Magnolia Ventures

Web Scraping & Data Collection

Build automated data collection systems that scrape, parse, and structure information from the web at scale.

How web scraping works

Web scraping means programmatically extracting data from websites—pricing from competitors, product catalogs, real estate listings, job postings, reviews, or any public information. It's how price comparison sites stay updated, how data vendors build datasets, and how growth teams find leads.

The core components are: crawling infrastructure (navigating sites, handling JavaScript), extraction logic (parsing HTML, identifying data patterns), storage systems (structured databases or data lakes), and anti-detection measures (proxies, rate limiting, browser fingerprinting avoidance).

Most companies underestimate the operational complexity. Sites change layouts, implement bot detection, rate-limit aggressively, and serve different content to scrapers. We build scrapers that adapt to changes, respect robots.txt, and integrate with your data pipelines.

Frequently Asked Questions

Need help with data collection?

We build custom solutions tailored to your specific technical requirements and business constraints.

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