feat: Implement mobile application and lead processing utilities.

scripts/parse_duesseldorf_targets.py

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+import re
+import json
+
+input_file = 'cologne_duesseldorf_data/duesseldorf_raw.txt'
+output_json = 'cologne_duesseldorf_data/duesseldorf_targets.json'
+
+def parse_targets():
+    with open(input_file, 'r', encoding='utf-8') as f:
+        lines = f.readlines()
+    
+    targets = []
+    # Pattern: • {Innung}/OM: {Name}
+    # Example: • Augenoptiker-Innung Düssel-Rhein-Ruhr/OM: Jens Schulz
+    
+    pattern = re.compile(r'•\s*(.*?)/OM:\s*(.*)')
+    
+    for line in lines:
+        line = line.strip()
+        match = pattern.match(line)
+        if match:
+            innung = match.group(1).strip()
+            name = match.group(2).strip()
+            targets.append({
+                "query": f"{innung} Düsseldorf Kontakt Email",
+                "innung": innung,
+                "person": name
+            })
+            
+    print(f"Found {len(targets)} targets.")
+    
+    # Prioritize "Bau", "Elektro", "Sanitär", "Metall", "Dach"
+    priority_keywords = ["Bau", "Elektro", "Sanitär", "Metall", "Dach", "Tischler"]
+    sorted_targets = sorted(targets, key=lambda x: any(k in x['innung'] for k in priority_keywords), reverse=True)
+    
+    with open(output_json, 'w', encoding='utf-8') as f:
+        json.dump(sorted_targets, f, indent=2)
+        
+    for t in sorted_targets[:5]:
+        print(f"Target: {t['innung']} ({t['person']})")
+
+if __name__ == "__main__":
+    parse_targets()