diff --git a/scrapegraph-js/examples/crawl/crawl_with_path_filtering_example.js b/scrapegraph-js/examples/crawl/crawl_with_path_filtering_example.js
new file mode 100644
index 0000000..dc6f75d
--- /dev/null
+++ b/scrapegraph-js/examples/crawl/crawl_with_path_filtering_example.js
@@ -0,0 +1,205 @@
+/**
+ * Example of using the crawl endpoint with path filtering.
+ *
+ * This example demonstrates how to use includePaths and excludePaths
+ * to control which pages are crawled on a website.
+ */
+
+import { crawl, getCrawlRequest } from 'scrapegraph-js';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const SGAI_API_KEY = process.env.SGAI_APIKEY || process.env.SGAI_API_KEY;
+
+// Define your output schema
+const productSchema = {
+  type: 'object',
+  properties: {
+    products: {
+      type: 'array',
+      items: {
+        type: 'object',
+        properties: {
+          name: { type: 'string', description: 'Product name' },
+          price: { type: 'string', description: 'Product price' },
+          description: { type: 'string', description: 'Product description' },
+          category: { type: 'string', description: 'Product category' }
+        },
+        required: ['name', 'price']
+      }
+    },
+    total_products: {
+      type: 'number',
+      description: 'Total number of products found'
+    }
+  },
+  required: ['products', 'total_products']
+};
+
+// Helper function to wait for crawl completion
+async function waitForCrawl(taskId, maxAttempts = 60, delay = 5000) {
+  for (let attempt = 0; attempt < maxAttempts; attempt++) {
+    await new Promise(resolve => setTimeout(resolve, delay));
+
+    const status = await getCrawlRequest(SGAI_API_KEY, taskId);
+    const state = status.state || 'UNKNOWN';
+
+    console.log(`Attempt ${attempt + 1}: Status = ${state}`);
+
+    if (state === 'SUCCESS') {
+      console.log('\n✨ Crawl completed successfully!');
+      return status.result;
+    } else if (state === 'FAILURE' || state === 'REVOKED') {
+      console.log(`\n❌ Crawl failed with status: ${state}`);
+      throw new Error(`Crawl failed: ${state}`);
+    }
+  }
+
+  throw new Error('Timeout: Crawl took too long');
+}
+
+async function example1() {
+  console.log('\n📝 Example 1: Crawl only /products/* pages');
+  console.log('-'.repeat(50));
+
+  const result = await crawl(
+    SGAI_API_KEY,
+    'https://example.com',
+    'Extract product information including name, price, and description',
+    productSchema,
+    {
+      depth: 2,
+      maxPages: 10,
+      includePaths: ['/products/*', '/items/*'],  // Only crawl product pages
+      excludePaths: ['/products/archived/*']      // But skip archived products
+    }
+  );
+
+  console.log(`Task ID: ${result.task_id}`);
+  console.log('\n✅ Crawl job started successfully!');
+
+  return result.task_id;
+}
+
+async function example2() {
+  console.log('\n📝 Example 2: Crawl all pages except admin and API');
+  console.log('-'.repeat(50));
+
+  const result = await crawl(
+    SGAI_API_KEY,
+    'https://example.com',
+    'Extract all relevant information from the website',
+    productSchema,
+    {
+      depth: 2,
+      maxPages: 20,
+      excludePaths: [
+        '/admin/*',      // Skip all admin pages
+        '/api/*',        // Skip all API endpoints
+        '/private/*',    // Skip private pages
+        '/*.json'        // Skip JSON files
+      ]
+    }
+  );
+
+  console.log(`Task ID: ${result.task_id}`);
+  console.log('\n✅ Crawl job started successfully!');
+
+  return result.task_id;
+}
+
+async function example3() {
+  console.log('\n📝 Example 3: Complex path filtering with wildcards');
+  console.log('-'.repeat(50));
+
+  const blogSchema = {
+    type: 'object',
+    properties: {
+      posts: {
+        type: 'array',
+        items: {
+          type: 'object',
+          properties: {
+            title: { type: 'string' },
+            author: { type: 'string' },
+            date: { type: 'string' },
+            content: { type: 'string' }
+          }
+        }
+      }
+    }
+  };
+
+  const result = await crawl(
+    SGAI_API_KEY,
+    'https://example.com',
+    'Extract blog posts with title, author, date, and content',
+    blogSchema,
+    {
+      depth: 3,
+      maxPages: 15,
+      sitemap: true,  // Use sitemap for better coverage
+      includePaths: [
+        '/blog/**',           // Include all blog pages (any depth)
+        '/articles/*',        // Include top-level articles
+        '/news/2024/*'        // Include 2024 news only
+      ],
+      excludePaths: [
+        '/blog/draft/*',      // Skip draft blog posts
+        '/blog/*/comments'    // Skip comment pages
+      ]
+    }
+  );
+
+  console.log(`Task ID: ${result.task_id}`);
+  console.log('\n✅ Crawl job started successfully!');
+
+  return result.task_id;
+}
+
+async function main() {
+  try {
+    console.log('🔍 Starting crawl with path filtering...');
+    console.log('='.repeat(50));
+
+    // Run example 1
+    const taskId1 = await example1();
+
+    // Run example 2
+    const taskId2 = await example2();
+
+    // Run example 3 and wait for completion
+    const taskId3 = await example3();
+
+    // Optionally wait for one of the crawls to complete
+    console.log(`\n⏳ Waiting for example 3 to complete (task: ${taskId3})...`);
+    const result = await waitForCrawl(taskId3);
+
+    console.log('\n📊 Crawl Results:');
+    console.log(JSON.stringify(result, null, 2));
+
+    // Print guide
+    console.log('\n' + '='.repeat(50));
+    console.log('📚 Path Filtering Guide:');
+    console.log('='.repeat(50));
+    console.log('• Use \'/*\' to match a single path segment');
+    console.log('  Example: \'/products/*\' matches \'/products/item1\' but not \'/products/cat/item1\'');
+    console.log('\n• Use \'/**\' to match any number of path segments');
+    console.log('  Example: \'/blog/**\' matches \'/blog/2024/post\' and \'/blog/category/2024/post\'');
+    console.log('\n• excludePaths takes precedence over includePaths');
+    console.log('  You can include a broad pattern and exclude specific subsets');
+    console.log('\n• Paths must start with \'/\'');
+    console.log('  Example: \'/products/*\' is valid, \'products/*\' is not');
+    console.log('\n💡 Tips:');
+    console.log('• Combine with sitemap: true for better page discovery');
+    console.log('• Use includePaths to focus on content-rich sections');
+    console.log('• Use excludePaths to skip duplicate or irrelevant content');
+
+  } catch (error) {
+    console.error('❌ Error:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
diff --git a/scrapegraph-js/src/crawl.js b/scrapegraph-js/src/crawl.js
index 5b5a0af..f8cef65 100644
--- a/scrapegraph-js/src/crawl.js
+++ b/scrapegraph-js/src/crawl.js
@@ -23,6 +23,8 @@ import { getMockResponse } from './utils/mockResponse.js';
  * @param {boolean} [options.mock] - Override mock mode for this request
  * @param {boolean} [options.renderHeavyJs=false] - Whether to render heavy JavaScript on the page
  * @param {boolean} [options.stealth=false] - Enable stealth mode to avoid bot detection
+ * @param {Array<string>} [options.includePaths] - List of path patterns to include (e.g., ['/products/*', '/blog/**']). Supports wildcards: * matches any characters, ** matches any path segments
+ * @param {Array<string>} [options.excludePaths] - List of path patterns to exclude (e.g., ['/admin/*', '/api/*']). Supports wildcards and takes precedence over includePaths
  * @returns {Promise<Object>} The crawl job response
  * @throws {Error} Throws an error if the HTTP request fails
  */
@@ -33,7 +35,7 @@ export async function crawl(
   schema,
   options = {}
 ) {
-  const { mock = null, renderHeavyJs = false, stealth = false } = options;
+  const { mock = null, renderHeavyJs = false, stealth = false, includePaths = null, excludePaths = null } = options;
 
   // Check if mock mode is enabled
   const useMock = mock !== null ? mock : isMockEnabled();
@@ -88,6 +90,14 @@ export async function crawl(
     payload.stealth = stealth;
   }
 
+  if (includePaths) {
+    payload.include_paths = includePaths;
+  }
+
+  if (excludePaths) {
+    payload.exclude_paths = excludePaths;
+  }
+
   try {
     const response = await axios.post(endpoint, payload, { headers });
     return response.data;
diff --git a/scrapegraph-py/examples/crawl/async/async_crawl_with_path_filtering_example.py b/scrapegraph-py/examples/crawl/async/async_crawl_with_path_filtering_example.py
new file mode 100644
index 0000000..b3650ad
--- /dev/null
+++ b/scrapegraph-py/examples/crawl/async/async_crawl_with_path_filtering_example.py
@@ -0,0 +1,98 @@
+"""
+Example of using the async crawl endpoint with path filtering.
+
+This example demonstrates how to use include_paths and exclude_paths
+to control which pages are crawled on a website (async version).
+"""
+import asyncio
+import os
+from scrapegraph_py import AsyncClient
+from pydantic import BaseModel, Field
+
+
+# Define your output schema
+class ProductInfo(BaseModel):
+    name: str = Field(description="Product name")
+    price: str = Field(description="Product price")
+    category: str = Field(description="Product category")
+
+
+class CrawlResult(BaseModel):
+    products: list[ProductInfo] = Field(description="List of products found")
+    categories: list[str] = Field(description="List of product categories")
+
+
+async def main():
+    # Initialize the async client
+    sgai_api_key = os.getenv("SGAI_API_KEY")
+
+    async with AsyncClient(api_key=sgai_api_key) as client:
+        print("🔍 Starting async crawl with path filtering...")
+        print("=" * 50)
+
+        # Example: Crawl only product pages, excluding certain sections
+        print("\n📝 Crawling e-commerce site with smart path filtering")
+        print("-" * 50)
+
+        result = await client.crawl(
+            url="https://example-shop.com",
+            prompt="Extract all products with their names, prices, and categories",
+            data_schema=CrawlResult.model_json_schema(),
+            extraction_mode=True,
+            depth=3,
+            max_pages=50,
+            sitemap=True,  # Use sitemap for better coverage
+            include_paths=[
+                "/products/**",          # Include all product pages
+                "/categories/*",         # Include category listings
+                "/collections/*"         # Include collection pages
+            ],
+            exclude_paths=[
+                "/products/out-of-stock/*",  # Skip out-of-stock items
+                "/products/*/reviews",       # Skip review pages
+                "/admin/**",                 # Skip admin pages
+                "/api/**",                   # Skip API endpoints
+                "/*.pdf"                     # Skip PDF files
+            ]
+        )
+
+        print(f"Task ID: {result.get('task_id')}")
+        print("\n✅ Async crawl job started successfully!")
+
+        # You can then poll for results using get_crawl
+        task_id = result.get('task_id')
+        if task_id:
+            print(f"\n⏳ Polling for results (task: {task_id})...")
+
+            # Poll every 5 seconds until complete
+            max_attempts = 60  # 5 minutes max
+            for attempt in range(max_attempts):
+                await asyncio.sleep(5)
+                status = await client.get_crawl(task_id)
+
+                state = status.get('state', 'UNKNOWN')
+                print(f"Attempt {attempt + 1}: Status = {state}")
+
+                if state == 'SUCCESS':
+                    print("\n✨ Crawl completed successfully!")
+                    result_data = status.get('result', {})
+                    print(f"Found {len(result_data.get('products', []))} products")
+                    break
+                elif state in ['FAILURE', 'REVOKED']:
+                    print(f"\n❌ Crawl failed with status: {state}")
+                    break
+            else:
+                print("\n⏰ Timeout: Crawl took too long")
+
+        print("\n" + "=" * 50)
+        print("💡 Tips for effective path filtering:")
+        print("=" * 50)
+        print("• Combine with sitemap=True for better page discovery")
+        print("• Use include_paths to focus on content-rich sections")
+        print("• Use exclude_paths to skip pages with duplicate content")
+        print("• Test your patterns on a small max_pages first")
+        print("• Remember: exclude_paths overrides include_paths")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/scrapegraph-py/examples/crawl/sync/crawl_with_path_filtering_example.py b/scrapegraph-py/examples/crawl/sync/crawl_with_path_filtering_example.py
new file mode 100644
index 0000000..ba9530e
--- /dev/null
+++ b/scrapegraph-py/examples/crawl/sync/crawl_with_path_filtering_example.py
@@ -0,0 +1,111 @@
+"""
+Example of using the crawl endpoint with path filtering.
+
+This example demonstrates how to use include_paths and exclude_paths
+to control which pages are crawled on a website.
+"""
+import os
+from scrapegraph_py import Client
+from pydantic import BaseModel, Field
+
+
+# Define your output schema
+class ProductInfo(BaseModel):
+    name: str = Field(description="Product name")
+    price: str = Field(description="Product price")
+    description: str = Field(description="Product description")
+
+
+class CrawlResult(BaseModel):
+    products: list[ProductInfo] = Field(description="List of products found")
+    total_products: int = Field(description="Total number of products")
+
+
+def main():
+    # Initialize the client
+    sgai_api_key = os.getenv("SGAI_API_KEY")
+    client = Client(api_key=sgai_api_key)
+
+    print("🔍 Starting crawl with path filtering...")
+    print("=" * 50)
+
+    # Example 1: Include only specific paths
+    print("\n📝 Example 1: Crawl only /products/* pages")
+    print("-" * 50)
+
+    result = client.crawl(
+        url="https://example.com",
+        prompt="Extract product information including name, price, and description",
+        data_schema=CrawlResult.model_json_schema(),
+        extraction_mode=True,
+        depth=2,
+        max_pages=10,
+        include_paths=["/products/*", "/items/*"],  # Only crawl product pages
+        exclude_paths=["/products/archived/*"]       # But skip archived products
+    )
+
+    print(f"Task ID: {result.get('task_id')}")
+    print("\n✅ Crawl job started successfully!")
+
+    # Example 2: Exclude admin and API paths
+    print("\n📝 Example 2: Crawl all pages except admin and API")
+    print("-" * 50)
+
+    result = client.crawl(
+        url="https://example.com",
+        prompt="Extract all relevant information",
+        data_schema=CrawlResult.model_json_schema(),
+        extraction_mode=True,
+        depth=2,
+        max_pages=20,
+        exclude_paths=[
+            "/admin/*",      # Skip all admin pages
+            "/api/*",        # Skip all API endpoints
+            "/private/*",    # Skip private pages
+            "/*.json"        # Skip JSON files
+        ]
+    )
+
+    print(f"Task ID: {result.get('task_id')}")
+    print("\n✅ Crawl job started successfully!")
+
+    # Example 3: Complex filtering with wildcards
+    print("\n📝 Example 3: Complex path filtering with wildcards")
+    print("-" * 50)
+
+    result = client.crawl(
+        url="https://example.com",
+        prompt="Extract blog content and metadata",
+        data_schema=CrawlResult.model_json_schema(),
+        extraction_mode=True,
+        depth=3,
+        max_pages=15,
+        include_paths=[
+            "/blog/**",           # Include all blog pages (any depth)
+            "/articles/*",        # Include top-level articles
+            "/news/2024/*"        # Include 2024 news only
+        ],
+        exclude_paths=[
+            "/blog/draft/*",      # Skip draft blog posts
+            "/blog/*/comments"    # Skip comment pages
+        ]
+    )
+
+    print(f"Task ID: {result.get('task_id')}")
+    print("\n✅ Crawl job started successfully!")
+
+    print("\n" + "=" * 50)
+    print("📚 Path Filtering Guide:")
+    print("=" * 50)
+    print("• Use '/*' to match a single path segment")
+    print("  Example: '/products/*' matches '/products/item1' but not '/products/cat/item1'")
+    print("\n• Use '/**' to match any number of path segments")
+    print("  Example: '/blog/**' matches '/blog/2024/post' and '/blog/category/2024/post'")
+    print("\n• exclude_paths takes precedence over include_paths")
+    print("  You can include a broad pattern and exclude specific subsets")
+    print("\n• Paths must start with '/'")
+    print("  Example: '/products/*' is valid, 'products/*' is not")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scrapegraph-py/scrapegraph_py/async_client.py b/scrapegraph-py/scrapegraph_py/async_client.py
index a898720..4240c63 100644
--- a/scrapegraph-py/scrapegraph_py/async_client.py
+++ b/scrapegraph-py/scrapegraph_py/async_client.py
@@ -862,11 +862,13 @@ async def crawl(
         headers: Optional[dict[str, str]] = None,
         render_heavy_js: bool = False,
         stealth: bool = False,
+        include_paths: Optional[list[str]] = None,
+        exclude_paths: Optional[list[str]] = None,
         return_toon: bool = False,
     ):
         """Send a crawl request with support for both AI extraction and
         markdown conversion modes
-        
+
         Args:
             url: The starting URL to crawl
             prompt: AI prompt for data extraction (required for AI extraction mode)
@@ -881,6 +883,10 @@ async def crawl(
             headers: Optional HTTP headers
             render_heavy_js: Enable heavy JavaScript rendering
             stealth: Enable stealth mode to avoid bot detection
+            include_paths: List of path patterns to include (e.g., ['/products/*', '/blog/**'])
+                          Supports wildcards: * matches any characters, ** matches any path segments
+            exclude_paths: List of path patterns to exclude (e.g., ['/admin/*', '/api/*'])
+                          Supports wildcards and takes precedence over include_paths
             return_toon: If True, return response in TOON format (reduces token usage by 30-60%)
         """
         logger.info("🔍 Starting crawl request")
@@ -906,6 +912,10 @@ async def crawl(
             logger.debug("⚡ Heavy JavaScript rendering enabled")
         if batch_size is not None:
             logger.debug(f"📦 Batch size: {batch_size}")
+        if include_paths:
+            logger.debug(f"✅ Include paths: {include_paths}")
+        if exclude_paths:
+            logger.debug(f"❌ Exclude paths: {exclude_paths}")
         if return_toon:
             logger.debug("🎨 TOON format output enabled")
 
@@ -931,6 +941,10 @@ async def crawl(
             request_data["batch_size"] = batch_size
         if headers is not None:
             request_data["headers"] = headers
+        if include_paths is not None:
+            request_data["include_paths"] = include_paths
+        if exclude_paths is not None:
+            request_data["exclude_paths"] = exclude_paths
 
         request = CrawlRequest(**request_data)
         logger.debug("✅ Request validation passed")
diff --git a/scrapegraph-py/scrapegraph_py/client.py b/scrapegraph-py/scrapegraph_py/client.py
index 93803d7..fa0e179 100644
--- a/scrapegraph-py/scrapegraph_py/client.py
+++ b/scrapegraph-py/scrapegraph_py/client.py
@@ -872,11 +872,13 @@ def crawl(
         headers: Optional[dict[str, str]] = None,
         render_heavy_js: bool = False,
         stealth: bool = False,
+        include_paths: Optional[list[str]] = None,
+        exclude_paths: Optional[list[str]] = None,
         return_toon: bool = False,
     ):
         """Send a crawl request with support for both AI extraction and
         markdown conversion modes
-        
+
         Args:
             url: The starting URL to crawl
             prompt: AI prompt for data extraction (required for AI extraction mode)
@@ -891,6 +893,10 @@ def crawl(
             headers: Optional HTTP headers
             render_heavy_js: Enable heavy JavaScript rendering
             stealth: Enable stealth mode to avoid bot detection
+            include_paths: List of path patterns to include (e.g., ['/products/*', '/blog/**'])
+                          Supports wildcards: * matches any characters, ** matches any path segments
+            exclude_paths: List of path patterns to exclude (e.g., ['/admin/*', '/api/*'])
+                          Supports wildcards and takes precedence over include_paths
             return_toon: If True, return response in TOON format (reduces token usage by 30-60%)
         """
         logger.info("🔍 Starting crawl request")
@@ -916,6 +922,10 @@ def crawl(
             logger.debug("⚡ Heavy JavaScript rendering enabled")
         if batch_size is not None:
             logger.debug(f"📦 Batch size: {batch_size}")
+        if include_paths:
+            logger.debug(f"✅ Include paths: {include_paths}")
+        if exclude_paths:
+            logger.debug(f"❌ Exclude paths: {exclude_paths}")
         if return_toon:
             logger.debug("🎨 TOON format output enabled")
 
@@ -941,6 +951,10 @@ def crawl(
             request_data["batch_size"] = batch_size
         if headers is not None:
             request_data["headers"] = headers
+        if include_paths is not None:
+            request_data["include_paths"] = include_paths
+        if exclude_paths is not None:
+            request_data["exclude_paths"] = exclude_paths
 
         request = CrawlRequest(**request_data)
         logger.debug("✅ Request validation passed")
diff --git a/scrapegraph-py/scrapegraph_py/models/crawl.py b/scrapegraph-py/scrapegraph_py/models/crawl.py
index e174030..72d6471 100644
--- a/scrapegraph-py/scrapegraph_py/models/crawl.py
+++ b/scrapegraph-py/scrapegraph_py/models/crawl.py
@@ -9,16 +9,22 @@
 class CrawlRequest(BaseModel):
     """
     Request model for the crawl endpoint.
-    
+
     The crawl endpoint supports two modes:
     1. AI Extraction Mode (extraction_mode=True): Uses AI to extract structured data
     2. Markdown Conversion Mode (extraction_mode=False): Converts pages to markdown (80% cheaper)
-    
+
     Sitemap Support:
     - When sitemap=True, the crawler uses sitemap.xml for better page discovery
     - Recommended for structured websites (e-commerce, news sites, blogs)
     - Provides more comprehensive crawling coverage
     - Works with both AI extraction and markdown conversion modes
+
+    Path Filtering:
+    - include_paths: Specify which paths to crawl (e.g., ['/products/*', '/blog/**'])
+    - exclude_paths: Specify which paths to skip (e.g., ['/admin/*', '/api/*'])
+    - Supports wildcards: * (any characters), ** (any path segments)
+    - exclude_paths takes precedence over include_paths
     """
     url: str = Field(
         ...,
@@ -74,6 +80,20 @@ class CrawlRequest(BaseModel):
     )
     render_heavy_js: bool = Field(default=False, description="Whether to render heavy JavaScript on the page")
     stealth: bool = Field(default=False, description="Enable stealth mode to avoid bot detection")
+    include_paths: Optional[list[str]] = Field(
+        default=None,
+        description="List of path patterns to include (e.g., ['/products/*', '/blog/**']). "
+        "Supports wildcards: * matches any characters, ** matches any path segments. "
+        "If empty, all paths are included.",
+        example=["/products/*", "/blog/**"]
+    )
+    exclude_paths: Optional[list[str]] = Field(
+        default=None,
+        description="List of path patterns to exclude (e.g., ['/admin/*', '/api/*']). "
+        "Supports wildcards: * matches any characters, ** matches any path segments. "
+        "Takes precedence over include_paths.",
+        example=["/admin/*", "/api/**"]
+    )
 
     @model_validator(mode="after")
     def validate_url(self) -> "CrawlRequest":
@@ -134,6 +154,21 @@ def validate_sitemap_usage(self) -> "CrawlRequest":
                 pass  # Could add logging here if needed
         return self
 
+    @model_validator(mode="after")
+    def validate_path_patterns(self) -> "CrawlRequest":
+        """Validate path patterns start with '/'"""
+        if self.include_paths:
+            for path in self.include_paths:
+                if not path.startswith("/"):
+                    raise ValueError(f"Include path must start with '/': {path}")
+
+        if self.exclude_paths:
+            for path in self.exclude_paths:
+                if not path.startswith("/"):
+                    raise ValueError(f"Exclude path must start with '/': {path}")
+
+        return self
+
 
 class GetCrawlRequest(BaseModel):
     """Request model for get_crawl endpoint"""
diff --git a/scrapegraph-py/tests/test_crawl_path_filtering.py b/scrapegraph-py/tests/test_crawl_path_filtering.py
new file mode 100644
index 0000000..c1daab5
--- /dev/null
+++ b/scrapegraph-py/tests/test_crawl_path_filtering.py
@@ -0,0 +1,116 @@
+"""
+Tests for crawl endpoint with path filtering functionality.
+"""
+import pytest
+from scrapegraph_py.models.crawl import CrawlRequest
+
+
+def test_crawl_request_with_include_paths():
+    """Test CrawlRequest with include_paths"""
+    request = CrawlRequest(
+        url="https://example.com",
+        prompt="Extract data",
+        data_schema={"type": "object"},
+        include_paths=["/products/*", "/blog/**"]
+    )
+
+    assert request.url == "https://example.com"
+    assert request.include_paths == ["/products/*", "/blog/**"]
+    assert request.exclude_paths is None
+
+
+def test_crawl_request_with_exclude_paths():
+    """Test CrawlRequest with exclude_paths"""
+    request = CrawlRequest(
+        url="https://example.com",
+        prompt="Extract data",
+        data_schema={"type": "object"},
+        exclude_paths=["/admin/*", "/api/**"]
+    )
+
+    assert request.url == "https://example.com"
+    assert request.exclude_paths == ["/admin/*", "/api/**"]
+    assert request.include_paths is None
+
+
+def test_crawl_request_with_both_path_filters():
+    """Test CrawlRequest with both include and exclude paths"""
+    request = CrawlRequest(
+        url="https://example.com",
+        prompt="Extract data",
+        data_schema={"type": "object"},
+        include_paths=["/products/**"],
+        exclude_paths=["/products/archived/*"]
+    )
+
+    assert request.include_paths == ["/products/**"]
+    assert request.exclude_paths == ["/products/archived/*"]
+
+
+def test_crawl_request_invalid_include_path():
+    """Test that include_paths must start with /"""
+    with pytest.raises(ValueError, match="Include path must start with '/'"):
+        CrawlRequest(
+            url="https://example.com",
+            prompt="Extract data",
+            data_schema={"type": "object"},
+            include_paths=["products/*"]  # Missing leading /
+        )
+
+
+def test_crawl_request_invalid_exclude_path():
+    """Test that exclude_paths must start with /"""
+    with pytest.raises(ValueError, match="Exclude path must start with '/'"):
+        CrawlRequest(
+            url="https://example.com",
+            prompt="Extract data",
+            data_schema={"type": "object"},
+            exclude_paths=["admin/*"]  # Missing leading /
+        )
+
+
+def test_crawl_request_markdown_mode_with_paths():
+    """Test CrawlRequest in markdown mode with path filtering"""
+    request = CrawlRequest(
+        url="https://example.com",
+        extraction_mode=False,  # Markdown mode
+        include_paths=["/blog/*"],
+        exclude_paths=["/blog/drafts/*"]
+    )
+
+    assert request.extraction_mode is False
+    assert request.include_paths == ["/blog/*"]
+    assert request.exclude_paths == ["/blog/drafts/*"]
+
+
+def test_crawl_request_serialization_excludes_none():
+    """Test that None values are excluded from serialization"""
+    request = CrawlRequest(
+        url="https://example.com",
+        prompt="Extract data",
+        data_schema={"type": "object"}
+        # include_paths and exclude_paths not provided (None)
+    )
+
+    serialized = request.model_dump(exclude_none=True)
+
+    assert "include_paths" not in serialized
+    assert "exclude_paths" not in serialized
+
+
+def test_crawl_request_serialization_includes_paths():
+    """Test that path filters are included in serialization when provided"""
+    request = CrawlRequest(
+        url="https://example.com",
+        prompt="Extract data",
+        data_schema={"type": "object"},
+        include_paths=["/products/*"],
+        exclude_paths=["/admin/*"]
+    )
+
+    serialized = request.model_dump(exclude_none=True)
+
+    assert "include_paths" in serialized
+    assert "exclude_paths" in serialized
+    assert serialized["include_paths"] == ["/products/*"]
+    assert serialized["exclude_paths"] == ["/admin/*"]
diff --git a/scrapegraph-py/uv.lock b/scrapegraph-py/uv.lock
index 508f3fa..13ceae1 100644
--- a/scrapegraph-py/uv.lock
+++ b/scrapegraph-py/uv.lock
@@ -1,9 +1,11 @@
 version = 1
+revision = 1
 requires-python = ">=3.10, <4.0"
 resolution-markers = [
     "python_full_version < '3.11'",
     "python_full_version == '3.11.*'",
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
 ]
 
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+[[package]]
+name = "anyio"
+version = "4.12.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266 }
+wheels = [
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+]
+
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 version = "3.3.11"
@@ -159,11 +175,11 @@ wheels = [
 
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+version = "4.0.3"
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+    { url = "https://files.pythonhosted.org/packages/a7/fa/e01228c2938de91d47b307831c62ab9e4001e747789d0b05baf779a6488c/async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028", size = 5721 },
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 [[package]]
@@ -391,7 +407,7 @@ name = "click"
 version = "8.2.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/60/6c/8ca2efa64cf75a977a0d7fac081354553ebe483345c734fb6b6515d96bbc/click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202", size = 286342 }
 wheels = [
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 ]
 
+[[package]]
+name = "dataclasses-json"
+version = "0.6.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "marshmallow" },
+    { name = "typing-inspect" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/64/a4/f71d9cf3a5ac257c993b5ca3f93df5f7fb395c725e7f1e6479d2514173c3/dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0", size = 32227 }
+wheels = [
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+
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 name = "dill"
 version = "0.4.0"
@@ -703,6 +732,61 @@ wheels = [
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 version = "2.32.5"
@@ -1882,6 +2413,7 @@ dependencies = [
     { name = "pydantic" },
     { name = "python-dotenv" },
     { name = "requests" },
+    { name = "toonify" },
 ]
 
 [package.optional-dependencies]
@@ -1889,6 +2421,14 @@ docs = [
     { name = "furo" },
     { name = "sphinx" },
 ]
+html = [
+    { name = "beautifulsoup4" },
+]
+langchain = [
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+    { name = "langchain-community" },
+    { name = "langchain-scrapegraph" },
+]
 
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 dev = [
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     { name = "beautifulsoup4", specifier = ">=4.12.3" },
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+    { name = "langchain-community", marker = "extra == 'langchain'", specifier = ">=0.2.11" },
+    { name = "langchain-scrapegraph", marker = "extra == 'langchain'", specifier = ">=0.1.0" },
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     { name = "requests", specifier = ">=2.32.3" },
     { name = "sphinx", marker = "extra == 'docs'", specifier = "==6.0" },
+    { name = "toonify", specifier = ">=1.0.0" },
 ]
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