A focused tool for collecting publicly available Redbubble email contacts using targeted keywords and filters. Redbubble email scraping becomes simple, structured, and scalable, helping teams turn scattered listings into usable contact data. Built for speed and clarity, it fits cleanly into outreach, research, and data workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Redbubble Email Scraper extracts email addresses from Redbubble listings based on keywords, locations, and custom domain rules. It removes the manual effort of browsing profiles one by one and replaces it with a repeatable, accurate process. This project is ideal for marketers, analysts, and growth teams who need structured contact data from Redbubble.
- Searches Redbubble listings using user-defined keywords
- Filters results by geographic location when needed
- Supports custom email domain matching
- Outputs clean, structured datasets ready for export
- Designed to handle large query sets consistently
| Feature | Description |
|---|---|
| Keyword-based search | Finds email addresses associated with specific names, roles, or terms. |
| Location filtering | Narrows results to a specific city or region for higher relevance. |
| Redbubble-only targeting | Focuses exclusively on Redbubble listings for accurate sourcing. |
| Custom email domains | Allows filtering by domains such as gmail.com or business emails. |
| Proxy support | Improves stability and reduces rate-limit interruptions. |
| Field Name | Field Description |
|---|---|
| keyword | The search keyword used to locate the listing. |
| title | The product or listing title associated with the email. |
| description | Text snippet where the email address was found. |
| url | Direct link to the Redbubble page containing the email. |
| The extracted email address. |
[
{
"keyword": "john",
"title": "John's Artwork",
"description": "Contact us at [email protected]",
"url": "https://www.redbubble.com/people/johndoe/artwork/12345678",
"email": "[email protected]"
}
]
Redbubble Email Scraper/
βββ src/
β βββ main.py
β βββ scraper/
β β βββ redbubble_parser.py
β β βββ email_extractor.py
β βββ utils/
β β βββ http_client.py
β β βββ validators.py
β βββ config/
β βββ settings.example.json
βββ data/
β βββ sample_input.json
β βββ sample_output.json
βββ requirements.txt
βββ README.md
- Marketing teams use it to build targeted outreach lists, so they can run more relevant campaigns.
- Growth managers use it to identify potential collaborators, so partnerships form faster.
- Researchers use it to analyze creator contact trends, so insights come from real data.
- Sales teams use it to source warm leads, so prospecting time is reduced.
- Data teams use it to feed CRMs, so contact pipelines stay updated.
Does this tool work only with Redbubble? Yes. The scraper is designed specifically for Redbubble listings to ensure accuracy and consistency.
Can I filter results by email domain? Absolutely. You can specify one or more domains to limit results to personal or business emails.
Is location filtering required? No. Location is optional and can be omitted for broader searches.
What output formats are supported? The extracted data can be easily exported to formats like JSON, CSV, or spreadsheet files.
Primary Metric: Processes hundreds of listings per keyword set with consistent extraction accuracy.
Reliability Metric: Maintains a high success rate across repeated runs when proxy support is enabled.
Efficiency Metric: Optimized request handling keeps resource usage low during extended runs.
Quality Metric: Extracted emails show strong precision with minimal false positives across test datasets.
