add examples for scrapegraph

Scrapegraph-ai/Scraper_docker.py

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+""" 
+Basic example of scraping pipeline using SmartScraper
+"""
+from scrapegraphai.graphs import SmartScraperGraph
+
+graph_config = {
+    "llm": {
+        "model": "ollama/mistral",
+        "temperature": 0,
+        "format": "json",  # Ollama needs the format to be specified explicitly
+        # "model_tokens": 2000, # set context length arbitrarily,
+    },
+}
+
+smart_scraper_graph = SmartScraperGraph(
+    prompt="List me all the news with their description.",
+    source="https://perinim.github.io/projects",
+    config=graph_config
+)
+
+result = smart_scraper_graph.run()
+print(result)

Scrapegraph-ai/Scraper_gemini.py

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+from scrapegraphai.graphs import SmartScraperGraph
+
+OPENAI_API_KEY = "YOUR_API_KEY"
+
+# Define the configuration for the graph
+graph_config = {
+    "llm": {
+        "api_key": OPENAI_API_KEY,
+        "model": "gemini-pro",
+    },
+}
+
+# Create the SmartScraperGraph instance
+smart_scraper_graph = SmartScraperGraph(
+    prompt="List me all the news with their description.",
+    file_source="https://www.wired.com/",  # also accepts a string with the already downloaded HTML code in text format
+    config=graph_config
+)
+
+result = smart_scraper_graph.run()
+print(result)

Scrapegraph-ai/Scraper_ollama.py

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+
+from scrapegraphai.graphs import SmartScraperGraph
+
+graph_config = {
+    "llm": {
+        "model": "ollama/mistral",
+        "temperature": 0,
+        "format": "json",  # Ollama needs the format to be specified explicitly
+        # "model_tokens": 2000, # set context length arbitrarily,
+        "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
+    },
+    "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "temperature": 0,
+        "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
+    }
+}
+
+
+smart_scraper_graph = SmartScraperGraph(
+    prompt="List me all the news with their description.",
+    source="https://perinim.github.io/projects",
+    config=graph_config
+)
+
+result = smart_scraper_graph.run()
+print(result)

Scrapegraph-ai/Scraper_openai.py

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+from scrapegraphai.graphs import SmartScraperGraph
+
+OPENAI_API_KEY = "YOUR_API_KEY"
+
+# Define the configuration for the graph
+graph_config = {
+    "llm": {
+        "api_key": OPENAI_API_KEY,
+        "model": "gpt-3.5-turbo",
+    },
+}
+
+# Create the SmartScraperGraph instance
+smart_scraper_graph = SmartScraperGraph(
+    prompt="List me all the news with their description.",
+    file_source="https://www.wired.com/",  # also accepts a string with the already downloaded HTML code in text format
+    config=graph_config
+)
+
+result = smart_scraper_graph.run()
+print(result)