Targeted Email Scraper Tool
Budget: $30 – $250 USD
I’m looking for a straightforward script or small utility that can pull targeted email addresses from both websites and mobile apps. My immediate focus is on e-commerce sites and business directories, so the scraper should be able to navigate typical product or listing pages, locate contact fields, and collect valid email strings even when they’re obfuscated.
Key points I need covered
• Dual-source capability – it must extract from regular web pages as well as the APIs or traffic of mobile apps.
• Clean CSV export – one line per email with a simple metadata column for the source URL or endpoint.
• Adjustable targeting – I want to be able to add or change the site/app list without editing the code each time, for example by reading from a text file or a small config section.
• Basic de-duplication and simple validation so the output isn’t clogged with obvious junk addresses.
A lightweight Python solution is ideal, but I’m open to another language if setup remains minimal. Please include clear instructions for running the scraper on Windows or Linux, and make sure all dependencies are listed in a requirements file.
Deliverables
- Fully working script/tool with source code.
- Sample CSV created from a quick test scrape to show the expected structure.
- Short README explaining configuration, usage, and any rate-limit or captcha considerations.
Keep it lean and focused; extra bells and whistles can wait until after we see the first round working smoothly.
Key points I need covered
• Dual-source capability – it must extract from regular web pages as well as the APIs or traffic of mobile apps.
• Clean CSV export – one line per email with a simple metadata column for the source URL or endpoint.
• Adjustable targeting – I want to be able to add or change the site/app list without editing the code each time, for example by reading from a text file or a small config section.
• Basic de-duplication and simple validation so the output isn’t clogged with obvious junk addresses.
A lightweight Python solution is ideal, but I’m open to another language if setup remains minimal. Please include clear instructions for running the scraper on Windows or Linux, and make sure all dependencies are listed in a requirements file.
Deliverables
- Fully working script/tool with source code.
- Sample CSV created from a quick test scrape to show the expected structure.
- Short README explaining configuration, usage, and any rate-limit or captcha considerations.
Keep it lean and focused; extra bells and whistles can wait until after we see the first round working smoothly.
Related categories:
PHP
Python
Data Processing
Web Scraping
Software Architecture
Data Extraction
Automation
API Development