Web Scraping Specialist
Job Description
Wynd Labs builds Grass, a residential-proxy network that rewards users for sharing unused bandwidth to make public web data accessible for AI training. This role leads data extraction and web-scraping efforts to fuel Grass's data pipeline.
Responsibilities
- Write, test, and refine code that extracts data from various online sources
- Handle dynamic content, pagination, and AJAX-loaded pages
- Clean and format extracted data to quality standards
- Manage storage in NoSQL databases, optimizing for speed and integrity
- Monitor scraping pipelines and resolve issues to maintain continuous data flow
What we are looking for
- Python or JavaScript (BeautifulSoup, Scrapy, Selenium)
- Asynchronous programming, multithreading, distributed scraping
- HTML/CSS/JS and DOM knowledge
- NoSQL databases (MongoDB, Cassandra)
- Cloud services (AWS/GCP/Azure) for scraping at scale
Additional Information
Grass, built by Wynd Labs, is a residential-proxy network that pays users for sharing unused bandwidth to make public web data accessible for AI training. This Web Scraping Specialist role has a stated salary range of $70k-$140k plus equity.
Perks and Benefits
- Competitive salary and equity grant
- Comprehensive health coverage
- Remote-friendly / flexible work
- Learning & development budget
Keywords: Python, Web Scraping, NoSQL, AI Data, AWS
Grass (Wynd Labs)
📍 Remote-firstVisit Company WebsiteGrass, built by Wynd Labs, is a residential-proxy network that rewards users for sharing unused bandwidth. The distributed network is used to make public web data accessible for AI training, offering a token-incentivized alternative to centralized web-scraping infrastructure.
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