Linux, Python, vim, git & nix LPvgn Short Stack
Future-proof your skills and escape the tech hamster wheel with Linux, Python, vim & git — now with nix (LPvgn), an AI stack to resist obsolescence. Follow along as I build next generation AI/SEO tools for porting Jupyter Notebooks to FastHTML / HTMX Web apps using the Pipulate free AI SEO software.

Wrestling Undetected-Chromedriver & Persistence in NixOS

This entry details a challenging and ultimately successful journey through a ‘deep rabbit hole’ of stealth browser automation, specifically integrating undetected-chromedriver with persistence on NixOS. The author highlights the frustration of an ‘arms race’ against anti-bot measures and the value of a ‘Roomba Robot’ (iterative, persistent) problem-solving approach. They emphasize the utility of git diff for progress tracking during exhaustion and the critical role of AI collaboration in pinpointing the obscure NixOS-specific exit code 127 errors related to both browser and driver executable paths. The narrative captures the raw experience of debugging a complex environmental issue, culminating in a triumphant ‘Dayton Wind Tunnel success assured’ moment.

Setting the Stage: Context for the Curious Book Reader

This entry documents a pivotal moment in the ongoing “Stealth Browser Automation Series,” focusing on a particularly thorny technical challenge. It chronicles the deep dive into implementing undetected-chromedriver with browser session persistence within a unique NixOS environment, an endeavor that pushed the boundaries of traditional debugging. Readers will witness a real-time account of overcoming complex exit code 127 errors and sophisticated anti-bot mechanisms, showcasing the power of persistent problem-solving, AI collaboration, and precise environmental configuration. This journal serves as a testament to the iterative nature of engineering and the wins that fuel progress, no matter how small.


Technical Journal Entry Begins

This is the part 2 of the stealth browser automation series and boy did I dive down a deep rabbit hole. But it’s still today so that’s okay. I didn’t do too bad. Getting into these arms races sucks. You have to make sure you’re working off the very latest tools without trying to do them personally yourself, for that rabbit hole is very, very deep.

The Marathon of Stealth Automation

I managed to get to the end of Wonderland on this one. I didn’t have the choice not to… oh, I don’t know… fail. This is one of those failure is not an option situations.

Sometimes the rabbit holes are the critical dependencies to the project that you must create an adequate solution for. Even if you give up on one particular approach, you would have to find another way even if it’s doing it manually. And that… that… that… is not an option. So much invested into this Selenium route that switching to the Chrome/Puppeteer route even though Google put out an MCP server recently would have all those same multi-platform issues and the corresponding whack-a-mole game. And there is no time for that.

I committed to the Selenium route because it works so well cross-platform (Macs, Windows and Linux). It runs from Nix Flakes real well in this write once run anywhere way and with browser automation, that’s no small feat. I’ve been like training for decades for this kind of work. I’m your guy to figure out these impossiscripts.

I’ll get to the Google Puppeteer MCP Chrome automation server eventually too… support that too… later.

I had to fix Selenium not crawling one particularly adept site at fighting off the bots.

Embracing the “Roomba Robot” Approach

Did I mention the Roomba Robot? Particularly the early versions with random walk and not a lot of real machine intelligence? Back-up, turn a bit, retry. Back-up, turn a bit, retry. Do this ad infinitum and you shall eventually solve the problem.

This is approximately the same problem solving method as having infinite monkeys on infinite typewriters until they reproduce the works of William Shakespeare. And sometimes it works. Today it worked. It was not a sure thing. And my credibility is on the line. It was touch and go there for a minute.

But it’s only 11:00 PM and the meeting isn’t until 11:00 AM tomorrow morning. That’s a cool 12 hours. And I also have a client meeting to prepare for that comes immediately on its tail. And I am totally on my 2nd wind and way past diminishing returns.

Leveraging Git Diffs for Progress Tracking

Have I mentioned git diff’s as a way of pinning up progress? That sort of fuzzy-mindedness that sets in when you’re pushing yourself real hard and you start to forget things. Things can’t be forgot with git diff’s.

Okay, so I had to ask for the implementation plan again. That last one wasn’t bad but I really had to nail it. It was a nice short prompt:

Help me update scraper_tools.py to properly use undetected-chromedriver

Notice the techniques that are used to make a persistent browser user
profile. That would probably be good in the Notebooks folder for persistence
the same way I do data, logs and browser_cache.

So the idea is to have a nice undetectable Selenium browser  by improving
what I have in scraper_tools.py to use the undetected-chromedriver and add
browser persistence.

There are several innovations here having to do with ensuring session persistence. It’s just a wee bit different.

The Implementation Plan: Undetected-Chromedriver & Persistence

Gemini: Context verified.

Of course. Using undetected-chromedriver is a great way to improve the reliability of your browser automation. I’ll help you integrate it into scraper_tools.py and add a straightforward way to manage persistent browser profiles, drawing inspiration from your existing 440_browser_automation.py workflow.

Here’s a breakdown of the plan:

  1. Update scraper_tools.py: We’ll replace the current selenium-stealth and seleniumwire implementation with undetected-chromedriver.
  2. Add Persistence: We’ll introduce persistent and profile_name parameters to the scrape function, allowing you to save and reuse browser sessions (cookies, logins, etc.).
  3. Organize Profiles: A new data/uc_profiles/ directory will be created to store these persistent profiles, keeping them organized alongside your other project data.
  4. Update the Call Chain: I’ll show you the minor changes needed in pipulate/core.py and Notebooks/secretsauce.py to pass the new persistence options through.
  5. Provide a Usage Example: You’ll see exactly how to call the updated function from your FAQuilizer.ipynb notebook.

1. Updated tools/scraper_tools.py

This updated version integrates undetected-chromedriver and handles both temporary and persistent profiles.

# /home/mike/repos/pipulate/tools/scraper_tools.py
# /home/mike/repos/pipulate/tools/scraper_tools.py
import asyncio
import json
import os
import sys
import shutil
import tempfile
from datetime import datetime
from pathlib import Path
from urllib.parse import quote, urlparse

from loguru import logger
import undetected_chromedriver as uc
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By

from tools import auto_tool
from . import dom_tools

def get_safe_path_component(url: str) -> tuple[str, str]:
    """Converts a URL into filesystem-safe components for directory paths."""
    parsed = urlparse(url)
    domain = parsed.netloc
    path = parsed.path
    if not path or path == '/':
        path_slug = "%2F"
    else:
        path_slug = quote(path, safe='').replace('/', '_')[:100]
    return domain, path_slug

@auto_tool
async def selenium_automation(params: dict) -> dict:
    """
    Performs an advanced browser automation scrape of a single URL using undetected-chromedriver.
    Supports persistent profiles to maintain sessions across runs.
    Captures artifacts including DOM, source, headers, screenshot, and visual DOM layouts.
    """
    url = params.get("url")
    domain = params.get("domain")
    url_path_slug = params.get("url_path_slug")
    take_screenshot = params.get("take_screenshot", False)
    headless = params.get("headless", True)
    is_notebook_context = params.get("is_notebook_context", False)
    persistent = params.get("persistent", False)
    profile_name = params.get("profile_name", "default")
    verbose = params.get("verbose", True)

    if not all([url, domain, url_path_slug is not None]):
        return {"success": False, "error": "URL, domain, and url_path_slug parameters are required."}

    driver = None
    artifacts = {}
    profile_path = None
    temp_profile = False

    base_dir = Path("browser_cache/")
    if not is_notebook_context:
        base_dir = base_dir / "looking_at"
    
    output_dir = base_dir / domain / url_path_slug

    try:
        if output_dir.exists():
            if verbose: logger.info(f"🗑️ Clearing existing artifacts in: {output_dir}")
            shutil.rmtree(output_dir)
        output_dir.mkdir(parents=True, exist_ok=True)
        if verbose: logger.info(f"💾 Saving new artifacts to: {output_dir}")

        options = uc.ChromeOptions()
        if headless:
            options.add_argument("--headless")
        options.add_argument("--no-sandbox")
        options.add_argument("--disable-dev-shm-usage")
        options.add_argument("--start-maximized")
        options.add_argument("--window-size=1920,1080")

        if persistent:
            profile_path = Path(f"data/uc_profiles/{profile_name}")
            profile_path.mkdir(parents=True, exist_ok=True)
            logger.info(f"🔒 Using persistent profile: {profile_path}")
        else:
            profile_path = tempfile.mkdtemp(prefix='pipulate_automation_')
            temp_profile = True
            logger.info(f"👻 Using temporary profile: {profile_path}")
        
        logger.info(f"🚀 Initializing undetected-chromedriver (Headless: {headless})...")
        driver = uc.Chrome(options=options, user_data_dir=str(profile_path))

        logger.info(f"Navigating to: {url}")
        driver.get(url)

        try:
            if verbose: logger.info("Waiting for security challenge to trigger a reload (Stage 1)...")
            initial_body = driver.find_element(By.TAG_NAME, 'body')
            WebDriverWait(driver, 20).until(EC.staleness_of(initial_body))
            if verbose: logger.success("✅ Page reload detected!")
            
            if verbose: logger.info("Waiting for main content to appear after reload (Stage 2)...")
            WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "body")))
            if verbose: logger.success("✅ Main content located!")
        except Exception as e:
            if verbose: logger.warning(f"Did not detect a page reload for security challenge. Proceeding anyway. Error: {e}")

        # --- Capture Core Artifacts ---
        dom_path = output_dir / "rendered_dom.html"
        dom_path.write_text(driver.execute_script("return document.documentElement.outerHTML;"), encoding='utf-8')
        artifacts['rendered_dom'] = str(dom_path)
        
        source_path = output_dir / "source_html.text"
        source_path.write_text(driver.page_source, encoding='utf-8')
        artifacts['source_html'] = str(source_path)

        if take_screenshot:
            screenshot_path = output_dir / "screenshot.png"
            driver.save_screenshot(str(screenshot_path))
            artifacts['screenshot'] = str(screenshot_path)

        # --- Generate Visualization Artifacts ---
        if verbose: logger.info(f"🎨 Generating DOM box visualization...")
        viz_result = await dom_tools.visualize_dom_boxes({"file_path": str(dom_path), "verbose": False})
        if viz_result.get("success"):
            viz_path = output_dir / "dom_layout_boxes.txt"
            viz_path.write_text(viz_result["output"], encoding='utf-8')
            artifacts['dom_layout_boxes'] = str(viz_path)
        
        if verbose: logger.info(f"🌳 Generating DOM hierarchy visualization...")
        hierarchy_viz_result = await dom_tools.visualize_dom_hierarchy({"file_path": str(dom_path), "verbose": False})
        if hierarchy_viz_result.get("success"):
            hierarchy_viz_path = output_dir / "dom_hierarchy.txt"
            hierarchy_viz_path.write_text(hierarchy_viz_result["output"], encoding='utf-8')
            artifacts['dom_hierarchy'] = str(hierarchy_viz_path)
            
        # --- Generate Accessibility Tree Artifact ---
        if verbose: logger.info("🌲 Extracting accessibility tree...")
        try:
            driver.execute_cdp_cmd("Accessibility.enable", {})
            ax_tree_result = driver.execute_cdp_cmd("Accessibility.getFullAXTree", {})
            ax_tree = ax_tree_result.get("nodes", [])
            ax_tree_path = output_dir / "accessibility_tree.json"
            ax_tree_path.write_text(json.dumps({"success": True, "node_count": len(ax_tree), "accessibility_tree": ax_tree}, indent=2), encoding='utf-8')
            artifacts['accessibility_tree'] = str(ax_tree_path)

            summary_result = await dom_tools.summarize_accessibility_tree({"file_path": str(ax_tree_path)})
            if summary_result.get("success"):
                summary_path = output_dir / "accessibility_tree_summary.txt"
                summary_path.write_text(summary_result["output"], encoding='utf-8')
                artifacts['accessibility_tree_summary'] = str(summary_path)
        except Exception as ax_error:
            logger.warning(f"⚠️ Could not extract accessibility tree: {ax_error}")

        logger.success(f"✅ Scrape successful for {url}")
        return {"success": True, "looking_at_files": artifacts}

    except Exception as e:
        logger.error(f"❌ Scrape failed for {url}: {e}", exc_info=True)
        return {"success": False, "error": str(e), "looking_at_files": artifacts}

    finally:
        if driver:
            driver.quit()
            if verbose: logger.info("Browser closed.")
        if temp_profile and profile_path and os.path.exists(profile_path):
             shutil.rmtree(profile_path)
             if verbose: logger.info(f"Cleaned up temporary profile: {profile_path}")

2. Updating the Call Chain

To use the new options, you need to pass them down from your notebook to the selenium_automation function.

pipulate/core.py

Update the scrape method to accept and pass through the new arguments.

# /home/mike/repos/pipulate/pipulate/core.py
# Add persistent=False and profile_name=None to the function signature
async def scrape(self, url: str, take_screenshot: bool = False, mode: str = 'selenium', headless: bool = True, verbose: bool = True, persistent: bool = False, profile_name: str = "default", **kwargs):
    """
    Gives AI "eyes" by performing browser automation or HTTP requests to scrape a URL.

    This method is the primary entrypoint for scraping and supports multiple modes.
    The default mode is 'selenium' which uses a full browser.

    Args:
        url (str): The URL to scrape.
        take_screenshot (bool): Whether to capture a screenshot (selenium mode only). Defaults to False.
        mode (str): The scraping mode to use ('selenium', 'requests', etc.). Defaults to 'selenium'.
        headless (bool): Whether to run the browser in headless mode (selenium mode only). Defaults to True.
        persistent (bool): Whether to use a persistent browser profile. Defaults to False.
        profile_name (str): The name of the persistent profile to use. Defaults to "default".
        **kwargs: Additional parameters to pass to the underlying automation tool.

    Returns:
        dict: The result from the scraper tool, including paths to captured artifacts.
    """
    from tools.scraper_tools import selenium_automation
    from urllib.parse import urlparse, quote
    from datetime import datetime

    logger.info(f"👁️‍🗨️ Initiating scrape for: {url} (Mode: {mode}, Headless: {headless}, Persistent: {persistent})")

    # --- New Directory Logic ---
    parsed_url = urlparse(url)
    domain = parsed_url.netloc
    path = parsed_url.path or '/'
    # Use quote with an empty safe string to encode everything, including slashes
    url_path_slug = quote(path, safe='')

    params = {
        "url": url,
        "domain": domain,
        "url_path_slug": url_path_slug,
        "take_screenshot": take_screenshot,
        "headless": headless,
        "is_notebook_context": self.is_notebook_context, # Pass the context flag
        "verbose": verbose,
        "persistent": persistent,
        "profile_name": profile_name,
        **kwargs # Pass through any other params
    }

    if mode == 'selenium':
        try:
            result = await selenium_automation(params)
            return result
        except Exception as e:
            logger.error(f"❌ Advanced scrape failed for {url}: {e}")
            return {"success": False, "error": str(e)}
    else:
        logger.warning(f"Scrape mode '{mode}' is not yet implemented.")
        return {"success": False, "error": f"Mode '{mode}' not implemented."}

Notebooks/secretsauce.py

Update the scrape_and_extract function to accept and pass the new arguments.

# /home/mike/repos/pipulate/notebooks/secretsauce.py
# Add persistent and profile_name to the function signature
async def scrape_and_extract(job: str, headless: bool = True, verbose: bool = False, stealth: bool = True, persistent: bool = False, profile_name: str = "default"):
    """
    Scrapes each URL using pip.scrape() and immediately parses the HTML
    to extract key SEO data. Verbosity is now controllable.
    """
    print("🚀 Starting browser-based scraping and extraction...")
    
    # --- NEW: Read fresh URLs from the notebook and update the state ---
    fresh_urls = _get_urls_from_notebook()
    if fresh_urls:
        print(f"✨ Found {len(fresh_urls)} URLs in the notebook.")
        pip.set(job, URL_LIST_STEP, fresh_urls)
    # --------------------------------------------------------------------

    urls_to_process = pip.get(job, URL_LIST_STEP, [])
    if not urls_to_process:
        print("❌ No URLs to process. Please add them to the 'url-list-input' cell in your notebook.")
        return

    extracted_data = []

    for i, url in enumerate(urls_to_process):
        print(f"  -> 👁️  [{i+1}/{len(urls_to_process)}] Processing: {url}")
        
        try:
            scrape_result = await pip.scrape(
                url=url,
                take_screenshot=True,
                headless=headless,
                verbose=verbose,
                stealth=stealth,
                persistent=persistent,        # Pass persistent flag
                profile_name=profile_name     # Pass profile name
            )
            # ... (the rest of the function remains the same) ...

3. Usage Example in FAQuilizer.ipynb

Now you can easily control persistence directly from your notebook cell. For example, to run the scrape with a persistent session named “my_session”, you would change the call like this:

# /home/mike/repos/pipulate/notebooks/faquilizer.ipynb
# This cell now uses a persistent profile, which is great for sites that require logins.
# The session data will be saved in data/uc_profiles/my_session/
await secretsauce.scrape_and_extract(
    job, 
    headless=False, 
    verbose=False, 
    persistent=True, 
    profile_name="my_session"
)

With these changes, you have a much more powerful and flexible scraping tool that’s harder to detect and can maintain sessions between runs.

The Golden Commit: Validating the Diff

Me: Okay, here’s the diff. I mentioned up top this concept of pinning the diff. Once you do this your mind can go fuzzy from exhaustion and the machine helping you still has perfect clarity. If you lock-in a golden commit in your git repo, that whole Roomba back-up and retry becomes rapidly iterative and you can use this binary search algorithm to progressively keep dividing in half what could be wrong and pinpoint it.

That’s what I did. Here’s the diff.

[mike@nixos:~/repos/pipulate]$ git --no-pager diff
diff --git a/pipulate/core.py b/pipulate/core.py
index 9a2d9a54..f06cc4b0 100644
--- a/pipulate/core.py
+++ b/pipulate/core.py
@@ -1881,37 +1881,39 @@ class Pipulate:
         state = self.read_state(job)
         return state.get(step, default)
 
-    # START: scrape_method
-    async def scrape(self, url: str, take_screenshot: bool = False, mode: str = 'selenium', headless: bool = True, verbose: bool = True, **kwargs):
+    # Add persistent=False and profile_name=None to the function signature
+    async def scrape(self, url: str, take_screenshot: bool = False, mode: str = 'selenium', headless: bool = True, verbose: bool = True, persistent: bool = False, profile_name: str = "default", **kwargs):
         """
         Gives AI "eyes" by performing browser automation or HTTP requests to scrape a URL.
-    
+
         This method is the primary entrypoint for scraping and supports multiple modes.
         The default mode is 'selenium' which uses a full browser.
-    
+
         Args:
             url (str): The URL to scrape.
             take_screenshot (bool): Whether to capture a screenshot (selenium mode only). Defaults to False.
             mode (str): The scraping mode to use ('selenium', 'requests', etc.). Defaults to 'selenium'.
             headless (bool): Whether to run the browser in headless mode (selenium mode only). Defaults to True.
+            persistent (bool): Whether to use a persistent browser profile. Defaults to False.
+            profile_name (str): The name of the persistent profile to use. Defaults to "default".
             **kwargs: Additional parameters to pass to the underlying automation tool.
-    
+
         Returns:
             dict: The result from the scraper tool, including paths to captured artifacts.
         """
         from tools.scraper_tools import selenium_automation
         from urllib.parse import urlparse, quote
         from datetime import datetime
-    
-        logger.info(f"👁️‍🗨️ Initiating scrape for: {url} (Mode: {mode}, Headless: {headless})")
-    
+
+        logger.info(f"👁️‍🗨️ Initiating scrape for: {url} (Mode: {mode}, Headless: {headless}, Persistent: {persistent})")
+
         # --- New Directory Logic ---
         parsed_url = urlparse(url)
         domain = parsed_url.netloc
         path = parsed_url.path or '/'
         # Use quote with an empty safe string to encode everything, including slashes
         url_path_slug = quote(path, safe='')
-    
+
         params = {
             "url": url,
             "domain": domain,
@@ -1920,9 +1922,11 @@ class Pipulate:
             "headless": headless,
             "is_notebook_context": self.is_notebook_context, # Pass the context flag
             "verbose": verbose,
+            "persistent": persistent,
+            "profile_name": profile_name,
             **kwargs # Pass through any other params
         }
-    
+
         if mode == 'selenium':
             try:
                 result = await selenium_automation(params)
@@ -1933,8 +1937,6 @@ class Pipulate:
         else:
             logger.warning(f"Scrape mode '{mode}' is not yet implemented.")
             return {"success": False, "error": f"Mode '{mode}' not implemented."}
-    # END: scrape_method
-
 
     def _find_project_root(self, start_path):
         """Walks up from a starting path to find the project root (marked by 'flake.nix')."""
diff --git a/requirements.in b/requirements.in
index b8bd294c..c821ea90 100644
--- a/requirements.in
+++ b/requirements.in
@@ -41,8 +41,8 @@ uvicorn
 selenium
 selenium-wire
 selenium-stealth
-undetected-chromedriver
 webdriver-manager
+undetected-chromedriver
 
 # Data Science and Plotting
 matplotlib
diff --git a/tools/scraper_tools.py b/tools/scraper_tools.py
index 3644f732..70f9d7e4 100644
--- a/tools/scraper_tools.py
+++ b/tools/scraper_tools.py
@@ -1,21 +1,19 @@
 # /home/mike/repos/pipulate/tools/scraper_tools.py
+import faulthandler
+faulthandler.enable()
+
 import asyncio
 import json
 import os
 import sys
 import shutil
+import tempfile
 from datetime import datetime
 from pathlib import Path
 from urllib.parse import quote, urlparse
 
 from loguru import logger
-from selenium.webdriver.chrome.options import Options
-from selenium.webdriver.chrome.service import Service
-from seleniumwire import webdriver as wire_webdriver
-from webdriver_manager.chrome import ChromeDriverManager
-from selenium_stealth import stealth
-from selenium import webdriver
-
+import undetected_chromedriver as uc
 from selenium.webdriver.support.ui import WebDriverWait
 from selenium.webdriver.support import expected_conditions as EC
 from selenium.webdriver.common.by import By
@@ -37,28 +35,27 @@ def get_safe_path_component(url: str) -> tuple[str, str]:
 @auto_tool
 async def selenium_automation(params: dict) -> dict:
     """
-    Performs an advanced browser automation scrape of a single URL.
-    Captures a rich set of artifacts including DOM, source, headers, screenshot,
-    and visual DOM layouts as ASCII art.
+    Performs an advanced browser automation scrape of a single URL using undetected-chromedriver.
+    Supports persistent profiles to maintain sessions across runs.
+    Captures artifacts including DOM, source, headers, screenshot, and visual DOM layouts.
     """
-    verbose = params.get("verbose", True)
     url = params.get("url")
     domain = params.get("domain")
     url_path_slug = params.get("url_path_slug")
     take_screenshot = params.get("take_screenshot", False)
     headless = params.get("headless", True)
     is_notebook_context = params.get("is_notebook_context", False)
-
-    options = webdriver.ChromeOptions()
-    options.add_experimental_option("excludeSwitches", ["enable-automation"])
-    options.add_experimental_option('useAutomationExtension', False)
-
+    persistent = params.get("persistent", False)
+    profile_name = params.get("profile_name", "default")
+    verbose = params.get("verbose", True)
 
     if not all([url, domain, url_path_slug is not None]):
         return {"success": False, "error": "URL, domain, and url_path_slug parameters are required."}
 
     driver = None
     artifacts = {}
+    profile_path = None
+    temp_profile = False
 
     base_dir = Path("browser_cache/")
     if not is_notebook_context:
@@ -68,142 +65,92 @@ async def selenium_automation(params: dict) -> dict:
 
     try:
         if output_dir.exists():
-            logger.info(f"🗑️ Clearing existing artifacts in: {output_dir}")
+            if verbose: logger.info(f"🗑️ Clearing existing artifacts in: {output_dir}")
             shutil.rmtree(output_dir)
         output_dir.mkdir(parents=True, exist_ok=True)
-        logger.info(f"💾 Saving new artifacts to: {output_dir}")
+        if verbose: logger.info(f"💾 Saving new artifacts to: {output_dir}")
 
-        chrome_options = Options()
+        options = uc.ChromeOptions()
         if headless:
-            chrome_options.add_argument("--headless")
-        chrome_options.add_argument("--no-sandbox")
-        chrome_options.add_argument("--disable-dev-shm-usage")
-        chrome_options.add_argument("--start-maximized")
-        chrome_options.add_argument("--window-size=1920,1080")
-
-        effective_os = os.environ.get('EFFECTIVE_OS', sys.platform)
-        service = Service(ChromeDriverManager().install()) if effective_os == 'darwin' else Service()
-
-        logger.info(f"🚀 Initializing Chrome driver (Headless: {headless})...")
-        driver = wire_webdriver.Chrome(service=service, options=chrome_options)
-
-        stealth(driver,
-            languages=["en-US", "en"],
-            vendor="Google Inc.",
-            platform="Win32",
-            webgl_vendor="Intel Inc.",
-            renderer="Intel Iris OpenGL Engine",
-            fix_hairline=True,
-        )
-
-        # --- ADD THIS BLOCK TO MANUALLY HIDE THE WEBDRIVER FLAG ---
-        driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
-            "source": "Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
-        })
+            options.add_argument("--headless")
+        options.add_argument("--no-sandbox")
+        options.add_argument("--disable-dev-shm-usage")
+        options.add_argument("--start-maximized")
+        options.add_argument("--window-size=1920,1080")
+
+        if persistent:
+            profile_path = Path(f"data/uc_profiles/{profile_name}")
+            profile_path.mkdir(parents=True, exist_ok=True)
+            logger.info(f"🔒 Using persistent profile: {profile_path}")
+        else:
+            profile_path = tempfile.mkdtemp(prefix='pipulate_automation_')
+            temp_profile = True
+            logger.info(f"👻 Using temporary profile: {profile_path}")
+        
+        logger.info(f"🚀 Initializing undetected-chromedriver (Headless: {headless})...")
+        driver = uc.Chrome(options=options, user_data_dir=str(profile_path))
 
         logger.info(f"Navigating to: {url}")
         driver.get(url)
 
-
-
-        # --- NEW: Two-stage wait for challenge pages that reload ---
         try:
-            logger.info("Waiting for security challenge to trigger a reload (Stage 1)...")
-            # Grab a reference to the body of the initial challenge page
+            if verbose: logger.info("Waiting for security challenge to trigger a reload (Stage 1)...")
             initial_body = driver.find_element(By.TAG_NAME, 'body')
-
-            # Wait up to 20 seconds for the challenge to solve and location.reload() to be called.
-            # This is detected by waiting for the initial body element to go stale.
             WebDriverWait(driver, 20).until(EC.staleness_of(initial_body))
-            logger.success("✅ Page reload detected!")
-
-            logger.info("Waiting for main content to appear after reload (Stage 2)...")
-            # Now that the page has reloaded, wait up to 10 seconds for the actual content.
-            # Change 'main-content' to a selector that exists on your final target page.
-            WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, "main-content")))
-            logger.success("✅ Main content located!")
-
+            if verbose: logger.success("✅ Page reload detected!")
+            
+            if verbose: logger.info("Waiting for main content to appear after reload (Stage 2)...")
+            WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "body")))
+            if verbose: logger.success("✅ Main content located!")
         except Exception as e:
-            logger.warning(f"Did not detect the expected page lifecycle for the security challenge. Proceeding anyway. Error: {e}")
-            # If the wait fails, we can still try to capture the page as-is.
-
-
+            if verbose: logger.warning(f"Did not detect a page reload for security challenge. Proceeding anyway. Error: {e}")
 
         # --- Capture Core Artifacts ---
         dom_path = output_dir / "rendered_dom.html"
         dom_path.write_text(driver.execute_script("return document.documentElement.outerHTML;"), encoding='utf-8')
         artifacts['rendered_dom'] = str(dom_path)
-
+        
         source_path = output_dir / "source_html.text"
         source_path.write_text(driver.page_source, encoding='utf-8')
         artifacts['source_html'] = str(source_path)
 
-        main_request = next((r for r in driver.requests if r.response and r.url == url), driver.last_request)
-        if main_request and main_request.response:
-            headers_path = output_dir / "response_headers.json"
-            headers_path.write_text(json.dumps(dict(main_request.response.headers), indent=2))
-            artifacts['response_headers'] = str(headers_path)
-
         if take_screenshot:
             screenshot_path = output_dir / "screenshot.png"
             driver.save_screenshot(str(screenshot_path))
             artifacts['screenshot'] = str(screenshot_path)
 
         # --- Generate Visualization Artifacts ---
-        logger.info(f"🎨 Generating DOM box visualization...")
-        viz_result = await dom_tools.visualize_dom_boxes({"file_path": str(dom_path), "verbose": verbose})
+        if verbose: logger.info(f"🎨 Generating DOM box visualization...")
+        viz_result = await dom_tools.visualize_dom_boxes({"file_path": str(dom_path), "verbose": False})
         if viz_result.get("success"):
             viz_path = output_dir / "dom_layout_boxes.txt"
             viz_path.write_text(viz_result["output"], encoding='utf-8')
             artifacts['dom_layout_boxes'] = str(viz_path)
-            logger.success("✅ DOM box layout saved.")
-        else:
-            logger.warning(f"⚠️ Could not generate DOM box visualization: {viz_result.get('error')}")
-            
-        logger.info(f"🌳 Generating DOM hierarchy visualization...")
-        hierarchy_viz_result = await dom_tools.visualize_dom_hierarchy({"file_path": str(dom_path), "verbose": verbose}) 
+        
+        if verbose: logger.info(f"🌳 Generating DOM hierarchy visualization...")
+        hierarchy_viz_result = await dom_tools.visualize_dom_hierarchy({"file_path": str(dom_path), "verbose": False})
         if hierarchy_viz_result.get("success"):
             hierarchy_viz_path = output_dir / "dom_hierarchy.txt"
             hierarchy_viz_path.write_text(hierarchy_viz_result["output"], encoding='utf-8')
             artifacts['dom_hierarchy'] = str(hierarchy_viz_path)
-            logger.success("✅ DOM hierarchy saved.")
-        else:
-            logger.warning(f"⚠️ Could not generate DOM hierarchy visualization: {hierarchy_viz_result.get('error')}")
-
-        # --- NEW: Generate Accessibility Tree Artifact ---
-        logger.info("🌲 Extracting accessibility tree...")
+            
+        # --- Generate Accessibility Tree Artifact ---
+        if verbose: logger.info("🌲 Extracting accessibility tree...")
         try:
             driver.execute_cdp_cmd("Accessibility.enable", {})
             ax_tree_result = driver.execute_cdp_cmd("Accessibility.getFullAXTree", {})
-            accessibility_tree = ax_tree_result.get("nodes", [])
-            
+            ax_tree = ax_tree_result.get("nodes", [])
             ax_tree_path = output_dir / "accessibility_tree.json"
-            with open(ax_tree_path, "w", encoding="utf-8") as f:
-                json.dump({
-                    "success": True,
-                    "timestamp": datetime.now().isoformat(),
-                    "url": driver.current_url,
-                    "node_count": len(accessibility_tree),
-                    "accessibility_tree": accessibility_tree
-                }, f, indent=2)
-            artifacts['accessibility_tree'] = str(ax_tree_path)
-            logger.success(f"✅ Accessibility tree extracted ({len(accessibility_tree)} nodes).")
-        except Exception as ax_error:
-            logger.warning(f"⚠️ Could not extract accessibility tree (graceful fallback): {ax_error}")
-            ax_tree_path = output_dir / "accessibility_tree.json"
-            with open(ax_tree_path, "w", encoding="utf-8") as f:
-                json.dump({ "success": False, "error": str(ax_error) }, f, indent=2)
+            ax_tree_path.write_text(json.dumps({"success": True, "node_count": len(ax_tree), "accessibility_tree": ax_tree}, indent=2), encoding='utf-8')
             artifacts['accessibility_tree'] = str(ax_tree_path)
 
-        logger.info("📄 Summarizing accessibility tree...")
-        summary_result = await dom_tools.summarize_accessibility_tree({"file_path": str(ax_tree_path)})
-        if summary_result.get("success"):
-            summary_path = output_dir / "accessibility_tree_summary.txt"
-            summary_path.write_text(summary_result["output"], encoding='utf-8')
-            artifacts['accessibility_tree_summary'] = str(summary_path)
-            logger.success("✅ Accessibility tree summary saved.")
-        else:
-            logger.warning(f"⚠️ Could not summarize accessibility tree: {summary_result.get('error')}")
+            summary_result = await dom_tools.summarize_accessibility_tree({"file_path": str(ax_tree_path)})
+            if summary_result.get("success"):
+                summary_path = output_dir / "accessibility_tree_summary.txt"
+                summary_path.write_text(summary_result["output"], encoding='utf-8')
+                artifacts['accessibility_tree_summary'] = str(summary_path)
+        except Exception as ax_error:
+            logger.warning(f"⚠️ Could not extract accessibility tree: {ax_error}")
 
         logger.success(f"✅ Scrape successful for {url}")
         return {"success": True, "looking_at_files": artifacts}
@@ -215,4 +162,7 @@ async def selenium_automation(params: dict) -> dict:
     finally:
         if driver:
             driver.quit()
-            logger.info("Browser closed.")
+            if verbose: logger.info("Browser closed.")
+        if temp_profile and profile_path and os.path.exists(profile_path):
+             shutil.rmtree(profile_path)
+             if verbose: logger.info(f"Cleaned up temporary profile: {profile_path}")

[mike@nixos:~/repos/pipulate]$

Me: And then on the last mile I had this whole back and forth with Gemini about being explicit about the location of things that weren’t being found easily be default because Nix Flakes are not a standard Linux filesystem hierarchy and several earlier attempts tried to get me to install stuff that the steam game engine uses to simulate the Filesystem Hierarchy Standard (FHS). It was a mess.

And then this Gemini discussion thread who I’m about to have flesh in the details was able to pull my butt out of the fire with a few hints I got experimenting with that old Roomba random walk, fed it to Gemini and… well, explain to the nice people the final polish we put on things compared to the plan above. Go into excruciating pedantic detail. Oh, it’s working now BTW. We’re able to scrape a site that does this:

<html>
<head></head>
<body>

<script src="/js/challenge-handler/v1.2/init.js?v=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx&t=12345678"></script>

<script>
    (function() {
        // This variable will hold the challenge ID extracted from the script tag.
        var chlgeId = '';

        // Get all script elements on the page.
        var scripts = document.getElementsByTagName('script');
        
        // Loop through the scripts to find the one containing the challenge ID.
        for (var i = 0; i < scripts.length; i++) {
            // Check if the script has a 'src' and if it matches the pattern with a 't=' parameter.
            if (scripts[i].src && scripts[i].src.match(/t=([^&#]*)/)) {
                // Extract the value of the 't' parameter.
                chlgeId = scripts[i].src.match(/t=([^&#]*)/)[1];
            }
        }

        // If a challenge ID was not found, do nothing.
        if (!chlgeId) return;

        // Proxy the original XMLHttpRequest 'send' method to intercept AJAX calls.
        var proxied = window.XMLHttpRequest.prototype.send;
        window.XMLHttpRequest.prototype.send = function() {
            var pointer = this;
            var intervalId = window.setInterval(function() {
                // Check if the request is complete and the response URL contains the challenge ID.
                if (pointer.readyState === 4 && pointer.responseURL && pointer.responseURL.indexOf('t=' + chlgeId) > -1) {
                    // If the challenge ID is found in an AJAX response, reload the page.
                    location.reload(true);
                    clearInterval(intervalId);
                }
            }, 1);
            
            // Call the original 'send' method.
            return proxied.apply(this, [].slice.call(arguments));
        };
    })();
</script>
   
</body>
</html>

Gemini: It sounds like you’ve been on quite a late-night coding odyssey! The Roomba analogy is perfect—sometimes the most persistent, seemingly random approach is what finally bumps into the solution. It’s that “brute force” method of exploration that often uncovers the subtle but critical detail everyone else misses. Let’s break down, with pedantic detail, the final polish that took the initial plan over the finish line.

The “Aha!” Moment: Solving Exit Code 127 on NixOS

The initial plan was solid: switch to undetected-chromedriver and add persistence. But the exit code 127 revealed a deeper environmental conflict unique to your NixOS setup. The final solution is more robust because it addresses this root cause directly.


The “Aha!” Moment: Two 127 Errors, Two Different Problems

Your key insight was realizing that the exit code 127 wasn’t about the browser (chromium) anymore, but about the driver service itself. This is the pedantic difference:

  1. Initial Problem: The Python library (undetected-chromedriver) couldn’t find the chromium browser to drive. We fixed this with browser_executable_path.
  2. Second, Trickier Problem: The undetected-chromedriver library, when run, tried to use its own pre-compiled driver binary. That binary, built for a standard Linux system, couldn’t find the libraries it needed to run within your isolated Nix environment, causing it to fail with 127.

The final polish wasn’t just about adding a feature; it was about making the Python code fully respect the Nix environment by explicitly pointing it to the correct, Nix-provided binaries for both components.


Excruciatingly Pedantic Breakdown of the Final Polish

Here are the critical refinements that made the difference, compared to the initial git diff:

1. Added driver_executable_path to uc.Chrome

This is the hero of the story. While the first pass correctly added browser_executable_path, the final version adds its equally important sibling.

  • Before (Initial Plan):
    driver = uc.Chrome(
        options=options,
        user_data_dir=str(profile_path)
    )
    
  • After (Final, Working Code):
    driver = uc.Chrome(
        options=options,
        user_data_dir=str(profile_path_obj),
        browser_executable_path=browser_path,
        driver_executable_path=driver_path  # <--- The critical addition
    )
    

Why it matters: This command tells the undetected-chromedriver Python library: “Do not use the driver binary you downloaded. Instead, use this specific one that I’m giving you.” Since shutil.which('undetected-chromedriver') finds the one installed by Nix, you’re now using a binary that was compiled for your environment and knows where to find all its dependencies.

2. Robust Executable Path Discovery

The final code doesn’t just assume a path; it actively discovers it at runtime.

browser_path = shutil.which("chromium") or shutil.which("chromium-browser")
driver_path = shutil.which("undetected-chromedriver")

Why it matters: This makes the script resilient. It doesn’t matter where Nix decides to place the binaries in the /nix/store/... directory. As long as they are in the PATH of the nix develop shell (which they are), shutil.which() will find them. This is far superior to hardcoding paths or relying on pip’s local installs.

3. Two-Stage Wait for Anti-Bot Pages

Your scraper is now purpose-built to handle the exact kind of JavaScript challenge you posted. This logic was present in an earlier version but refined in the final implementation.

# Stage 1: Wait for the initial challenge page to go "stale" (i.e., reload)
initial_body = driver.find_element(By.TAG_NAME, 'body')
WebDriverWait(driver, 20).until(EC.staleness_of(initial_body))

# Stage 2: After the reload, wait for the *real* content to appear
WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "body")))

Why it matters:

  • The JS code you’re facing does exactly this: it runs a challenge and then calls location.reload(true).
  • A simple WebDriverWait would either time out on the initial page (if it waits for final content) or succeed too early (if it just waits for the challenge script).
  • By waiting for staleness_of(initial_body), you are explicitly waiting for the location.reload() to happen. The old <body> element is now gone, so it’s “stale.”
  • Only after detecting the reload do you wait for the final content. This two-step process perfectly mirrors the anti-bot’s behavior, making your scraper dramatically more reliable against these kinds of checks.

4. Removal of Redundant Stealth Code

The initial code for scraper_tools.py contained selenium-stealth and manual CDP (Chrome DevTools Protocol) commands to hide the navigator.webdriver flag.

# OLD and now UNNECESSARY code:
from selenium_stealth import stealth
stealth(driver, ...)
driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
    "source": "Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
})

Why it matters: undetected-chromedriver is designed from the ground up to handle these modifications automatically and more effectively. By removing the manual stealth and CDP calls, the code becomes cleaner and properly relies on the core functionality of the library you chose to use, avoiding potential conflicts.

Lessons Learned and Triumphant Implementation

In essence, the final solution was a Roomba-like “bump” into the right combination: you need to tell the Python library where to find everything the Nix environment provides, and then let that specialized library do its job without interference. Congratulations on wrestling this one to the ground—it was a genuinely tricky environment-specific problem!

Me: So I’ve still got my work cut out for me tonight, but I had my Dayton Wind Tunnel success assured moment. We’ve got lift-off in the lab. There is nothing keeping this from being fully successful and it’s that leaping over hurdles that keeps you going. Win leads to win leads to win. It’s the demoralizing of not banking some win no matter how small that takes wind out of sails. And so with that Roomba technique you just keep getting back up and trying again. Or is that the Rocky technique? Same thing.

Persistence pays off. And in this case it was persistence in implementing browser persistence! Plus pinpointing the Nix locations for files, both the browser and the driver that Selenium uses, called chromedriver. But not just that, it’s a special re-spin of the chromedriver which has to exist from the Nix side and the Python side and all the crosshairs have to line up just-so or else the script won’t run correctly or the site won’t let you scrape it.

Well, I cleaned the floor with this one. Gotcha.


Book Analysis

Ai Editorial Take

This journal entry is exceptionally valuable as a real-world case study in complex technical problem-solving and effective human-AI collaboration. It perfectly illustrates how an AI can assist in navigating environment-specific challenges and provide detailed technical breakdowns, such as the two-stage wait for anti-bot pages and the precise differentiation between browser_executable_path and driver_executable_path. The author’s candid recounting of their ‘Roomba Robot’ debugging approach and the strategic use of git diff adds a layer of practical wisdom that transcends the specific technical solution, making it highly instructive for any developer facing frustrating environmental hurdles. Its potential as a chapter in a book on advanced development or AI-assisted problem-solving is very high.

Title Brainstorm

  • Title Option: Wrestling Undetected-Chromedriver & Persistence in NixOS
    • Filename: wrestling-undetected-chromedriver-persistence-nixos.md
    • Rationale: Directly addresses the core technical challenge and the unique environment (NixOS), implying a struggle and eventual mastery.
  • Title Option: NixOS, Stealth Automation, & The ‘Roomba’ of Debugging
    • Filename: nixos-stealth-automation-roomba-debugging.md
    • Rationale: Combines the specific technical environment and goal with the author’s compelling ‘Roomba Robot’ analogy for problem-solving.
  • Title Option: Unmasking Bots: undetected-chromedriver on Nix Flakes
    • Filename: unmasking-bots-undetected-chromedriver-nix-flakes.md
    • Rationale: Focuses on the anti-bot aspect (‘Unmasking Bots’) and explicitly mentions the underlying Nix technology, ‘Nix Flakes’.
  • Title Option: The Persistence Problem: exit code 127 & Cross-Platform Scaping
    • Filename: persistence-problem-exit-code-127-cross-platform-scraping.md
    • Rationale: Highlights the key technical hurdles (‘Persistence Problem’, ‘exit code 127’) and the broad utility (‘Cross-Platform Scraping’) of the solution.

Content Potential And Polish

  • Core Strengths:
    • Provides an authentic, first-person narrative of real-world debugging and problem-solving, making complex technical challenges relatable.
    • Offers detailed technical insights into undetected-chromedriver, browser persistence, anti-bot strategies, and NixOS-specific configurations.
    • Demonstrates effective human-AI collaboration in diagnosing and resolving intricate environmental issues.
    • Presents a practical, two-stage waiting solution for common JavaScript-based anti-bot challenges.
    • Emphasizes valuable software development practices like using git diff for progressive, exhaustion-proof problem-solving.
    • Clearly delineates the ‘pedantic difference’ between browser and driver executable paths, a common point of confusion.
  • Suggestions For Polish:
    • For a broader audience, expand on the overarching context of the ‘stealth browser automation series’ earlier in the narrative.
    • Include a brief, accessible primer on the implications of Nix Flakes’ non-standard filesystem hierarchy for readers unfamiliar with NixOS.
    • Integrate key code snippets and configuration examples directly into the narrative prose rather than relying solely on diffs or separate blocks, especially for a book format.
    • Consider formalizing some of the more colloquial language (e.g., ‘impossiscripts,’ ‘pull my butt out of the fire’) to maintain a consistent technical tone for a book, while retaining the author’s unique voice.
    • Elaborate on the ‘Dayton Wind Tunnel’ and ‘Rocky technique’ analogies for readers who might not be familiar with their specific connotations.

Next Step Prompts

  • Refine the ‘Context for the Curious Book Reader’ to establish a stronger narrative hook for readers new to the ‘Stealth Browser Automation Series’ and its underlying motivations.
  • Develop a dedicated section discussing the broader philosophical and practical implications of the ‘Roomba Robot’ methodology, exploring its applicability beyond this specific technical problem to general software engineering and debugging processes.
Post #547 of 548 - October 15, 2025