fix: search graph

scrapegraphai/nodes/merge_answers_node.py

@@ -96,7 +96,17 @@ class MergeAnswersNode(BaseNode):
 
         merge_chain = prompt_template | self.llm_model | output_parser
         answer = merge_chain.invoke({"user_prompt": user_prompt})
-        answer["sources"] = state.get("urls", [])
+        
+        # Get the URLs from the state, ensuring we get the actual URLs used for scraping
+        urls = []
+        if "urls" in state:
+            urls = state["urls"]
+        elif "considered_urls" in state:
+            urls = state["considered_urls"]
+        
+        # Only add sources if we actually have URLs
+        if urls:
+            answer["sources"] = urls
 
         state.update({self.output[0]: answer})
         return state

scrapegraphai/nodes/search_internet_node.py

@@ -99,5 +99,8 @@ class SearchInternetNode(BaseNode):
         if len(answer) == 0:
             raise ValueError("Zero results found for the search query.")
 
+        # Store both the URLs and considered_urls in the state
         state.update({self.output[0]: answer})
+        state["considered_urls"] = answer  # Add this as a backup
+
         return state

scrapegraphai/utils/research_web.py

@@ -41,7 +41,7 @@ def search_on_web(query: str, search_engine: str = "Google",
         research = DuckDuckGoSearchResults(max_results=max_results)
         res = research.run(query)
         links = re.findall(r'https?://[^\s,\]]+', res)
-        return links
+        return links[:max_results]
 
     elif search_engine.lower() == "bing":
         headers = {
@@ -66,7 +66,7 @@ def search_on_web(query: str, search_engine: str = "Google",
         response = requests.get(url, params=params)
 
         data = response.json()
-        limited_results = data["results"][:max_results]
+        limited_results = [result['url'] for result in data["results"][:max_results]]
         return limited_results
 
     else: