feature/gemini-2.5-company-extractor

examples/gemini-2.5-web-extractor/.env.example

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+# Google Gemini API Key
+GOOGLE_API_KEY=your_google_api_key_here
+
+# Firecrawl API Key
+FIRECRAWL_API_KEY=your_firecrawl_api_key_here
+
+# SerpAPI Key
+SERP_API_KEY=your_serp_api_key_here 

examples/gemini-2.5-web-extractor/.gitignore

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+# Environment variables
+.env
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db 

examples/gemini-2.5-web-extractor/README.md

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+# Gemini 2.5 Web Extractor
+
+A powerful web information extraction tool that combines Google's Gemini 2.5 Pro (Experimental) model with Firecrawl's web extraction capabilities to gather structured information about companies from the web.
+
+## Features
+
+- Uses Google Search (via SerpAPI) to find relevant web pages
+- Leverages Gemini 2.5 Pro (Experimental) to intelligently select the most relevant URLs
+- Extracts structured information using Firecrawl's advanced web extraction
+- Real-time progress monitoring and colorized console output
+
+## Prerequisites
+
+- Python 3.8 or higher
+- Google API Key (Gemini)
+- Firecrawl API Key
+- SerpAPI Key
+
+## Setup
+
+1. Clone the repository:
+
+```bash
+git clone <repository-url>
+cd gemini-2.5-web-extractor
+```
+
+2. Install dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+3. Set up environment variables:
+   - Copy `.env.example` to `.env`
+   - Fill in your API keys in the `.env` file:
+     - `GOOGLE_API_KEY`: Your Google API key for Gemini
+     - `FIRECRAWL_API_KEY`: Your Firecrawl API key
+     - `SERP_API_KEY`: Your SerpAPI key
+
+## Usage
+
+Run the script:
+
+```bash
+python gemini-2.5-web-extractor.py
+```
+
+The script will:
+
+1. Prompt you for a company name
+2. Ask what information you want to extract about the company
+3. Search for relevant web pages
+4. Use Gemini to select the most relevant URLs
+5. Extract structured information using Firecrawl
+6. Display the results in a formatted JSON output
+
+## Example
+
+```bash
+Enter the company name: Tesla
+Enter what information you want about the company: latest electric vehicle models and their specifications
+```
+
+The script will then:
+
+1. Search for relevant Tesla information
+2. Select the most informative URLs about Tesla's current EV lineup
+3. Extract and structure the vehicle specifications
+4. Present the data in a clean, organized format
+
+## Error Handling
+
+The script includes comprehensive error handling for:
+
+- API failures
+- Network issues
+- Invalid responses
+- Timeout scenarios
+
+All errors are clearly displayed with colored output for better visibility.
+
+## License
+
+[Add your license information here]

examples/gemini-2.5-web-extractor/gemini-2.5-web-extractor.py

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+import os
+import json
+import time
+import requests
+from dotenv import load_dotenv
+from serpapi.google_search import GoogleSearch
+from google import genai
+
+# 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()
+
+# Initialize clients
+client = genai.Client(api_key=os.getenv("GOOGLE_API_KEY"))
+firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")
+serp_api_key = os.getenv("SERP_API_KEY")
+
+
+if not firecrawl_api_key:
+    print(f"{Colors.RED}Warning: FIRECRAWL_API_KEY not found in environment variables{Colors.RESET}")
+
+def search_google(query):
+    """Search Google using SerpAPI and return top results."""
+    print(f"{Colors.YELLOW}Searching Google for '{query}'...{Colors.RESET}")
+    search = GoogleSearch({"q": query, "api_key": serp_api_key})
+    return search.get_dict().get("organic_results", [])
+
+def select_urls_with_gemini(company, objective, serp_results):
+    """
+    Use Gemini 2.5 Flash to select URLs from SERP results.
+    Returns a list of URLs.
+    """
+    try:
+        serp_data = [{"title": r.get("title"), "link": r.get("link"), "snippet": r.get("snippet")} 
+                     for r in serp_results if r.get("link")]
+
+        prompt = (
+            "Task: Select relevant URLs from search results.\n\n"
+            "Instructions:\n"
+            "1. Analyze the search results for information about the specified company\n"
+            "2. Select URLs that are most likely to contain the requested information\n"
+            "3. Return ONLY a JSON object with the following structure: {\"selected_urls\": [\"url1\", \"url2\"]}\n"
+            "4. Do not include social media links\n\n"
+            f"Company: {company}\n"
+            f"Information Needed: {objective}\n"
+            f"Search Results: {json.dumps(serp_data, indent=2)}\n\n"
+            "Response Format: {\"selected_urls\": [\"https://example.com\", \"https://example2.com\"]}"
+        )
+
+        response = client.models.generate_content(
+            model="gemini-2.5-pro-exp-03-25",
+            contents=prompt
+        )
+
+        # Clean the response text
+        cleaned_response = response.text.strip()
+        if cleaned_response.startswith('```'):
+            cleaned_response = cleaned_response.split('```')[1]
+            if cleaned_response.startswith('json'):
+                cleaned_response = cleaned_response[4:]
+        cleaned_response = cleaned_response.strip()
+
+        try:
+            # Parse JSON response
+            result = json.loads(cleaned_response)
+            if isinstance(result, dict) and "selected_urls" in result:
+                urls = result["selected_urls"]
+            else:
+                # Fallback to text parsing
+                urls = [line.strip() for line in cleaned_response.split('\n') 
+                       if line.strip().startswith(('http://', 'https://'))]
+        except json.JSONDecodeError:
+            # Fallback to text parsing
+            urls = [line.strip() for line in cleaned_response.split('\n') 
+                   if line.strip().startswith(('http://', 'https://'))]
+
+        # Clean up URLs
+        cleaned_urls = [url.replace('/*', '').rstrip('/') for url in urls]
+        cleaned_urls = [url for url in cleaned_urls if url]
+
+        if not cleaned_urls:
+            print(f"{Colors.YELLOW}No valid URLs found in response.{Colors.RESET}")
+            return []
+
+        print(f"{Colors.CYAN}Selected URLs for extraction:{Colors.RESET}")
+        for url in cleaned_urls:
+            print(f"- {url}")
+
+        return cleaned_urls
+
+    except Exception as e:
+        print(f"{Colors.RED}Error selecting URLs: {str(e)}{Colors.RESET}")
+        return []
+
+def extract_company_info(urls, prompt, company, api_key):
+    """Use requests to call Firecrawl's extract endpoint with selected URLs."""
+    print(f"{Colors.YELLOW}Extracting structured data from the provided URLs using Firecrawl...{Colors.RESET}")
+    
+    headers = {
+        'Content-Type': 'application/json',
+        'Authorization': f'Bearer {api_key}'
+    }
+    
+    payload = {
+        "urls": urls,
+        "prompt": prompt + " for " + company,
+        "enableWebSearch": True
+    }
+    
+    try:
+        response = requests.post(
+            "https://api.firecrawl.dev/v1/extract",
+            headers=headers,
+            json=payload,
+            timeout=30
+        )
+        
+        data = response.json()
+        
+        if not data.get('success'):
+            print(f"{Colors.RED}API returned error: {data.get('error', 'No error message')}{Colors.RESET}")
+            return None
+        
+        extraction_id = data.get('id')
+        if not extraction_id:
+            print(f"{Colors.RED}No extraction ID found in response.{Colors.RESET}")
+            return None
+
+        return poll_firecrawl_result(extraction_id, api_key)
+
+    except requests.exceptions.RequestException as e:
+        print(f"{Colors.RED}Request failed: {e}{Colors.RESET}")
+        return None
+    except json.JSONDecodeError as e:
+        print(f"{Colors.RED}Failed to parse response: {e}{Colors.RESET}")
+        return None
+    except Exception as e:
+        print(f"{Colors.RED}Failed to extract data: {e}{Colors.RESET}")
+        return None
+
+def poll_firecrawl_result(extraction_id, api_key, interval=10, max_attempts=60):
+    """Poll Firecrawl API to get the extraction result."""
+    url = f"https://api.firecrawl.dev/v1/extract/{extraction_id}"
+    headers = {
+        'Authorization': f'Bearer {api_key}'
+    }
+
+    print(f"{Colors.YELLOW}Waiting for extraction to complete...{Colors.RESET}")
+    
+    for attempt in range(1, max_attempts + 1):
+        try:
+            response = requests.get(url, headers=headers, timeout=30)
+            response.raise_for_status()
+            data = response.json()
+
+            if data.get('success') and data.get('data'):
+                print(f"{Colors.GREEN}Data successfully extracted:{Colors.RESET}")
+                print(json.dumps(data['data'], indent=2))
+                return data['data']
+            elif data.get('success') and not data.get('data'):
+                if attempt % 6 == 0:  
+                    print(f"{Colors.YELLOW}Still processing... (attempt {attempt}/{max_attempts}){Colors.RESET}")
+                time.sleep(interval)
+            else:
+                print(f"{Colors.RED}API Error: {data.get('error', 'No error message provided')}{Colors.RESET}")
+                return None
+
+        except requests.exceptions.RequestException as e:
+            print(f"{Colors.RED}Request error: {str(e)}{Colors.RESET}")
+            return None
+        except json.JSONDecodeError as e:
+            print(f"{Colors.RED}JSON parsing error: {str(e)}{Colors.RESET}")
+            return None
+        except Exception as e:
+            print(f"{Colors.RED}Unexpected error: {str(e)}{Colors.RESET}")
+            return None
+
+    print(f"{Colors.RED}Max polling attempts reached. Extraction did not complete in time.{Colors.RESET}")
+    return None
+
+def main():
+    company = input(f"{Colors.BLUE}Enter the company name: {Colors.RESET}")
+    objective = input(f"{Colors.BLUE}Enter what information you want about the company: {Colors.RESET}")
+    
+    serp_results = search_google(f"{company}")
+    if not serp_results:
+        print(f"{Colors.RED}No search results found.{Colors.RESET}")
+        return
+    
+    selected_urls = select_urls_with_gemini(company, objective, serp_results)
+    
+    if not selected_urls:
+        print(f"{Colors.RED}No URLs were selected.{Colors.RESET}")
+        return
+    
+    data = extract_company_info(selected_urls, objective, company, firecrawl_api_key)
+    
+    if data:
+        print(f"{Colors.GREEN}Extraction completed successfully.{Colors.RESET}")
+    else:
+        print(f"{Colors.RED}Failed to extract the requested information. Try refining your prompt or choosing a different company.{Colors.RESET}")
+
+if __name__ == "__main__":
+    main()

examples/gemini-2.5-web-extractor/requirements.txt

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+python-dotenv==1.0.0
+google-generativeai==0.3.2
+requests==2.31.0
+serpapi==0.1.5