Data Scraping

Extract valuable web data — structured, clean, and usable.

What We Do

Scrape public websites and directories

Parse paginated content, tables, nested data

Deliver in CSV, JSON, Airtable or APIs

Maintain regular refresh schedule if needed

Tech Stack

Python (BeautifulSoup, Scrapy, Selenium)
Proxy rotation and anti-detection
Data cleaning and validation
API endpoints for real-time access

Why It Matters

Sales research, competitor tracking, investor lists — all depend on structured data

Automating this saves 50+ hours/month and drives real insights

Sample Use Cases

Competitor monitoring: Track pricing, features, content updates
Lead generation: Extract contact info from directories and social platforms
Market research: Gather product reviews, sentiment analysis
Content aggregation: Collect articles, posts, listings for analysis

Ready to get started?

Let's discuss your specific use case and build the right solution for your business.

Let's discuss your use case