from flask import Flask, request, jsonify import requests from bs4 import BeautifulSoup from selenium import webdriver from selenium.webdriver.chrome.service import Service from selenium.webdriver.chrome.options import Options # Initialize Flask app app = Flask(__name__) # Grok API Setup GROK_API_KEY = 'YOUR_GROK_API_KEY' GROK_URL = 'https://api.grok.ai/your-endpoint' # Update with correct Grok API URL def qualify_lead(lead_data): headers = {'Authorization': f'Bearer {GROK_API_KEY}'} payload = {'text': lead_data} response = requests.post(GROK_URL, headers=headers, json=payload) return response.json() # Web Scraping for Google (and LinkedIn if needed) def scrape_google(query): headers = {'User-Agent': 'Mozilla/5.0'} url = f'https://www.google.com/search?q={query}' response = requests.get(url, headers=headers) soup = BeautifulSoup(response.text, 'html.parser') results = [] for g in soup.find_all('h3'): link = g.find_parent('a') if link: results.append(link.get('href')) return results # Optional LinkedIn Scraping (using Selenium) def scrape_linkedin(profile_url): options = Options() options.add_argument("--headless") # Run in background driver = webdriver.Chrome(service=Service("/path/to/chromedriver"), options=options) driver.get(profile_url) # Implement scraping logic to extract information from LinkedIn profile page profile_data = driver.page_source # Example, adjust based on LinkedIn structure driver.quit() return profile_data # Flask routes @app.route('/scrape-google', methods=['POST']) def scrape_google_route(): query = request.json.get('query') if query: results = scrape_google(query) return jsonify(results), 200 return jsonify({"error": "No query provided"}), 400 @app.route('/qualify-lead', methods=['POST']) def qualify_lead_route(): lead_data = request.json.get('lead_data') if lead_data: qualified_info = qualify_lead(lead_data) return jsonify(qualified_info), 200 return jsonify({"error": "No lead data provided"}), 400 if __name__ == '__main__': app.run(debug=True)