# 飞猪城市酒店评分与点评摘要采集

**Use case:** 

输入城市名，发现飞猪上的酒店并获取评分、好评率、点评数量、情感标签与 AI 点评摘要。Discover Fliggy hotels by city with ratings and AI review summaries.

## Input

```json
{
  "mode": "discovery",
  "startUrls": [
    "https://www.fliggy.com/jiudian/detail/810100/10023497",
    "10022949"
  ],
  "searchCities": [
    "上海"
  ],
  "sortBy": "newest",
  "maxReviews": 200,
  "includeReplies": false,
  "maxHotels": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "hotelId": {
    "label": "Hotel ID",
    "format": "integer"
  },
  "hotelName": {
    "label": "Hotel",
    "format": "string"
  },
  "reviewsCount": {
    "label": "Total reviews",
    "format": "integer"
  },
  "hotelStars": {
    "label": "Stars",
    "format": "number"
  },
  "hotelAddress": {
    "label": "Address",
    "format": "string"
  },
  "cityName": {
    "label": "City",
    "format": "string"
  },
  "overallRating": {
    "label": "Rating (/5)",
    "format": "number"
  },
  "positiveRatePct": {
    "label": "Positive %",
    "format": "number"
  },
  "goodRateCount": {
    "label": "Positive",
    "format": "integer"
  },
  "badRateCount": {
    "label": "Negative",
    "format": "integer"
  },
  "aiSummary": {
    "label": "AI summary",
    "format": "string"
  },
  "sentimentTags": {
    "label": "Sentiment tags",
    "format": "array"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "roomCount": {
    "label": "Rooms",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Fliggy Hotel Reviews Scraper - 飞猪 Hotels](https://apify.com/factden/fliggy-hotel-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/factden/fliggy-hotel-reviews-scraper.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/factden/fliggy-hotel-reviews-scraper.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`).