diff --git a/scrapegraphai/graphs/csv_scraper_graph.py b/scrapegraphai/graphs/csv_scraper_graph.py
index 9ae3e605..9a5eb931 100644
--- a/scrapegraphai/graphs/csv_scraper_graph.py
+++ b/scrapegraphai/graphs/csv_scraper_graph.py
@@ -6,7 +6,7 @@ from ..nodes import (
     FetchNode,
     ParseNode,
     RAGNode,
-    GenerateAnswerNodeCsv
+    GenerateAnswerCSVNode
 )
 from .abstract_graph import AbstractGraph
 
@@ -54,7 +54,7 @@ class CSVScraperGraph(AbstractGraph):
                 "verbose": self.verbose
             }
         )
-        generate_answer_node = GenerateAnswerNodeCsv(
+        generate_answer_node = GenerateAnswerCSVNode(
             input="user_prompt & (relevant_chunks | parsed_doc | doc)",
             output=["answer"],
             node_config={
diff --git a/scrapegraphai/nodes/__init__.py b/scrapegraphai/nodes/__init__.py
index 85218bc7..150df0df 100644
--- a/scrapegraphai/nodes/__init__.py
+++ b/scrapegraphai/nodes/__init__.py
@@ -14,4 +14,4 @@ from .search_internet_node import SearchInternetNode
 from .generate_scraper_node import GenerateScraperNode
 from .search_link_node import SearchLinkNode
 from .robots_node import RobotsNode
-from .generate_answer_node_csv import GenerateAnswerNodeCsv
+from .generate_answer_node_csv import GenerateAnswerCSVNode
diff --git a/scrapegraphai/nodes/generate_answer_node_csv.py b/scrapegraphai/nodes/generate_answer_node_csv.py
index 5a3e74f0..ac861816 100644
--- a/scrapegraphai/nodes/generate_answer_node_csv.py
+++ b/scrapegraphai/nodes/generate_answer_node_csv.py
@@ -14,7 +14,7 @@ from langchain_core.runnables import RunnableParallel
 from .base_node import BaseNode
 
 
-class GenerateAnswerNodeCsv(BaseNode):
+class GenerateAnswerCSVNode(BaseNode):
     """
     A node that generates an answer using a language model (LLM) based on the user's input
     and the content extracted from a webpage. It constructs a prompt from the user's input