# Booking \[Just 💰$1] — Reviews by Hotel or Destination (`blackfalcondata/booking-reviews-scraper`) Actor

💰 $1 per 1,000 reviews. Scrape Booking.com guest reviews by hotel URL or destination. Each record carries the full review text and star rating. Incremental mode returns only new and changed reviews since the last run; owner replies and guest photos included when present.

- **URL**: https://apify.com/blackfalcondata/booking-reviews-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Travel, Lead generation, Automation
- **Stats:** 3 total users, 2 monthly users, 70.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Booking do?

Booking Reviews Scraper extracts structured guest reviews from [booking.com](https://booking.com) — star rating, positive and negative review text, owner replies, guest photos, room type and stay dates, one row per review. Point it at hotel URLs or a destination, cap reviews per hotel, and run incrementally so recurring runs return only new and changed reviews.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctaplain) and use the included $5 monthly platform credit to test this actor.

### Key features

- **🏨 Hotel URL or destination** — scrape reviews two ways: paste booking.com hotel URLs (`/hotel/{cc}/{slug}.html`) straight from your browser, or give a destination (e.g. "Amsterdam") and the scraper resolves its top hotels and pulls their reviews. Results dedupe by review ID.
- **💬 Owner replies & guest photos** — every review carries the full guest text and rating plus owner replies and guest photos when present — the reputation-monitoring fields most competitors drop.
- **♻️ Incremental mode** — recurring runs emit only listings whose ratings, reviews, or metadata changed — track reputation movement over time without re-processing the universe. Saves 80–95% on monitoring runs.
- **📦 Compact mode** — compact mode — core fields only, ideal when you're feeding an LLM or building a comparison sheet across many companies.
- **🧹 Empty-field stripping** — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
- **📌 Change classification** — each record carries a `changeType` of NEW / UPDATED / UNCHANGED. Default emits NEW + UPDATED; opt into UNCHANGED with `emitUnchanged`.
- **📤 Export anywhere** — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
- **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

### What data can you extract from booking.com?

Each result includes Core review fields (`reviewId`, `hotelId`, `hotelName`, `hotelUrl`, `hotelCountryCode`, `reviewScore`, `title`, and `positiveText`, and more). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

### Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`hotelUrls`** — Booking.com hotel page URLs (e.g. https://www.booking.com/hotel/nl/estherea.html). Each hotel's reviews are scraped. Use this OR Destination. (default: `[]`)
- **`destination`** — City or area name (e.g. "Amsterdam"). Scrapes reviews for its top hotels. Use this OR Hotel URLs.
- **`maxHotels`** — In Destination mode: maximum number of hotels to scrape (0 = unlimited). Ignored in Hotel-URL mode. (default: `10`)
- **`sorter`** — How to order reviews before scraping. (default: `"MOST_RELEVANT"`)
- **`maxReviewsPerHotel`** — Maximum reviews to scrape per hotel (0 = all). (default: `0`)
- **`reviewLanguage`** — Optional. Keep only reviews written in this language (ISO code, e.g. "en"). Leave empty for all languages.
- **`incrementalMode`** — Only emit reviews that are new or changed since the previous run for the same inputs. stateKey is optional — it is derived automatically from the hotels/destination, sort order, and language. (default: `false`)
- **`stateKey`** — Optional. Stable identifier for the tracked review universe. Leave empty to auto-generate from inputs.
- **`emitUnchanged`** — When incremental, also emit reviews already seen and unchanged. Off by default. (default: `false`)
- **`compact`** — Core fields only (for AI-agent/MCP workflows). (default: `false`)
- **`excludeEmptyFields`** — Drop null, empty-string, and empty-array fields from each record. Smaller payloads for AI agents and dashboards. (default: `false`)
- **`appConnector`** — Optional. Pick a connected app under Settings → API & Integrations to receive your results. Best-effort across MCP connectors as Apify expands its catalog.
- ...and 18 more parameters

### Input examples

**Basic search** — Targeted run scoped to a specific hotelUrls.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "hotelUrls": [
    "https://www.booking.com/hotel/nl/estherea.html"
  ],
  "maxResults": 50
}
```

**Incremental tracking** — Only emit reviews that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.

```json
{
  "hotelUrls": [
    "https://www.booking.com/hotel/nl/estherea.html"
  ],
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "booking-tracker"
}
```

**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

```json
{
  "hotelUrls": [
    "https://www.booking.com/hotel/nl/estherea.html"
  ],
  "maxResults": 50,
  "compact": true
}
```

### Output

Each run produces a dataset of structured review records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example review record

```json
{
  "reviewId": "4f4cb5f2a4b8f650",
  "hotelId": 10427,
  "hotelName": "The Highlander Amsterdam",
  "hotelUrl": "https://www.booking.com/hotel/nl/citadel.html",
  "hotelCountryCode": "nl",
  "reviewScore": 7,
  "positiveText": "I have many positive things to say about the hotel, and overall we enjoyed our stay. The staff were welcoming, friendly, and always willing to help. We also really appreciated the complimentary snacks...",
  "negativeText": "There were, however, a few issues that affected our comfort:\n\n* The shower soap was very watery.\n* One of the towels was very old and torn.\n* The biggest issue was the stairs, which made it very diffi...",
  "reviewLanguage": "en",
  "reviewedDate": "2026-07-18T06:49:44.000Z",
  "guestName": "Mashael",
  "guestCountryCode": "sa",
  "guestCountryName": "Saudi Arabia",
  "guestType": "Solo traveler",
  "guestReviewCount": 5,
  "roomType": "Standard Double/Queen Room",
  "checkinDate": "2026-07-09",
  "checkoutDate": "2026-07-13",
  "numNights": 4,
  "stayStatus": "stayed",
  "helpfulVotesCount": 0,
  "photoUrls": [
    "https://q-xx.bstatic.com/xdata/images/xphoto/max1280x900/709020688.jpg?k=339ff12b30cbd3551e7c8c28622bf5747b844a3d822b57296ad165da27485f10&o="
  ],
  "isAnonymous": false,
  "source": "booking.com",
  "scrapedAt": "2026-07-18T21:02:21.410Z"
}
```

### Incremental fields

When incremental mode is on, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`. Reviews are rarely removed from Booking.com (deletion is rare moderation, not a routine lifecycle event), and `maxReviewsPerHotel` / `reviewLanguage` mean a given run only fetches a bounded slice of a hotel's reviews — so a review missing from one run's slice can't be told apart from one that was merely outside this run's cap or language filter. This actor tracks new and changed reviews but never claims one is gone for good. Default output covers `NEW` / `UPDATED`; set `emitUnchanged: true` to opt into `UNCHANGED`.

### How to scrape booking.com

1. Go to [Booking](https://apify.com/blackfalcondata/booking-reviews-scraper?fpr=1h3gvi) in Apify Console.
2. Configure the input.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract review data from booking.com for market research and competitive analysis.
- Monitor new and changed reviews on scheduled runs without processing the full dataset every time.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
- Benchmark reputation and guest satisfaction using rating and review fields.

### How much does it cost to scrape booking.com?

Booking uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.001 per review record

Example costs:

- 10 results: **$0.015**
- 25 results: **$0.03**
- 100 results: **$0.11**
- 200 results: **$0.21**
- 500 results: **$0.51**

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of reviews that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 reviews per run, daily polling (30 runs/month). Costs scale linearly with the number of reviews.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.11 | $0.01 | $0.10 (90%) | $0.30 |
| 15% — moderate broad query | $0.11 | $0.02 | $0.09 (81%) | $0.60 |
| 30% — high-volume aggregator | $0.11 | $0.03 | $0.07 (67%) | $1.05 |

Full re-scrape monthly cost at the same cadence: $3.15. First month with incremental costs $0.40 / $0.68 / $1.12 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

### FAQ

#### How many results can I get from booking.com?

The number of results depends on the search query and available reviews on booking.com. Use the `maxResults` parameter to control how many results are returned per run.

#### Does Booking support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed reviews on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate Booking with other apps?

Yes. Booking works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Booking with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Booking through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape booking.com?

This actor extracts publicly available data from booking.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/booking-reviews-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Agoda Reviews — Hotel Guest Reviews](https://apify.com/blackfalcondata/agoda-reviews-scraper?fpr=1h3gvi) — Scrape guest reviews for any Agoda hotel — star ratings · full review text in the original language.
- [Airbnb Reviews — vacation rental review data](https://apify.com/blackfalcondata/airbnb-reviews-scraper?fpr=1h3gvi) — Scrape airbnb.com — review text with star rating & date · reviewer name & location · language &.
- [Clutch — B2B Agency Ratings & Reviews](https://apify.com/blackfalcondata/clutch-scraper?fpr=1h3gvi) — Scrape clutch.co — B2B service providers with ratings · review counts · service lines · hourly.
- [Jameda \[Just 💰$2\] — German doctor reviews](https://apify.com/blackfalcondata/jameda-scraper?fpr=1h3gvi) — 💰 $2 per 1,000 reviews. Scrape jameda.de — physician name & specialty · clinic address.
- [Kununu \[Just 💰$1\] — Employer Reviews & Ratings (DACH)](https://apify.com/blackfalcondata/kununu-scraper?fpr=1h3gvi) — 💰 $1 per 1,000 records. Scrape kununu.com across DACH — company ratings, employee reviews & salary.
- [ReclameAqui \[Just 💰$25\] — Complaints & Reputation (BR)](https://apify.com/blackfalcondata/reclameaqui-scraper?fpr=1h3gvi) — 💰 $25 per 1,000 records. Scrape ReclameAqui Brazil — full consumer complaint threads with company.
- [Trustpilot $0.25💰 Reviews/Ratings/Replies/Bypass 200 Limit](https://apify.com/blackfalcondata/trustpilot-reviews-scraper?fpr=1h3gvi) — 💰 $0.25 per 1,000 reviews. Scrape full Trustpilot history for any company — bypass the 200-review.
- [Whatnot — Listings, Sellers & Shop Inventory](https://apify.com/blackfalcondata/whatnot-scraper?fpr=1h3gvi) — Scrape whatnot.com — live-shopping marketplace listings and sellers — prices · bids · conditions ·.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi\&fp_sid=ctaplain) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

### Disclaimer

This actor accesses only publicly available data on booking.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Booking's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Booking.

### Search keywords

booking scraper, booking api, apify booking, booking data extraction, booking.com scraper, booking.com data, booking.com api, review scraper, customer review data.

# Actor input Schema

## `hotelUrls` (type: `array`):

Booking.com hotel page URLs (e.g. https://www.booking.com/hotel/nl/estherea.html). Each hotel's reviews are scraped. Use this OR Destination.

## `destination` (type: `string`):

City or area name (e.g. "Amsterdam"). Scrapes reviews for its top hotels. Use this OR Hotel URLs.

## `maxHotels` (type: `integer`):

In Destination mode: maximum number of hotels to scrape (0 = unlimited). Ignored in Hotel-URL mode.

## `sorter` (type: `string`):

How to order reviews before scraping.

## `maxReviewsPerHotel` (type: `integer`):

Maximum reviews to scrape per hotel (0 = all).

## `reviewLanguage` (type: `string`):

Optional. Keep only reviews written in this language (ISO code, e.g. "en"). Leave empty for all languages.

## `incrementalMode` (type: `boolean`):

Only emit reviews that are new or changed since the previous run for the same inputs. stateKey is optional — it is derived automatically from the hotels/destination, sort order, and language.

## `stateKey` (type: `string`):

Optional. Stable identifier for the tracked review universe. Leave empty to auto-generate from inputs.

## `emitUnchanged` (type: `boolean`):

When incremental, also emit reviews already seen and unchanged. Off by default.

## `compact` (type: `boolean`):

Core fields only (for AI-agent/MCP workflows).

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record. Smaller payloads for AI agents and dashboards.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results. Best-effort across MCP connectors as Apify expands its catalog.

## `telegramToken` (type: `string`):

Telegram bot token from @BotFather. Required for Telegram notifications. Pairs well with incremental mode.

## `telegramChatId` (type: `string`):

Chat ID (from @userinfobot) or channel ID (starts with -100). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord channel webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. Slack App → Incoming Webhooks → Add New Webhook.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API access token from Meta Business Manager. The recipient must have messaged your business number within the last 24 hours.

## `whatsappPhoneNumberId` (type: `string`):

WhatsApp Business phone number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappTo` (type: `string`):

Recipient phone number in E.164 format without + (e.g. "33612345678"). Recipient must have messaged your business number within the last 24 hours.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Compatible with n8n, Make, Zapier, and custom HTTP backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom HTTP headers for the webhook POST (e.g. {"Authorization":"Bearer ..."}).

## `notificationLimit` (type: `integer`):

Maximum number of listings included in each notification message (1–20).

## `notifyOnlyChanges` (type: `boolean`):

When incremental mode is on, send notifications only for new or updated listings. Has no effect outside incremental mode.

## `descriptionFormat` (type: `string`):

Choose which representation of the listing description to include. `all` keeps every variant; the others keep only the selected one.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `maxResults` (type: `integer`):

Maximum number of listings to return per run. Set to 0 for unlimited.

## `startUrls` (type: `array`):

One or more direct search or listing detail URLs to process. When set, other search filters are ignored.

## `includeDetails` (type: `boolean`):

Fetch the detail page for each listing to retrieve the full description text and contact information. Increases run time and cost. Leave off for a fast, low-cost run.

## `skipReposts` (type: `boolean`):

In incremental mode, skip listings that appear to be reposts of a previously-seen expired listing with matching details.

## Actor input object example

```json
{
  "hotelUrls": [
    "https://www.booking.com/hotel/nl/estherea.html"
  ],
  "maxHotels": 10,
  "sorter": "MOST_RELEVANT",
  "maxReviewsPerHotel": 100,
  "incrementalMode": false,
  "emitUnchanged": false,
  "compact": false,
  "excludeEmptyFields": false,
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "descriptionFormat": "all",
  "maxResults": 5,
  "includeDetails": false,
  "skipReposts": false
}
```

# Actor output Schema

## `results` (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 = {
    "hotelUrls": [
        "https://www.booking.com/hotel/nl/estherea.html"
    ],
    "maxReviewsPerHotel": 100,
    "excludeEmptyFields": false,
    "descriptionFormat": "all",
    "maxResults": 5,
    "includeDetails": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/booking-reviews-scraper").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 = {
    "hotelUrls": ["https://www.booking.com/hotel/nl/estherea.html"],
    "maxReviewsPerHotel": 100,
    "excludeEmptyFields": False,
    "descriptionFormat": "all",
    "maxResults": 5,
    "includeDetails": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/booking-reviews-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "hotelUrls": [
    "https://www.booking.com/hotel/nl/estherea.html"
  ],
  "maxReviewsPerHotel": 100,
  "excludeEmptyFields": false,
  "descriptionFormat": "all",
  "maxResults": 5,
  "includeDetails": false
}' |
apify call blackfalcondata/booking-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blackfalcondata/booking-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Okg8BOSzWICbaOhew/builds/XbuuiAw3Lh3HzEdKq/openapi.json