diff --git a/anonymize_buyers.py b/anonymize_buyers.py
new file mode 100644
index 0000000..159c418
--- /dev/null
+++ b/anonymize_buyers.py
@@ -0,0 +1,101 @@
+#!/usr/bin/env python3
+"""
+anonymize_buyers.py - Anonymisiert PII-Felder in buyers_raw.jsonl.
+
+Ersetzt folgende Felder durch realistische Faker-Dummydaten:
+  name_company, prospective_buyer, company, phone, cell, email, address
+Leere Felder (null / "" / []) bleiben leer.
+
+Konsistenz: Gleicher Originalwert -> gleicher Dummy (ueber alle Zeilen).
+So bleiben Personen ueber mehrere Sheets hinweg zusammenfuehrbar, ohne
+echte Namen preiszugeben.
+
+Alle uebrigen Felder (types_of_business, dates, checkbox, background etc.)
+bleiben UNVERAENDERT - die sind fuer die Analyse relevant und nicht sensibel.
+
+Aufruf:
+  python3 anonymize_buyers.py ./poc_out/buyers_raw.jsonl ./poc_out/buyers_raw_anonym.jsonl
+"""
+
+import sys
+import json
+
+try:
+    from faker import Faker
+except ImportError:
+    print("Faker fehlt. Installieren mit:  pip3 install faker --break-system-packages")
+    sys.exit(1)
+
+fake = Faker("en_US")
+Faker.seed(1234)  # reproduzierbar
+
+# Zu anonymisierende Felder
+PII_FIELDS = ["name_company", "prospective_buyer", "company",
+              "phone", "cell", "email", "address"]
+
+
+def is_empty(v):
+    return v in (None, "", [], {})
+
+
+# Konsistenz-Caches: gleicher Originalwert -> gleicher Dummy
+_caches = {f: {} for f in PII_FIELDS}
+
+
+def fake_value(field):
+    """Erzeugt einen feldgerechten Dummy."""
+    if field in ("name_company", "prospective_buyer"):
+        return fake.name()
+    if field == "company":
+        return fake.company()
+    if field in ("phone", "cell"):
+        return fake.phone_number()
+    if field == "email":
+        return fake.email()
+    if field == "address":
+        # einzeilige Adresse
+        return fake.address().replace("\n", ", ")
+    return fake.word()
+
+
+def anonymize_field(field, value):
+    if is_empty(value):
+        return value  # leer bleibt leer
+    key = str(value).strip().lower()
+    cache = _caches[field]
+    if key not in cache:
+        cache[key] = fake_value(field)
+    return cache[key]
+
+
+def main():
+    if len(sys.argv) < 3:
+        print("Aufruf: python3 anonymize_buyers.py <input.jsonl> <output.jsonl>")
+        sys.exit(1)
+    inp, outp = sys.argv[1], sys.argv[2]
+
+    n_lines = 0
+    n_fields_anonymized = 0
+
+    with open(inp, encoding="utf-8") as fin, open(outp, "w", encoding="utf-8") as fout:
+        for line in fin:
+            line = line.strip()
+            if not line:
+                continue
+            rec = json.loads(line)
+            for field in PII_FIELDS:
+                if field in rec and not is_empty(rec[field]):
+                    rec[field] = anonymize_field(field, rec[field])
+                    n_fields_anonymized += 1
+            fout.write(json.dumps(rec, ensure_ascii=False) + "\n")
+            n_lines += 1
+
+    print(f"Verarbeitet:            {n_lines} Zeilen")
+    print(f"Anonymisierte Felder:   {n_fields_anonymized}")
+    print(f"Distinkte Ersetzungen:  " +
+          ", ".join(f"{f}={len(_caches[f])}" for f in PII_FIELDS))
+    print(f"Ausgabe:                {outp}")
+
+
+if __name__ == "__main__":
+    main()
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