Automate B2B Lead Generation with AI

// Extract contact info from a business website
const response = await fetch('https://api.injectapi.com/api/extract', {
  method: 'POST',
  headers: {
    'X-API-Key': 'your-api-key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    url: 'https://example-company.com/contact',
    mode: 'contact'  // AI knows to extract contact data
  })
});

const data = await response.json();

// Get structured contact data
console.log(data.data);
// {
//   company_name: "Example Corp",
//   email: "sales@example-company.com",
//   phone: "+1-555-0123",
//   address: "123 Main St, San Francisco, CA 94102",
//   social_profiles: {
//     linkedin: "https://linkedin.com/company/example-corp",
//     twitter: "https://twitter.com/examplecorp"
//   },
//   contact_person: "John Smith",
//   job_title: "Sales Director"
// }

// Export to CRM
await exportToCRM(data.data);

import requests
from concurrent.futures import ThreadPoolExecutor

def extract_lead(url):
    response = requests.post(
        'https://api.injectapi.com/api/extract',
        headers={'X-API-Key': 'your-api-key'},
        json={'url': url, 'mode': 'contact'}
    )
    return response.json()['data']

# List of company websites from directory scraping
urls = [
    'https://company1.com/contact',
    'https://company2.com/about',
    'https://company3.com/team',
    # ... 1000s more
]

# Extract all leads in parallel
with ThreadPoolExecutor(max_workers=10) as executor:
    leads = list(executor.map(extract_lead, urls))

# Filter and deduplicate
valid_leads = [
    lead for lead in leads
    if lead.get('email') and lead.get('phone')
]

print(f"Extracted {len(valid_leads)} verified leads")

# Export to CSV for CRM import
import csv
with open('leads.csv', 'w') as f:
    writer = csv.DictWriter(f, fieldnames=valid_leads[0].keys())
    writer.writeheader()
    writer.writerows(valid_leads)