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d7a5f99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 | """LinkedIn Data Fetching Module
Provides functions to fetch and enrich LinkedIn profile data using RapidAPI.
Includes caching to minimize API usage and respect rate limits.
Usage:
from linkedin_data import fetch_linkedin_profile, enrich_lead
profile = fetch_linkedin_profile("https://linkedin.com/in/username")
enriched = enrich_lead(lead_data)
"""
import os
import json
import time
import requests
from pathlib import Path
from typing import Dict, Optional, Any
class LinkedInDataFetcher:
"""Handles LinkedIn profile data fetching via RapidAPI"""
def __init__(self, api_key: Optional[str] = None, username: Optional[str] = None):
"""Initialize LinkedIn data fetcher
Args:
api_key: RapidAPI key (defaults to RAPIDAPI_KEY env var)
username: Current user's username for cache directory
"""
self.api_key = api_key or os.environ.get('RAPIDAPI_KEY', '')
self.username = username
self.base_url = "https://fresh-linkedin-profile-data.p.rapidapi.com"
self.headers = {
"x-rapidapi-key": self.api_key,
"x-rapidapi-host": "fresh-linkedin-profile-data.p.rapidapi.com"
}
# Set up cache directory for current user
if self.username:
self.cache_dir = Path(f"/data/users/{self.username}/linkedin_cache")
self.cache_dir.mkdir(parents=True, exist_ok=True)
else:
self.cache_dir = None
def _get_cache_path(self, linkedin_url: str) -> Optional[Path]:
"""Get cache file path for a LinkedIn URL"""
if not self.cache_dir:
return None
# Create a safe filename from the LinkedIn URL
safe_name = linkedin_url.replace('https://', '').replace('/', '_').replace(':', '_')
return self.cache_dir / f"{safe_name}.json"
def _load_from_cache(self, linkedin_url: str) -> Optional[Dict]:
"""Load profile data from cache if available and not expired"""
cache_path = self._get_cache_path(linkedin_url)
if not cache_path or not cache_path.exists():
return None
try:
with open(cache_path, 'r') as f:
cached_data = json.load(f)
# Check if cache is still valid (30 days)
cache_time = cached_data.get('cached_at', 0)
if time.time() - cache_time < (30 * 24 * 60 * 60): # 30 days in seconds
return cached_data.get('data')
except Exception as e:
print(f"Error loading cache: {e}")
return None
def _save_to_cache(self, linkedin_url: str, data: Dict) -> None:
"""Save profile data to cache"""
cache_path = self._get_cache_path(linkedin_url)
if not cache_path:
return
try:
cached_data = {
'cached_at': time.time(),
'url': linkedin_url,
'data': data
}
with open(cache_path, 'w') as f:
json.dump(cached_data, f, indent=2)
except Exception as e:
print(f"Error saving cache: {e}")
def fetch_profile(self, linkedin_url: str, use_cache: bool = True) -> Dict[str, Any]:
"""Fetch LinkedIn profile data
Args:
linkedin_url: Full LinkedIn profile URL
use_cache: Whether to use cached data if available
Returns:
Dictionary containing profile data or error information
"""
# Check cache first
if use_cache:
cached = self._load_from_cache(linkedin_url)
if cached:
return {
'success': True,
'data': cached,
'from_cache': True
}
# Check if API key is configured
if not self.api_key:
return {
'success': False,
'error': 'RapidAPI key not configured',
'message': 'Please add RAPIDAPI_KEY to Space Secrets'
}
# Fetch from API
try:
querystring = {"linkedin_url": linkedin_url}
response = requests.get(
f"{self.base_url}/get-linkedin-profile",
headers=self.headers,
params=querystring,
timeout=30
)
if response.status_code == 200:
data = response.json()
# Save to cache
if use_cache:
self._save_to_cache(linkedin_url, data)
return {
'success': True,
'data': data,
'from_cache': False
}
elif response.status_code == 429:
return {
'success': False,
'error': 'Rate limit exceeded',
'message': 'You have reached your API rate limit. Consider upgrading or waiting.'
}
else:
return {
'success': False,
'error': f'API error: {response.status_code}',
'message': response.text
}
except requests.exceptions.Timeout:
return {
'success': False,
'error': 'Request timeout',
'message': 'The API request timed out. Please try again.'
}
except Exception as e:
return {
'success': False,
'error': 'Fetch error',
'message': str(e)
}
def enrich_lead(self, lead_data: Dict) -> Dict:
"""Enrich lead data with LinkedIn profile information
Args:
lead_data: Dictionary containing lead information with 'linkedin_url' key
Returns:
Enriched lead data dictionary
"""
linkedin_url = lead_data.get('linkedin_url', '')
if not linkedin_url:
return lead_data
# Fetch LinkedIn profile
result = self.fetch_profile(linkedin_url)
if result['success']:
profile = result['data']
# Add LinkedIn data to lead
enriched = lead_data.copy()
enriched['linkedin_profile'] = {
'full_name': profile.get('full_name', ''),
'headline': profile.get('headline', ''),
'location': profile.get('location', ''),
'summary': profile.get('summary', ''),
'experiences': profile.get('experiences', []),
'education': profile.get('education', []),
'skills': profile.get('skills', []),
'from_cache': result.get('from_cache', False)
}
enriched['linkedin_enriched'] = True
enriched['linkedin_enriched_at'] = time.time()
else:
# Add error info
enriched = lead_data.copy()
enriched['linkedin_enriched'] = False
enriched['linkedin_error'] = result.get('error', 'Unknown error')
return enriched
def get_cache_stats(self) -> Dict:
"""Get cache statistics
Returns:
Dictionary with cache stats
"""
if not self.cache_dir or not self.cache_dir.exists():
return {'cached_profiles': 0}
cached_files = list(self.cache_dir.glob('*.json'))
return {
'cached_profiles': len(cached_files),
'cache_directory': str(self.cache_dir)
}
# Convenience functions for easy import
def fetch_linkedin_profile(linkedin_url: str, api_key: Optional[str] = None,
username: Optional[str] = None, use_cache: bool = True) -> Dict:
"""Fetch LinkedIn profile data (convenience function)
Args:
linkedin_url: Full LinkedIn profile URL
api_key: RapidAPI key (optional, uses env var if not provided)
username: Current user's username for caching
use_cache: Whether to use cached data
Returns:
Dictionary with profile data or error information
"""
fetcher = LinkedInDataFetcher(api_key=api_key, username=username)
return fetcher.fetch_profile(linkedin_url, use_cache=use_cache)
def enrich_lead(lead_data: Dict, api_key: Optional[str] = None,
username: Optional[str] = None) -> Dict:
"""Enrich lead data with LinkedIn information (convenience function)
Args:
lead_data: Lead dictionary with 'linkedin_url' key
api_key: RapidAPI key (optional)
username: Current user's username for caching
Returns:
Enriched lead data dictionary
"""
fetcher = LinkedInDataFetcher(api_key=api_key, username=username)
return fetcher.enrich_lead(lead_data)
def get_cache_stats(username: str) -> Dict:
"""Get LinkedIn cache statistics (convenience function)
Args:
username: Username to check cache for
Returns:
Dictionary with cache statistics
"""
fetcher = LinkedInDataFetcher(username=username)
return fetcher.get_cache_stats()
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