diff --git a/README.md b/README.md
index e8f0a44..8180f51 100644
--- a/README.md
+++ b/README.md
@@ -5,6 +5,7 @@
 ## 目录
 
 - `common_sites/`：大律师、找法网、法律快车、律图、华律 5 个采集脚本
+- `one_off_sites/`：一次性/临时站点采集脚本（不纳入常用站点批量启动）
 - `request/proxy_config.py`：代理配置加载逻辑
 - `request/proxy_settings.json`：代理配置文件
 - `Db.py`：数据库连接与基础操作
@@ -60,3 +61,15 @@ DLS_DIRECT=1 DLS_NO_DB=1 ./common_sites/start.sh
 # 如果不需要解析 params 扩展信息
 ./.venv/bin/python ./common_sites/export_lawyers_excel.py --no-parse-params
 ```
+
+## 一次性站点（众法利）
+
+脚本：`one_off_sites/zhongfali_single.py`
+
+```bash
+# 仅采集写 JSON（默认输出到 data/one_off_sites/）
+./.venv/bin/python ./one_off_sites/zhongfali_single.py --direct --no-db
+
+# 采集并写入 lawyer 表（domain=众法利单页）
+./.venv/bin/python ./one_off_sites/zhongfali_single.py --direct
+```
diff --git a/one_off_sites/zhongfali_single.py b/one_off_sites/zhongfali_single.py
new file mode 100644
index 0000000..a8cf142
--- /dev/null
+++ b/one_off_sites/zhongfali_single.py
@@ -0,0 +1,432 @@
+#!/usr/bin/env python3
+import argparse
+import hashlib
+import json
+import os
+import re
+import sys
+import time
+from typing import Dict, List, Optional, Set, Tuple
+
+import urllib3
+
+current_dir = os.path.dirname(os.path.abspath(__file__))
+project_root = os.path.dirname(current_dir)
+request_dir = os.path.join(project_root, "request")
+if request_dir not in sys.path:
+    sys.path.insert(0, request_dir)
+if project_root not in sys.path:
+    sys.path.append(project_root)
+
+from Db import Db
+from request.requests_client import RequestClientError, RequestsClient
+
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+SITE_NAME = "zhongfali_single"
+LEGACY_DOMAIN = "众法利单页"
+DEFAULT_URL = "http://m.zhongfali.com/h-pd-552.html#mid=3&groupId=196&desc=false"
+DEFAULT_OUTPUT = "/www/wwwroot/lawyers/data/one_off_sites/zhongfali_records_all.jsonl"
+
+PHONE_RE = re.compile(r"1[3-9]\d{9}")
+INITIAL_STATE_RE = re.compile(r"window\.__INITIAL_STATE__\s*=\s*(\{.*?\})</script>", re.S)
+
+
+def normalize_phone(text: str) -> str:
+    compact = re.sub(r"\D", "", text or "")
+    match = PHONE_RE.search(compact)
+    return match.group(0) if match else ""
+
+
+def split_specialties(text: str) -> List[str]:
+    source = (text or "").strip()
+    if not source:
+        return []
+    parts = [item.strip() for item in re.split(r"[、,，;；\s]+", source) if item.strip()]
+    seen: Set[str] = set()
+    result: List[str] = []
+    for item in parts:
+        if item in seen:
+            continue
+        seen.add(item)
+        result.append(item)
+    return result
+
+
+def strip_html(text: str) -> str:
+    cleaned = re.sub(r"<[^>]+>", " ", text or "")
+    cleaned = cleaned.replace("&nbsp;", " ")
+    cleaned = re.sub(r"\s+", " ", cleaned)
+    return cleaned.strip()
+
+
+def extract_specialties_from_remark(remark: str) -> List[str]:
+    plain = strip_html(remark)
+    if not plain:
+        return []
+
+    match = re.search(r"专业领域[:：]\s*([^。；]+)", plain)
+    if match:
+        return split_specialties(match.group(1))
+    return []
+
+
+def value_at(values: List[str], index: int) -> str:
+    if index < 0 or index >= len(values):
+        return ""
+    return str(values[index] or "").strip()
+
+
+def parse_initial_state(html: str) -> Dict:
+    match = INITIAL_STATE_RE.search(html)
+    if not match:
+        raise ValueError("未找到 window.__INITIAL_STATE__")
+    return json.loads(match.group(1))
+
+
+def extract_location_and_name(product_name: str) -> Tuple[str, str, str]:
+    text = re.sub(r"\s+", " ", product_name or "").strip()
+    province = ""
+    city = ""
+    lawyer_name = ""
+
+    province_match = re.search(r"([\u4e00-\u9fa5]{2,}省)", text)
+    city_match = re.search(r"(?:[\u4e00-\u9fa5]+省)?([\u4e00-\u9fa5]+市)", text)
+    name_match = re.search(r"([\u4e00-\u9fa5]{2,4})\s*律师", text)
+
+    if province_match:
+        province = province_match.group(1)
+    if city_match:
+        city = city_match.group(1)
+    if name_match:
+        lawyer_name = name_match.group(1)
+
+    return province, city, lawyer_name
+
+
+def pick_product_module(state: Dict) -> Optional[Dict]:
+    module_map = state.get("currentPageModuleIdMap", {}) or {}
+    page_ids = state.get("currentPageModuleIds", []) or []
+
+    for module_id in page_ids:
+        module = module_map.get(str(module_id)) or module_map.get(module_id)
+        if not isinstance(module, dict):
+            continue
+        ext_info = module.get("extInfo", {}) or {}
+        if ext_info.get("productInfo"):
+            return module
+
+    for module in module_map.values():
+        if not isinstance(module, dict):
+            continue
+        ext_info = module.get("extInfo", {}) or {}
+        if ext_info.get("productInfo"):
+            return module
+
+    return None
+
+
+def parse_group_id_from_url(url: str) -> int:
+    match = re.search(r"(?:[?&#]|^)groupId=(\d+)", url)
+    if not match:
+        return 0
+    try:
+        return int(match.group(1))
+    except ValueError:
+        return 0
+
+
+def extract_records(url: str, state: Dict) -> List[Dict]:
+    module = pick_product_module(state)
+    if not module:
+        return []
+
+    ext_info = module.get("extInfo", {}) or {}
+    product_info = ext_info.get("productInfo", {}) or {}
+    product_name = str(product_info.get("name") or "").strip()
+
+    province, city, current_name = extract_location_and_name(product_name)
+    group_id = product_info.get("groupId")
+    if not group_id:
+        group_id = parse_group_id_from_url(url)
+    module_id = module.get("id")
+
+    prop_map: Dict[str, List[str]] = {}
+    for prop in ext_info.get("propList", []) or []:
+        name = str(prop.get("name") or "").strip()
+        values = [str(item or "").strip() for item in (prop.get("valueList") or [])]
+        if name:
+            prop_map[name] = values
+
+    result: List[Dict] = []
+    seen_phones: Set[str] = set()
+    now = int(time.time())
+
+    phone_values = prop_map.get("电话", [])
+    for idx, raw_phone in enumerate(phone_values):
+        phone = normalize_phone(raw_phone)
+        if not phone or phone in seen_phones:
+            continue
+        seen_phones.add(phone)
+
+        law_firm = value_at(prop_map.get("律师所", []), idx)
+        area = value_at(prop_map.get("所在地区", []), idx)
+        direction = value_at(prop_map.get("主攻方向", []), idx)
+        specialty_text = value_at(prop_map.get("专业特长", []), idx)
+        license_no = value_at(prop_map.get("执业证号", []), idx)
+        address = value_at(prop_map.get("地址", []), idx)
+        email = value_at(prop_map.get("电子邮箱", []), idx)
+        seat_phone = value_at(prop_map.get("座机", []), idx)
+        wechat = value_at(prop_map.get("微信", []), idx)
+        qq = value_at(prop_map.get("QQ", []), idx)
+        first_practice_date = value_at(prop_map.get("首次执业日期", []), idx)
+
+        specialties = split_specialties(direction)
+        if not specialties:
+            specialties = split_specialties(specialty_text)
+
+        record = {
+            "record_id": hashlib.md5(f"{url}|{phone}".encode("utf-8")).hexdigest(),
+            "collected_at": now,
+            "source": {
+                "site": SITE_NAME,
+                "list_url": url,
+                "detail_url": url,
+                "province": province,
+                "province_py": "",
+                "city": area or city,
+                "city_py": "",
+                "page": 1,
+                "group_id": group_id,
+                "module_id": module_id,
+            },
+            "list_snapshot": {
+                "name": "",
+                "law_firm": law_firm,
+                "specialties": specialties,
+                "answer_count": None,
+            },
+            "profile": {
+                "name": "",
+                "law_firm": law_firm,
+                "phone": phone,
+                "license_no": license_no,
+                "practice_years": None,
+                "email": email,
+                "address": address,
+                "specialties": specialties,
+            },
+            "raw": {
+                "source_index": idx,
+                "direction": direction,
+                "specialty_text": specialty_text,
+                "seat_phone": seat_phone,
+                "wechat": wechat,
+                "qq": qq,
+                "first_practice_date": first_practice_date,
+            },
+        }
+        result.append(record)
+
+    current_phone = normalize_phone(str(product_info.get("material") or ""))
+    if current_phone and current_phone not in seen_phones:
+        seen_phones.add(current_phone)
+        remark = str(product_info.get("remark") or "")
+        specialties = extract_specialties_from_remark(remark)
+        result.append(
+            {
+                "record_id": hashlib.md5(f"{url}|{current_phone}".encode("utf-8")).hexdigest(),
+                "collected_at": now,
+                "source": {
+                    "site": SITE_NAME,
+                    "list_url": url,
+                    "detail_url": url,
+                    "province": province,
+                    "province_py": "",
+                    "city": city,
+                    "city_py": "",
+                    "page": 1,
+                    "group_id": group_id,
+                    "module_id": module_id,
+                },
+                "list_snapshot": {
+                    "name": current_name,
+                    "law_firm": str(product_info.get("prop0") or "").strip(),
+                    "specialties": specialties,
+                    "answer_count": None,
+                },
+                "profile": {
+                    "name": current_name,
+                    "law_firm": str(product_info.get("prop0") or "").strip(),
+                    "phone": current_phone,
+                    "license_no": str(product_info.get("prop1") or "").strip(),
+                    "practice_years": None,
+                    "email": "",
+                    "address": str(product_info.get("prop3") or "").strip(),
+                    "specialties": specialties,
+                },
+                "raw": {
+                    "from_product_info": True,
+                    "product_name": product_name,
+                    "remark": remark,
+                },
+            }
+        )
+
+    return result
+
+
+def to_legacy_row(record: Dict) -> Optional[Dict[str, str]]:
+    source = record.get("source", {}) or {}
+    profile = record.get("profile", {}) or {}
+    phone = normalize_phone(profile.get("phone", ""))
+    if not phone:
+        return None
+
+    province = str(source.get("province") or "").strip()
+    city = str(source.get("city") or province).strip()
+    return {
+        "name": str(profile.get("name") or "").strip(),
+        "law_firm": str(profile.get("law_firm") or "").strip(),
+        "province": province,
+        "city": city,
+        "phone": phone,
+        "url": str(source.get("detail_url") or "").strip(),
+        "domain": LEGACY_DOMAIN,
+        "create_time": int(record.get("collected_at") or time.time()),
+        "params": json.dumps(record, ensure_ascii=False),
+    }
+
+
+def existing_phones_in_db(db: Db, phones: List[str]) -> Set[str]:
+    deduped = sorted({phone for phone in phones if phone})
+    if not deduped:
+        return set()
+
+    existing: Set[str] = set()
+    cur = db.db.cursor()
+    try:
+        chunk_size = 500
+        for i in range(0, len(deduped), chunk_size):
+            chunk = deduped[i:i + chunk_size]
+            placeholders = ",".join(["%s"] * len(chunk))
+            sql = f"SELECT phone FROM lawyer WHERE domain=%s AND phone IN ({placeholders})"
+            cur.execute(sql, [LEGACY_DOMAIN, *chunk])
+            for row in cur.fetchall():
+                existing.add(row[0])
+    finally:
+        cur.close()
+    return existing
+
+
+def write_records_to_db(db: Db, records: List[Dict]) -> Tuple[int, int]:
+    rows: List[Dict[str, str]] = []
+    for record in records:
+        row = to_legacy_row(record)
+        if row:
+            rows.append(row)
+    if not rows:
+        return 0, 0
+
+    existing = existing_phones_in_db(db, [row["phone"] for row in rows])
+    inserted = 0
+    skipped = 0
+
+    for row in rows:
+        phone = row.get("phone", "")
+        if not phone or phone in existing:
+            skipped += 1
+            continue
+        try:
+            db.insert_data("lawyer", row)
+            existing.add(phone)
+            inserted += 1
+        except Exception as exc:
+            skipped += 1
+            print(f"[db] 插入失败 phone={phone}: {exc}")
+    return inserted, skipped
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(description="众法利单页律师电话采集")
+    parser.add_argument("--url", default=DEFAULT_URL, help="详情页 URL")
+    parser.add_argument("--output", default=DEFAULT_OUTPUT, help="输出 jsonl 文件路径")
+    parser.add_argument("--direct", action="store_true", help="直连模式，不使用代理")
+    parser.add_argument("--no-db", action="store_true", help="仅输出 JSON，不写入数据库")
+    return parser.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    os.makedirs(os.path.dirname(args.output) or ".", exist_ok=True)
+
+    client = RequestsClient(
+        headers={
+            "User-Agent": (
+                "Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) "
+                "AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 "
+                "Mobile/15E148 Safari/604.1"
+            ),
+            "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+            "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
+            "Connection": "close",
+        },
+        use_proxy=not args.direct,
+        retry_total=2,
+        retry_backoff_factor=1,
+        retry_status_forcelist=(429, 500, 502, 503, 504),
+        retry_allowed_methods=("GET",),
+    )
+
+    try:
+        resp = client.get_text(args.url, timeout=30, verify=False)
+        if resp.status_code >= 400:
+            raise RequestClientError(f"{resp.status_code} Error: {args.url}")
+        state = parse_initial_state(resp.text)
+        records = extract_records(args.url, state)
+    finally:
+        client.close()
+
+    if not records:
+        print("[done] 未采集到有效手机号")
+        return
+
+    seen_ids: Set[str] = set()
+    if os.path.exists(args.output):
+        with open(args.output, "r", encoding="utf-8") as old_file:
+            for line in old_file:
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    item = json.loads(line)
+                except Exception:
+                    continue
+                record_id = item.get("record_id")
+                if record_id:
+                    seen_ids.add(record_id)
+
+    json_new = 0
+    with open(args.output, "a", encoding="utf-8") as out:
+        for record in records:
+            record_id = record["record_id"]
+            if record_id in seen_ids:
+                continue
+            out.write(json.dumps(record, ensure_ascii=False) + "\n")
+            seen_ids.add(record_id)
+            json_new += 1
+
+    db_new = 0
+    db_skip = 0
+    if not args.no_db:
+        with Db() as db:
+            db_new, db_skip = write_records_to_db(db, records)
+
+    print(
+        f"[done] 采集{len(records)}条, JSON新增{json_new}条, "
+        f"DB新增{db_new}条, DB跳过{db_skip}条, 输出: {args.output}"
+    )
+
+
+if __name__ == "__main__":
+    main()