Add Playwright-based scraping and login scripts for STATdx

- Implemented `statdx_play_chrome.py` to launch Chrome via Playwright, allowing for headful browsing and capturing XHR requests.
- Created `statdx_playwright.py` for headless scraping of the STATdx application, including automatic login and HTML saving.
- Developed `statdx_requests.py` for form-based login and scraping, providing a fallback for sites using traditional authentication.
- Added example HTML output from Playwright scraping to `topics_playwright.html`.
- Captured XHR request data in JSON format for analysis in `xhr_captured/app.statdx.com_csrf_token_8000d0ed_20251014T124122Z.json`.

scrapers/parse_captured_json.py

@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+"""Scan captured JSON files and extract likely title/name fields.
+
+Usage:
+  python scrapers/parse_captured_json.py --dir captured --out parsed_topics.json
+
+This prints a brief summary to stdout and writes a JSON file with discovered records.
+"""
+
+import os
+import json
+import argparse
+import logging
+from glob import glob
+
+logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
+
+LIKELY_KEYS = ['title', 'name', 'label', 'displayName', 'heading']
+
+
+def extract_from_obj(obj):
+    found = []
+    if isinstance(obj, dict):
+        for k, v in obj.items():
+            if k in LIKELY_KEYS and isinstance(v, (str, int, float)):
+                found.append({'key': k, 'value': str(v)})
+            else:
+                found.extend(extract_from_obj(v))
+    elif isinstance(obj, list):
+        for item in obj:
+            found.extend(extract_from_obj(item))
+    return found
+
+
+def process_file(path):
+    try:
+        with open(path, 'r', encoding='utf-8') as fh:
+            data = json.load(fh)
+    except Exception:
+        # skip files that aren't valid JSON
+        return []
+    return extract_from_obj(data)
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--dir', '-d', default='captured')
+    parser.add_argument('--out', '-o', default='parsed_topics.json')
+    args = parser.parse_args()
+
+    results = {}
+    files = glob(os.path.join(args.dir, '**', '*.json'), recursive=True)
+    logging.info('Scanning %d JSON files under %s', len(files), args.dir)
+    for f in files:
+        items = process_file(f)
+        if items:
+            results[f] = items
+
+    with open(args.out, 'w', encoding='utf-8') as fh:
+        json.dump(results, fh, indent=2)
+    logging.info('Wrote parsed results to %s. %d files had matches.', args.out, len(results))
+
+    # Print a short summary
+    for path, items in results.items():
+        print('\nFile:', path)
+        for it in items[:10]:
+            print(' -', it['key'], ':', it['value'][:120])
+
+
+if __name__ == '__main__':
+    main()