Claude Web Crawler with Batch Scrape

.gitignore

@@ -29,3 +29,4 @@ apps/js-sdk/firecrawl/dist
 /examples/o1_web_crawler/firecrawl_env
 /examples/crm_lead_enrichment/crm_lead_enrichment_env
 /.venv
+/examples/claude_web_crawler/firecrawl_env

examples/claude_web_crawler/claude_web_crawler.py

@@ -0,0 +1,164 @@
+import os
+from firecrawl import FirecrawlApp
+import json
+from dotenv import load_dotenv
+import anthropic
+
+# ANSI color codes
+class Colors:
+    CYAN = '\033[96m'
+    YELLOW = '\033[93m'
+    GREEN = '\033[92m'
+    RED = '\033[91m'
+    MAGENTA = '\033[95m'
+    BLUE = '\033[94m'
+    RESET = '\033[0m'
+
+# Load environment variables
+load_dotenv()
+
+# Retrieve API keys from environment variables
+firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")
+anthropic_api_key = os.getenv("ANTHROPIC_API_KEY")
+
+# Initialize the FirecrawlApp and OpenAI client
+app = FirecrawlApp(api_key=firecrawl_api_key)
+client = anthropic.Anthropic(api_key=anthropic_api_key)
+
+# Find the page that most likely contains the objective
+def find_relevant_page_via_map(objective, url, app, client):
+    try:
+        print(f"{Colors.CYAN}Understood. The objective is: {objective}{Colors.RESET}")
+        print(f"{Colors.CYAN}Initiating search on the website: {url}{Colors.RESET}")
+        
+        map_prompt = f"""
+        The map function generates a list of URLs from a website and it accepts a search parameter. Based on the objective of: {objective}, come up with a 1-2 word search parameter that will help us find the information we need. Only respond with 1-2 words nothing else.
+        """
+
+        print(f"{Colors.YELLOW}Analyzing objective to determine optimal search parameter...{Colors.RESET}")
+        completion = client.messages.create(
+            model="claude-3-5-sonnet-20241022",
+            max_tokens=1000,
+            temperature=0,
+            system="You are an expert web crawler. Respond with the best search parameter.",
+            messages=[
+                {
+                    "role": "user",
+                    "content": [
+                        {
+                            "type": "text",
+                            "text": map_prompt
+                        }
+                    ]
+                }
+            ]
+        )
+
+        map_search_parameter = completion.content[0].text
+        print(f"{Colors.GREEN}Optimal search parameter identified: {map_search_parameter}{Colors.RESET}")
+
+        print(f"{Colors.YELLOW}Mapping website using the identified search parameter...{Colors.RESET}")
+        map_website = app.map_url(url, params={"search": map_search_parameter})
+        print(f"{Colors.GREEN}Website mapping completed successfully.{Colors.RESET}")
+        print(f"{Colors.GREEN}Located {len(map_website['links'])} relevant links.{Colors.RESET}")
+        return map_website['links']
+    except Exception as e:
+        print(f"{Colors.RED}Error encountered during relevant page identification: {str(e)}{Colors.RESET}")
+        return None
+    
+# Scrape the top 3 pages and see if the objective is met, if so return in json format else return None
+def find_objective_in_top_pages(map_website, objective, app, client):
+    try:
+        # Get top 2 links from the map result
+        top_links = map_website[:2]
+        print(f"{Colors.CYAN}Proceeding to analyze top {len(top_links)} links: {top_links}{Colors.RESET}")
+        
+        # Scrape the pages in batch
+        batch_scrape_result = app.batch_scrape_urls(top_links, {'formats': ['markdown']})
+        print(f"{Colors.GREEN}Batch page scraping completed successfully.{Colors.RESET}")
+        
+        
+        for scrape_result in batch_scrape_result['data']:
+
+            # Check if objective is met
+            check_prompt = f"""
+            Given the following scraped content and objective, determine if the objective is met.
+            If it is, extract the relevant information in a simple and concise JSON format. Use only the necessary fields and avoid nested structures if possible.
+            If the objective is not met with confidence, respond with 'Objective not met'.
+
+            Objective: {objective}
+            Scraped content: {scrape_result['markdown']}
+
+            Remember:
+            1. Only return JSON if you are confident the objective is fully met.
+            2. Keep the JSON structure as simple and flat as possible.
+            3. Do not include any explanations or markdown formatting in your response.
+            """
+        
+            completion = client.messages.create(
+                model="claude-3-5-sonnet-20241022",
+                max_tokens=1000,
+                temperature=0,
+                system="You are an expert web crawler. Respond with the relevant information in JSON format.",
+                messages=[
+                    {
+                        "role": "user",
+                        "content": [
+                            {
+                                "type": "text",
+                                "text": check_prompt
+                            }
+                        ]
+                    }
+                ]
+            )
+            
+            result = completion.content[0].text
+            
+            if result != "Objective not met":
+                print(f"{Colors.GREEN}Objective potentially fulfilled. Relevant information identified.{Colors.RESET}")
+                try:
+                    return json.loads(result)
+                except json.JSONDecodeError:
+                    print(f"{Colors.RED}Error in parsing response. Proceeding to next page...{Colors.RESET}")
+            else:
+                print(f"{Colors.YELLOW}Objective not met on this page. Proceeding to next link...{Colors.RESET}")
+        
+        print(f"{Colors.RED}All available pages analyzed. Objective not fulfilled in examined content.{Colors.RESET}")
+        return None
+    
+    except Exception as e:
+        print(f"{Colors.RED}Error encountered during page analysis: {str(e)}{Colors.RESET}")
+        return None
+
+# Main function to execute the process
+def main():
+    # Get user input
+    url = input(f"{Colors.BLUE}Enter the website to crawl: {Colors.RESET}")
+    if not url.strip():
+        url = "https://www.firecrawl.dev/"
+    
+    objective = input(f"{Colors.BLUE}Enter your objective: {Colors.RESET}")
+    if not objective.strip():
+        objective = "find me the pricing plans"
+    
+    print(f"{Colors.YELLOW}Initiating web crawling process...{Colors.RESET}")
+    # Find the relevant page
+    map_website = find_relevant_page_via_map(objective, url, app, client)
+    print(map_website)
+    
+    if map_website:
+        print(f"{Colors.GREEN}Relevant pages identified. Proceeding with detailed analysis...{Colors.RESET}")
+        # Find objective in top pages
+        result = find_objective_in_top_pages(map_website, objective, app, client)
+        
+        if result:
+            print(f"{Colors.GREEN}Objective successfully fulfilled. Extracted information:{Colors.RESET}")
+            print(f"{Colors.MAGENTA}{json.dumps(result, indent=2)}{Colors.RESET}")
+        else:
+            print(f"{Colors.RED}Unable to fulfill the objective with the available content.{Colors.RESET}")
+    else:
+        print(f"{Colors.RED}No relevant pages identified. Consider refining the search parameters or trying a different website.{Colors.RESET}")
+
+if __name__ == "__main__":
+    main()