feat: Add Chatwoot Agent Bot prototype and FAQ knowledge base

- Created chatwoot-agent-bot/ with Node.js webhook server
- Bot detects intent (greeting, billing, technical, features, account)
- Auto-responds from FAQ knowledge base or escalates to human
- FAQ-KB.md: Living knowledge base that grows with customer questions
- CHATWOOT-SETUP.md: Complete deployment and configuration guide
- Supports Telegram notifications on escalation
- Bot runs on port 3001, ready for Chatwoot webhook integration
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2026-04-01 16:26:05 -04:00
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#!/usr/bin/env python3
"""
Sales Prospector v2 - Intelligent HOA Lead Generation
Searches for HOA websites, crawls for contact info, extracts board/mgmt contacts
"""
import json
import os
import re
import time
import subprocess
from datetime import datetime
from urllib.parse import urlparse, urljoin
from pathlib import Path
# Config
SCRIPT_DIR = Path(__file__).parent.absolute()
STATE_DIR = SCRIPT_DIR / "state"
LOG_DIR = SCRIPT_DIR / "logs"
LEADS_DIR = SCRIPT_DIR / "leads"
for d in [STATE_DIR, LOG_DIR, LEADS_DIR]:
d.mkdir(parents=True, exist_ok=True)
STATE_FILE = STATE_DIR / "prospector-v2-state.json"
LOG_FILE = LOG_DIR / f"prospector-v2-{datetime.now().strftime('%Y%m%d')}.log"
METROS = ["Charlotte NC", "Atlanta GA", "Orlando FL", "Phoenix AZ"]
# Search config
SEARCHES_PER_METRO = [
'{metro} HOA "board of directors"',
'{metro} homeowners association contact',
'{metro} HOA management company',
'{metro} HOA board members',
'{metro} community association management',
]
# Keywords for validating HOA sites
HOA_KEYWORDS = ['hoa', 'homeowners', 'association', 'board', 'community', 'management', 'condo', 'townhome']
# CRM Config
TWENTY_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiI5M2FmNGFmNS0zZWQ0LTQ1ZDMtOWE5Zi01MDMzZjc3YTY3MjMiLCJ0eXBlIjoiQVBJX0tFWSIsIndvcmtzcGFjZUlkIjoiOTNhZjRhZjUtM2VkNC00NWQzLTlhOWYtNTAzM2Y3N2E2NzIzIiwiaWF0IjoxNzczMzI4NDQzLCJleHAiOjE4MDQ3ODE2NDIsImp0aSI6IjIwZjEyYzkwLTRkMDctNGJmNi1iMzk3LTZjNmU3MzlmMThjOCJ9.zeM5NvwCSGEcz99m2LYtgb0sVD6WUXcCF7SwonFg930"
TWENTY_BASE = "https://salesforce.hoaledgeriq.com/rest"
def log(msg):
ts = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
line = f"[{ts}] {msg}"
print(line)
with open(LOG_FILE, 'a') as f:
f.write(line + '\n')
def load_state():
if STATE_FILE.exists():
with open(STATE_FILE) as f:
return json.load(f)
return {
"metro_index": 0,
"search_index": 0,
"processed_domains": [],
"leads_found": 0,
"domains_queue": [], # Domains found but not yet crawled
"current_domain": None,
"cycle_count": 0
}
def save_state(state):
with open(STATE_FILE, 'w') as f:
json.dump(state, f, indent=2)
def get_throttle_delay():
"""Returns delay in seconds based on business hours"""
hour = datetime.now().hour
if 9 <= hour < 18:
return 120 # 2 min business hours
return 60 # 1 min overnight
def extract_domain(url):
"""Extract clean domain from URL"""
try:
parsed = urlparse(url)
domain = parsed.netloc.lower()
if domain.startswith('www.'):
domain = domain[4:]
return domain
except:
return None
def is_hoa_domain(domain):
"""Check if domain looks like an HOA site"""
if not domain:
return False
domain_lower = domain.lower()
return any(kw in domain_lower for kw in HOA_KEYWORDS)
def search_web(query, count=10):
"""Run web search via openclaw web_search tool"""
log(f"SEARCH: {query}")
try:
# Use openclaw CLI for web search
result = subprocess.run(
['openclaw', 'web-search', query, '--count', str(count)],
capture_output=True,
text=True,
timeout=60
)
if result.returncode == 0 and result.stdout:
# Parse results - look for URLs
urls = []
for line in result.stdout.split('\n'):
if line.startswith('http'):
urls.append(line.strip())
# Also extract from markdown format
url_match = re.search(r'https?://[^\s\)\]\"\']+', line)
if url_match:
urls.append(url_match.group(0))
return list(set(urls))
except Exception as e:
log(f"Search error: {e}")
return []
def fetch_page(url, max_chars=3000):
"""Fetch page content via web_fetch"""
try:
result = subprocess.run(
['openclaw', 'web-fetch', url, '--max-chars', str(max_chars)],
capture_output=True,
text=True,
timeout=30
)
if result.returncode == 0:
return result.stdout
except Exception as e:
log(f"Fetch error for {url}: {e}")
return None
def extract_emails(text):
"""Extract email addresses from text"""
if not text:
return []
# Pattern for emails
pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'
emails = re.findall(pattern, text)
# Filter out common false positives
filtered = [e for e in emails if not any(x in e.lower() for x in ['example.com', 'test.com', 'domain.com', 'email.com'])]
return list(set(filtered))
def extract_phones(text):
"""Extract phone numbers from text"""
if not text:
return []
# Various phone patterns
patterns = [
r'\(?\d{3}\)?[-.\s]\d{3}[-.\s]\d{4}', # (555) 123-4567
r'\d{3}[-.\s]\d{3}[-.\s]\d{4}', # 555-123-4567
r'\+?1[-.\s]?\(?\d{3}\)?[-.\s]\d{3}[-.\s]\d{4}', # +1 (555) 123-4567
]
phones = []
for pattern in patterns:
phones.extend(re.findall(pattern, text))
return list(set(phones))
def extract_names_and_titles(text):
"""Extract potential board member names with titles"""
if not text:
return []
# Look for patterns like "John Smith, President" or "Board Member: Jane Doe"
titles = ['president', 'vice president', 'vp', 'treasurer', 'secretary', 'board member',
'director', 'manager', 'community manager', 'property manager']
results = []
lines = text.split('\n')
for line in lines:
line_lower = line.lower()
for title in titles:
if title in line_lower:
# Extract name before/after title
# Simple: capture 2-3 capitalized words near the title
match = re.search(r'([A-Z][a-z]+\s[A-Z][a-z]+(?:\s[A-Z][a-z]+)?)', line)
if match:
name = match.group(1)
results.append({"name": name, "title": title.title()})
return results
def extract_hoa_info(domain, content):
"""Extract HOA name and details from content"""
info = {
"name": None,
"homes": None,
"location": None
}
if not content:
return info
# Try to find HOA name from title or first heading
lines = content.split('\n')
for line in lines[:20]:
if '#' in line: # Markdown header
clean = line.replace('#', '').strip()
if len(clean) > 3:
info['name'] = clean
break
# Look for home count patterns
home_patterns = [
r'(\d+)\s+(?:homes|units|properties|residences|households)',
r'(?:over|more than)\s+(\d+)\s+(?:homes|units)',
]
for pattern in home_patterns:
match = re.search(pattern, content, re.IGNORECASE)
if match:
info['homes'] = match.group(1)
break
return info
def assess_quality(emails, phones, names, info):
"""Assess lead quality based on available data"""
score = 0
if emails: score += 3
if phones: score += 2
if names: score += 2
if info.get('name'): score += 1
if info.get('homes'): score += 2
if score >= 7:
return "HOT"
elif score >= 4:
return "WARM"
return "COLD"
def push_to_crm(lead):
"""Push lead to Twenty CRM"""
try:
body = f"""## HOA Prospect - {lead['quality']}
**Name:** {lead.get('hoa_name