Hyperbrowser

@Hyperbrowser create a scrape job for https://example.com/pricing and extract all plan names, prices, and feature lists into structured JSON

Scrape job created successfully (ID: scrape_abc123). The job is now running against https://example.com/pricing with custom extraction rules for pricing tables. Estimated completion in 15-30 seconds depending on page complexity. Once complete, you'll receive structured JSON containing plan names (Starter, Pro, Enterprise), monthly prices ($29, $99, $299), and feature arrays for each tier. Use the job ID to poll for results.

This example shows Hyperbrowser's core strength: turning unstructured web pages into clean, queryable data. Requires an active API key with scraping quota. Scrape jobs consume credits per page; check your plan limits before bulk operations. Complex pages with heavy JavaScript may need session configuration tweaks.

@Hyperbrowser start a browser-use task to navigate to our competitor's demo site, fill out the trial signup form with test data, and screenshot the confirmation page

Browser-use task initiated (task_xyz789). A stealth-configured Chrome session is now navigating to the target demo site. The automation will: (1) locate the signup form fields, (2) populate name/email/company with your provided test values, (3) submit the form, (4) wait for redirect to confirmation, (5) capture a full-page screenshot. Task status is 'running'; poll with the task ID in 45-60 seconds to retrieve the screenshot URL and execution log.

Demonstrates Hyperbrowser's browser automation beyond static scraping—useful for testing signup flows or capturing dynamic content behind forms. This is a write operation that interacts with third-party sites; ensure you have permission to automate against the target domain. Tasks timeout after 5 minutes; complex multi-step flows may need session persistence.

@Hyperbrowser crawl https://docs.example.com starting from the homepage, follow all internal links up to 3 levels deep, then summarize the main topics covered across all discovered pages

Crawl job started (crawl_def456) with max depth set to 3 levels from https://docs.example.com. The crawler has discovered 47 pages so far, including /getting-started, /api-reference, /integrations, and /troubleshooting sections. Crawl is 68% complete. Once finished, I'll analyze the aggregated page content and provide a topic summary. Based on current results, the documentation covers: API authentication methods, webhook configuration, rate limiting policies, and SDK usage examples across Python, Node.js, and Ruby.

Showcases Hyperbrowser's ability to map entire site structures and feed bulk content into AI analysis—ideal for competitive research or documentation audits. Crawl jobs are asynchronous and can take 2-10 minutes depending on site size and depth. Each page crawled counts toward your quota; set depth limits carefully to avoid runaway costs on large sites.

When Hyperbrowser beats manual price checks at scale

A 6-person e-commerce team needs to track competitor pricing across 200 product pages twice weekly. Hyperbrowser's scrape job tool with stealth profiles handles sites that block standard scrapers—your analyst sets up the job Monday morning, polls status via the API, and pulls structured results into a spreadsheet by lunch. The session management means you're not burning through proxy IPs or getting rate-limited. This works until you hit roughly 1,000 pages per run; beyond that, job completion times stretch past 30 minutes and you'll want a dedicated scraping service with better queue visibility. If your catalog is under 500 SKUs and competitors use Cloudflare or bot detection, Hyperbrowser is the right call for weekly price intelligence without hiring a scraping engineer.

Why Hyperbrowser fits outbound SDR workflows under 50 leads daily

A 3-person sales team qualifies inbound leads by checking LinkedIn profiles for job title, company size, and recent activity. Hyperbrowser's browser-use task automation logs into LinkedIn with a stealth profile, navigates to each lead's page, and extracts the fields your CRM needs—all without triggering LinkedIn's bot detection that kills Puppeteer scripts in minutes. The SDR kicks off 30 tasks in the morning, polls status via the MCP, and has enriched records by mid-afternoon. The ceiling is around 50 profiles per day; LinkedIn's rate limits tighten fast, and Hyperbrowser's task queue doesn't batch intelligently enough for higher volume. If you're doing 20-40 manual lookups daily and losing an hour to copy-paste, this MCP pays for itself in week one.

When Hyperbrowser handles government site crawls that break standard tools

A 4-person compliance team monitors state regulatory sites for new filings—sites that use JavaScript rendering, session cookies, and CAPTCHAs that kill wget and basic scrapers. Hyperbrowser's crawl job tool with custom session settings navigates these sites like a human browser, follows pagination links, and returns structured HTML your parser can ingest. The team schedules weekly crawls, checks job status via the MCP, and pipes results into their document review queue. This approach works for sites with under 5,000 pages per domain; larger crawls (think SEC EDGAR-scale) timeout or return incomplete batches because Hyperbrowser prioritizes stealth over speed. If your compliance scope covers 10-15 tricky state sites and you're currently doing manual downloads, Hyperbrowser turns a 6-hour weekly task into a 20-minute setup.