fast-browser-useHigh-performance browser automation for heavy scraping, multi-tab management, and precise DOM extraction. Use this when you need speed, reliability, or advanced state management (cookies/local storage) beyond standard web fetching.
Install via ClawdBot CLI:
clawdbot install rknoche6/fast-browser-useA Rust-based browser automation engine that provides a lightweight binary driving Chrome directly via CDP. It is optimized for token-efficient DOM extraction, robust session management, and speed.
Simulate mouse jitter and random delays to scrape protected sites.
fast-browser-use navigate --url "https://protected-site.com" \
--human-emulation \
--wait-for-selector "#content"
Capture the entire DOM state and computed styles for perfect reconstruction later.
fast-browser-use snapshot --include-styles --output state.json
Log in manually once, then steal the session for headless automation.
Step 1: Open non-headless for manual login
fast-browser-use login --url "https://github.com/login" --save-session ./auth.json
Step 2: Reuse session later
fast-browser-use navigate --url "https://github.com/dashboard" --load-session ./auth.json
Extract fresh data from infinite-scroll pages β perfect for harvesting the latest posts, news, or social feeds.
# Harvest headlines from Hacker News (scrolls 3x, waits 800ms between)
fast-browser-use harvest \
--url "https://news.ycombinator.com" \
--selector ".titleline a" \
--scrolls 3 \
--delay 800 \
--output headlines.json
Real output (59 unique items in ~6 seconds):
[
"Genode OS is a tool kit for building highly secure special-purpose OS",
"Mobile carriers can get your GPS location",
"Students using \"humanizer\" programs to beat accusations of cheating with AI",
"Finland to end \"uncontrolled human experiment\" with ban on youth social media",
...
]
Works on any infinite scroll page: Reddit, Twitter, LinkedIn feeds, search results, etc.
Capture any page as PNG:
fast-browser-use screenshot \
--url "https://example.com" \
--output page.png \
--full-page # Optional: capture entire scrollable page
Discover how a site is organized by parsing sitemaps and analyzing page structure.
# Basic sitemap discovery (checks robots.txt + common sitemap URLs)
fast-browser-use sitemap --url "https://example.com"
# Full analysis with page structure (headings, nav, sections)
fast-browser-use sitemap \
--url "https://example.com" \
--analyze-structure \
--max-pages 10 \
--max-sitemaps 5 \
--output site-structure.json
Options:
--analyze-structure: Also extract page structure (headings, nav, sections, meta)--max-pages N: Limit structure analysis to N pages (default: 5)--max-sitemaps N: Limit sitemap parsing to N sitemaps (default: 10, useful for large sites)Example output:
{
"base_url": "https://example.com",
"robots_txt": "User-agent: *\nSitemap: https://example.com/sitemap.xml",
"sitemaps": ["https://example.com/sitemap.xml"],
"pages": [
"https://example.com/about",
"https://example.com/products",
"https://example.com/contact"
],
"page_structures": [
{
"url": "https://example.com",
"title": "Example - Home",
"headings": [
{"level": 1, "text": "Welcome to Example"},
{"level": 2, "text": "Our Services"}
],
"nav_links": [
{"text": "About", "href": "/about"},
{"text": "Products", "href": "/products"}
],
"sections": [
{"tag": "main", "id": "content", "role": "main"},
{"tag": "footer", "id": "footer", "role": null}
],
"main_content": {"tag": "main", "id": "content", "word_count": 450},
"meta": {
"description": "Example company homepage",
"canonical": "https://example.com/"
}
}
]
}
Use this to understand site architecture before scraping, map navigation flows, or audit SEO structure.
| Feature | Fast Browser Use (Rust) | Puppeteer (Node) | Selenium (Java) |
| :--- | :--- | :--- | :--- |
| Startup Time | < 50ms | ~800ms | ~2500ms |
| Memory Footprint | 15 MB | 100 MB+ | 200 MB+ |
| DOM Extract | Zero-Copy | JSON Serialize | Slow Bridge |
This skill is specialized for complex web interactions that require maintaining state (like being logged in), handling dynamic JavaScript content, or managing multiple pages simultaneously. It offers higher performance and control compared to standard fetch-based tools.
Generated Mar 1, 2026
Marketing teams can use this tool to scrape competitor websites for pricing, product updates, and content strategies. Its fast DOM extraction and human emulation bypass bot detection, enabling efficient data collection without triggering blocks.
News agencies or social media platforms can harvest real-time data from infinite-scroll feeds like Twitter or Reddit. The tool's scroll harvesting with delays ensures fresh content capture for trend analysis and alert systems.
Developers and SEO specialists can analyze site structures via sitemap discovery and page semantic analysis. This helps identify navigation issues, heading hierarchies, and meta tags for compliance and optimization.
QA engineers can automate browser interactions for testing web applications, using features like session management and screenshot capture. The lightweight binary reduces resource overhead in continuous integration pipelines.
Academics and researchers can scrape protected sites for data collection, using human emulation to avoid detection. The snapshot feature allows perfect DOM state reconstruction for later analysis.
Offer a cloud-based service where users submit URLs and receive structured data via API. Monetize through tiered subscriptions based on usage volume, targeting businesses needing automated data extraction.
Provide consulting services to integrate the tool into clients' existing workflows, such as competitive analysis or automated reporting. Charge per project or hourly for setup, training, and support.
Sell enterprise licenses with premium features like advanced session management and priority support. Target large organizations requiring reliable, high-performance browser automation for internal operations.
π¬ Integration Tip
Ensure CHROME_PATH is correctly set in the environment and use headless mode for automated scripts to reduce overhead.
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