# Weekly prices of the hotels of a city

**Use case:** 

Ten hotels of a city priced on a check-in date every week for eight weeks, with the date-by-date market in the DATE_SUMMARY record: cheapest, median and dearest price and the share of sold-out hotels. Change the city.

## Input

```json
{
  "hotels": [
    "Hilton Batumi"
  ],
  "searchQueries": [
    "hotels in Lisbon"
  ],
  "maxHotelsPerSearch": 10,
  "daysAhead": 7,
  "dates": 8,
  "stepDays": 7,
  "nights": 1,
  "adults": 2,
  "childrenAges": [],
  "currency": "USD",
  "country": "us",
  "language": "en",
  "trackChanges": true,
  "alertDropPercent": 10,
  "alertBelowUsualPercent": 15,
  "includeOffers": true,
  "concurrency": 5,
  "proxy": {
    "useApifyProxy": true
  },
  "dryRun": false
}
```

## Output

```json
{
  "name": {
    "label": "Hotel",
    "format": "text"
  },
  "checkIn": {
    "label": "Check-in",
    "format": "text"
  },
  "dayOfWeek": {
    "label": "Day",
    "format": "text"
  },
  "price": {
    "label": "Lowest price / night",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "cheapestSite": {
    "label": "Cheapest on",
    "format": "text"
  },
  "priceLevel": {
    "label": "Level for the dates",
    "format": "text"
  },
  "typicalLow": {
    "label": "Typical low",
    "format": "number"
  },
  "typicalHigh": {
    "label": "Typical high",
    "format": "number"
  },
  "usualDeltaPercent": {
    "label": "vs usual (%)",
    "format": "number"
  },
  "available": {
    "label": "Priced",
    "format": "boolean"
  },
  "alerts": {
    "label": "Alerts",
    "format": "array"
  },
  "googleUrl": {
    "label": "Google Hotels page",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Hotels Price Tracker: Calendar, Deals & Typical Range Actor is ready to run with the inputs already set for "Weekly prices of the hotels of a city". [Sign up or log in](https://console.apify.com/create-task-from-example/VYoQxuXQAgPsN2XFc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Weekly prices of the hotels of a city" task

The Google Hotels Price Tracker: Calendar, Deals & Typical Range Actor will start running based on the input automatically. You can also change all the input fields, like hotels, searches, and more, to match your specific use case.

### 3. Receive the "Weekly prices of the hotels of a city" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as hotel, check-in, day, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Weekly prices of the hotels of a city" task via API](https://apify.com/aleksandrbooking/google-hotels-price-tracker.md).

## About this Actor

This example demonstrates how to use [Google Hotels Price Tracker: Calendar, Deals & Typical Range](https://apify.com/aleksandrbooking/google-hotels-price-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/aleksandrbooking/google-hotels-price-tracker.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/aleksandrbooking/google-hotels-price-tracker.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`).