diff --git a/README.md b/README.md
index 248fed9..18a53b1 100644
--- a/README.md
+++ b/README.md
@@ -71,6 +71,11 @@ uv add httpx python-dotenv fastmcp
    - Sign up at [Serper.dev](https://serper.dev/)
    - Get your API key from the dashboard
 
+3. **TalorData SERP API Key**:
+- Sign up at [TalorData](https://talordata.com/?campaignid=Sj1gAnzg46Ph8b6N&utm_source=CMS&utm_term=CMS)
+- Get your API key from the dashboard.
+
+
 ### Step 2: Environment Variables
 
 Create `.env` file in your project root with the following variables:
@@ -78,6 +83,7 @@ Create `.env` file in your project root with the following variables:
 ```env
 RAPIDAPI_KEY=your_rapidapi_key_here
 SERPER_API_KEY=your_serper_api_key_here
+TALORDATA_API_KEY=your_talordata_api_key_here
 ```
 
 ## Usage
diff --git a/main.py b/main.py
index 53c44b5..ca62dd3 100644
--- a/main.py
+++ b/main.py
@@ -10,6 +10,7 @@
 # Load API keys from .env
 RAPIDAPI_KEY = os.getenv("RAPIDAPI_KEY")
 SERPER_API_KEY = os.getenv("SERPER_API_KEY")
+TALORDATA_API_KEY = os.getenv("TALORDATA_API_KEY")
 
 # API hosts
 LINKEDIN_HOST = "fresh-linkedin-profile-data.p.rapidapi.com"
@@ -24,8 +25,8 @@
 # Check required keys
 if not RAPIDAPI_KEY:
     raise ValueError("RAPIDAPI_KEY is not set in the environment variables")
-if not SERPER_API_KEY:
-    raise ValueError("SERPER_API_KEY is not set in the environment variables")
+if not SERPER_API_KEY and not TALORDATA_API_KEY:
+    raise ValueError("Either SERPER_API_KEY or TALORDATA_API_KEY must be set in the environment variables")
 
 # Initialize MCP
 mcp = FastMCP("social_web_scraper")
@@ -181,5 +182,48 @@ async def scrape_website(query: str, gl: str = "in", num: int = 10, page: int =
     return json.dumps(data, indent=2)
 
 # ---- RUN SERVER ----
+# ---- WEBSITE SCRAPER TOOL (TalorData SERP) ----
+async def fetch_talordata_search(query: str) -> dict[str, Any] | None:
+    """使用 TalorData SERP API 进行搜索"""
+    if not TALORDATA_API_KEY:
+        return None
+        
+    url = "https://talordata.com"
+    headers = {
+        "Authorization": f"Bearer {TALORDATA_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "q": query,
+        "engine": "google"
+    }
+
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.post(url, headers=headers, json=payload, timeout=30.0)
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            print(f"Error fetching TalorData search data: {e}")
+            return None
+
+@mcp.tool()
+async def scrape_via_talordata(query: str) -> str:
+    """Fetch search results for a given query using TalorData SERP API."""
+    data = await fetch_talordata_search(query)
+    if not data:
+        return "Unable to fetch TalorData search data."
+        
+    # 提取 TalorData 的自然搜索结果列表并格式化返回给大模型
+    raw_results = data.get("organic_results", [])
+    results = []
+    for item in raw_results:
+        results.append({
+            "title": item.get("title", ""),
+            "link": item.get("link", item.get("url", "")),
+            "snippet": item.get("snippet", item.get("description", ""))
+        })
+    return json.dumps({"organic": results}, indent=2)
+
 if __name__ == "__main__":
     mcp.run(transport="stdio")