhook URL, and optionally generate a weekly report.

Output is plain JSON in the run's dataset, so it drops straight into a sheet, a dashboard, Slack, or your own automation.

> A note on reliability. This actor scrapes Google Maps, which actively fights automated access. It's a best-effort tool: most locations check cleanly, but a run can slow down or time out on heavy location lists or during anti-bot throttling. Start small, use proxies, and schedule with headroom rather than expecting instant results on hundreds of locations.

Who it's for

• Local businesses that want to know the moment a new or bad review lands — without checking the dashboard daily.
• Multi-location brands (franchises, chains, clinic groups) tracking review flow across every storefront in one place.
• Marketing and reputation agencies managing Google Business Profiles for clients, who need to catch negative reviews fast, prove they're watching, and reply on time.

If you live in a code editor, you'll like the JSON output and webhook hooks. If you live in spreadsheets and Slack, you'll like the alerts and reports. Both work.

Quick start

Run the monitor (Apify Console)

1. Open the actor and click Try for free. 2. Paste your locations and pick your alert options (see Input below). A minimal run:

{
  "locations": [
    "https://www.google.com/maps/place/?q=place_id:ChIJN1t_tDeuEmsRUsoyG83frY4"
  ],
  "maxReviewsPerRun": 50,
  "onlyNewSinceLastRun": true,
  "alertOnNegativeReviews": true,
  "negativeRatingThreshold": 3,
  "proxyConfiguration": { "useApifyProxy": true }
}

3. Click Start. New reviews land in the dataset; alerts go to your webhook if set. 4. Open Schedules and add the actor (e.g. every morning) so it keeps watching.

Connect it to Claude, Cursor, or ChatGPT (MCP)

This actor is available through the Apify MCP server, so an AI assistant can run it for you and read the results. Use the verified streamable-HTTP endpoint:

https://mcp.apify.com/?actors=dami_studio/google-reviews-monitor

Add it as a remote MCP server in your client. Example config (Claude Desktop / Cursor mcp.json):

{
  "mcpServers": {
    "google-reviews-monitor": {
      "url": "https://mcp.apify.com/?actors=dami_studio/google-reviews-monitor",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

Replace <APIFY_TOKEN> with your token from Apify (Settings → API & Integrations). On first connect you can also authorize via OAuth in the browser instead of pasting a token. Once connected, ask your assistant something like *"check my Google reviews for new negative ones since yesterday"* and it will call the actor and summarize the result.

Input

• locations — list of Google Maps places to watch (place URLs / place IDs).
• maxReviewsPerRun — cap on reviews pulled per run, to control cost and time.
• onlyNewSinceLastRun — return only reviews new/changed since the previous run.
• alertOnNewReviews — alert on every new review, not just negative ones.
• alertOnNegativeReviews — alert when a review is below your threshold.
• negativeRatingThreshold — star rating at/below which a review counts as negative (e.g. 3).
• trackOwnerReplies — record whether the owner has replied, to surface unanswered reviews.
• detectRatingDrops — flag when a location's overall rating falls.
• generateAiSummary — produce an AI summary of recent reviews.
• generateReplyDrafts — draft a reply for each review.
• aiModel / anthropicApiKey / openaiApiKey — pick the model and bring your own key for AI features.
• weeklyReport — generate a periodic summary report.
• webhookUrl — Slack or generic webhook to receive alerts and results.
• proxyConfiguration — proxy settings (recommended: Apify Proxy on).

Output

Each result is a review object in the run's dataset. A row looks roughly like:

{
  "location": "Acme Coffee — Downtown",
  "placeId": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "reviewId": "Ci9DQ...",
  "rating": 2,
  "text": "Waited 25 minutes for a cold latte.",
  "reviewerName": "Jamie R.",
  "publishedAt": "2026-06-21T14:03:00Z",
  "isNew": true,
  "isNegative": true,
  "ownerReplied": false,
  "ratingDropDetected": false,
  "aiSummary": "Recent reviews cite slow service at the downtown location.",
  "replyDraft": "Hi Jamie, we're sorry about the wait..."
}

Fields like aiSummary and replyDraft only appear when you enable the AI options. Alerts contain the same data, formatted for Slack/webhook delivery.

Example use cases

• Monitor Google reviews for a single restaurant
• Send negative-review alerts for agency clients
• Draft AI replies to negative reviews
• Pull the full review history for one business

Pricing

Pay per event — you're charged only for what a run actually does:

AI features use your own Anthropic or OpenAI API key, so model usage is billed by that provider separately. Apify platform usage (compute, proxy) applies per your Apify plan.

FAQ

Does this work across multiple locations? Yes — that's the point. Pass many locations in locations and each is checked per run, so a franchise or agency can watch every storefront from one schedule.

How do I get only new reviews instead of the whole history? Turn on onlyNewSinceLastRun. After the first baseline run, you'll receive only reviews that are new or changed since the previous run.

Can it alert me on Slack when a bad review comes in? Yes. Set alertOnNegativeReviews, choose your negativeRatingThreshold, and put a Slack incoming-webhook URL in webhookUrl. Any generic webhook works too.

Do I need an API key for the AI replies and summaries? Only if you enable them. generateAiSummary and generateReplyDrafts use your own Anthropic or OpenAI key. Core monitoring and alerts work without any AI key.

How reliable is it? It's best-effort. Google Maps actively blocks scrapers, so large location lists can slow down or time out. Use Apify Proxy, keep maxReviewsPerRun sensible, and schedule with headroom. For a handful of locations on a daily cadence, it's dependable; for hundreds at once, expect to tune.

Can an AI assistant run this for me? Yes. Connect it through the Apify MCP server (see Quick start) and Claude, Cursor, or another MCP client can trigger runs and read the results directly.