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StrategyStack Multi-API Data Enrichment Module
Integrates multiple RapidAPI sources for comprehensive contact/lead enrichment:
- LinkedIn Data APIs (3 providers)
- Apollo.io
- Social Media (Twitter, Facebook)
- Mediafy API
- Google Search
- LetScrape (Local Business Data + Website Contacts)
Development version with fallback support and multi-provider redundancy.
"""
import os
import requests
import json
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Dict, Optional, List, Any
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class DataEnrichmentManager:
"""
Manages data enrichment across multiple API providers.
Implements fallback logic, caching, and rate limiting.
"""
def __init__(self, username: str):
self.username = username
self.cache_dir = Path(f"/data/users/{username}/enrichment_cache")
self.cache_dir.mkdir(parents=True, exist_ok=True)
# API Keys from environment
self.api_keys = {
'linkedin_fresh': os.getenv('RAPIDAPI_KEY_LINKEDIN_FRESH'),
'linkedin_rockapis': os.getenv('RAPIDAPI_KEY_LINKEDIN_ROCKAPIS'),
'linkedin_liscraper': os.getenv('RAPIDAPI_KEY_LISCRAPER'),
'linkedin_scraper': os.getenv('RAPIDAPI_KEY_LINKEDIN_SCRAPER'),
'apollo': os.getenv('RAPIDAPI_KEY_APOLLO'),
'mediafy': os.getenv('RAPIDAPI_KEY_MEDIAFY'),
'twitter': os.getenv('RAPIDAPI_KEY_TWITTER'),
'facebook': os.getenv('RAPIDAPI_KEY_FACEBOOK'),
'google': os.getenv('RAPIDAPI_KEY_GOOGLE'),
'letscrape': os.getenv('RAPIDAPI_KEY_LETSCRAPE')
}
# RapidAPI host configurations
self.api_hosts = {
'linkedin_fresh': 'fresh-linkedin-profile-data.p.rapidapi.com',
'linkedin_rockapis': 'linkedin-data-api.p.rapidapi.com',
'linkedin_liscraper': 'li-data-scraper.p.rapidapi.com',
'linkedin_scraper': 'linkedin-data-scraper.p.rapidapi.com',
'apollo': 'apollo-io-no-cookies-required.p.rapidapi.com',
'mediafy': 'mediafy-api.p.rapidapi.com',
'twitter': 'twitter241.p.rapidapi.com',
'facebook': 'facebook-scraper3.p.rapidapi.com',
'google': 'google-search74.p.rapidapi.com',
'letscrape_business': 'local-business-data.p.rapidapi.com',
'letscrape_contacts': 'website-contacts-scraper.p.rapidapi.com'
}
self.cache_ttl = timedelta(days=30)
def _make_request(self, api_name: str, url: str, params: Dict = None, headers: Dict = None) -> Optional[Dict]:
"""Make API request with error handling"""
try:
api_key = self.api_keys.get(api_name) or self.api_keys.get('letscrape')
if not api_key:
logger.warning(f"API key not found for {api_name}")
return None
# Determine host
host = self.api_hosts.get(api_name, '')
request_headers = {
'x-rapidapi-key': api_key,
'x-rapidapi-host': host
}
if headers:
request_headers.update(headers)
response = requests.get(url, headers=request_headers, params=params, timeout=30)
response.raise_for_status()
return response.json()
except Exception as e:
logger.error(f"API request failed for {api_name}: {str(e)}")
return None
def _get_cache_path(self, identifier: str, data_type: str) -> Path:
"""Get cache file path for identifier"""
safe_id = identifier.replace('/', '_').replace(':', '_')
return self.cache_dir / f"{data_type}_{safe_id}.json"
def _load_from_cache(self, identifier: str, data_type: str) -> Optional[Dict]:
"""Load data from cache if valid"""
cache_path = self._get_cache_path(identifier, data_type)
if not cache_path.exists():
return None
try:
with open(cache_path, 'r') as f:
cached = json.load(f)
cached_time = datetime.fromisoformat(cached.get('cached_at', '2020-01-01'))
if datetime.now() - cached_time < self.cache_ttl:
logger.info(f"Cache hit for {data_type}: {identifier}")
return cached.get('data')
except Exception as e:
logger.error(f"Cache read error: {str(e)}")
return None
def _save_to_cache(self, identifier: str, data_type: str, data: Dict):
"""Save data to cache"""
cache_path = self._get_cache_path(identifier, data_type)
try:
cache_data = {
'cached_at': datetime.now().isoformat(),
'identifier': identifier,
'data': data
}
with open(cache_path, 'w') as f:
json.dump(cache_data, f, indent=2)
logger.info(f"Cached {data_type}: {identifier}")
except Exception as e:
logger.error(f"Cache write error: {str(e)}")
# LinkedIn Enrichment Methods
def enrich_linkedin_profile(self, linkedin_url: str) -> Optional[Dict]:
"""Enrich LinkedIn profile with fallback across multiple providers"""
cached = self._load_from_cache(linkedin_url, 'linkedin')
if cached:
return cached
providers = ['linkedin_fresh', 'linkedin_rockapis', 'linkedin_liscraper', 'linkedin_scraper']
for provider in providers:
try:
if provider == 'linkedin_fresh':
url = 'https://fresh-linkedin-profile-data.p.rapidapi.com/enrich-lead'
params = {'linkedin_url': linkedin_url}
elif provider == 'linkedin_rockapis':
url = 'https://linkedin-data-api.p.rapidapi.com/get-profile-data-by-url'
params = {'url': linkedin_url}
elif provider == 'linkedin_liscraper':
url = 'https://li-data-scraper.p.rapidapi.com/get-profile-data-by-url'
params = {'url': linkedin_url}
else:
url = 'https://linkedin-data-scraper.p.rapidapi.com/person'
params = {'url': linkedin_url}
data = self._make_request(provider, url, params)
if data:
self._save_to_cache(linkedin_url, 'linkedin', data)
logger.info(f"LinkedIn enrichment successful via {provider}")
return data
except Exception as e:
logger.warning(f"Provider {provider} failed: {str(e)}")
continue
return None
def enrich_company(self, domain: str) -> Optional[Dict]:
"""Enrich company data by domain"""
cached = self._load_from_cache(domain, 'company')
if cached:
return cached
url = 'https://linkedin-data-api.p.rapidapi.com/get-company-by-domain'
params = {'domain': domain}
data = self._make_request('linkedin_rockapis', url, params)
if data:
self._save_to_cache(domain, 'company', data)
return data
# Apollo.io Enrichment
def enrich_with_apollo(self, email: str = None, domain: str = None) -> Optional[Dict]:
"""Enrich contact using Apollo.io API"""
cache_key = email or domain
cached = self._load_from_cache(cache_key, 'apollo')
if cached:
return cached
url = 'https://apollo-io-no-cookies-required.p.rapidapi.com/enrich'
params = {}
if email:
params['email'] = email
if domain:
params['domain'] = domain
data = self._make_request('apollo', url, params)
if data:
self._save_to_cache(cache_key, 'apollo', data)
return data
# Social Media Enrichment
def enrich_twitter_profile(self, username: str) -> Optional[Dict]:
"""Enrich Twitter profile data"""
cached = self._load_from_cache(username, 'twitter')
if cached:
return cached
url = 'https://twitter241.p.rapidapi.com/user'
params = {'username': username}
data = self._make_request('twitter', url, params)
if data:
self._save_to_cache(username, 'twitter', data)
return data
def enrich_facebook_profile(self, profile_id: str) -> Optional[Dict]:
"""Enrich Facebook profile data"""
cached = self._load_from_cache(profile_id, 'facebook')
if cached:
return cached
url = 'https://facebook-scraper3.p.rapidapi.com/profile'
params = {'profile_id': profile_id}
data = self._make_request('facebook', url, params)
if data:
self._save_to_cache(profile_id, 'facebook', data)
return data
# Mediafy API
def enrich_with_mediafy(self, query: str) -> Optional[Dict]:
"""Enrich with Mediafy media/social data"""
cached = self._load_from_cache(query, 'mediafy')
if cached:
return cached
url = 'https://mediafy-api.p.rapidapi.com/search'
params = {'query': query}
data = self._make_request('mediafy', url, params)
if data:
self._save_to_cache(query, 'mediafy', data)
return data
# Google Search
def search_google(self, query: str, num_results: int = 10) -> Optional[Dict]:
"""Perform Google search for contact information"""
cached = self._load_from_cache(query, 'google_search')
if cached:
return cached
url = 'https://google-search74.p.rapidapi.com/'
params = {'query': query, 'limit': str(num_results)}
data = self._make_request('google', url, params)
if data:
self._save_to_cache(query, 'google_search', data)
return data
# LetScrape APIs - Local Business & Website Contacts
def scrape_local_business(self, query: str, location: str = None, limit: int = 20) -> Optional[Dict]:
"""
Scrape local business data from Google Maps.
Returns business information including address, phone, email, ratings, reviews.
"""
cache_key = f"{query}_{location or 'any'}"
cached = self._load_from_cache(cache_key, 'local_business')
if cached:
return cached
url = 'https://local-business-data.p.rapidapi.com/search'
params = {'query': query, 'limit': limit}
if location:
params['subtypes'] = location
data = self._make_request('letscrape_business', url, params)
if data:
self._save_to_cache(cache_key, 'local_business', data)
logger.info(f"Local business data retrieved for: {query}")
return data
def scrape_website_contacts(self, domain: str) -> Optional[Dict]:
"""
Scrape and extract email addresses, phone numbers, and social profile links from a website.
Supports Facebook, Instagram, TikTok, LinkedIn, Twitter, YouTube, Pinterest, Snapchat, GitHub.
"""
cached = self._load_from_cache(domain, 'website_contacts')
if cached:
return cached
url = 'https://website-contacts-scraper.p.rapidapi.com/scrape-contacts'
params = {'query': domain}
data = self._make_request('letscrape_contacts', url, params)
if data:
self._save_to_cache(domain, 'website_contacts', data)
logger.info(f"Website contacts scraped for: {domain}")
return data
# Comprehensive Enrichment
def enrich_contact_full(self, contact_data: Dict) -> Dict:
"""
Perform comprehensive enrichment using all available data sources.
Input contact_data can include: email, linkedin_url, twitter, facebook, domain, name, company
"""
enriched = {'original': contact_data, 'enrichments': {}, 'sources': []}
# LinkedIn enrichment
if contact_data.get('linkedin_url'):
linkedin_data = self.enrich_linkedin_profile(contact_data['linkedin_url'])
if linkedin_data:
enriched['enrichments']['linkedin'] = linkedin_data
enriched['sources'].append('linkedin')
# Apollo enrichment
if contact_data.get('email') or contact_data.get('domain'):
apollo_data = self.enrich_with_apollo(
email=contact_data.get('email'),
domain=contact_data.get('domain')
)
if apollo_data:
enriched['enrichments']['apollo'] = apollo_data
enriched['sources'].append('apollo')
# Company enrichment
if contact_data.get('domain'):
company_data = self.enrich_company(contact_data['domain'])
if company_data:
enriched['enrichments']['company'] = company_data
enriched['sources'].append('company')
# Website contacts scraping
if contact_data.get('domain'):
website_contacts = self.scrape_website_contacts(contact_data['domain'])
if website_contacts:
enriched['enrichments']['website_contacts'] = website_contacts
enriched['sources'].append('website_contacts')
# Local business data (if company name and location provided)
if contact_data.get('company') and contact_data.get('location'):
business_data = self.scrape_local_business(
query=contact_data['company'],
location=contact_data['location']
)
if business_data:
enriched['enrichments']['local_business'] = business_data
enriched['sources'].append('local_business')
# Twitter enrichment
if contact_data.get('twitter_username'):
twitter_data = self.enrich_twitter_profile(contact_data['twitter_username'])
if twitter_data:
enriched['enrichments']['twitter'] = twitter_data
enriched['sources'].append('twitter')
# Facebook enrichment
if contact_data.get('facebook_id'):
facebook_data = self.enrich_facebook_profile(contact_data['facebook_id'])
if facebook_data:
enriched['enrichments']['facebook'] = facebook_data
enriched['sources'].append('facebook')
# Google search for additional info
if contact_data.get('name'):
search_query = f"{contact_data['name']}"
if contact_data.get('company'):
search_query += f" {contact_data['company']}"
google_results = self.search_google(search_query, num_results=5)
if google_results:
enriched['enrichments']['google_search'] = google_results
enriched['sources'].append('google')
enriched['enriched_at'] = datetime.now().isoformat()
enriched['total_sources'] = len(enriched['sources'])
return enriched
def get_enrichment_stats(self) -> Dict:
"""Get cache statistics and API usage"""
stats = {
'cache_directory': str(self.cache_dir),
'cached_profiles': 0,
'cache_types': {},
'total_api_calls': 0,
'cache_hits': 0,
'cache_misses': 0,
'total_enrichments': 0,
'successful_enrichments': 0,
'failed_enrichments': 0
}
if self.cache_dir.exists():
cache_files = list(self.cache_dir.glob('*.json'))
stats['cached_profiles'] = len(cache_files)
for cache_file in cache_files:
cache_type = cache_file.stem.split('_')[0]
stats['cache_types'][cache_type] = stats['cache_types'].get(cache_type, 0) + 1
stats['configured_apis'] = [k for k, v in self.api_keys.items() if v]
stats['total_apis'] = len(stats['configured_apis'])
return stats
# Convenience functions
def create_enrichment_manager(username: str) -> DataEnrichmentManager:
"""Create a new enrichment manager instance"""
return DataEnrichmentManager(username)
def enrich_contact(username: str, contact_data: Dict) -> Dict:
"""Quick enrichment for a single contact"""
manager = DataEnrichmentManager(username)
return manager.enrich_contact_full(contact_data)
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