# Hotel Price History for One Property, 30 Dates

**Use case:** 

One property, thirty consecutive check-in dates from tomorrow, one night each: a month-long price curve in a single run, every date ranked from cheapest to dearest. Schedule it daily with the relative date and the runs stack into real hotel price history for the Hyatt Regency Lisbon, not a snapshot. Cost: 30 rate rows at $0.004 = at most $0.12 a run.

## Input

```json
{
  "hotels": [
    "https://www.google.com/travel/hotels/entity/ChoI4cjBy-KGurGyARoNL2cvMTFtdnFfdncydhAB"
  ],
  "hotelNames": [],
  "checkIn": "tomorrow",
  "days": 30,
  "nights": 1,
  "adults": 2,
  "childrenAges": [],
  "currency": "EUR",
  "language": "en",
  "country": "pt",
  "maxPrice": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "sessions": 4,
  "perIp": 0.5
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Property",
    "format": "string"
  },
  "check_in": {
    "label": "Check-in",
    "format": "string"
  },
  "check_out": {
    "label": "Check-out",
    "format": "string"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "price": {
    "label": "Lowest nightly",
    "format": "number"
  },
  "total": {
    "label": "Stay total",
    "format": "number"
  },
  "source": {
    "label": "Cheapest source",
    "format": "string"
  },
  "official": {
    "label": "Official site?",
    "format": "boolean"
  },
  "official_price": {
    "label": "Official nightly",
    "format": "number"
  },
  "free_cancellation": {
    "label": "Free cancellation",
    "format": "boolean"
  },
  "n_sources": {
    "label": "Sources",
    "format": "integer"
  },
  "rank_in_window": {
    "label": "Rank",
    "format": "integer"
  },
  "cheapest_in_window": {
    "label": "Cheapest date",
    "format": "boolean"
  },
  "source_url": {
    "label": "Book",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Hotel Price Tracker — Google Hotels Price History & Alerts](https://apify.com/kestrel/hotel-price-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/hotel-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/kestrel/hotel-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`).