🧠 Web Scraping - Build, Manage, and Maintain Advanced Scrapers Offline

We’re looking for a top-tier scraping engineer who can extract and analyze complex web data across a variety of platforms. This role goes beyond simple scraping — you should know how to:
 

• Build stable, resilient scraping systems that don’t break
• Manage and rotate proxies, handle rate limits, and bypass anti-bot systems
• Analyze scraped data (sampled and full) for trends and demographics
• Work with structured and unstructured data sources
• Clean and normalize messy data
• Deliver actionable insights, such as audience composition, engagement, and reach metrics
   

You should be comfortable dealing with:

• Social platforms
• Business databases
• E-commerce and influencer platforms
• Any site with interesting data behind a login, pagination, or JS-rendered content
   

We’re especially interested in candidates who:

• Have experience with tools like Scrapy, Puppeteer, Playwright, Selenium, BeautifulSoup, etc.
• Know how to scale scrapers and monitor performance
• Can build dashboards or output data in formats that are easy to analyze
• Understand gender/age detection methods, name parsing, and sample-based analysis
• Have strong Python skills and can write clean, modular code
• Can work autonomously and proactively flag challenges or improvements
   

To apply, please include:

• Examples of scraping projects you’ve done (no need to name the sites if confidential)
• How you’ve kept scrapers from breaking or getting blocked
• How you’ve used scraped data to provide useful insights