Data Extraction — Execution Protocol

Internal template. Entry point: agent-browser skill.

NEVER

NEVER `eval` before `wait --load networkidle` — JS-rendered content won't exist yet
NEVER assume lightpanda handles JS-heavy pages — always have a --engine chrome fallback ready
NEVER scrape without checking `get count` first — validates that your selector found items

Execution Sequence

# 1. Try lightpanda first (fastest, no JS overhead)
AGENT_BROWSER_ENGINE=lightpanda agent-browser open <url>
AGENT_BROWSER_ENGINE=lightpanda agent-browser wait --load networkidle

# 2. Understand structure
AGENT_BROWSER_ENGINE=lightpanda agent-browser snapshot -c

# 3. Verify selector finds items before extracting
AGENT_BROWSER_ENGINE=lightpanda agent-browser get count ".item"

# 4. Extract
AGENT_BROWSER_ENGINE=lightpanda agent-browser eval "[...document.querySelectorAll('.item')].map(el => ({
  name: el.querySelector('h2')?.textContent?.trim(),
  price: el.querySelector('.price')?.textContent?.trim()
}))"

# 5. If empty/wrong → fallback to chrome engine
agent-browser open <url>
agent-browser wait --load networkidle
agent-browser get count ".item"    # verify selector still works
agent-browser eval "<same query>"

Note on AGENT_BROWSER_NATIVE=1: This env var was used in older workflows as a shorthand for the Rust daemon. In 0.22+, the daemon is always active — use AGENT_BROWSER_ENGINE=chrome (or just default) instead. AGENT_BROWSER_NATIVE=1 is still accepted but no longer documented.

Pagination Handling

# Scroll-based infinite scroll
agent-browser scroll down
agent-browser wait --load networkidle
agent-browser get count ".item"    # check if count increased
agent-browser eval "<extract again>"
# Repeat until count stops increasing

# Click-based pagination
agent-browser find role button click --name "Next"
agent-browser wait --load networkidle

# Wait for specific text to confirm page loaded
agent-browser wait --text "Page 2 of"

Output Parsing Tips

# Add --content-boundaries to help parse output when using --max-output
AGENT_BROWSER_CONTENT_BOUNDARIES=1 agent-browser eval "<query>" --max-output 50000

# JSON output for structured parsing
agent-browser get text @e1 --json
agent-browser snapshot -i --json

Anti-Bot Bypass

# Level 1: custom user-agent
agent-browser --user-agent "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" open <url>

# Level 2: disable automation detection (combine with level 1)
agent-browser \
  --user-agent "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \
  --args "--disable-blink-features=AutomationControlled" \
  open <url>

Recovery Patterns

Judgment Gates

Pause when:

• Anti-bot measures block all approaches (CAPTCHA requires human)
• get count returns 0 after fallback — show snapshot -c to user, ask how to identify items

Pitfalls