diff --git a/examples/quickstart_jupyter_notebook.ipynb b/examples/quickstart_jupyter_notebook.ipynb
new file mode 100644
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@@ -0,0 +1,133 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install stagehand"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import dotenv\n",
+    "dotenv.load_dotenv()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from stagehand import Stagehand, StagehandConfig\n",
+    "\n",
+    "stagehand = Stagehand(StagehandConfig(\n",
+    "    env=\"BROWSERBASE\",\n",
+    "    model_name=\"openai/gpt-4o-mini\",\n",
+    "    api_key=os.getenv(\"BROWSERBASE_API_KEY\"),\n",
+    "    project_id=os.getenv(\"BROWSERBASE_PROJECT_ID\"),\n",
+    "    api_url=\"https://api.stagehand.browserbase.com/v1\",\n",
+    "    # headless=False,\n",
+    "    verbose=0,\n",
+    "    # dom_settle_timeout_ms=3000,\n",
+    "), model_api_key=os.getenv(\"OPENAI_API_KEY\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "await stagehand.init()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "page = stagehand.page\n",
+    "await page.goto(\"https://www.hackernews.com\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import List\n",
+    "\n",
+    "from pydantic import BaseModel\n",
+    "\n",
+    "\n",
+    "class Post(BaseModel):\n",
+    "    title: str\n",
+    "    points: int\n",
+    "    comments: int\n",
+    "\n",
+    "class Posts(BaseModel):\n",
+    "    posts: List[Post]\n",
+    "\n",
+    "res = await page.extract(\"find all the posts related to the topic 'AI'\", schema=Posts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(res.posts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "await stagehand.close()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}