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Booking.com Email Scraper

Pricing

$5.00/month + usage

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Booking.com Email Scraper

Booking.com Email Scraper

Developed by

Scraper Mind

Scraper Mind

Maintained by Community

Booking.com Email Scraper – Efficiently extract Booking.com emails based on keywords & location. Perfect for lead gen, marketing, & research. Supports custom domains & proxies for seamless data scraping. Download in JSON, CSV, Excel. Expand your reach today!

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Pricing

$5.00/month + usage

0

Total users

16

Monthly users

10

Runs succeeded

>99%

Last modified

18 days ago

Booking.com Email Scraper - Fast, Accurate & Affordable ⚡️👌

Unlock the power of Booking.com email scraping with the Booking.com Email Scraper! Fast, Accurate & Affordable ⚡️👌, this tool is designed to help you collect Booking.com emails based on specified keywords, ideal for marketers, researchers, and businesses looking to expand their reach.


🔍 Key Features

  • Keyword-Based Search: Enter keywords like "john", "marketing", and more to find specific Booking.com email addresses.
  • Location Filtering: Refine results by specifying the location.
  • Platform Selection: Specifically scrapes Booking.com listings.
  • Custom Email Domains: Customize the email domains to be included in the search (default is @gmail.com).
  • Proxy Support: Use proxies to avoid rate-limiting issues and scrape seamlessly.

📚 Input Parameters

{
"keywords": ["john", "marketing"],
"location": "New York",
"platform": "Booking.com",
"customDomains": ["@gmail.com"],
"proxyConfiguration": {
"useApifyProxy": true
}
}

The Booking.com Email Scraper uses the following input parameters for customization:

  • keywords:

    • A list of keywords to search for (e.g., ["john", "marketing"]).
  • location:

    • Filter search results by location (optional).
  • platform:

    • Scrapes from Booking.com (this is the only available option).
  • customDomains:

    • A list of custom email domains to filter the results (e.g., @gmail.com).
  • proxyConfiguration:

    • Optional setting for configuring proxy usage.

📈 Output Structure

The output data is structured as follows:

  • keyword: The search keyword used.
  • title: The name of the listing or business associated with the email address.
  • description: A description containing the extracted email address.
  • url: The link to the Booking.com page where the email was found.
  • email: The extracted email address.

Example Output JSON

[
{
"keyword": "john",
"title": "John's Travel Agency",
"description": "Contact us at johnstravel@gmail.com",
"url": "https://www.booking.com/hotel/us/johns-travel-agency.html",
"email": "johnstravel@gmail.com"
}
]

🛠️ How to Use

  1. Input Keywords and Email Domains:

    • Enter the desired keywords (e.g., ["john", "marketing"]) and custom email domains.
  2. Run the Actor:

    • Click on Run to start the email scraping process from Booking.com.
  3. Enable Proxies (Optional):

    • If you need to scrape at a high volume, set up proxies to avoid rate-limiting issues.
  4. Download & Use the Data:

    • After scraping, you can download the results in formats like JSON, CSV, or Excel for outreach, marketing, or further analysis.

Best Use Cases

  • Lead Generation: Build a list of Booking.com emails for marketing and outreach.
  • Travel Marketing: Identify key contacts for travel promotions or partnerships.
  • Market Research: Gather contact details of travel agents, hotel owners, and businesses on Booking.com.
  • Data Aggregation: Integrate Booking.com email data into your CRM or email marketing tool.

🆘 Support & Feedback

For any issues, bugs, or feature requests, please use the issues section.

📩 For custom solutions or further information, contact us at
scrapermindapi@gmail.com – we're here to help!