Presentation
My typical workflow looks something like this: I dig into the target website or data source, figure out the fastest and cleanest way to extract what you need, then deliver it in whatever format works for you like Excel, Google Sheets, CSV, or straight into your CRM.
Tools & tech I use regularly:
Python · Scrapy · Selenium · Beautiful Soup · Playwright · Apify · Google Sheets API · XPath · HTML/CSS parsing · Apolloio · ZoomInfo · LinkedIn Sales Navigator
Types of projects I handle:
- Web scraping & crawling (static and dynamic/JavaScript-rendered sites)
- Lead generation — contact lists, email lists, prospect research
- Data mining from directories, marketplaces and business databases
- Data cleaning and normalization (messy raw data → organized spreadsheets)
- Market research and company research for sales or competitive analysis
- Automated data collection pipelines with scheduling
Who I've helped:
Sales teams that needed 500+ verified B2B contacts by the end of the week. E-commerce businesses that wanted competitor pricing data without doing it by hand. Agencies running outreach campaigns who needed clean, deduplicated email lists. Researchers who needed bulk data from public sources organized into usable reports.
I keep communication straightforward, deliver on time and always flag issues before they become problems. If you're not sure whether your project is a fit, just message me. I'm happy to talk through it.
Let's get your data working for you.

