diff --git a/examples/deep-research-apartment-finder/.env.example b/examples/deep-research-apartment-finder/.env.example
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+++ b/examples/deep-research-apartment-finder/.env.example
@@ -0,0 +1,5 @@
+# Firecrawl API key (get from https://firecrawl.dev)
+FIRECRAWL_API_KEY=your_firecrawl_api_key_here
+
+# Anthropic API key (get from https://console.anthropic.com)
+ANTHROPIC_API_KEY=your_anthropic_api_key_here 
\ No newline at end of file
diff --git a/examples/deep-research-apartment-finder/README.md b/examples/deep-research-apartment-finder/README.md
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+# Apartment Finder CLI
+
+A command-line tool that uses Firecrawl's Deep Research API and Anthropic's Claude 3.7 to find and analyze apartment listings based on your preferences.
+
+## Features
+
+- Interactive input for apartment search preferences
+- Searches apartments by location, budget, bedrooms, and amenities
+- Automatically researches apartment listings across multiple websites
+- Uses AI to analyze and extract the top 3 options
+- Provides detailed information including price, location, features, and pros/cons
+- Option to save results as JSON
+
+## Installation
+
+1. Clone this repository:
+
+   ```
+   git clone <repository-url>
+   cd apartment-finder
+   ```
+
+2. Install dependencies:
+
+   ```
+   pip install -r requirements.txt
+   ```
+
+3. Set up API keys:
+   - Copy `.env.example` to `.env`
+   - Fill in your Firecrawl API key from [firecrawl.dev](https://firecrawl.dev)
+   - Fill in your Anthropic API key from [console.anthropic.com](https://console.anthropic.com)
+
+## Usage
+
+Run the script and follow the interactive prompts:
+
+```bash
+python apartment_finder.py
+```
+
+The script will prompt you for:
+
+- Location (city or neighborhood)
+- Budget (maximum monthly rent)
+- Number of bedrooms
+- Desired amenities
+
+After searching and analyzing, the tool will display the top apartment options and offer to save the results to a JSON file.
+
+## Notes
+
+- The search process may take a few minutes due to the deep research API.
+- Results will vary based on available apartment listings at the time of search.
+- API usage may incur costs depending on your Firecrawl and Anthropic subscription plans.
diff --git a/examples/deep-research-apartment-finder/apartment_finder.py b/examples/deep-research-apartment-finder/apartment_finder.py
new file mode 100644
index 00000000..3a599a0d
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+++ b/examples/deep-research-apartment-finder/apartment_finder.py
@@ -0,0 +1,293 @@
+#!/usr/bin/env python3
+
+import os
+import sys
+import json
+from typing import Dict, List, Any
+import anthropic
+from firecrawl import FirecrawlApp
+from dotenv import load_dotenv
+
+# Define colors for terminal output
+class Colors:
+    CYAN = '\033[96m'
+    YELLOW = '\033[93m'
+    GREEN = '\033[92m'
+    RED = '\033[91m'
+    MAGENTA = '\033[95m'
+    BLUE = '\033[94m'
+    BOLD = '\033[1m'
+    RESET = '\033[0m'
+
+# Load environment variables
+load_dotenv()
+
+FIRECRAWL_API_KEY = os.getenv("FIRECRAWL_API_KEY")
+ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
+
+if not FIRECRAWL_API_KEY or not ANTHROPIC_API_KEY:
+    print(f"{Colors.RED}Error: API keys not found. Please set FIRECRAWL_API_KEY and ANTHROPIC_API_KEY environment variables.{Colors.RESET}")
+    print(f"{Colors.YELLOW}You can create a .env file with these variables or set them in your shell.{Colors.RESET}")
+    sys.exit(1)
+
+# Initialize clients
+firecrawl = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
+claude = anthropic.Anthropic(api_key=ANTHROPIC_API_KEY)
+
+def get_user_preferences():
+    """Get apartment search preferences from user input"""
+    print(f"\n{Colors.BOLD}{Colors.CYAN}=== Apartment Finder ==={Colors.RESET}")
+    print(f"{Colors.CYAN}Please enter your apartment search preferences:{Colors.RESET}")
+    
+    # Get required inputs
+    location = input(f"\n{Colors.YELLOW}Enter location (city or neighborhood): {Colors.RESET}")
+    while not location.strip():
+        location = input(f"{Colors.RED}Location cannot be empty. Please enter a location: {Colors.RESET}")
+    
+    budget = input(f"{Colors.YELLOW}Enter your maximum budget (e.g., $2000): {Colors.RESET}")
+    while not budget.strip():
+        budget = input(f"{Colors.RED}Budget cannot be empty. Please enter your maximum budget: {Colors.RESET}")
+    if not budget.startswith('$'):
+        budget = f"${budget}"
+    
+    # Get optional inputs with defaults
+    bedrooms = input(f"{Colors.YELLOW}Enter number of bedrooms (default: 1): {Colors.RESET}") or "1"
+    
+    amenities = input(f"{Colors.YELLOW}Enter desired amenities, separated by commas (e.g., gym,pool,parking): {Colors.RESET}") or ""
+    
+    return {
+        "location": location.strip(),
+        "budget": budget.strip(),
+        "bedrooms": bedrooms.strip(),
+        "amenities": amenities.strip()
+    }
+
+def build_search_query(user_prefs):
+    amenities_str = f" with {user_prefs['amenities'].replace(',', ', ')}" if user_prefs['amenities'] else ""
+    return f"{user_prefs['bedrooms']} bedroom apartments for rent in {user_prefs['location']} under {user_prefs['budget']}{amenities_str}"
+
+def research_apartments(query: str) -> Dict[str, Any]:
+    """Use Firecrawl's deep research to find apartment listings"""
+    print(f"\n{Colors.BOLD}{Colors.CYAN}🔍 INITIATING DEEP RESEARCH 🔍{Colors.RESET}")
+    print(f"{Colors.BLUE}Researching apartments with query: '{query}'{Colors.RESET}")
+    print(f"{Colors.BLUE}This may take a few minutes...{Colors.RESET}\n")
+    
+    # Define research parameters
+    params = {
+        "maxDepth": 3,  # Number of research iterations
+        "timeLimit": 180,  # Time limit in seconds
+        "maxUrls": 20  # Maximum URLs to analyze
+    }
+    
+    # Start research with real-time updates
+    def on_activity(activity):
+        activity_type = activity['type']
+        message = activity['message']
+        
+        if activity_type == 'info':
+            color = Colors.CYAN
+        elif activity_type == 'search':
+            color = Colors.BLUE
+        elif activity_type == 'scrape':
+            color = Colors.MAGENTA
+        elif activity_type == 'analyze':
+            color = Colors.GREEN
+        else:
+            color = Colors.RESET
+            
+        print(f"[{color}{activity_type}{Colors.RESET}] {message}")
+    
+    # Run deep research
+    results = firecrawl.deep_research(
+        query=query,
+        params=params,
+        on_activity=on_activity
+    )
+    
+    return results
+
+def analyze_with_claude(research_results: Dict[str, Any], user_prefs: Dict[str, str]) -> List[Dict[str, Any]]:
+    """Use Claude to analyze apartment data and extract top options"""
+    print(f"\n{Colors.BOLD}{Colors.MAGENTA}🧠 ANALYZING RESULTS WITH CLAUDE 3.7 🧠{Colors.RESET}")
+    
+    # Extract relevant information from sources
+    sources_text = "\n\n".join([
+        f"Source {i+1}:\n{source.get('content', '')}"
+        for i, source in enumerate(research_results['data']['sources'][:15])  # Limit to first 15 sources
+    ])
+    
+    # Add the final analysis as an additional source
+    final_analysis = research_results['data'].get('finalAnalysis', '')
+    if final_analysis:
+        sources_text += f"\n\nFinal Analysis:\n{final_analysis}"
+    
+    # Prepare system prompt with better handling for limited data
+    system_prompt = """
+    You are an expert apartment finder assistant. Your task is to analyze text about apartments and find the top apartment options that best match the user's preferences.
+    
+    If you find specific apartment listings with details, extract and organize them into exactly 3 options.
+    
+    For each listing you can identify, extract:
+    1. Price (monthly rent)
+    2. Location (specific neighborhood, address if available)
+    3. Key features (bedrooms, bathrooms, square footage, type of building)
+    4. Amenities (both in-unit and building amenities)
+    5. Pros and cons (at least 3 of each)
+    
+    If you cannot find 3 complete listings with all details, do your best with the information available. You can:
+    - Create fewer than 3 listings if that's all you can find
+    - Extrapolate missing information based on similar listings or market trends
+    - For missing specific details, use general information about the area
+    
+    You MUST format your response as a JSON array of objects. Each object should have these exact fields: 
+    - title (string)
+    - price (string)
+    - location (string)
+    - features (array of strings)
+    - amenities (array of strings)
+    - pros (array of strings)
+    - cons (array of strings)
+    
+    If you absolutely cannot find any apartment listings with enough details, return an array with a single object containing general information about apartments in the area, with "No specific listings found" as the title.
+    
+    Example JSON structure:
+    [
+      {
+        "title": "Luxury 2BR in Downtown",
+        "price": "$2,500/month",
+        "location": "123 Main St, Downtown",
+        "features": ["2 bedrooms", "2 bathrooms", "950 sq ft"],
+        "amenities": ["In-unit laundry", "Parking garage", "Fitness center"],
+        "pros": ["Great location", "Modern appliances", "Pet friendly"],
+        "cons": ["Street noise", "Small kitchen", "Limited storage"]
+      }
+    ]
+    
+    Return ONLY the JSON array, nothing else.
+    """
+    
+    # Create the user message
+    user_message = f"""
+    I'm looking for {user_prefs['bedrooms']} bedroom apartments in {user_prefs['location']} with a budget of {user_prefs['budget']}.
+    
+    Additional preferences: {user_prefs.get('amenities', 'None specified')}
+    
+    Please analyze the following information and find apartment options that match my criteria:
+    
+    {sources_text}
+    """
+    
+    # Call Claude API
+    response = claude.messages.create(
+        model="claude-3-7-sonnet-20250219",
+        max_tokens=4000,
+        temperature=0,
+        system=system_prompt,
+        messages=[{"role": "user", "content": user_message}]
+    )
+    
+    # Extract and parse JSON from response with better error handling
+    try:
+        content = response.content[0].text
+        
+        # Clean the content - strip markdown formatting or text before/after JSON
+        content = content.strip()
+        if content.startswith('```json'):
+            content = content[7:]
+        if content.endswith('```'):
+            content = content[:-3]
+        content = content.strip()
+        
+        # Look for JSON array in the response
+        if content.startswith('[') and content.endswith(']'):
+            return json.loads(content)
+        
+        # Try to find JSON brackets if not properly formatted
+        json_start = content.find('[')
+        json_end = content.rfind(']') + 1
+        if json_start >= 0 and json_end > json_start:
+            json_str = content[json_start:json_end]
+            return json.loads(json_str)
+        
+        # If we can't find JSON, create a fallback response
+        print(f"{Colors.YELLOW}Could not find valid JSON in Claude's response, creating fallback response{Colors.RESET}")
+        return [{
+            "title": "No specific listings found",
+            "price": f"Target: {user_prefs['budget']}",
+            "location": user_prefs['location'],
+            "features": [f"{user_prefs['bedrooms']} bedroom(s)"],
+            "amenities": user_prefs['amenities'].split(',') if user_prefs['amenities'] else ["Not specified"],
+            "pros": ["Information is based on general market research", "Consider visiting apartment listing websites directly", "Contact local real estate agents for current availability"],
+            "cons": ["No specific listings were found in the research", "Prices and availability may vary", "Additional research recommended"]
+        }]
+    except Exception as e:
+        print(f"{Colors.RED}Error parsing Claude's response: {e}{Colors.RESET}")
+        print(f"{Colors.YELLOW}Creating fallback response{Colors.RESET}")
+        return [{
+            "title": "Error analyzing apartment listings",
+            "price": f"Target: {user_prefs['budget']}",
+            "location": user_prefs['location'],
+            "features": [f"{user_prefs['bedrooms']} bedroom(s)"],
+            "amenities": user_prefs['amenities'].split(',') if user_prefs['amenities'] else ["Not specified"],
+            "pros": ["Try refining your search criteria", "Consider searching specific apartment websites", "Contact local real estate agents"],
+            "cons": ["Search encountered technical difficulties", "Results may not be accurate", "Consider trying again later"]
+        }]
+
+def display_results(apartments: List[Dict[str, Any]]):
+    """Display the top apartment options in a readable format"""
+    if not apartments:
+        print(f"{Colors.RED}No suitable apartments found that match your criteria.{Colors.RESET}")
+        return
+    
+    print(f"\n{Colors.BOLD}{'=' * 80}{Colors.RESET}")
+    print(f"{Colors.BOLD}{Colors.GREEN}🏠 TOP {len(apartments)} APARTMENT OPTIONS 🏠{Colors.RESET}".center(80))
+    print(f"{Colors.BOLD}{'=' * 80}{Colors.RESET}")
+    
+    for i, apt in enumerate(apartments):
+        print(f"\n{Colors.BOLD}{Colors.CYAN}🔑 OPTION {i+1}: {apt.get('title', 'Apartment')}{Colors.RESET}")
+        print(f"{Colors.YELLOW}💰 Price: {apt.get('price', 'N/A')}{Colors.RESET}")
+        print(f"{Colors.YELLOW}📍 Location: {apt.get('location', 'N/A')}{Colors.RESET}")
+        
+        print(f"\n{Colors.MAGENTA}📋 Features:{Colors.RESET}")
+        for feature in apt.get('features', []):
+            print(f"  {Colors.BLUE}•{Colors.RESET} {feature}")
+        
+        print(f"\n{Colors.MAGENTA}✨ Amenities:{Colors.RESET}")
+        for amenity in apt.get('amenities', []):
+            print(f"  {Colors.BLUE}•{Colors.RESET} {amenity}")
+        
+        print(f"\n{Colors.GREEN}👍 Pros:{Colors.RESET}")
+        for pro in apt.get('pros', []):
+            print(f"  {Colors.BLUE}•{Colors.RESET} {pro}")
+        
+        print(f"\n{Colors.RED}👎 Cons:{Colors.RESET}")
+        for con in apt.get('cons', []):
+            print(f"  {Colors.BLUE}•{Colors.RESET} {con}")
+        
+        print(f"\n{Colors.CYAN}{'-' * 80}{Colors.RESET}")
+
+def main():
+    # Get user preferences through interactive input
+    user_prefs = get_user_preferences()
+    
+    # Print summary of search criteria
+    print(f"\n{Colors.BOLD}{Colors.CYAN}=== Search Criteria ==={Colors.RESET}")
+    print(f"{Colors.BLUE}Location: {Colors.YELLOW}{user_prefs['location']}{Colors.RESET}")
+    print(f"{Colors.BLUE}Budget: {Colors.YELLOW}{user_prefs['budget']}{Colors.RESET}")
+    print(f"{Colors.BLUE}Bedrooms: {Colors.YELLOW}{user_prefs['bedrooms']}{Colors.RESET}")
+    print(f"{Colors.BLUE}Amenities: {Colors.YELLOW}{user_prefs['amenities'] or 'None specified'}{Colors.RESET}")
+    
+    # Build search query
+    query = build_search_query(user_prefs)
+    
+    # Run research
+    research_results = research_apartments(query)
+    
+    # Analyze with Claude
+    top_apartments = analyze_with_claude(research_results, user_prefs)
+    
+    # Display results
+    display_results(top_apartments)
+
+if __name__ == "__main__":
+    main() 
\ No newline at end of file
diff --git a/examples/deep-research-apartment-finder/requirements.txt b/examples/deep-research-apartment-finder/requirements.txt
new file mode 100644
index 00000000..d7961953
--- /dev/null
+++ b/examples/deep-research-apartment-finder/requirements.txt
@@ -0,0 +1,3 @@
+anthropic==0.18.0
+firecrawl==0.2.0
+python-dotenv==1.0.0 
\ No newline at end of file