diff --git a/a-data-collection/docextraction.ipynb b/a-data-collection/exercise2.ipynb
similarity index 97%
rename from a-data-collection/docextraction.ipynb
rename to a-data-collection/exercise2.ipynb
index 8d19a88292bb8f28cb765d2d0b412570b0b7c349..4e3d76fcaff710702969ca20b1758a2a281a5bb7 100644
--- a/a-data-collection/docextraction.ipynb
+++ b/a-data-collection/exercise2.ipynb
@@ -193,9 +193,10 @@
     "    def extract_summary(self, movie, soup) -> None:\n",
     "        \"\"\"\n",
     "        This function extract the summary from a movie/tv-show\n",
-    "        It use the find_all method of BeautifulSoup to find the \"overview\" class\n",
+    "        Loop over the divs of BeautifulSoup to find the \"overview\" class\n",
     "        \"\"\"\n",
-    "        divs = soup.find_all(\"div\")\n",
+    "        ## @COMPLETE : find all the divs\n",
+    "        # divs = ...\n",
     "        for div in divs:\n",
     "            div_class = div.get(\"class\")\n",
     "            if div_class is not None:\n",
@@ -211,8 +212,10 @@
     "        It use the select method of BeautifulSoup to extract actors displayed on the page.\n",
     "        Actor are defined in people scroller cards\n",
     "        \"\"\"\n",
-    "\n",
-    "        soup_results = soup.select(\"ol[class='people scroller'] li[class='card'] p a\")\n",
+    "        \n",
+    "        ## @COMPLETE : find the selector string\n",
+    "        # selector = \"\"\n",
+    "        soup_results = soup.select(selector)\n",
     "        actors = [soup_result.text for soup_result in soup_results]\n",
     "        print(actors)\n",
     "\n",