diff --git a/metagpt/strategy/experience_retriever.py b/metagpt/strategy/experience_retriever.py
index 63ca4fcbd..04807ebec 100644
--- a/metagpt/strategy/experience_retriever.py
+++ b/metagpt/strategy/experience_retriever.py
@@ -638,6 +638,8 @@ class KeywordExpRetriever(ExpRetriever):
                 return DEPLOY_EXAMPLE
             elif "issue" in context.lower():
                 return FIX_ISSUE_EXAMPLE
+            elif "https:" or "http:" in context.lower():
+                return WEB_SCRAPING_EXAMPLE
         elif exp_type == "task":
             if "diagnose" in context.lower():
                 return SEARCH_SYMBOL_EXAMPLE
@@ -1018,10 +1020,3 @@ Here is the command to finish the current task and parse the html content:
 
 ...
 """
-
-
-class WebExpRetriever(ExpRetriever):
-    """A simple experience retriever that returns manually crafted examples."""
-
-    def retrieve(self, context: str = "") -> str:
-        return WEB_SCRAPING_EXAMPLE
diff --git a/tests/metagpt/roles/di/run_data_analyst.py b/tests/metagpt/roles/di/run_data_analyst.py
index 9c1f72394..445f8f800 100644
--- a/tests/metagpt/roles/di/run_data_analyst.py
+++ b/tests/metagpt/roles/di/run_data_analyst.py
@@ -33,7 +33,7 @@ NEWS_36KR_REQ = """从36kr创投平台https://pitchhub.36kr.com/financing-flash
 """
 
 WIKIPEDIA_SEARCH_REQ = """
-Search for `LLM` on Wikipedia and print all the meaningful significances of the entry.
+Search for `LLM` on https://www.wikipedia.org/ and print all the meaningful significances of the entry.
 """
 
 STACKOVERFLOW_CLICK_REQ = """