diff --git a/tests/graphs/scrape_json_ollama.py b/tests/graphs/scrape_json_ollama.py
index a1ce8875..17ef80b1 100644
--- a/tests/graphs/scrape_json_ollama.py
+++ b/tests/graphs/scrape_json_ollama.py
@@ -1,56 +1,50 @@
-""" 
-Module for scraping json documents
+"""
+Module for scraping JSON documents
 """
 import os
+import json
 import pytest
+
 from scrapegraphai.graphs import JSONScraperGraph
 
+# Load configuration from a JSON file
+CONFIG_FILE = "config.json"
+with open(CONFIG_FILE, "r") as f:
+    CONFIG = json.load(f)
 
+# Fixture to read the sample JSON file
 @pytest.fixture
 def sample_json():
     """
-    Example of text
+    Read the sample JSON file
     """
-    file_name = "inputs/example.json"
-    curr_dir = os.path.dirname(os.path.realpath(__file__))
-    file_path = os.path.join(curr_dir, file_name)
-
-    with open(file_path, 'r', encoding="utf-8") as file:
+    file_path = os.path.join(os.path.dirname(__file__), "inputs", "example.json")
+    with open(file_path, "r", encoding="utf-8") as file:
         text = file.read()
-
     return text
 
-
-@pytest.fixture
-def graph_config():
+# Parametrized fixture to load graph configurations
+@pytest.fixture(params=CONFIG["graph_configs"])
+def graph_config(request):
     """
-    Configuration of the graph
+    Load graph configuration
     """
-    return {
-        "llm": {
-            "model": "ollama/mistral",
-            "temperature": 0,
-            "format": "json",
-            "base_url": "http://localhost:11434",
-        },
-        "embeddings": {
-            "model": "ollama/nomic-embed-text",
-            "temperature": 0,
-            "base_url": "http://localhost:11434",
-        }
-    }
-
+    return request.param
 
-def test_scraping_pipeline(sample_json: str, graph_config: dict):
+# Test function for the scraping pipeline
+def test_scraping_pipeline(sample_json, graph_config):
     """
-    Start of the scraping pipeline
+    Test the scraping pipeline
     """
+    expected_titles = ["Title 1", "Title 2", "Title 3"]  # Replace with expected titles
+
     smart_scraper_graph = JSONScraperGraph(
         prompt="List me all the titles",
         source=sample_json,
         config=graph_config
     )
-
     result = smart_scraper_graph.run()
 
     assert result is not None
+    assert isinstance(result, list)
+    assert sorted(result) == sorted(expected_titles)