Your Web Scraper Breaks Every Time a Site Sneezes. There's a Better Way.

How Coasty's Computer Use Agent Handles This

Coasty doesn't parse HTML. It looks at the screen the same way a human does, reads what's there, and takes action. That's the core difference between a computer use agent and every scraper you've used before. When a site redesigns its layout, Coasty adapts. When a CAPTCHA appears, Coasty has already demonstrated it can solve CAPTCHAs up to Level 6. When JavaScript renders content dynamically, Coasty sees the rendered page, not the raw source. It's the same reason Coasty scores 82% on the OSWorld benchmark, the gold standard for real-world computer use tasks. That score isn't about speed on toy problems. It's about reliably completing actual tasks in actual software environments, the kind of messy, unpredictable conditions your scraping targets live in every day. In practice, this means Coasty can pull 1000+ pages per session across sites that would block a traditional scraper in minutes. It navigates pagination, handles login walls, fills out search forms, and extracts structured data from whatever it finds, all without a single line of XPath or CSS selectors that you'll have to rewrite next month. You describe what you want in plain English. Coasty goes and gets it.

Why This Beats Everything Else

• ●No brittle selectors to maintain. Traditional scrapers break the moment a site changes its HTML structure, which happens constantly. Coasty reads pages visually, so a redesign is just a new look, not a broken pipeline.
• ●Handles anti-bot defenses natively. Cloudflare, CAPTCHAs, rate limiting, JavaScript rendering, login walls. These are dealbreakers for code-based scrapers. For a computer use agent that operates like a real browser session with real human-like behavior, they're just steps in the workflow.
• ●Zero dev time to set up or maintain. Building a scraper from scratch takes days. Maintaining it costs more than building it, with some estimates putting maintenance at 10x the original development cost. Coasty needs a plain-language instruction, not an engineering sprint.
• ●Scales to 1000+ pages per session without you watching it. Manual data collection at that volume would take a full-time employee days per week. Coasty runs it while you do literally anything else, and the error rate for automated extraction is a fraction of the 1-5% human manual entry error rate documented across industries.

Real Results

Think about what 1000+ pages per session actually unlocks. A sales team that used to spend 15 hours a week manually pulling prospect data from LinkedIn, company directories, and industry databases now runs a Coasty session before their Monday standup and walks in with a clean, structured list. An e-commerce operator tracking competitor pricing across 50 product categories used to rely on a fragile scraper that broke every time a retailer updated their site. Now they get daily price snapshots without touching a config file. A research firm that was paying a junior analyst to copy data from regulatory filings into spreadsheets, a process riddled with the 1-5% human error rate that IBM and other researchers have documented, automated the entire extraction and cut turnaround time from two days to two hours. The common thread isn't just speed. It's reliability. When your data pipeline doesn't break, you stop making decisions on stale information. You stop paying engineers to fix selectors. You stop losing the intelligence race to competitors who figured this out first.