# Accommodation Partner Lead Finder (`fetch_cat/accommodation-partner-lead-finder`) Actor

Find and qualify public Booking.com accommodation prospects by destination with lead scoring, segmentation, and new-property monitoring.

- **URL**: https://apify.com/fetch\_cat/accommodation-partner-lead-finder.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community)
- **Categories:** Lead generation, Travel
- **Stats:** 2 total users, 1 monthly users, 88.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.14 / 1,000 accommodation prospect saveds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Accommodation Partner Lead Finder

Build qualified accommodation prospect lists from public Booking.com property data. Search several destinations in one run, prioritize properties with explainable lead scores, and compare each export with a previous dataset for ongoing market monitoring.

### What you can do

- Discover hotels, apartments, and other accommodation prospects by destination
- Export public identity, location, reputation, property, pricing, and amenity signals
- Rank outreach targets with a transparent 0–100 qualification score
- Segment prospects by market class, popularity, and guest quality
- Monitor newly discovered properties with a stable identity and previous-dataset comparison

This Actor does **not** fabricate or infer private contacts. Booking.com does not expose verified property emails, phone numbers, social profiles, or first-party websites through the public source used here, so those fields are not advertised.

### Input example

```json
{
  "destinations": ["Lisbon", "Porto"],
  "maxResultsPerDestination": 25,
  "includeDetails": true,
  "minimumRating": 8,
  "minimumReviewCount": 100,
  "currency": "EUR",
  "language": "en-us"
}
```

### Output example

```json
{
  "leadId": "booking:example-hotel",
  "propertyName": "Example Hotel",
  "bookingPropertyId": "example-hotel",
  "sourceUrl": "https://www.booking.com/hotel/pt/example-hotel.html",
  "sourceSearchUrl": "https://www.booking.com/searchresults.html?ss=Lisbon",
  "sourcePlatform": "booking.com",
  "destination": "Lisbon",
  "rank": 1,
  "address": "Central Lisbon, Portugal",
  "city": "Lisbon",
  "country": "Portugal",
  "latitude": 38.72,
  "longitude": -9.14,
  "rating": 8.9,
  "reviewCount": 1240,
  "stars": 4,
  "propertyType": "Hotel",
  "price": "€180",
  "currency": "EUR",
  "amenities": ["Free WiFi", "Restaurant"],
  "imageUrls": ["https://example.com/property.jpg"],
  "qualificationScore": 82,
  "qualificationTier": "high",
  "qualificationReasons": ["Strong guest rating", "High review volume"],
  "outreachAngle": "Established property: focus on scalable distribution partnerships.",
  "marketSegment": "upscale",
  "popularitySegment": "high-volume",
  "qualitySegment": "strong",
  "monitoringKey": "booking:example-hotel",
  "scrapedAt": "2026-08-03T12:00:00.000Z"
}
```

### Input settings

| Field | Description |
|---|---|
| `destinations` | One or more cities, regions, or landmarks (maximum 20) |
| `maxResultsPerDestination` | Maximum new prospects saved per destination (1–100) |
| `includeDetails` | Enrich location, property type, coordinates, and amenities |
| `minimumRating` | Keep properties at or above this guest rating |
| `minimumReviewCount` | Keep properties with at least this many public reviews |
| `propertyTypes` | Keep matching public property types |
| `sinceDatasetId` | Emit only properties absent from a previous dataset |
| `checkIn`, `checkOut` | Optional stay dates used for availability and price context |
| `adults`, `children`, `rooms` | Stay occupancy |
| `currency`, `language` | Result currency and language |
| `countryCode` | Optional two-letter proxy country for localized results |

### Output fields

Each row has these 30 fields: `leadId`, `propertyName`, `bookingPropertyId`, `sourceUrl`, `sourceSearchUrl`, `sourcePlatform`, `destination`, `rank`, `address`, `city`, `country`, `latitude`, `longitude`, `rating`, `reviewCount`, `stars`, `propertyType`, `price`, `currency`, `amenities`, `imageUrls`, `qualificationScore`, `qualificationTier`, `qualificationReasons`, `outreachAngle`, `marketSegment`, `popularitySegment`, `qualitySegment`, `monitoringKey`, and `scrapedAt`.

Some source-dependent fields can be `null` when Booking.com does not display them. Detail enrichment improves completeness but takes longer.

### Monitoring new prospects

Run the Actor once, then pass that run's dataset ID as `sinceDatasetId`. The next run compares stable `monitoringKey` values and emits only newly discovered properties. If every property is already known, the run succeeds with an empty dataset and records an `expected_empty_delta` summary in the key-value store.

### Who is it for?

Use this Actor if you work in travel partnerships, accommodation distribution, destination research, hospitality sales operations, or property-market monitoring and need structured public prospect data.

### Pricing

Pay per event: one run-start charge plus one `item` charge for each prospect saved. Empty, filtered, duplicate, or unchanged properties are not charged as items. See the live [Apify Pricing tab](https://apify.com/fetch_cat/accommodation-partner-lead-finder/pricing) for current rates by subscription tier.

### Tips and limits

- Start with 10 prospects and one destination to validate your filters cheaply.
- Use detail enrichment when location and property-type segmentation matter.
- Prices and availability depend on dates, occupancy, currency, and public availability.
- Public pages can change or omit optional facts; saved output is preserved if one detail page fails.
- A run approaching its timeout saves a partial summary and pending work rather than discarding completed rows.

### API usage and integrations

**cURL**

```bash
curl -X POST "https://api.apify.com/v2/acts/fetch_cat~accommodation-partner-lead-finder/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"destinations":["Lisbon"],"maxResultsPerDestination":10}'
```

**JavaScript**

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/accommodation-partner-lead-finder').call({ destinations: ['Lisbon'], maxResultsPerDestination: 10 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('fetch_cat/accommodation-partner-lead-finder').call(run_input={'destinations': ['Lisbon'], 'maxResultsPerDestination': 10})
items = client.dataset(run['defaultDatasetId']).list_items().items
```

### MCP and AI agents

Add the Actor to Claude Code:

```bash
claude mcp add apify --transport http "https://mcp.apify.com/?tools=fetch_cat/accommodation-partner-lead-finder"
```

Or add this server configuration to an MCP-compatible client:

```json
{"mcpServers":{"apify":{"url":"https://mcp.apify.com/?tools=fetch_cat/accommodation-partner-lead-finder"}}}
```

Example prompts: “Find 25 highly rated accommodation partners in Lisbon” or “Compare new Berlin hotel prospects with my previous dataset.”

### Input recipes

**Fast market sample**

```json
{"destinations":["Lisbon"],"maxResultsPerDestination":10,"includeDetails":false}
```

**Qualified multi-market list**

```json
{"destinations":["Berlin","Barcelona"],"maxResultsPerDestination":25,"includeDetails":true,"minimumRating":8.5,"minimumReviewCount":250}
```

### FAQ

#### Does it return contact information?

No. It returns truthful public property and qualification signals, not fabricated contact details.

#### Why did my delta run return zero rows?

All discovered properties may already exist in `sinceDatasetId`. Check `RUN_SUMMARY` for `expected_empty_delta`.

#### Can the same property appear twice?

Rows are deduplicated by stable Booking.com property identity across all destinations in one run.

### Related Actors

- [Booking.com Hotels Scraper](https://apify.com/fetch_cat/booking-com-hotels-scraper) for general accommodation data extraction
- [Google Maps Scraper](https://apify.com/fetch_cat/google-maps-scraper) for broader local-business research
- [Google Maps Leads Scraper](https://apify.com/fetch_cat/google-maps-leads-scraper) for local prospect discovery
- [Tripadvisor Scraper](https://apify.com/fetch_cat/tripadvisor-scraper) for travel-market research
- [Google Hotels Scraper](https://apify.com/fetch_cat/google-hotels-scraper) for hotel market comparisons

### Support

Use the **Issues** tab on the Actor page and include the run ID, destination, and expected result. Do not include credentials or private personal data.

# Actor input Schema

## `destinations` (type: `array`):

Cities, regions, or landmarks where you want to find accommodation partner leads.

## `maxResultsPerDestination` (type: `integer`):

Maximum new prospects saved for each destination.

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

Visit public property pages for coordinates, location, type, and amenities. Slower but richer.

## `minimumRating` (type: `number`):

Minimum guest rating.

## `minimumReviewCount` (type: `integer`):

Minimum review count.

## `propertyTypes` (type: `array`):

Keep matching public property types, for example Hotel or Apartment.

## `sinceDatasetId` (type: `string`):

Only emit properties whose stable monitoring key was absent from this dataset.

## `checkIn` (type: `string`):

Check-in date.

## `checkOut` (type: `string`):

Check-out date.

## `adults` (type: `integer`):

Adults.

## `children` (type: `integer`):

Children.

## `rooms` (type: `integer`):

Rooms.

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

Currency.

## `language` (type: `string`):

Language.

## `countryCode` (type: `string`):

Optional two-letter country code for localized public results.

## Actor input object example

```json
{
  "destinations": [
    "Lisbon"
  ],
  "maxResultsPerDestination": 10,
  "includeDetails": true,
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "currency": "USD",
  "language": "en-us"
}
```

# Actor output Schema

## `overview` (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 = {
    "destinations": [
        "Lisbon"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/accommodation-partner-lead-finder").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 = { "destinations": ["Lisbon"] }

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/accommodation-partner-lead-finder").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 '{
  "destinations": [
    "Lisbon"
  ]
}' |
apify call fetch_cat/accommodation-partner-lead-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/accommodation-partner-lead-finder"
        }
    }
}

```

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/aVBCNPPgmAqvsy5nw/builds/IHIzGCsrF61Lvx1Z0/openapi.json