feat: added banners and homes example

Author: PeriniM

cookbook/examples/zillow.mdx renamed to cookbook/examples/homes.mdx

@@ -1,20 +1,20 @@
 ---
-title: '🏠 Zillow Listings'
-description: 'How to extract real estate data from Zillow'
+title: '🏠 Homes Listings'
+description: 'How to extract real estate data from Homes.com'
 ---
 
 <img
   style={{ borderRadius: '0.5rem' }}
-  src="/cookbook/images/zillow-banner.png"
+  src="/cookbook/images/homes-banner.png"
 />
 
-Learn how to extract property listings from Zillow.com using ScrapeGraphAI's SmartScraper. This example demonstrates how to gather detailed property information, pricing, and agent details.
+Learn how to extract property listings from Homes.com using ScrapeGraphAI's SmartScraper. This example demonstrates how to gather detailed property information, pricing, and agent details.
 
 <Note>
 Try it yourself in our interactive notebooks:
-- [SDK Implementation](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/zillow-forsale/scrapegraph_sdk.ipynb)
-- [LangChain Integration](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/zillow-forsale/scrapegraph_langchain.ipynb)
-- [LlamaIndex Integration](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/zillow-forsale/scrapegraph_llama_index.ipynb)
+- [SDK Implementation](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/homes-forsale/scrapegraph_sdk.ipynb)
+- [LangChain Integration](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/homes-forsale/scrapegraph_langchain.ipynb)
+- [LlamaIndex Integration](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/cookbook/homes-forsale/scrapegraph_llama_index.ipynb)
 </Note>
 
 ## The Goal
@@ -43,7 +43,7 @@ from typing import List, Optional
 from scrapegraph_py import Client
 
 # Schema for a single house listing
-class HouseListingSchema(BaseModel):
+class HouseSchema(BaseModel):
     price: int = Field(description="Price of the house in USD")
     bedrooms: int = Field(description="Number of bedrooms")
     bathrooms: int = Field(description="Number of bathrooms")
@@ -57,15 +57,15 @@ class HouseListingSchema(BaseModel):
     agency: str = Field(description="Agency listing the house")
 
 # Schema containing a list of house listings
-class ZillowHouseListingsSchema(BaseModel):
-    houses: List[HouseListingSchema] = Field(description="List of house listings on Zillow or similar platforms")
+class HouseListingsSchema(BaseModel):
+    houses: List[HouseSchema] = Field(description="List of house listings on Homes.com or similar platforms")
 
 client = Client(api_key="your-api-key")
 
 response = client.smartscraper(
-    website_url="https://www.zillow.com/homes/for_sale/",
+    website_url="https://www.homes.com/san-francisco-ca/?bb=nzpwspy0mS749snkvsb",
     user_prompt="Extract property listings information",
-    output_schema=ZillowHouseListingsSchema
+    output_schema=HouseListingsSchema
 )
 ```
 

cookbook/images/homes-banner.png

@@ -62,8 +62,8 @@ ScrapeGraphAI is a powerful suite of LLM-driven web scraping tools designed to e
 
 ## Core Services
 
-- **SmartScraper**: AI-powered extraction for complex websites
-- **LocalScraper**: Fast, efficient scraping for simple pages
+- **SmartScraper**: AI-powered extraction for any website
+- **LocalScraper**: AI-powered extraction for local HTML content
 - **Markdownify**: Convert web content to clean Markdown format
 
 ## Implementation Options

cookbook/images/zillow-banner.png

@@ -113,7 +113,7 @@
         "cookbook/examples/company-info",
         "cookbook/examples/github-trending",
         "cookbook/examples/wired",
-        "cookbook/examples/zillow",
+        "cookbook/examples/homes",
         "cookbook/examples/research-agent"
       ]
     },

introduction.mdx

@@ -4,6 +4,10 @@ description: 'AI-powered extraction from local HTML content'
 icon: 'file-code'
 ---
 
+<Frame>
+  <img src="/services/images/localscraper-banner.png" alt="LocalScraper Service" />
+</Frame>
+
 ## Overview
 
 LocalScraper brings the same powerful AI extraction capabilities as SmartScraper but works with your local HTML content. This makes it perfect for scenarios where you already have the HTML content or need to process cached pages, internal documents, or dynamically generated content.

mint.json

@@ -4,6 +4,10 @@ description: 'Convert web content to clean, structured markdown'
 icon: 'markdown'
 ---
 
+<Frame>
+  <img src="/services/images/markdownify-banner.png" alt="Markdownify Service" />
+</Frame>
+
 ## Overview
 
 Markdownify is our specialized service that transforms web content into clean, well-formatted markdown. It intelligently preserves the content's structure while removing unnecessary elements, making it perfect for content migration, documentation creation, and knowledge base building.