# This code is conceptual and requires API keys/subscriptions to work.
# It demonstrates how a backend script might gather lead information.
import requests
import json
# --- Configuration (replace with your actual API details) ---
# You would typically sign up for a service like Apollo.io, Hunter.io, ZoomInfo, etc.
# These services provide APIs to programmatically access their lead databases.
API_KEY = "YOUR_LEAD_INTELLIGENCE_API_KEY" # Replace with your actual API key
BASE_API_URL = "https://api.example-lead-provider.com/v1/" # Example API URL
# --- Function to search for companies ---
def search_companies(industry=None, funding_stage=None, employee_min=None, employee_max=None):
"""
Searches for companies based on specified criteria using a conceptual API.
"""
endpoint = f"{BASE_API_URL}companies/search"
params = {
"api_key": API_KEY,
"industry": industry,
"funding_stage": funding_stage,
"employees_min": employee_min,
"employees_max": employee_max
}
# Filter out None values from params
params = {k: v for k, v in params.items() if v is not None}
print(f"Searching companies with params: {params}")
try:
response = requests.get(endpoint, params=params)
response.raise_for_status() # Raise an exception for HTTP errors
data = response.json()
return data.get("companies", [])
except requests.exceptions.RequestException as e:
print(f"Error searching companies: {e}")
return []
# --- Function to get contacts for a specific company ---
def get_company_contacts(company_id):
"""
Retrieves key contacts for a given company ID using a conceptual API.
"""
endpoint = f"{BASE_API_URL}company/{company_id}/contacts"
params = {
"api_key": API_KEY
}
print(f"Getting contacts for company ID: {company_id}")
try:
response = requests.get(endpoint, params=params)
response.raise_for_status()
data = response.json()
return data.get("contacts", [])
except requests.exceptions.RequestException as e:
print(f"Error getting contacts for company {company_id}: {e}")
return []
# --- Main execution flow ---
if __name__ == "__main__":
print("--- Starting Lead Generation Process ---")
# 1. Define your target criteria
target_industry = "Financial Services"
target_funding = "Series C" # Example: Seed, Series A, B, C, etc.
min_employees = 100
max_employees = 500
print(f"\nSearching for companies in '{target_industry}' with '{target_funding}' funding and {min_employees}-{max_employees} employees...")
found_companies = search_companies(
industry=target_industry,
funding_stage=target_funding,
employee_min=min_employees,
employee_max=max_employees
)
if found_companies:
print(f"\nFound {len(found_companies)} companies matching criteria. Processing leads...")
for i, company in enumerate(found_companies[:3]): # Process first 3 companies for demo
print(f"\n--- Processing Company {i+1}: {company.get('name', 'N/A')} ---")
company_id = company.get("id")
if not company_id:
print("Company ID not found, skipping.")
continue
print(f"Company Name: {company.get('name', 'N/A')}")
print(f"Website: {company.get('website', 'N/A')}")
print(f"Industry: {company.get('industry', 'N/A')}")
print(f"Employees: {company.get('employees', 'N/A')}")
print(f"Funding: {company.get('latest_funding_round', 'N/A')}")
print(f"Description: {company.get('description', 'N/A')[:100]}...") # Truncate for brevity
contacts = get_company_contacts(company_id)
if contacts:
print("\nKey Contacts:")
for contact in contacts[:3]: # Show first 3 contacts
print(f" - Name: {contact.get('first_name', '')} {contact.get('last_name', '')}")
print(f" Title: {contact.get('title', 'N/A')}")
print(f" Email: {contact.get('email', 'N/A')}")
print(f" Phone: {contact.get('phone', 'N/A')}")
print(f" LinkedIn: {contact.get('linkedin_url', 'N/A')}")
else:
print("No contacts found for this company or an error occurred.")
# In a real scenario, you would save this data to a database or CRM
# Example: save_lead_to_crm(company, contacts)
else:
print("No companies found matching the criteria.")
print("\n--- Lead Generation Process Complete ---")