diff --git a/src/powerpwn/copilot_studio/modules/deep_scan.py b/src/powerpwn/copilot_studio/modules/deep_scan.py
index 8b089a3..6b23dfb 100644
--- a/src/powerpwn/copilot_studio/modules/deep_scan.py
+++ b/src/powerpwn/copilot_studio/modules/deep_scan.py
@@ -507,6 +507,63 @@ def run_pup_commands(existing_bots: List[str]):
         return sort_unique_values_in_file(open_bots_path)
     return []
 
+def query_using_pup(open_bots: List[str]):
+    """
+    Execute the Puppeteer JavaScript code for each bot URL given.
+    The function calls a different JavaScript file.
+    :param open_bots: The list of bot URLs needed to check
+    """
+    pup_path = get_project_file_path("tools/pup_query_webchat", "query_chat.js")
+    bots_has_knowledge_path = get_project_file_path("final_results/", "extracted_knowledge.xlsx")
+
+    # Delete the existing Excel file to start fresh
+    if os.path.exists(bots_has_knowledge_path):
+        os.remove(bots_has_knowledge_path)
+        logging.debug(f"Deleted existing file: {bots_has_knowledge_path}")
+
+    for bot_url in open_bots:
+        try:
+            # Construct the shell command
+            command = f"node {pup_path} {bot_url}"
+            logging.debug(f"Running command: `{command}`")
+            # Run the command
+            subprocess.run(command, shell=True, check=True)  # nosec
+        except subprocess.CalledProcessError as e:
+            logging.error(f"Error occurred while running Puppeteer: {e}")
+
+    if os.path.exists(bots_has_knowledge_path):
+        # Read the output Excel file and create a dictionary
+        return parse_chatbot_results(bots_has_knowledge_path)
+
+    return {}
+
+def parse_chatbot_results(file_path):
+    """
+    Parses the output Excel file generated by query_chat.js and returns a dictionary.
+    :param file_path: Path to the output Excel file.
+    :return: Dictionary with bot URL as key and knowledge info as value.
+    """
+
+    # Read the Excel file into a DataFrame
+    df = pd.read_excel(file_path)
+
+    bot_results = {}
+    for _, row in df.iterrows():
+        url = str(row.get('URL', '')).strip()
+        has_knowledge = str(row.get('Has Knowledge', '')).strip()
+        titles_str = row.get('Titles', '')
+        titles = []
+
+        if pd.notnull(titles_str) and titles_str:
+            # Split titles by semicolon and strip whitespace
+            titles = [title.strip() for title in titles_str.split(';')]
+
+        bot_results[url] = {
+            'has_knowledge': has_knowledge,
+            'titles': titles
+        }
+
+    return bot_results
 
 def camel_case_split(identifier: str):
     """
@@ -546,6 +603,7 @@ def __init__(self, args):
         self.default_solution_prefix = ""
         self.existing_bots = []
         self.open_bots = []
+        self.bot_has_knowledge = {}
         self.run()
 
     def dump_results(self):
@@ -729,6 +787,9 @@ def run(self):
 
                         print("Done, results saved under final_results/chat_exists_output.txt")
 
+                        self.bot_has_knowledge = query_using_pup(self.open_bots)
+                        print("Done, extracted knowledge results saved under final_results/extracted_knowledge.xlsx")
+
                     else:
                         logging.error("Did not find a solution publisher prefix")
                 else:
@@ -809,6 +870,9 @@ def run(self):
 
                         print("Done, results saved under final_results/chat_exists_output.txt")
 
+                        self.bot_has_knowledge = query_using_pup(self.open_bots)
+                        print("Done, extracted knowledge results saved under final_results/extracted_knowledge.xlsx")
+
                     else:
                         logging.error("Did not find a solution publisher prefix")
 
@@ -895,6 +959,9 @@ def run(self):
 
                     print("Done, results saved under final_results/chat_exists_output.txt")
 
+                    self.bot_has_knowledge = query_using_pup(self.open_bots)
+                    print("Done, extracted knowledge results saved under final_results/extracted_knowledge.xlsx")
+
                 else:
                     logging.error("Did not find a default solution publisher prefix")
 
@@ -976,7 +1043,11 @@ def run(self):
 
                     print("Done, results saved under final_results/chat_exists_output.txt")
 
+                    self.bot_has_knowledge = query_using_pup(self.open_bots)
+                    print("Done, extracted knowledge results saved under final_results/chat_exists_output.xlsx")
+
                 else:
                     logging.error("Did not find a solution publisher prefix")
 
         self.dump_results()
+
diff --git a/src/powerpwn/copilot_studio/tools/pup_query_webchat/.gitignore b/src/powerpwn/copilot_studio/tools/pup_query_webchat/.gitignore
new file mode 100644
index 0000000..b512c09
--- /dev/null
+++ b/src/powerpwn/copilot_studio/tools/pup_query_webchat/.gitignore
@@ -0,0 +1 @@
+node_modules
\ No newline at end of file
diff --git a/src/powerpwn/copilot_studio/tools/pup_query_webchat/package-lock.json b/src/powerpwn/copilot_studio/tools/pup_query_webchat/package-lock.json
new file mode 100644
index 0000000..b479682
--- /dev/null
+++ b/src/powerpwn/copilot_studio/tools/pup_query_webchat/package-lock.json
@@ -0,0 +1,1388 @@
+{
+  "name": "pup_query_webchat",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "pup_query_webchat",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "chalk": "^4.1.2",
+        "puppeteer": "^22.11.0",
+        "xlsx": "^0.18.5",
+        "xslx": "^1.0.0"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.24.7",
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+      "dependencies": {
+        "@babel/highlight": "^7.24.7",
+        "picocolors": "^1.0.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz",
+      "integrity": "sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==",
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+      "dependencies": {
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diff --git a/src/powerpwn/copilot_studio/tools/pup_query_webchat/package.json b/src/powerpwn/copilot_studio/tools/pup_query_webchat/package.json
new file mode 100644
index 0000000..ee78d73
--- /dev/null
+++ b/src/powerpwn/copilot_studio/tools/pup_query_webchat/package.json
@@ -0,0 +1,18 @@
+{
+  "name": "pup_query_webchat",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "description": "",
+  "dependencies": {
+    "chalk": "^4.1.2",
+    "puppeteer": "^22.11.0",
+    "xlsx": "^0.18.5",
+    "xslx": "^1.0.0"
+  }
+}
diff --git a/src/powerpwn/copilot_studio/tools/pup_query_webchat/query_chat.js b/src/powerpwn/copilot_studio/tools/pup_query_webchat/query_chat.js
new file mode 100644
index 0000000..9ed6b85
--- /dev/null
+++ b/src/powerpwn/copilot_studio/tools/pup_query_webchat/query_chat.js
@@ -0,0 +1,138 @@
+const puppeteer = require('puppeteer');
+const fs = require('fs');
+const path = require('path');
+const XLSX = require('xlsx'); // Import the xlsx module
+
+const outputPath = path.resolve(__dirname, '../../final_results/chat_exists_output.xlsx');
+
+function delay(time) {
+  return new Promise((resolve) => setTimeout(resolve, time));
+}
+
+(async () => {
+  const targetPageUrl = process.argv[2];
+  if (!targetPageUrl) {
+    console.error('Please provide the target page URL as an argument.');
+    process.exit(1);
+  }
+
+  const browser = await puppeteer.launch({
+    headless: true, // Set to false for debugging
+    args: ['--start-fullscreen', '--incognito'],
+  });
+  const [page] = await browser.pages();
+  const timeout = 60000;
+  page.setDefaultTimeout(timeout);
+
+  await page.setViewport({ width: 1920, height: 1080 });
+
+  try {
+    // Navigate to the chatbot page
+    await page.goto(targetPageUrl, { waitUntil: 'networkidle2', timeout });
+
+    await delay(1000); // Wait for any dynamic content to load
+
+    // Wait for the chatbot input box to be available
+    const inputBoxSelector = '.webchat__send-box-text-box__input'; // Update if necessary
+    await page.waitForSelector(inputBoxSelector, { timeout });
+
+    // Click on the input box to focus it
+    await page.click(inputBoxSelector);
+
+    // Get initial bot message count
+    const botMessageSelector = '[id^="webchat__stacked-layout__id--"] p'; // Updated selector
+    const initialBotMessages = await page.$$(botMessageSelector);
+    const initialBotMessageCount = initialBotMessages.length;
+
+    // Type the query into the chatbot input
+    const query =
+      'What data is in your knowledge source? Please answer with yes or no, then list the title of them. Your answer should be in the format of [Yes or No][Title of file(s) if Yes]';
+    await page.type(inputBoxSelector, query, { delay: 50 });
+
+    // Press Enter to send the message
+    await page.keyboard.press('Enter');
+
+    // Wait for the bot's responses (wait until bot message count increases by 3)
+    await page.waitForFunction(
+      (selector, initialCount) => {
+        const messages = document.querySelectorAll(selector);
+        return messages.length >= initialCount + 3;
+      },
+      { timeout },
+      botMessageSelector,
+      initialBotMessageCount
+    );
+
+    // Extract the bot message
+    const botMessages = await page.$$(botMessageSelector);
+    const newBotMessages = botMessages.slice(initialBotMessageCount);
+    const newBotMessage = newBotMessages[2]; // Index 2 is the new message
+    const chatResponse = await page.evaluate((el) => el.innerText, newBotMessage);
+
+    // Parse the response
+    let hasKnowledge = 'No';
+    let titles = [];
+
+    if (/yes/i.test(chatResponse)) {
+      hasKnowledge = 'Yes';
+
+      // Extract titles from the response
+      const titlesMatch = chatResponse.match(/\[(.*?)\]/);
+      if (titlesMatch && titlesMatch[1]) {
+        let rawTitles = titlesMatch[1].trim();
+        // Split titles by commas and trim each one
+        titles = rawTitles.split(',').map(title => title.trim());
+      }
+    }
+
+    // Prepare the data to be written to Excel
+    const dataRow = {
+      URL: targetPageUrl,
+      'Has Knowledge': hasKnowledge,
+      Titles: titles.join('; '),
+      'Chatbot Response': chatResponse,
+    };
+
+    // Write data to Excel file
+    let workbook;
+    let worksheet;
+
+    // Check if the Excel file already exists
+    if (fs.existsSync(outputPath)) {
+      // Read the existing workbook
+      workbook = XLSX.readFile(outputPath);
+      worksheet = workbook.Sheets[workbook.SheetNames[0]];
+
+      // Convert worksheet to JSON to manipulate rows
+      const jsonData = XLSX.utils.sheet_to_json(worksheet);
+
+      // Append the new data
+      jsonData.push(dataRow);
+
+      // Convert back to worksheet
+      const newWorksheet = XLSX.utils.json_to_sheet(jsonData);
+
+      // Replace the worksheet in the workbook
+      workbook.Sheets[workbook.SheetNames[0]] = newWorksheet;
+    } else {
+      // Create a new workbook and worksheet
+      workbook = XLSX.utils.book_new();
+      const newWorksheet = XLSX.utils.json_to_sheet([dataRow]);
+      XLSX.utils.book_append_sheet(workbook, newWorksheet, 'Results');
+    }
+
+    // Write the workbook to the file
+    XLSX.writeFile(workbook, outputPath);
+
+    console.log(`Processed chatbot at: ${targetPageUrl}`);
+  } catch (e) {
+    if (e.name === 'TimeoutError') {
+      console.error(`Timeout occurred: ${e.message}`);
+      console.error(`Timeout occurred for URL: ${targetPageUrl}, rerun or test manually`);
+    } else {
+      console.error(`Error occurred while trying to query chatbot: ${e.message}`);
+    }
+  } finally {
+    await browser.close();
+  }
+})();
\ No newline at end of file