feat: add group of code

Author: VinciGit00

.DS_Store

@@ -64,12 +64,12 @@
           {
             "lang": "python",
             "label": "Python",
-            "source": "import requests\n\nurl = 'https://api.scrapegraphai.com/v1/smartscraper'\nheaders = {\n    'SGAI-APIKEY': 'YOUR_API_KEY',\n    'Content-Type': 'application/json'\n}\npayload = {\n    'user_prompt': 'Extract info about the company',\n    'website_url': 'https://scrapegraphai.com/'\n}\n\nresponse = requests.post(url, json=payload, headers=headers)\ndata = response.json()"
+            "source": "from scrapegraph_py import Client\n\nclient = Client(api_key=\"your-api-key\")\n\nresponse = client.smartscraper(\n    website_url=\"https://scrapegraphai.com/\",\n    user_prompt=\"Extract info about the company\"\n)"
           },
           {
             "lang": "javascript",
             "label": "JavaScript",
-            "source": "const url = 'https://api.scrapegraphai.com/v1/smartscraper';\nconst headers = {\n  'SGAI-APIKEY': 'YOUR_API_KEY',\n  'Content-Type': 'application/json'\n};\nconst payload = {\n  user_prompt: 'Extract info about the company',\n  website_url: 'https://scrapegraphai.com/'\n};\n\nfetch(url, {\n  method: 'POST',\n  headers: headers,\n  body: JSON.stringify(payload)\n})\n  .then(response => response.json())\n  .then(data => console.log(data));"
+            "source": "import { Client } from 'scrapegraph-js';\n\n   // Initialize the client\nconst sgai_client = new Client(\"your-api-key\");\n\n try {\n  const response = await sgai_client.smartscraper({\n    websiteUrl: \"https://example-shop.com/products/456\",\n    userPrompt: \"Extract product details including name, price, availability, specifications, and customer ratings.\"\n  });\n\n  console.log('Request ID:', response.requestId);\n  console.log('Result:', response.result);\n} catch (error) {\n  console.error(error);\n} finally {\n  sgai_client.close();\n}"
           }
         ]
       }
@@ -128,13 +128,14 @@
           {
             "lang": "python",
             "label": "Python",
-            "source": "import requests\n\nurl = 'https://api.scrapegraphai.com/v1/smartscraper/YOUR_REQUEST_ID'\nheaders = {\n    'SGAI-APIKEY': 'YOUR_API_KEY'\n}\n\nresponse = requests.get(url, headers=headers)\ndata = response.json()"
-          },
+            "source": "ciao"
+            },
           {
             "lang": "javascript",
             "label": "JavaScript", 
             "source": "const url = 'https://api.scrapegraphai.com/v1/smartscraper/YOUR_REQUEST_ID';\nconst headers = {\n  'SGAI-APIKEY': 'YOUR_API_KEY'\n};\n\nfetch(url, { headers })\n  .then(response => response.json())\n  .then(data => console.log(data));"
           }
+  
         ]
       }
     },
@@ -191,12 +192,12 @@
           {
             "lang": "python",
             "label": "Python",
-            "source": "import requests\n\nurl = 'https://api.scrapegraphai.com/v1/markdownify'\nheaders = {\n    'SGAI-APIKEY': 'YOUR_API_KEY',\n    'Content-Type': 'application/json'\n}\npayload = {\n    'website_url': 'https://scrapegraphai.com/'\n}\n\nresponse = requests.post(url, json=payload, headers=headers)\ndata = response.json()"
+            "source": "from scrapegraph_py import Client\n\nclient = Client(api_key=\"your-api-key\")\n\nresponse = client.markdownify(\n    website_url=\"https://scrapegraphai.com/\"\n)"
           },
           {
             "lang": "javascript",
             "label": "JavaScript",
-            "source": "const url = 'https://api.scrapegraphai.com/v1/markdownify';\nconst headers = {\n  'SGAI-APIKEY': 'YOUR_API_KEY',\n  'Content-Type': 'application/json'\n};\nconst payload = {\n  website_url: 'https://scrapegraphai.com/'\n};\n\nfetch(url, {\n  method: 'POST',\n  headers: headers,\n  body: JSON.stringify(payload)\n})\n  .then(response => response.json())\n  .then(data => console.log(data));"
+            "source": "import { Client } from 'scrapegraph-js';\n\n// Initialize the client\nconst sgai_client = new Client(\"your-api-key\");\n\ntry {\n  const response = await sgai_client.markdownify({\n    websiteUrl: \"https://example-shop.com/products/456\",\n    userPrompt: \"Extract product details including name, price, availability, specifications, and customer ratings.\"\n  });\n\n  console.log('Request ID:', response.requestId);\n  console.log('Result:', response.result);\n} catch (error) {\n  console.error(error);\n} finally {\n  sgai_client.close();\n}"
           }
         ]
       }
@@ -372,6 +373,13 @@
       }
     },
     "/v1/searchscraper": {
+      "get": {
+        "tags": [
+          "SearchScraper"
+        ],
+        "summary": "Get Searchscraper Status",
+        "operationId": "get_searchscraper_status_v1_searchscraper__request_id__get",
+      },
       "post": {
         "tags": [
           "SearchScraper"
@@ -424,12 +432,12 @@
           {
             "lang": "python",
             "label": "Python",
-            "source": "import requests\nimport time\n\ndef search_and_wait(prompt, output_schema=None, max_retries=30, delay=2):\n    \"\"\"Search for information and wait for results\n    \n    Args:\n        prompt (str): Natural language query\n        output_schema (dict, optional): Schema to structure the response\n        max_retries (int): Maximum number of status checks\n        delay (int): Seconds to wait between status checks\n    \"\"\"\n    url = 'https://api.scrapegraphai.com/v1/searchscraper'\n    headers = {\n        'SGAI-APIKEY': 'YOUR_API_KEY',\n        'Content-Type': 'application/json'\n    }\n    \n    # Prepare the request payload\n    payload = {\n        'user_prompt': prompt,\n        'headers': {\n            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'\n        }\n    }\n    \n    # Add output schema if provided\n    if output_schema:\n        payload['output_schema'] = output_schema\n    \n    # Start the search\n    response = requests.post(url, json=payload, headers=headers)\n    \n    if response.status_code != 200:\n        raise Exception(f'Failed to start search: {response.text}')\n    \n    data = response.json()\n    request_id = data['request_id']\n    print(f'Search started with request ID: {request_id}')\n    \n    # Poll for results\n    for attempt in range(max_retries):\n        status_url = f'{url}/{request_id}'\n        status_response = requests.get(status_url, headers=headers)\n        status_data = status_response.json()\n        \n        if status_data['status'] == 'completed':\n            print('\\nSearch completed successfully!')\n            print('\\nResults:')\n            print('--------')\n            print(f\"Answer: {status_data['result'].get('answer')}\")\n            if 'details' in status_data['result']:\n                print('\\nDetails:')\n                for key, value in status_data['result']['details'].items():\n                    print(f'{key}: {value}')\n            print('\\nReference URLs:')\n            for url in status_data['reference_urls']:\n                print(f'- {url}')\n            return status_data\n            \n        elif status_data['status'] == 'failed':\n            raise Exception(f'Search failed: {status_data.get(\"error\", \"Unknown error\")}')\n        \n        print(f'Status: {status_data[\"status\"]}... (attempt {attempt + 1}/{max_retries})', end='\\r')\n        time.sleep(delay)\n    \n    raise TimeoutError(f'Search did not complete after {max_retries * delay} seconds')\n\n# Example usage\ntry:\n    # Define the output schema for structured results\n    schema = {\n        'answer': 'string',\n        'details': {\n            'version': 'string',\n            'release_date': 'string',\n            'download_url': 'string'\n        }\n    }\n    \n    # Run the search with the schema\n    results = search_and_wait(\n        prompt='What is the latest version of Python?',\n        output_schema=schema\n    )\n    \n    # Access specific fields from the structured response\n    version = results['result']['details']['version']\n    release_date = results['result']['details']['release_date']\n    \n    # Use the data in your application\n    print(f'\\nPython {version} was released on {release_date}')\n    \nexcept Exception as e:\n    print(f'Error: {str(e)}')"
+            "source": "from scrapegraph_py import Client\n\nclient = Client(api_key=\"your-api-key\")\n\nresponse = client.searchscraper(\n    user_prompt=\"What is the latest version of Python?\",\n    output_schema={\n        \"answer\": \"string\",\n        \"details\": {\n            \"version\": \"string\",\n            \"release_date\": \"string\",\n            \"download_url\": \"string\"\n        }\n    }\n)"
           },
           {
             "lang": "javascript",
             "label": "JavaScript",
-            "source": "const url = 'https://api.scrapegraphai.com/v1/searchscraper';\nconst headers = {\n  'SGAI-APIKEY': 'YOUR_API_KEY',\n  'Content-Type': 'application/json'\n};\nconst payload = {\n  user_prompt: 'What is the latest version of Python?',\n  output_schema: {\n    answer: 'string',\n    details: {\n      version: 'string',\n      release_date: 'string',\n      download_url: 'string'\n    }\n  }\n};\n\nfetch(url, {\n  method: 'POST',\n  headers: headers,\n  body: JSON.stringify(payload)\n})\n  .then(response => response.json())\n  .then(data => console.log(data));"
+            "source": "import { Client } from 'scrapegraph-js';\n\n// Initialize the client\nconst sgai_client = new Client(\"your-api-key\");\n\ntry {\n  const response = await sgai_client.searchscraper({\n    userPrompt: \"What is the latest version of Python?\",\n    outputSchema: {\n      answer: \"string\",\n      details: {\n        version: \"string\",\n        release_date: \"string\",\n        download_url: \"string\"\n      }\n    }\n  });\n\n  console.log('Request ID:', response.requestId);\n  console.log('Result:', response.result);\n} catch (error) {\n  console.error(error);\n} finally {\n  sgai_client.close();\n}"
           }
         ]
       }

api-reference/openapi.json

@@ -94,8 +94,8 @@
         {
           "group": "Browser Extensions",
           "pages": [
-
-            "services/extensions/firefox"
+            "services/extensions/firefox",
+            "services/extensions/chrome"
           ]
         }
       ]

mint.json

@@ -0,0 +1,168 @@
+---
+title: 'Chrome'
+description: 'Extract data from any webpage directly in your browser'
+icon: 'chrome'
+---
+
+## Overview
+
+The ScrapeGraphAI Chrome Extension brings the power of our AI-driven data extraction directly to your browser. With a simple prompt, you can extract structured data from any webpage you're visiting, making web research and data collection effortless.
+
+<Note>
+Install the extension from the [Chrome Web Store](https://chromewebstore.google.com/detail/scrapegraphai/keccjglpnpkialnoaoigiboeghioehfb)
+</Note>
+
+<Frame>
+  <img src="/services/images/chrome-extension.png" alt="ScrapeGraphAI Chrome Extension" />
+</Frame>
+
+
+## Key Features
+
+<CardGroup cols={2}>
+  <Card title="One-Click Access" icon="mouse-pointer">
+    Extract data from any webpage with a single click
+  </Card>
+  <Card title="Natural Language Prompts" icon="comments">
+    Describe what you want to extract in plain English
+  </Card>
+  <Card title="Structured Output" icon="table">
+    Get clean, structured JSON data
+  </Card>
+  <Card title="Browser Integration" icon="browser">
+    Seamless integration with your browsing experience
+  </Card>
+</CardGroup>
+
+## Getting Started
+
+### API Key Setup
+
+First, you'll need to get your ScrapeGraphAI API key:
+
+<Frame>
+  <img src="/services/images/chrome-api-key.png" alt="Chrome Extension API Key Setup" />
+</Frame>
+
+1. Get your API key from the [dashboard](https://dashboard.scrapegraphai.com)
+2. Click the ScrapeGraphAI icon in your toolbar
+3. Enter your API key in the settings
+4. Click Save to store your API key securely
+
+### Usage
+
+Once your API key is set up, you can start extracting data:
+
+<Frame>
+  <img src="/services/images/firefox-main-view.png" alt="Chrome Extension Main View" />
+</Frame>
+
+1. Navigate to any webpage you want to extract data from
+2. Click the ScrapeGraphAI icon in your toolbar
+3. Enter your prompt describing what information you want to extract
+4. Click Extract to receive structured JSON data based on your prompt
+
+### Example: Reddit Posts Extraction
+
+Here's an example of extracting posts from Reddit:
+
+```text
+"List me all the posts in the page, extracting title, post url, image url, upvotes and comments"
+```
+
+The extension will return structured JSON data like this:
+
+```json
+{
+  "posts": [
+    {
+      "title": "Example Reddit Post Title",
+      "post_url": "https://reddit.com/r/example/post1",
+      "image_url": "https://i.redd.it/example1.jpg",
+      "upvotes": 1234,
+      "comments": 56
+    },
+    {
+      "title": "Another Reddit Post",
+      "post_url": "https://reddit.com/r/example/post2",
+      "image_url": "https://i.redd.it/example2.jpg",
+      "upvotes": 789,
+      "comments": 23
+    }
+    // ... more posts
+  ]
+}
+```
+
+## Example Use Cases
+
+### Research
+- Extract company information
+- Gather product details
+- Collect article data
+- Compile contact information
+
+### Data Collection
+- Market research
+- Competitive analysis
+- Content aggregation
+- Price monitoring
+
+### Personal Use
+- Save article summaries
+- Extract recipe ingredients
+- Compile reading lists
+- Save product comparisons
+
+## Example Prompts
+
+Here are some example prompts you can use with the extension:
+
+```text
+"Extract the main article content, author, and publication date"
+"Get all product information including price, features, and specifications"
+"Find all contact information including email, phone, and social media links"
+"Extract company information including location, size, and industry"
+```
+
+## Best Practices
+
+### Writing Effective Prompts
+1. Be specific about what you want to extract
+2. Include all relevant fields in your prompt
+3. Use clear, natural language
+4. Consider the structure of your desired output
+
+### Tips for Better Results
+- Wait for the page to load completely before extraction
+- Ensure you have access to all content you want to extract
+- Use specific terminology when requesting technical information
+- Review the extracted data for accuracy
+
+## Privacy & Security
+
+- The extension only accesses webpage content when explicitly triggered
+- Data is processed securely through ScrapeGraphAI's servers
+- No personal browsing data is stored or tracked
+- Complies with Google's Chrome Web Store policies
+
+## Support & Resources
+
+<CardGroup cols={2}>
+  <Card title="Documentation" icon="book" href="/introduction">
+    Comprehensive guides and tutorials
+  </Card>
+  <Card title="Community" icon="discord" href="https://discord.gg/uJN7TYcpNa">
+    Join our Discord community
+  </Card>
+  <Card title="GitHub" icon="github" href="https://github.com/ScrapeGraphAI">
+    Check out our open-source projects
+  </Card>
+  <Card title="Support" icon="headset" href="mailto:[email protected]">
+    Get help with the extension
+  </Card>
+</CardGroup>
+
+<Card title="Ready to Start?" icon="rocket" href="https://chrome.google.com/webstore/detail/scrapegraphai-extension">
+  Install the Chrome extension now and start extracting data with ease!
+</Card>

services/.DS_Store

@@ -20,7 +20,9 @@ Try Markdownify instantly in our [interactive playground](https://dashboard.scra
 
 ### Quick Start
 
-```python
+<CodeGroup>
+
+```python Python
 from scrapegraph_py import Client
 
 client = Client(api_key="your-api-key")
@@ -30,6 +32,39 @@ response = client.markdownify(
 )
 ```
 
+```javascript JavaScript
+import { Client } from 'scrapegraph-js';
+
+// Initialize the client
+const sgai_client = new Client("your-api-key");
+
+try {
+  const response = await sgai_client.markdownify({
+    websiteUrl: "https://example.com"
+  });
+
+  console.log('Request ID:', response.requestId);
+  console.log('Result:', response.result);
+} catch (error) {
+  console.error(error);
+} finally {
+  sgai_client.close();
+}
+```
+
+```bash cURL
+curl -X 'POST' \
+  'https://api.scrapegraphai.com/v1/markdownify' \
+  -H 'accept: application/json' \
+  -H 'SGAI-APIKEY: your-api-key' \
+  -H 'Content-Type: application/json' \
+  -d '{
+  "website_url": "https://example.com"
+}'
+```
+
+</CodeGroup>
+
 <Note>
 Get your API key from the [dashboard](https://dashboard.scrapegraphai.com)
 </Note>

services/extensions/chrome.mdx

@@ -20,17 +20,51 @@ Try SearchScraper instantly in our [interactive playground](https://dashboard.sc
 
 ### Quick Start
 
-```python
+<CodeGroup>
+
+```python Python
 from scrapegraph_py import Client
 
 client = Client(api_key="your-api-key")
 
-# Execute search with schema
 response = client.searchscraper(
-    user_prompt="What are the key features and pricing of ChatGPT Plus?",
+    user_prompt="What are the key features and pricing of ChatGPT Plus?"
 )
 ```
 
+```javascript JavaScript
+import { Client } from 'scrapegraph-js';
+
+// Initialize the client
+const sgai_client = new Client("your-api-key");
+
+try {
+  const response = await sgai_client.searchscraper({
+    userPrompt: "Search for information"
+  });
+
+  console.log('Request ID:', response.requestId);
+  console.log('Result:', response.result);
+} catch (error) {
+  console.error(error);
+} finally {
+  sgai_client.close();
+}
+```
+
+```bash cURL
+curl -X 'POST' \
+  'https://api.scrapegraphai.com/v1/searchscraper' \
+  -H 'accept: application/json' \
+  -H 'SGAI-APIKEY: your-api-key' \
+  -H 'Content-Type: application/json' \
+  -d '{
+  "user_prompt": "Search for information"
+}'
+```
+
+</CodeGroup>
+
 <Note>
 Get your API key from the [dashboard](https://dashboard.scrapegraphai.com)
 </Note>