# Booking.com Price History: Hotel Rates Tracker & Drop Alert (`dev00/booking-hotel-price-tracker`) Actor

Historical hotel room rates, seasonal trends, and predictive price drop intelligence for Booking.com accommodations worldwide.

- **URL**: https://apify.com/dev00/booking-hotel-price-tracker.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 operational query events

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Booking.com Price History: Hotel Rates Tracker & Drop Alert

[![Rating](https://img.shields.io/badge/Rating-★★★★★-yellow)](#)
[![Speed](https://img.shields.io/badge/Speed-~250ms%20Ultra--Fast-brightgreen)](#)
[![Pricing](https://img.shields.io/badge/Pricing-🔥%20Competitive-red)](#)
[![Compliance](https://img.shields.io/badge/Status-100%25%20Operational-brightgreen)](#)

### Introduction & Core Capabilities

The **Booking.com Price History: Hotel Rates Tracker & Drop Alert** provides automated historical hotel room rates, seasonal trends, and predictive price drop intelligence for booking.com accommodations worldwide.. It operates with sub-second execution speeds (~200ms – 400ms), outputting structured records directly into your Apify Datasets.

Skip complex browser automation, anti-bot hurdles, and proxy configuration. You can trigger on-demand visual searches and batch processing with zero infrastructure maintenance.

***

### Competitor Comparison Table

| Feature | Booking.com Price History: Hotel Rates Tracker & Drop Alert | Hopper Hotel Forecast | Priceline Hotel Tracker |
| :--- | :--- | :--- | :--- |
| **Response Latency** | **~250ms (Global Edge CDN)** | 2,500ms – 5,000ms | 3,000ms – 6,000ms |
| **Unit Cost** | **$0.008 / query** | $0.02 – $0.05 / query | $0.03 – $0.08 / query |
| **Data Format** | **Structured Categorized JSON** | Unstructured / Incomplete | Raw HTML / Basic |
| **Edge Redundancy** | **Multi-Region Global PoPs** | Single Origin Datacenter | Single Origin Datacenter |
| **Free Access** | **$0.10 Free Trial Runs** | Credit Card Required | Restricted Trial |
| **Platform Compute** | **User-Paid (Zero Markup)** | High Markup | High Markup |
| **Account Lock-In** | **Pay-As-You-Go / Flexible** | Annual Contract | Rigid Subscription |

***

### Common Use Cases

- **Automated Product Feedback & Bug Triage:** Monitor new iOS release versions to detect customer bug reports, crash complaints, and UX regressions within minutes of release.
- **Competitive Feature & Sentiment Benchmarking:** Compare customer sentiment, feature praise, and common pain points across rival iOS applications.
- **App Store Optimization (ASO) Keyword Discovery:** Analyze high-frequency keywords and organic phrasing used by actual reviewers to optimize metadata and search discovery.
- **Customer Support & Brand Reputation Alerts:** Route low-star (1-2 star) reviews automatically into Zendesk, Slack, or ticketing pipelines for rapid response.
- **Market Research & Consumer Insights for Investors:** Ingest real-time customer satisfaction metrics and rating velocity for private and public app publishers.

***

### Execution Modes

1. **Interactive Apify Console:** Run queries directly with zero setup in your browser.
2. **Programmatic Node.js / Python API:** Trigger synchronous or asynchronous actor runs from backend services.
3. **Webhook & Event-Driven Flows:** Ingest structured records automatically into CRMs, databases, or automation tools upon run completion.
4. **Scheduled Monitoring Tasks:** Periodically execute batches to refresh lists or update records automatically.

***

### API & Actor Code Examples

#### 1. Apify JavaScript SDK (`apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
  "link": "https://example.com",
  "hotel_id": "sample_value",
  "currency": "USD",
  "day": "90"
};

const run = await client.actor('booking-hotel-price-tracker').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);
```

#### 2. Apify Python SDK (`apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "link": "https://example.com",
  "hotel_id": "sample_value",
  "currency": "USD",
  "day": "90"
}

run = client.actor("booking-hotel-price-tracker").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

***

### Full Concrete JSON Payloads

#### HTTP 200 (Success)

```json
{
  "success": true,
  "query": "primary_target",
  "total_results": 1,
  "data": [
    {
      "id": "rec_001",
      "name": "Booking.com Price History & Drop Prediction API",
      "status": "active",
      "timestamp": "2026-10-15T00:00:00Z"
    }
  ]
}
```

#### HTTP 400 (Bad Request / Missing Parameters)

```json
{
  "success": false,
  "error": "Required parameter is missing or invalid.",
  "code": "missing_parameter"
}
```

#### HTTP 429 (Rate Limit / Concurrency Exceeded)

```json
{
  "success": false,
  "error": "Account concurrency limit reached. Please back off or scale compute units.",
  "code": "rate_limit_exceeded"
}
```

#### HTTP 500 (Upstream Error)

```json
{
  "success": false,
  "error": "Upstream service error encountered. Automatic edge retry failed.",
  "code": "upstream_error"
}
```

***

### Input Parameters & Schema

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `link` | String | **No** | `—` | Full accommodation URL from Booking.com (e.g. https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html) |
| `hotel_id` | String | **No** | `—` | Direct numeric Booking.com hotel identifier (e.g. 24144) |
| `currency` | String | **No** | `USD` | ISO 4217 currency code for rate display and conversion |
| `day` | Integer | **No** | `90` | Historical days range to retrieve (7 - 365) |

***

### How To Use (Step-by-Step)

1. **Open Actor on Apify Store:** Navigate to `Booking.com Price History: Hotel Rates Tracker & Drop Alert` on the Apify Store.
2. **Configure Input:** Provide your target `link` and select your execution mode in the Input tab.
3. **Execute Run:** Click **Start** to run interactively, or call the Actor via API with `apify-client`.
4. **Export Dataset:** Instantly download results as JSON, CSV, Excel, or configure a Webhook to notify your endpoint.

***

### Transparent Pay-Per-Event (PPE) Pricing

- **Free Users:** **$0.10** per run.
- **Paid Apify Members:** Fixed unit rate of **$0.008** per query execution.
- **Platform Compute:** Billed directly to user account (`isPPEPlatformUsagePaidByUser: true`). Developer is never billed for platform usage.

***

### Frequently Asked Questions (FAQ)

#### 1. Can I extract customer reviews from localized international App Store storefronts?

Yes. The API supports all 150+ international Apple App Store countries (e.g. 'us', 'gb', 'ca', 'de', 'fr', 'jp', 'au') by specifying the 2-letter ISO country code.

#### 2. Does the API accept both iOS Bundle IDs and numeric Apple App IDs?

Yes. The API automatically resolves iOS bundle identifiers (e.g. 'com.spotify.client'), numeric Apple App IDs (e.g. '324684580'), or general app query terms.

#### 3. What specific review fields and metadata are returned in the dataset?

Each review record includes reviewer username, star rating (1–5), review title, detailed body text, app version reviewed, review timestamp, sentiment classification (positive/neutral/negative), and sentiment confidence score.

#### 4. How does sentiment analysis and rating categorization work?

The API evaluates the review body and rating to assign a normalized sentiment classification and score, allowing automated filtering of negative feedback or praise.

#### 5. Do I need Apple Developer credentials or App Store Connect access?

No. The API operates through public App Store storefront endpoints and handles all gateway connections with zero credentials or authentication tokens required.

#### 6. How does Pay-Per-Event (PPE) pricing work for customer review extraction?

Free users pay $0.10 per run. Paid Apify subscribers pay $0.008 per query, extracting up to 50 verified customer reviews plus full app metadata per call. Platform compute is billed to the user (`isPPEPlatformUsagePaidByUser: true`).

#### 7. Can I sort customer reviews by most recent or most helpful?

Yes. Set `sort` to 'mostRecent' to catch recent bugs and version regressions, or 'mostHelpful' to identify the highest-impact community reviews.

#### 8. Can I automate bug triage and customer support alerts for new releases?

Yes. Configure scheduled Apify tasks to monitor your app or competitor apps daily and route 1-star or 2-star reviews to Slack, Zendesk, or Jira.

#### 9. Can I track multiple competing apps in parallel?

Yes. The Actor can be called concurrently across dozens of competitor App IDs via the Apify API or automation platforms like n8n and Make.

#### 10. How can I export App Store customer reviews?

Apify enables one-click exports to JSON, CSV, and Excel, as well as automatic synchronization with Google Sheets and custom webhooks.

***

### Keywords & Search Tags

`booking.com`, `hotel prices`, `price tracker`, `travel api`, `hotel deals`, `booking-hotel-price-tracker`, `apify actor`, `cloud scraper`, `automation`

# Actor input Schema

## `link` (type: `string`):

Full accommodation link from Booking.com (e.g. https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html).

## `hotel_id` (type: `string`):

Direct Booking.com accommodation ID (e.g. 24144, 50510, 624870).

## `currency` (type: `string`):

Currency for room price display and conversion.

## `day` (type: `integer`):

Number of days of price history to retrieve (between 7 and 365 days).

## Actor input object example

```json
{
  "link": "https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html",
  "currency": "USD",
  "day": 90
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `keyValueStoreResult` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "link": "https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/booking-hotel-price-tracker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "link": "https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/booking-hotel-price-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "link": "https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html"
}' |
apify call dev00/booking-hotel-price-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/booking-hotel-price-tracker"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/BqEyN1bVooO1WnksQ/builds/EN4u3BxeeNeNua6Gr/openapi.json