diff --git a/examples/openai/pdf_scraper_graph_openai.py b/examples/openai/pdf_scraper_graph_openai.py
new file mode 100644
index 00000000..20260101
--- /dev/null
+++ b/examples/openai/pdf_scraper_graph_openai.py
@@ -0,0 +1,59 @@
+import os, json
+from dotenv import load_dotenv
+from scrapegraphai.graphs import PDFScraperGraph
+
+load_dotenv()
+
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+openai_key = os.getenv("OPENAI_APIKEY")
+
+graph_config = {
+    "llm": {
+        "api_key": openai_key,
+        "model": "gpt-3.5-turbo",
+    },
+    "verbose": True,
+    "headless": False,
+}
+
+source = """
+    The Divine Comedy, Italian La Divina Commedia, original name La commedia, long narrative poem written in Italian 
+    circa 1308/21 by Dante. It is usually held to be one of the world s great works of literature. 
+    Divided into three major sections—Inferno, Purgatorio, and Paradiso—the narrative traces the journey of Dante 
+    from darkness and error to the revelation of the divine light, culminating in the Beatific Vision of God. 
+    Dante is guided by the Roman poet Virgil, who represents the epitome of human knowledge, from the dark wood 
+    through the descending circles of the pit of Hell (Inferno). He then climbs the mountain of Purgatory, guided 
+    by the Roman poet Statius, who represents the fulfilment of human knowledge, and is finally led by his lifelong love, 
+    the Beatrice of his earlier poetry, through the celestial spheres of Paradise.
+"""
+
+schema = """
+    {
+        "type": "object",
+        "properties": {
+            "summary": {
+                "type": "string"
+            },
+            "topics": {
+                "type": "array",
+                "items": {
+                    "type": "string"
+                }
+            }
+        }
+    }
+"""
+
+pdf_scraper_graph = PDFScraperGraph(
+    prompt="Summarize the text and find the main topics",
+    source=source,
+    config=graph_config,
+    schema=schema,
+)
+result = pdf_scraper_graph.run()
+
+print(json.dumps(result, indent=4))