docs: fixed missing import

README.md

@@ -24,9 +24,21 @@ Just say which information you want to extract and the library will do it for yo
   <img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/sgai-hero.png" alt="ScrapeGraphAI Hero" style="width: 100%;">
 </p>
 
-## News 📰
+## 🔗 ScrapeGraph API & SDKs
+If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful API [here!](https://dashboard.scrapegraphai.com/login)
 
-- ScrapegraphAI has now his APIs! Check it out [here](https://scrapegraphai.com)!
+<p align="center">
+  <img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/api-banner.png" alt="ScrapeGraph API Banner" style="width: 100%;">
+</p>
+
+We offer SDKs in both Python and Node.js, making it easy to integrate into your projects. Check them out below:
+
+| SDK       | Language | GitHub Link                                                                 |
+|-----------|----------|-----------------------------------------------------------------------------|
+| Python SDK | Python   | [scrapegraph-py](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-py) |
+| Node.js SDK | Node.js  | [scrapegraph-js](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-js) |
+
+The Official API Documentation can be found [here](https://docs.scrapegraphai.com/).
 
 ## 🚀 Quick install
 
@@ -87,8 +99,8 @@ graph_config = {
 
 # Create the SmartScraperGraph instance
 smart_scraper_graph = SmartScraperGraph(
-    prompt="Find some information about what does the company do, the name and a contact email.",
+    prompt="Extract me all the news from the website",
-    source="https://scrapegraphai.com/",
+    source="https://www.wired.com",
     config=graph_config
 )
 
@@ -100,10 +112,20 @@ print(json.dumps(result, indent=4))
 The output will be a dictionary like the following:
 
 ```python
-{
+"result": {
-    "company": "ScrapeGraphAI",
+    "news": [
-    "name": "ScrapeGraphAI Extracting content from websites and local documents using LLM",
+      {
-    "contact_email": "contact@scrapegraphai.com"
+        "title": "The New Jersey Drone Mystery May Not Actually Be That Mysterious",
+        "link": "https://www.wired.com/story/new-jersey-drone-mystery-maybe-not-drones/",
+        "author": "Lily Hay Newman"
+      },
+      {
+        "title": "Former ByteDance Intern Accused of Sabotage Among Winners of Prestigious AI Award",
+        "link": "https://www.wired.com/story/bytedance-intern-best-paper-neurips/",
+        "author": "Louise Matsakis"
+      },
+    ...
+    ]
 }
 ```
 There are other pipelines that can be used to extract information from multiple pages, generate Python scripts, or even generate audio files.
@@ -135,8 +157,7 @@ Try it directly on the web using Google Colab:
 ## 📖 Documentation
 
 The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/).
-
+Check out also the Docusaurus [here](https://docs-oss.scrapegraphai.com/).
-Check out also the Docusaurus [here](https://scrapegraph-doc.onrender.com/).
 
 ## 🏆 Sponsors
 <div style="text-align: center;">
@@ -204,4 +225,4 @@ ScrapeGraphAI is licensed under the MIT License. See the [LICENSE](https://githu
 - We would like to thank all the contributors to the project and the open-source community for their support.
 - ScrapeGraphAI is meant to be used for data exploration and research purposes only. We are not responsible for any misuse of the library.
 
-Made with ❤️ by [ScrapeGraph AI](https://scrapegraphai.com)
+Made with ❤️ by [ScrapeGraph AI](https://scrapegraphai.com)