Create app.py

app.py

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+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)