# Hotels.com Email Scraper (`email_scraper/hotels-com-email-scraper`) Actor

Hotels.com Email Scraper extracts publicly discoverable email addresses from Hotels.com-related search results using targeted keywords, locations, and email domains. Build structured hotel leads with titles, descriptions, source URLs, and emails for prospecting and market research.

- **URL**: https://apify.com/email\_scraper/hotels-com-email-scraper.md
- **Developed by:** [Email Scraper](https://apify.com/email_scraper) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.49 / 1,000 results

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?

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

### 🔍 Hotels.com Email Scraper – Overview

Hotels.com Email Scraper helps you discover publicly visible email addresses associated with Hotels.com search results using targeted keywords, optional locations, and selected email domain suffixes. It is designed for lead generation, contact discovery, market research, hotel industry research, and building structured prospect lists from publicly available search-result information.

The Hotels.com Email Scraper searches for relevant Hotels.com pages based on your chosen keywords and email domains, then extracts matching email addresses from publicly displayed result descriptions. Each discovered email is returned with useful contextual information such as the keyword used, result title, description, and source URL.

> 💡 **What problem does it solve?**
>
> Instead of manually searching Hotels.com-related results and copying publicly listed contact emails one by one, the Hotels.com Email Scraper lets you define search terms and email domains and processes those combinations automatically.

The easiest workflow is simple: enter several relevant keywords, optionally specify a country or city, select the email domains you want to find, set the maximum emails per keyword + domain combination, and start the Actor.

### 🔹 Hotels.com Email Scraper – Key Features

The Hotels.com Email Scraper focuses on targeted email discovery rather than generic page scraping. Its configurable search approach allows you to build different searches for different markets, professions, business types, or hotel-related terms.

> ✅ **Key Features**
>
> - Search Hotels.com-related results with multiple keywords
> - Filter searches by country, state, city, or another location
> - Search for selected email domain suffixes such as `@gmail.com`
> - Set a maximum email target for each keyword + domain combination
> - Exclude unwanted words or phrases from result descriptions
> - Automatically avoid duplicate email addresses
> - Collect contextual title, description, and source URL information
> - Process multiple keyword and domain combinations in one run
> - Continue through additional search-result pages when useful results remain
> - Save results incrementally to the Apify dataset

A major advantage of the Hotels.com Email Scraper is flexible targeting. For example, instead of searching only for `Hotel`, you can use terms such as `Hotel Owner`, `Hotel Manager`, `Hotel Director`, `Hotel Booking`, or other relevant queries.

### 🔎 Hotels.com Email Scraper – What Data Can You Extract?

The Hotels.com Email Scraper returns structured lead information instead of providing only a plain list of email addresses. This makes the collected data easier to review, filter, export, and process for downstream workflows.

> 📦 **Output Data**
>
> - **keyword** — The keyword or query associated with the result
> - **title** — The title of the related search result
> - **description** — The description or visible result snippet containing the discovered contact information
> - **url** — The source URL associated with the result
> - **email** — The publicly visible email address extracted from the result

This contextual information helps you understand why a particular email was collected. The keyword shows the search intent, while the title, description, and URL provide additional context for lead qualification.

The Hotels.com Email Scraper is therefore useful when you need both **email extraction** and enough surrounding information to evaluate a potential lead.

### 🚀 Hotels.com Email Scraper – How to Use It

Using the Hotels.com Email Scraper requires only a few input settings.

#### 📝 Step 1: Add Keywords

Enter one or more keywords describing the type of Hotels.com-related results you want to discover.

For better coverage, use several related search terms rather than relying on one broad term.

Example:

```text
Hotel Owner
Hotel Manager
Hotel Director
Hotel
Hotel Business
```

Specific keyword combinations can uncover different search-result sets and improve the variety of publicly available contact information.

#### 🌍 Step 2: Add a Location

Use the **Region / Location** field to narrow your search geographically.

Examples include:

```text
United States
New York
London
Dubai
Bangladesh
California
```

You can also leave the location field empty when you want a broader search without a geographic restriction.

#### 📧 Step 3: Select Email Domains

The **customDomains** input controls which email suffixes the Hotels.com Email Scraper looks for.

For example:

```text
@gmail.com
@yahoo.com
@outlook.com
@hotmail.com
@icloud.com
```

You can provide multiple domains to search for different types of publicly visible email addresses.

#### 🎯 Step 4: Set the Maximum Emails

The **maxEmails** value controls the target number of addresses for each keyword + domain combination.

For example, with:

```text
Keywords = 3
Domains = 2
maxEmails = 20
```

the Actor works through six keyword/domain combinations, with a target of up to 20 matching emails for each combination.

This does not guarantee that every combination will produce the requested number. Results depend on what is publicly available and discoverable for the selected query.

#### 🚫 Step 5: Add Exclude Words

Use **excludeWords** when you want to ignore search-result descriptions containing unwanted words or phrases.

Examples:

```text
crypto
onlyfans
gaming
```

When a description matches an excluded term, that result is skipped rather than contributing an email.

> 💡 **Best practice**
>
> Start with moderately broad keywords and a small set of relevant email domains. Review the results, then add more specific keywords, locations, domains, or exclusion terms to refine your lead discovery.

### 🔍 How to Scrape Hotels.com Email Addresses More Effectively

The quality of Hotels.com email extraction depends heavily on how you design your searches.

A single broad keyword such as `Hotel` may produce many loosely related results. A group of specific keyword variations can create more targeted searches and increase the opportunity to find different publicly visible contact addresses.

Consider combining business roles, hotel-related terms, and geographic targeting.

Examples:

```text
Hotel Owner
Hotel Manager
Hotel General Manager
Hotel Director
Hotel Marketing
Hotel Reservation
Boutique Hotel
Luxury Hotel
```

You can then combine these with relevant domain suffixes.

For example, a campaign targeting Gmail addresses could use:

```text
Hotel Owner
Hotel Manager
Hotel Director
```

with:

```text
@gmail.com
```

A broader contact-discovery campaign might use multiple common domains.

> 📌 **Search strategy**
>
> - Use several closely related keywords
> - Add a location when geographic targeting matters
> - Use multiple relevant email domains
> - Remove the location filter when results are too limited
> - Use exclusion terms to reduce unwanted matches
> - Increase `maxEmails` when deeper collection is required

The Hotels.com Email Scraper automatically continues through search-result pages while useful results remain, but availability of public information ultimately determines how many unique emails can be collected.

### 🌍 Can You Search Hotels.com Leads by Country or City?

Yes. The **location** input is specifically designed for geographic targeting.

You can enter a country, state, city, or other geographic phrase to make the search more specific.

For example:

```text
United States
California
New York
Toronto
Dubai
Paris
```

A location can help narrow broad hotel-related searches to a specific market.

However, highly restrictive combinations may return fewer results. When collection appears sparse, broadening or removing the location can provide wider coverage.

### 📧 Can You Search Multiple Email Domains?

Yes. The Hotels.com Email Scraper supports multiple custom email domain suffixes.

Examples include:

```text
@gmail.com
@yahoo.com
@outlook.com
@hotmail.com
@icloud.com
```

This is particularly useful when your prospecting workflow is not limited to one type of mailbox.

You may also use company-specific domains when they are relevant to your search objective.

> ⚠️ **Important**
>
> The Actor can only extract email addresses that are publicly discoverable in the information available to the search process. Adding more domains does not guarantee more results.

### 🚫 Can You Exclude Unwanted Results?

Yes. The **excludeWords** input lets you define words or phrases that should cause a result description to be skipped.

For example:

```text
crypto
onlyfans
adult
```

A matching description is ignored before an email is extracted from that result.

Single-word exclusions use word-based matching, while phrases can match as phrases. Matching is not case-sensitive.

This feature can be useful when your lead criteria require a cleaner set of results.

### 🧩 Hotels.com Email Scraper – Use Cases

The Hotels.com Email Scraper can support multiple legitimate data discovery and research workflows involving publicly available information.

> 🎯 **Use Cases**
>
> - Hotel industry lead generation
> - Hospitality market research
> - Travel business prospecting
> - Hotel-related contact discovery
> - Sales research
> - Business development research
> - Hospitality partnership research
> - Hotel marketing research
> - Geographic market analysis
> - Building structured prospect datasets
> - Email-domain-based lead research
> - Creating targeted hotel-related contact lists

For example, a travel technology company could search for hotel-related keywords in a specific country, while a hospitality service provider could combine hotel role keywords with multiple email domains.

The returned title, description, and URL can then help evaluate whether a discovered address is relevant to the intended research objective.

### ⚙️ Input

The Hotels.com Email Scraper provides five user-facing input fields.

| Input             | Type    | Description                                                      |
| ----------------- | ------- | ---------------------------------------------------------------- |
| **keywords**      | Array   | Keywords or queries used to discover relevant Hotels.com results |
| **location**      | String  | Optional geographic filter such as a country, state, or city     |
| **customDomains** | Array   | Email domain suffixes to search for                              |
| **maxEmails**     | Integer | Maximum target per keyword + domain combination                  |
| **excludeWords**  | Array   | Words or phrases that cause matching descriptions to be skipped  |

#### 🔹 Keywords

This is the main required input.

Example:

```json
{
  "keywords": [
    "Hotel Owner",
    "Hotel Manager",
    "Hotel Director"
  ]
}
```

Using multiple related searches is recommended when broader coverage is required.

#### 🔹 Location

Optional field.

Example:

```json
{
  "location": "New York"
}
```

Leave it blank for a broader search.

#### 🔹 Custom Domains

Example:

```json
{
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ]
}
```

#### 🔹 Maximum Emails

The accepted range is **1 to 10,000**.

Example:

```json
{
  "maxEmails": 50
}
```

The target is applied independently to keyword + domain combinations.

#### 🔹 Exclude Words

Example:

```json
{
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}
```

Use this field to reduce irrelevant results.

### 📤 Output

The Hotels.com Email Scraper stores collected records in an Apify dataset.

Example output:

```json
{
  "keyword": "Hotel Owner",
  "title": "Example Hotel Owner",
  "description": "Publicly visible result information with contact@example.com",
  "url": "https://www.hotels.com/",
  "email": "contact@example.com"
}
```

> 📊 **Output Format**
>
> Each collected result contains the keyword, source title, description, URL, and extracted email address. The dataset is structured for convenient inspection and downstream data processing.

The dataset can be viewed directly in Apify after the Actor run completes.

### 💰 Pricing and Result Limits

The Actor configuration includes different behavior for free and paid Apify users.

For free users, the configured maximum is capped at **100 emails per keyword + domain collection target** when a higher target is requested. Paid users do not receive this particular cap from the Actor logic.

The Actor also uses the configured `maxEmails` value as a collection target rather than guaranteeing that target will always be reached.

> 💳 **Pricing**
>
> - `maxEmails` controls the requested collection depth
> - Free users are limited to a maximum configured target of 100 for each keyword + domain combination
> - Paid users can use higher configured targets, subject to available public results
> - The Actor does not guarantee a specific number of emails
> - Actual collection depends on discoverable public information and search-result availability

Because the Actor uses result-based processing, a higher target does not automatically mean that more addresses exist. A combination may finish with fewer results when the available public data is exhausted.

### 💡 Tips and Best Practices

For stronger Hotels.com Email Scraper results, focus on search design rather than simply increasing the email limit.

> ✅ **Tips**
>
> - Use 3–5 related keywords for broader coverage
> - Combine role-based and business-related keywords
> - Start without a location when you need maximum reach
> - Add a location when market targeting is important
> - Test several common email domains
> - Use exclude words to remove unwanted categories
> - Increase `maxEmails` only when your search strategy already produces useful results
> - Review titles and descriptions before using collected leads
> - Avoid overly narrow keyword + location combinations

When results are lower than expected, expanding the keyword list or email domains is usually more useful than simply requesting a larger target.

### ⏱️ How Long Does the Hotels.com Email Scraper Run?

Run duration depends on the number of keywords, email domains, search-result pages, and available results.

Larger keyword/domain combinations naturally require more processing. The Actor also stops a collection sequence when additional pages stop producing useful new email addresses.

For wide searches, a longer Apify run timeout may be appropriate.

> ⚡ **Important Note**
>
> A low result count does not necessarily indicate a problem. It can mean that the selected search terms, location, or email domain combination has limited publicly discoverable information.

### 🔐 Privacy and Data Quality Considerations

The Hotels.com Email Scraper is designed around publicly discoverable search-result information. It does not guarantee that every extracted email is current, valid, monitored, or associated with the intended person or business.

Collected information should therefore be reviewed and used responsibly.

Do not assume that an extracted email represents consent to receive unsolicited communication. Follow applicable privacy, marketing, data-protection, and platform rules when using the resulting dataset.

### ❓ Frequently Asked Questions

#### 🔍 What is Hotels.com Email Scraper?

Hotels.com Email Scraper is an Apify Actor for discovering publicly visible email addresses associated with Hotels.com-related search results using customizable keywords, locations, and email domains.

#### 📧 What emails can Hotels.com Email Scraper find?

It searches for email addresses matching the domain suffixes configured in **customDomains**, such as `@gmail.com`, `@yahoo.com`, or `@outlook.com`.

#### 🌍 Can I scrape hotel-related emails by city?

Yes. Enter a city, state, country, or other geographic phrase in the **location** input to narrow the search.

#### 🎯 Is maxEmails a run-wide limit?

No. The Actor applies the configured target independently to each keyword + domain combination. The actual number collected can still be lower because only publicly discoverable addresses can be extracted.

#### 📊 What data does the Hotels.com Email Scraper return?

The primary dataset fields are **keyword, title, description, url, and email**.

#### 🚫 Can I exclude unwanted keywords?

Yes. Add unwanted words or phrases to **excludeWords**. Matching descriptions are skipped before email extraction.

#### 📧 Can I search several email domains in one run?

Yes. Add multiple domain suffixes to **customDomains**. Each keyword + domain combination is processed separately.

#### 🔎 What is the best way to improve Hotels.com email extraction results?

Use several related keywords, test multiple email domains, and broaden the location when results are too narrow. Specific role-based terms can be particularly useful for targeted prospect research.

#### 💰 How many emails can free users collect?

The Actor limits the configured target to 100 emails per keyword + domain combination for free users when a higher value is requested. This is not a guarantee of receiving 100 addresses.

#### 📈 Why did my run return fewer emails than requested?

The requested number is a target, not a guaranteed result. Limited public information, narrow searches, duplicate addresses, exclusions, and exhausted search results can all reduce the final count.

#### 🤖 Can Hotels.com Email Scraper process multiple keywords automatically?

Yes. Add multiple values to the **keywords** list, and the Actor processes them as separate search targets.

### 🛠️ Support

For questions, improvements, custom requirements, or bespoke scraper development related to the Hotels.com Email Scraper, you can contact the developer directly.

- contact me by email : <alphascraper69@gmail.com>

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords or queries to search for.

## `location` (type: `string`):

Optional country, state or city used to narrow the search. Leave it empty to search without a geographic filter.

## `customDomains` (type: `array`):

List of custom email domains

## `maxEmails` (type: `integer`):

How many addresses each search keyword + domain suffix combination may collect before the finder moves on to the next one. This is a per-combination target, not a run-wide total: with 3 keyword and 2 Domains and a limit of 20, the run works through all 6 combinations and aims for up to 20 addresses in each, so up to 120 overall. Lower values finish sooner and cost less; higher values dig deeper but never guarantee a fuller result, since the run can only find what is publicly listed.

## `excludeWords` (type: `array`):

Words or phrases you do not want to see.

## Actor input object example

```json
{
  "keywords": [
    "Hotel Owner",
    "Hotel"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com"
  ],
  "maxEmails": 10,
  "excludeWords": []
}
```

# Actor output Schema

## `dataset` (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 = {
    "keywords": [
        "Hotel Owner",
        "Hotel"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com"
    ],
    "excludeWords": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("email_scraper/hotels-com-email-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 = {
    "keywords": [
        "Hotel Owner",
        "Hotel",
    ],
    "location": "",
    "customDomains": ["@gmail.com"],
    "excludeWords": [],
}

# Run the Actor and wait for it to finish
run = client.actor("email_scraper/hotels-com-email-scraper").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 '{
  "keywords": [
    "Hotel Owner",
    "Hotel"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com"
  ],
  "excludeWords": []
}' |
apify call email_scraper/hotels-com-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,email_scraper/hotels-com-email-scraper"
        }
    }
}
```

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/nlFu0aVLCvAISnJlb/builds/mPfpAKV08sInVwWkh/openapi.json