diff --git a/modules/connectors/connector_tavily.py b/modules/connectors/connector_tavily.py
index bcb38e3f..783fea8c 100644
--- a/modules/connectors/connector_tavily.py
+++ b/modules/connectors/connector_tavily.py
@@ -4,11 +4,16 @@ import logging
 import os
 from dataclasses import dataclass
 from modules.interfaces.interface_web_model import (
+    WebCrawlBase,
+    WebCrawlDocumentData,
+    WebCrawlRequest,
     WebSearchBase,
     WebSearchRequest,
     WebSearchActionResult,
     WebSearchActionDocument,
     WebSearchDocumentData,
+    WebCrawlActionDocument,
+    WebCrawlActionResult,
 )
 
 # from modules.interfaces.interfaceChatModel import ActionResult, ActionDocument
@@ -20,7 +25,7 @@ logger = logging.getLogger(__name__)
 
 
 @dataclass
-class ConnectorTavily(WebSearchBase):
+class ConnectorTavily(WebSearchBase, WebCrawlBase):
     client: AsyncTavilyClient = None
 
     @classmethod
@@ -28,7 +33,10 @@ class ConnectorTavily(WebSearchBase):
         return cls(client=AsyncTavilyClient(api_key=os.getenv("TAVILY_API_KEY")))
 
     async def search_urls(self, request: WebSearchRequest) -> WebSearchActionResult:
-        """Handles the web search request."""
+        """Handles the web search request.
+
+        Takes a query and returns a list of URLs.
+        """
         # Step 1: Search
         try:
             search_results = await self._search(request.query, request.max_results)
@@ -37,12 +45,28 @@ class ConnectorTavily(WebSearchBase):
 
         # Step 2: Build ActionResult
         try:
-            result = self._build_action_result(search_results)
+            result = self._build_search_action_result(search_results)
         except Exception as e:
             return WebSearchActionResult(success=False, error=str(e))
 
         return result
 
+    async def crawl_urls(self, request: WebCrawlRequest) -> WebCrawlActionResult:
+        """Crawls the given URLs and returns the extracted text content."""
+        # Step 1: Crawl
+        try:
+            crawl_results = await self._crawl(request.urls)
+        except Exception as e:
+            return WebCrawlActionResult(success=False, error=str(e))
+
+        # Step 2: Build ActionResult
+        try:
+            result = self._build_crawl_action_result(crawl_results)
+        except Exception as e:
+            return WebCrawlActionResult(success=False, error=str(e))
+
+        return result
+
     async def _search(self, query: str, max_results: int) -> WebSearchActionResult:
         """Calls the Tavily API to perform a web search."""
         # Make sure max_results is within the allowed range
@@ -56,7 +80,9 @@ class ConnectorTavily(WebSearchBase):
 
         return response["results"]
 
-    def _build_action_result(self, search_results: list) -> WebSearchActionResult:
+    def _build_search_action_result(
+        self, search_results: list
+    ) -> WebSearchActionResult:
         """Builds the ActionResult from the search results."""
         documents = []
         for result in search_results:
@@ -75,3 +101,30 @@ class ConnectorTavily(WebSearchBase):
         return WebSearchActionResult(
             success=True, documents=documents, resultLabel="web_search_results"
         )
+
+    async def _crawl(self, urls: list) -> list[str]:
+        """Calls the Tavily API to extract text content from URLs."""
+        response = await self.client.extract(
+            urls=urls, extract_depth="advanced", format="text"
+        )
+        return response["results"]
+
+    def _build_crawl_action_result(self, crawl_results: list) -> WebCrawlActionResult:
+        """Builds the ActionResult from the crawl results."""
+        documents = []
+        for result in crawl_results:
+            document_name = f"web_crawl_{get_utc_timestamp()}.txt"
+            doc_data = WebCrawlDocumentData(
+                url=result["url"], content=result["raw_content"]
+            )
+            mime_type = "application/json"
+            doc = WebCrawlActionDocument(
+                documentName=document_name,
+                documentData=doc_data,
+                mimeType=mime_type,
+            )
+            documents.append(doc)
+
+        return WebCrawlActionResult(
+            success=True, documents=documents, resultLabel="web_crawl_results"
+        )
diff --git a/modules/interfaces/interface_web_model.py b/modules/interfaces/interface_web_model.py
index 8dc01fc8..0a258623 100644
--- a/modules/interfaces/interface_web_model.py
+++ b/modules/interfaces/interface_web_model.py
@@ -40,10 +40,31 @@ class WebSearchBase(ABC):
 
 # list of URLs -> list of extracted HTML content
 
-# TODO
+
+class WebCrawlRequest(BaseModel):
+    urls: List[str]
+
+
+class WebCrawlDocumentData(BaseModel):
+    url: str
+    content: str
+
+
+class WebCrawlActionDocument(ActionDocument):
+    documentData: WebCrawlDocumentData = Field(
+        description="The data extracted from a single crawled URL"
+    )
+
+
+class WebCrawlActionResult(ActionResult):
+    documents: List[WebCrawlActionDocument] = Field(default_factory=list)
+
+
+class WebCrawlBase(ABC):
+    @abstractmethod
+    async def crawl_urls(self, request: WebCrawlRequest) -> WebCrawlActionResult: ...
+
 
 # --- Web query ---
 
-# query -> list of extracted text
-
-# TODO
+# query -> list of extracted text; combines web search and crawl in one step