Trip.com Email Scraper helps you collect verified business and listing emails from Trip.com with speed and precision. It solves the pain of manual lead hunting by delivering clean, structured email data for outreach, research, and CRM enrichment. Built for accuracy and scale, it fits naturally into modern data workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts publicly available email addresses from Trip.com listings using keyword and location-based discovery. It removes the guesswork from finding relevant contacts by organizing results into clean, export-ready datasets. The scraper is designed for marketers, growth teams, researchers, and travel industry professionals who need reliable contact data.
- Focuses exclusively on Trip.com business listings and travel-related profiles
- Supports keyword-driven and location-specific discovery
- Outputs structured data ready for analysis or outreach
- Designed for stability during medium to high-volume runs
| Feature | Description |
|---|---|
| Keyword-based discovery | Find relevant emails using names, roles, or niche-specific terms. |
| Location filtering | Limit results to specific cities, countries, or regions. |
| Platform-focused extraction | Targets only Trip.com listings for higher relevance. |
| Custom domain filtering | Capture emails from selected domains such as personal or business providers. |
| Proxy-ready execution | Improves reliability and reduces blocking during larger runs. |
| Field Name | Field Description |
|---|---|
| keyword | The search keyword that led to the result. |
| title | Name of the Trip.com business or listing. |
| description | Context snippet where the email was found. |
| url | Source Trip.com page containing the email. |
| Extracted and validated email address. |
[
{
"keyword": "john",
"title": "John's Travel Adventures",
"description": "Reach out via john@travelmail.com",
"url": "https://www.trip.com/travel-guide/poi/johns-travel-adventures-123456",
"email": "john@travelmail.com"
}
]
Trip.com Email Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── trip_email_parser.py
│ │ └── keyword_matcher.py
│ ├── utils/
│ │ ├── network.py
│ │ └── validators.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Marketing teams use it to build targeted lead lists, so they can run more personalized outreach campaigns.
- Travel agencies use it to find partner contacts, helping them expand collaborations faster.
- Researchers use it to collect structured contact data, enabling better market analysis.
- Sales teams use it to enrich CRMs with verified emails, improving conversion rates.
Is this scraper limited to Trip.com only? Yes. The scraper is purpose-built for Trip.com listings to ensure higher data relevance and cleaner results.
Can I control which email domains are collected? Absolutely. You can define specific domains to include, which helps filter out unwanted or low-value emails.
How does the scraper handle large runs? It is designed to work reliably with proxy support, reducing the risk of rate limits during higher-volume usage.
What formats can the output be exported in? The extracted data can be easily converted to JSON, CSV, or Excel formats for downstream use.
Primary Metric: Processes hundreds of Trip.com listings per minute depending on keyword breadth.
Reliability Metric: Maintains a high success rate across repeated runs with consistent output structure.
Efficiency Metric: Optimized request handling keeps resource usage low during extended scraping sessions.
Quality Metric: High precision extraction ensures emails are directly tied to relevant listings and keywords.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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