# Restaurant Google Reviews — Risk Flags & Reply Drafts

**Use case:** 

Pull recent Google Maps reviews for a restaurant with sentiment, topic, urgency and a health/safety/legal risk flag, plus a suggested reply for each. Export to CSV or JSON.

## Input

```json
{
  "businesses": [
    "Joe's Pizza, New York"
  ],
  "maxReviews": 30,
  "onlyNeedsAttention": false,
  "replyTone": "warm",
  "aiModel": "gpt-4o-mini",
  "mapsActorId": "compass/crawler-google-places",
  "notionAllReviews": false
}
```

## Output

```json
{
  "business": {
    "label": "Business"
  },
  "reviewer": {
    "label": "Reviewer"
  },
  "stars": {
    "label": "★"
  },
  "aiUrgency": {
    "label": "Urgency"
  },
  "aiTopic": {
    "label": "Topic"
  },
  "aiRiskFlag": {
    "label": "Risk flag"
  },
  "sentiment": {
    "label": "Sentiment"
  },
  "review": {
    "label": "Review"
  },
  "ownerReplied": {
    "label": "Replied?"
  },
  "needsAttention": {
    "label": "Urgent"
  },
  "suggestedReply": {
    "label": "Suggested reply"
  },
  "publishedAt": {
    "label": "Posted"
  },
  "reviewUrl": {
    "label": "Review url"
  },
  "likesCount": {
    "label": "Likes count"
  },
  "isLocalGuide": {
    "label": "Is local guide"
  },
  "reviewerReviewCount": {
    "label": "Reviewer review count"
  },
  "reviewerUrl": {
    "label": "Reviewer url"
  },
  "ownerReply": {
    "label": "Owner reply"
  },
  "photoCount": {
    "label": "Photo count"
  },
  "aiUrgencyScore": {
    "label": "Ai urgency score"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Maps Reviews + Risk Flags � Reply Drafts, $5/1k](https://apify.com/leadharbor/local-review-booster.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/leadharbor/local-review-booster.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/leadharbor/local-review-booster.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).