main code

ai_agent_tutorials/ai_competitors_analysis_team/main.py

@@ -1,37 +1,113 @@
-from firecrawl import FirecrawlApp
+from exa_py import Exa
-from pydantic import BaseModel, Field
+from phi.agent import Agent
-from typing import Optional
+from phi.tools.firecrawl import FirecrawlTools
+from phi.model.openai import OpenAIChat
 
-# Define a simple schema for testing
+exa = Exa(api_key="50a85")
-class SimpleSchema(BaseModel):
-    title: Optional[str] = Field(description="Title of the webpage.")
-    description: Optional[str] = Field(description="Meta description of the webpage.")
 
-# Initialize the FirecrawlApp with your API key
+firecrawl_tools = FirecrawlTools(
-app = FirecrawlApp(api_key='fc-')  # Replace with your API key
+    api_key="f2",
+    scrape=False,
+    crawl=True,
+    limit=5
+)
+
+firecrawl_agent = Agent(
+    model=OpenAIChat(id="gpt-4o-mini", api_key="s"),
+    tools=[firecrawl_tools, ],
+    show_tool_calls=True,
+    markdown=True
+)
+
+analysis_agent = Agent(
+    model=OpenAIChat(id="gpt-4o-mini", api_key="s"),
+    show_tool_calls=True,
+    markdown=True
+)
+
+def get_competitor_urls(url=None, description=None):
+
+    if url:
+        result = exa.find_similar(
+            url=url,
+            excludeDomains=[url],
+            num_results=3,
+            exclude_source_domain=True,
+            category="company"
+        )
+    elif description:
+        result = exa.search(
+            description,
+            type="neural",
+            category="company",
+            use_autoprompt=True,
+            num_results=3
+        )
+    else:
+        raise ValueError("Please provide either a URL or a description.")
+    
+    competitor_urls = [item.url for item in result.results]
+    return competitor_urls
 
 def extract_competitor_info(competitor_url: str):
-
     try:
-        # Use Firecrawl to scrape and extract data
+        crawl_response = firecrawl_agent.run(f"Crawl and summarize {competitor_url}")
-        data = app.scrape_url(competitor_url, {
+        crawled_data = crawl_response.content
-            'formats': ['extract'],
+        
-            'extract': {
+        structured_info = firecrawl_agent.run(
-                'schema': SimpleSchema.model_json_schema(),
+            f"""Extract the following information from the crawled data:
-            }
+            - Product pricing and features: Extract exact pricing numbers from their pricing page.
-        })
+            - Technology stack information
-        return data.get("extract", {})
+            - Marketing messaging/positioning
-    except Exception as e:
+            - Customer testimonials/case studies
-        return {"error": str(e)}
+            - Latest news and developements
+
+            Crawled Data:
+            {crawled_data}
+            """
+        )
+        
+        return {
+            "competitor": competitor_url,
+            "data": structured_info.content
+        }
+    except Exception as e:
+        return {
+            "competitor": competitor_url,
+            "error": str(e)
+        }
+
+def generate_analysis_report(competitor_data: list):
+    combined_data = "\n\n".join([str(data) for data in competitor_data])
+    
+    report = analysis_agent.run(
+        f"""Analyze the following competitor data and generate a detailed report:
+        {combined_data}
+
+        Tasks:
+        1. Compare pricing and identify opportunities for competitive pricing.
+        2. Analyze features and highlight unique or missing features.
+        3. Evaluate marketing messaging and suggest positioning strategies.
+        4. Summarize customer testimonials and case studies.
+        5. Provide actionable insights for market positioning.
+        """
+    )
+    return report.response
+
+def main():
+    competitor_urls = get_competitor_urls(url="https://jenni.ai")
+    print(f"Competitor URLs: {competitor_urls}")
+    
+    competitor_data = []
+    for url in competitor_urls:
+        print(f"\nAnalyzing Competitor: {url}")
+        competitor_info = extract_competitor_info(url)
+        competitor_data.append(competitor_info)
+    
+    analysis_report = generate_analysis_report(competitor_data)
+    
+    print("\nCompetitor Analysis Report:")
+    print(analysis_report)
 
-# Example usage
 if __name__ == "__main__":
-    # Competitor URL to analyze
+    main()
-    competitor_url = "https://www.equal.in"  # Replace with your competitor URL
-    
-    # Extract competitor information
-    competitor_info = extract_competitor_info(competitor_url)
-    
-    # Print the structured information
-    print(f"Competitor: {competitor_url}")
-    print(competitor_info)