Taobao Email Scraper is a focused data extraction tool that helps you collect publicly available email addresses from Taobao listings using keyword-based searches. It simplifies lead discovery by filtering results by location and email domain, delivering clean and structured data for outreach and research.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts email addresses from Taobao listings based on configurable search inputs such as keywords, locations, and custom email domains. It solves the challenge of manually finding business contact details at scale and is built for marketers, growth teams, and researchers who need reliable Taobao email data.
- Searches Taobao listings using user-defined keywords.
- Filters results by geographic location for higher relevance.
- Supports custom email domains to narrow down results.
- Designed for structured output that is easy to integrate.
- Handles large runs reliably with proxy configuration.
| Feature | Description |
|---|---|
| Keyword-Based Search | Finds email addresses associated with specific keywords or names. |
| Location Filtering | Limits results to a specific city or region for relevance. |
| Platform Focus | Extracts data exclusively from Taobao listings. |
| Custom Email Domains | Allows filtering by domains such as gmail or company emails. |
| Proxy Support | Improves stability and avoids rate limits during large runs. |
| Field Name | Field Description |
|---|---|
| keyword | The search keyword that produced the result. |
| title | Listing or product title where the email was found. |
| description | Text snippet containing the extracted email. |
| url | Source page URL of the listing. |
| Extracted email address. |
[
{
"keyword": "john",
"title": "John's Marketing Service",
"description": "Contact us at johnmarketing@gmail.com",
"url": "https://item.taobao.com/item.htm?id=123456789",
"email": "johnmarketing@gmail.com"
}
]
Taobao Email Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── taobao_parser.py
│ │ ├── email_extractor.py
│ │ └── request_handler.py
│ ├── utils/
│ │ ├── validators.py
│ │ └── logger.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Marketing teams use it to build targeted email lists, so they can run focused outreach campaigns.
- E-commerce analysts use it to identify Taobao sellers, so they can study competitors and partners.
- Lead generation agencies use it to automate data collection, so they can scale faster with less manual work.
- Researchers use it to gather contact data, so they can analyze market presence by region.
- Product founders use it to find suppliers, so they can establish direct communication channels.
What inputs are required to run the scraper? You need at least one keyword. Location, custom email domains, and proxy settings are optional but recommended for precision and stability.
Can I limit results to specific email providers? Yes, you can define custom email domains to include only emails that match those domains.
Does it work for platforms other than Taobao? No, this project is intentionally focused on Taobao to maintain accuracy and reliability.
How is the output delivered? The scraper produces structured data that can be easily exported to formats like JSON or CSV for further use.
Primary Metric: Processes several hundred listings per minute depending on keyword scope and proxy usage.
Reliability Metric: Maintains a high success rate on long runs with proxy support enabled.
Efficiency Metric: Low memory footprint with streamlined parsing and extraction logic.
Quality Metric: High precision email detection with minimal false positives due to regex validation and domain filtering.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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