320 lines
12 KiB
Python
320 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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Unified Multi-Surface Scraper for VeriPath Audits.
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Extracts GBP + Apple Maps + Website, merges into verified JSON contract.
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Working surfaces:
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- Google Business Profile (via noworneverev/google-maps-scraper)
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- Apple Maps (headless Firefox → /data/search JSON)
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- Website (direct HTTP fetch)
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Bot-walled (headless detection, no free bypass):
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- Bing Places, Yelp
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"""
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import asyncio
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import json
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import sys
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import re
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import os
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from datetime import datetime, timezone
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# Ensure scraper is importable
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sys.path.insert(0, "/tmp/google-maps-scraper/src")
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from gmaps_scraper.scraper import GoogleMapsScraper
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from apple_scraper import scrape_apple
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from bing_provider import scrape_bing
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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async def geocode(query):
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"""Get coordinates from Google Maps search."""
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import urllib.request
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import urllib.parse
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search_url = f"https://www.google.com/maps/search/{urllib.parse.quote(query)}/"
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req = urllib.request.Request(search_url, headers={"User-Agent": "Mozilla/5.0"})
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try:
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with urllib.request.urlopen(req, timeout=10) as resp:
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html = resp.read().decode("utf-8", errors="replace")
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except Exception:
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return None
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m = re.search(r'"center":\{"lat":(-?\d+\.\d+),"lng":(-?\d+\.\d+)}', html)
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if m:
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return float(m.group(1)), float(m.group(2))
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m = re.search(r'@(-?\d+\.\d+),(-?\d+\.\d+),\d+z', html)
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if m:
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return float(m.group(1)), float(m.group(2))
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return None
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def build_gmaps_url(query, coords):
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"""Build Google Maps search URL."""
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import urllib.parse
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encoded = urllib.parse.quote(query)
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if coords:
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lat, lon = coords
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return f"https://www.google.com/maps/search/{encoded}/@{lat},{lon},14z/data=!3m1!4b1"
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return f"https://www.google.com/maps/search/{encoded}/data=!3m1!4b1"
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async def scrape_google(query, coords):
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"""Scrape Google Business Profile data."""
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url = build_gmaps_url(query, coords)
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try:
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async with GoogleMapsScraper() as scraper:
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result = await scraper.scrape(url)
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if result and result.place:
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p = result.place
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# Hours: ["Thursday9 AM–6 PM", "SundayClosed", ...]
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hours_dict = {}
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if p.hours:
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for h in p.hours:
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m = re.match(r'(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)(.+)', h, re.IGNORECASE)
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if m:
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day = m.group(1).lower()
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time_str = m.group(2).strip()
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time_str = time_str.replace('\u202f', ' ').replace('\u2013', '-').replace('\ue14d', '').strip()
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hours_dict[day] = time_str
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return {
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"name": p.name,
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"address": p.address,
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"phone": p.phone,
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"website": p.website,
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"rating": p.rating,
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"reviews": p.review_count,
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"hours": hours_dict,
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"category": p.category,
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"price_level": p.price_level,
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"description": p.description,
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"photos_count": p.photos_count,
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"latitude": p.latitude,
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"longitude": p.longitude,
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"url": p.google_maps_url,
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"permanently_closed": p.permanently_closed,
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"temporarily_closed": p.temporarily_closed,
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}
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except Exception as e:
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print(f" [FAIL] Google: {e}")
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return None
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def fetch_website_data(website_url):
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"""Extract basic info from business website."""
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if not website_url:
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return None
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import urllib.request
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try:
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req = urllib.request.Request(website_url, headers={"User-Agent": "Mozilla/5.0"})
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with urllib.request.urlopen(req, timeout=10) as resp:
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html = resp.read().decode("utf-8", errors="replace")
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data = {"source_url": website_url}
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# Extract title
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m = re.search(r'<title>([^<]+)</title>', html, re.IGNORECASE)
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if m:
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data["title"] = m.group(1).strip()
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# Extract meta description
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m = re.search(r'<meta[^>]*name=["\']description["\'][^>]*content=["\']([^"\']+)["\']', html, re.IGNORECASE)
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if not m:
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m = re.search(r'<meta[^>]*content=["\']([^"\']+)["\'][^>]*name=["\']description["\']', html, re.IGNORECASE)
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if m:
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data["description"] = m.group(1).strip()
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# Extract phone from page
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phone_match = re.search(r'(\(?\d{3}\)?[\s-]?\d{3}[\s-]?\d{4})', html)
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if phone_match:
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data["phone_on_page"] = phone_match.group(1)
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return data
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except Exception as e:
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print(f" [FAIL] Website: {e}")
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return None
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def merge_and_validate(gbp_data=None, apple_data=None, website_data=None, bing_data=None):
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"""Merge data from all surfaces and flag mismatches."""
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contract = {
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"audit": {
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"timestamp": datetime.now(timezone.utc).isoformat(),
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"tool": "multi_scraper_v1",
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"surfaces_checked": {
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"google_business_profile": bool(gbp_data),
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"apple_maps": bool(apple_data),
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"bing_places": bool(bing_data),
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"website": bool(website_data),
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},
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"verification": {},
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},
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"primary_source": "google_business_profile" if gbp_data else None,
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"name": None,
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"address": None,
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"phone": None,
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"website": None,
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"rating": None,
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"reviews": None,
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"reviews_sample": None, # Yelp-sourced via Apple Maps proxy
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"hours": None,
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"category": None,
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"price_level": None,
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"photos_count": None,
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"description": None,
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"coordinates": None,
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"closed_status": None,
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"sources": {
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"google_business_profile": gbp_data,
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"apple_maps": apple_data,
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"bing_places": bing_data,
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"website": website_data,
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},
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}
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# Cross-source NAP verification
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sources = [("google", gbp_data), ("apple", apple_data)]
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for field in ["name", "phone", "website"]:
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values = {}
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for src_name, src_data in sources:
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if src_data and src_data.get(field):
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values[src_name] = src_data[field]
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if len(values) > 1:
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first_val = list(values.values())[0]
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mismatches = {k: v for k, v in values.items() if v != first_val}
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if mismatches:
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contract["audit"]["verification"][f"{field}_mismatch"] = {
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"primary": first_val,
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"conflicts": mismatches,
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}
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# Hours cross-reference
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if gbp_data and apple_data:
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gbp_hours = gbp_data.get("hours") or {}
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apple_hours = apple_data.get("hours") or {}
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if gbp_hours and apple_hours:
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hour_mismatches = {}
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for day in gbp_hours:
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if day in apple_hours and gbp_hours[day] != apple_hours[day]:
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hour_mismatches[day] = {
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"google": gbp_hours[day],
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"apple": apple_hours[day],
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}
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if hour_mismatches:
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contract["audit"]["verification"]["hours_mismatch"] = hour_mismatches
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# Use GBP as primary source
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if gbp_data:
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contract["name"] = gbp_data.get("name")
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contract["address"] = re.sub(r'[\U000E0000-\U000EFFFF]', '', gbp_data.get("address", "")).strip()
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contract["phone"] = re.sub(r'[\U000E0000-\U000EFFFF]', '', gbp_data.get("phone", "")).strip()
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contract["website"] = gbp_data.get("website")
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contract["rating"] = gbp_data.get("rating")
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contract["reviews"] = gbp_data.get("reviews")
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contract["reviews_sample"] = apple_data.get("reviews_sample") if apple_data else None
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contract["hours"] = gbp_data.get("hours")
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contract["category"] = gbp_data.get("category")
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contract["price_level"] = gbp_data.get("price_level")
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contract["photos_count"] = gbp_data.get("photos_count")
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contract["description"] = gbp_data.get("description")
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contract["coordinates"] = {
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"lat": gbp_data.get("latitude"),
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"lon": gbp_data.get("longitude"),
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}
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contract["closed_status"] = {
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"permanently_closed": gbp_data.get("permanently_closed"),
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"temporarily_closed": gbp_data.get("temporarily_closed"),
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}
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return contract
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async def main():
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if len(sys.argv) < 3:
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print("Usage: multi_scraper.py <business_name> <city, state>")
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sys.exit(1)
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business = sys.argv[1]
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location = sys.argv[2]
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query = f"{business} {location}"
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print(f"Scraping: {query}")
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print("=" * 60)
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# Step 1: Geocode
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print("Geocoding location...")
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coords = await geocode(query)
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if coords:
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print(f" Coords: {coords[0]}, {coords[1]}")
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# Step 2: Scrape GBP (primary)
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print("\nScraping Google Business Profile...")
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gbp_data = await scrape_google(query, coords)
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if gbp_data:
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print(f" [OK] Google: {gbp_data['name']} ({gbp_data['rating']} ★, {gbp_data['reviews']} reviews)")
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print(f" Hours: {gbp_data.get('hours', {})}")
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# Step 3: Scrape Apple Maps
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print("\nScraping Apple Maps...")
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apple_data = await scrape_apple(query)
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if apple_data:
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print(f" [OK] Apple: {apple_data.get('name')} ({apple_data.get('rating')} ★, {apple_data.get('reviews')} reviews)")
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if apple_data.get('hours'):
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print(f" Hours: {apple_data.get('hours')}")
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else:
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print(" [FAIL] Apple Maps returned no data")
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# Step 3b: Scrape Bing Places (via web search)
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print("\nScraping Bing Places...")
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await asyncio.sleep(5) # ponytail: rate limit, separate from Apple Maps browser launch
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bing_data = await scrape_bing(query)
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if bing_data:
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print(f" [OK] Bing: {bing_data.get('name')} ({bing_data.get('rating')} ★, {bing_data.get('reviews')} reviews)")
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if bing_data.get('hours'):
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print(f" Hours: {bing_data.get('hours')}")
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else:
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print(" [FAIL] Bing returned no data")
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# Step 4: Fetch website
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print("\nFetching website...")
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website_url = gbp_data.get("website") if gbp_data else None
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if not website_url and apple_data:
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website_url = apple_data.get("website")
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website_data = fetch_website_data(website_url)
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if website_data:
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print(f" [OK] Website: {website_data.get('source_url')}")
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else:
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print(" [SKIP] No website URL found")
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# Step 5: Merge and validate
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print("\nMerging sources...")
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contract = merge_and_validate(gbp_data=gbp_data, apple_data=apple_data, website_data=website_data, bing_data=bing_data)
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# Step 6: Save
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safe_name = re.sub(r"[^\w\s-]", "", business).strip().replace(" ", "_").lower()
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date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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filename = f"{safe_name}_multi_surface_{date_str}.json"
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filepath = os.path.join(BASE_DIR, filename)
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with open(filepath, "w") as f:
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json.dump(contract, f, indent=2, ensure_ascii=False)
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print(f"\nSaved: {filepath}")
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print(f"Primary source: {contract['primary_source']}")
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# Print verification summary
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if contract["audit"]["verification"]:
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print("\n⚠️ Mismatches detected:")
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for key, val in contract["audit"]["verification"].items():
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print(f" {key}: {json.dumps(val)}")
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if __name__ == "__main__":
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asyncio.run(main())
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