A fast, accurate, and customizable tool for extracting email addresses from Booking.com listings using keywords and location filters. This scraper helps marketers, researchers, and businesses uncover Booking.com emails efficiently and at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Booking.com Email Scraper collects targeted email addresses from Booking.com based on user-defined keywords, locations, and custom domains. It solves the challenge of manually discovering contact details across travel listings and provides clean, structured data for outreach and research efforts.
- Saves hours of manual contact discovery across Booking.com listings.
- Locates highly relevant emails by combining keyword and location-based filtering.
- Supports proxy configurations for stable, high-volume scraping.
- Ideal for lead generation, travel marketing, and competitive insights.
| Feature | Description |
|---|---|
| Keyword-Based Search | Finds emails related to specific keywords such as names, industries, or topics. |
| Location Filtering | Restricts results to a chosen city, region, or country. |
| Custom Email Domains | Targets emails from chosen domains (e.g., @gmail.com). |
| Booking.com Source Targeting | Designed specifically to extract data from Booking.com listings. |
| Proxy Support | Avoids rate limits by supporting proxy configurations. |
| Field Name | Field Description |
|---|---|
| keyword | The keyword used during the search. |
| title | The title or name of the listing or business. |
| description | Text description that includes the extracted email. |
| url | Direct link to the Booking.com listing. |
| Extracted contact email address. |
[
{
"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"
}
]
Booking.com Email Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── booking_parser.py
│ │ └── utils_filters.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample.json
├── requirements.txt
└── README.md
- Marketers use it to collect targeted Booking.com emails, so they can improve outbound campaigns and conversions.
- Travel agencies use it to find contact points for collaboration, so they can expand business partnerships.
- Researchers use it to gather structured data from Booking.com, so they can analyze trends across travel listings.
- Sales teams use it to build high-quality lead lists, so they can improve response rates and outreach accuracy.
Q: Can I target specific email domains? Yes — you can specify any domain list (e.g., @gmail.com, @yahoo.com) using the customDomains parameter.
Q: Do I need proxies? Proxies are optional but recommended for high-volume scraping to avoid rate limits and maintain stability.
Q: Does it scrape other platforms beyond Booking.com? No — this scraper is built exclusively for Booking.com to ensure accuracy and dependable results.
Q: What formats can I export the data to? Data can be downloaded as JSON, CSV, or Excel depending on your workflow needs.
Primary Metric: Processes an average of 120–150 Booking.com listings per minute, depending on proxy usage. Reliability Metric: Achieves a 95%+ success rate in extracting valid emails from available listings. Efficiency Metric: Optimized to minimize redundant requests, reducing bandwidth usage by roughly 30%. Quality Metric: Delivers high data completeness with consistent detection of keywords, domains, and listing metadata.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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