pip3 install websockets

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"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
  --remote-debugging-port=9222 \
  --user-data-dir="/tmp/chrome-gemini-profile" \
  "https://gemini.google.com/" &

curl -s http://localhost:9222/json | python3 -m json.tool

{
  "title": "Google Gemini",
  "url": "https://gemini.google.com/app",
  "webSocketDebuggerUrl": "ws://localhost:9222/devtools/page/XXXXXXXX"
}

import asyncio
import websockets
import json
import subprocess
import sys

async def query_gemini(query_text, wait_seconds=30):
    # Get the Gemini page WebSocket URL
    result = subprocess.run(
        ["curl", "-s", "http://localhost:9222/json"],
        capture_output=True, text=True
    )
    pages = json.loads(result.stdout)
    
    # Find Gemini page
    gemini_page = None
    for page in pages:
        if page.get("type") == "page" and "gemini.google.com" in page.get("url", ""):
            gemini_page = page
            break
    
    if not gemini_page:
        print("Error: Gemini page not found. Make sure Chrome is open with Gemini.")
        return None
    
    ws_url = gemini_page["webSocketDebuggerUrl"]
    print(f"Connecting to: {ws_url}")
    
    async with websockets.connect(ws_url) as ws:
        # Step 1: Input the query
        input_js = f'''
        const editor = document.querySelector('div[contenteditable="true"]');
        if(editor) {{
            editor.focus();
            document.execCommand('insertText', false, `{query_text}`);
            editor.dispatchEvent(new Event('input', {{bubbles: true}}));
            'success';
        }} else {{
            'editor not found';
        }}
        '''
        
        await ws.send(json.dumps({
            "id": 1,
            "method": "Runtime.evaluate",
            "params": {"expression": input_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        print(f"Input result: {result.get('result', {}).get('result', {}).get('value', 'unknown')}")
        
        # Step 2: Click send button
        await asyncio.sleep(1)
        click_js = '''
        const btn = document.querySelector('button[aria-label="傳送訊息"]');
        if(btn) { btn.click(); 'clicked'; } else { 'button not found'; }
        '''
        
        await ws.send(json.dumps({
            "id": 2,
            "method": "Runtime.evaluate",
            "params": {"expression": click_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        print(f"Click result: {result.get('result', {}).get('result', {}).get('value', 'unknown')}")
        
        # Step 3: Wait for response
        print(f"Waiting {wait_seconds} seconds for Gemini to respond...")
        await asyncio.sleep(wait_seconds)
        
        # Step 4: Extract the response
        extract_js = '''
        const markdownEls = document.querySelectorAll('.markdown');
        if(markdownEls.length > 0) {
            markdownEls[markdownEls.length - 1].innerText;
        } else {
            'No response found';
        }
        '''
        
        await ws.send(json.dumps({
            "id": 3,
            "method": "Runtime.evaluate",
            "params": {"expression": extract_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        content = result.get('result', {}).get('result', {}).get('value', 'No content')
        
        return content

undefined

python3 gemini_query.py "範例問題：你的查詢問題"

python3 << 'EOF'
import asyncio
import websockets
import json

async def send_to_gemini():
    # Get WebSocket URL
    import subprocess
    result = subprocess.run(["curl", "-s", "http://localhost:9222/json"], capture_output=True, text=True)
    pages = json.loads(result.stdout)
    ws_url = next(p["webSocketDebuggerUrl"] for p in pages if "gemini.google.com" in p.get("url", ""))
    
    async with websockets.connect(ws_url) as ws:
        # Input query
        await ws.send(json.dumps({
            "id": 1,
            "method": "Runtime.evaluate",
            "params": {"expression": '''
                const editor = document.querySelector('div[contenteditable="true"]');
                editor.focus();
                document.execCommand('insertText', false, '範例問題：請分析比特幣未來的價格走勢');
                editor.dispatchEvent(new Event('input', {bubbles: true}));
            '''}
        }))
        await ws.recv()
        
        # Click send
        await asyncio.sleep(1)
        await ws.send(json.dumps({
            "id": 2,
            "method": "Runtime.evaluate",
            "params": {"expression": '''document.querySelector('button[aria-label="傳送訊息"]').click()'''}
        }))
        await ws.recv()
        
        # Wait and extract
        await asyncio.sleep(30)
        await ws.send(json.dumps({
            "id": 3,
            "method": "Runtime.evaluate",
            "params": {"expression": '''
                document.querySelectorAll('.markdown')[document.querySelectorAll('.markdown').length - 1].innerText
            '''}
        }))
        response = await ws.recv()
        print(json.loads(response)['result']['result']['value'])

asyncio.run(send_to_gemini())
EOF

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./.venv/bin/browser-use --browser real open "https://gemini.google.com/"

./.venv/bin/browser-use --browser real state

./.venv/bin/browser-use --browser real eval "const editor = document.querySelector('div[contenteditable=\"true\"]'); editor.focus(); document.execCommand('insertText', false, 'YOUR QUERY HERE'); editor.dispatchEvent(new Event('input', {bubbles: true}));"

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./.venv/bin/browser-use close

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import asyncio
import websockets
import json
import subprocess
import sys

async def query_gemini(query_text, wait_seconds=60):
    # Get the Gemini page WebSocket URL
    result = subprocess.run(
        ["curl", "-s", "http://localhost:9222/json"],
        capture_output=True, text=True
    )
    pages = json.loads(result.stdout)
    
    # Find Gemini page
    gemini_page = None
    for page in pages:
        if page.get("type") == "page" and "gemini.google.com" in page.get("url", ""):
            gemini_page = page
            break
    
    if not gemini_page:
        print("錯誤:找不到 Gemini 頁面。請確保 Chrome 已開啟 Gemini。")
        return None
    
    ws_url = gemini_page["webSocketDebuggerUrl"]
    print(f"正在連接到: {ws_url}")
    
    async with websockets.connect(ws_url) as ws:
        # Step 1: Input the query
        input_js = f'''
        const editor = document.querySelector('div[contenteditable="true"]');
        if(editor) {{
            editor.focus();
            document.execCommand('insertText', false, `{query_text}`);
            editor.dispatchEvent(new Event('input', {{bubbles: true}}));
            'success';
        }} else {{
            'editor not found';
        }}
        '''
        
        await ws.send(json.dumps({
            "id": 1,
            "method": "Runtime.evaluate",
            "params": {"expression": input_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        print(f"輸入結果: {result.get('result', {}).get('result', {}).get('value', 'unknown')}")
        
        # Step 2: Click send button
        await asyncio.sleep(1)
        click_js = '''
        const btn = document.querySelector('button[aria-label="傳送訊息"]');
        if(btn) { btn.click(); 'clicked'; } else { 'button not found'; }
        '''
        
        await ws.send(json.dumps({
            "id": 2,
            "method": "Runtime.evaluate",
            "params": {"expression": click_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        print(f"點擊結果: {result.get('result', {}).get('result', {}).get('value', 'unknown')}")
        
        # Step 3: Wait for response
        print(f"等待 {wait_seconds} 秒讓 Gemini 回應...")
        await asyncio.sleep(wait_seconds)
        
        # Step 4: Extract the response - try to get complete content
        extract_js = '''
        const markdownEls = document.querySelectorAll('.markdown');
        if(markdownEls.length > 0) {
            const lastMarkdown = markdownEls[markdownEls.length - 1];
            // Get all text content including nested elements
            lastMarkdown.innerText || lastMarkdown.textContent || 'Empty response';
        } else {
            'No response found';
        }
        '''
        
        await ws.send(json.dumps({
            "id": 3,
            "method": "Runtime.evaluate",
            "params": {"expression": extract_js}
        }))
        response = await ws.recv()
        result = json.loads(response)
        content = result.get('result', {}).get('result', {}).get('value', 'No content')
        
        return content

result = asyncio.run(query_gemini(query, wait_seconds=60))
print("\n" + "="*50)
print("GEMINI 回應:")
print("="*50)
print(result)

**執行方式:**

```bash
python3 query_gemini.py

import asyncio
import websockets
import json
import subprocess

async def get_all_gemini_content():
    # Get the Gemini page WebSocket URL
    result = subprocess.run(
        ["curl", "-s", "http://localhost:9222/json"],
        capture_output=True, text=True
    )
    pages = json.loads(result.stdout)
    
    # Find Gemini page
    gemini_page = None
    for page in pages:
        if page.get("type") == "page" and "gemini.google.com" in page.get("url", ""):
            gemini_page = page
            break
    
    if not gemini_page:
        print("錯誤:找不到 Gemini 頁面。")
        return None
    
    ws_url = gemini_page["webSocketDebuggerUrl"]
    print(f"正在連接到: {ws_url}\n")
    
    async with websockets.connect(ws_url) as ws:
        # Extract all markdown content from the page
        extract_js = '''
        (function() {
            const markdownEls = document.querySelectorAll('.markdown');
            console.log('Found markdown elements:', markdownEls.length);
            
            if(markdownEls.length === 0) {
                return 'No markdown elements found';
            }
            
            // Get the last two markdown elements (user query and AI response)
            const responses = [];
            const startIdx = Math.max(0, markdownEls.length - 2);
            
            for(let i = startIdx; i < markdownEls.length; i++) {
                const text = markdownEls[i].innerText || markdownEls[i].textContent || '';
                if(text.trim()) {
                    responses.push(`[回應 ${i+1}]:\\n${text}`);
                }
            }
            
            return responses.join('\\n\\n' + '='.repeat(80) + '\\n\\n');
        })()
        '''
        
        await ws.send(json.dumps({
            "id": 1,
            "method": "Runtime.evaluate",
            "params": {"expression": extract_js, "returnByValue": True}
        }))
        response = await ws.recv()
        result = json.loads(response)
        content = result.get('result', {}).get('result', {}).get('value', 'No content')
        
        return content

**執行方式:**

```bash
python3 get_gemini_response.py

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**最佳實踐:**

1. **每次使用後關閉 Chrome** - 避免佔用 9222 端口
2. **定期清理臨時設定檔** - `/tmp/chrome-gemini-profile` 可能佔用數百 MB
3. **保持工作目錄整潔** - 刪除測試腳本,將常用腳本整合到專案中
4. **使用完整腳本** - 將上述 `query_gemini.py` 儲存為專案文件,而非每次重新建立

---