Create rapidapi_linkedin.py

backend/agents/rapidapi_linkedin.py

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+import requests
+from .normalizer import normalize_job_data
+import os
+
+# --- THIS IS A SKELETON FILE ---
+# You need to replace placeholders with your actual RapidAPI details.
+
+# It's highly recommended to use environment variables or a secrets management system
+# for your API keys instead of hardcoding them.
+# For Hugging Face Spaces, use st.secrets["RAPIDAPI_KEY"]
+try:
+    import streamlit as st
+    RAPIDAPI_KEY = st.secrets.get("RAPIDAPI_KEY")
+except (ImportError, KeyError, FileNotFoundError):
+    RAPIDAPI_KEY = os.getenv("RAPIDAPI_KEY", "YOUR_RAPIDAPI_KEY_HERE") # Fallback for local testing
+
+RAPIDAPI_HOST = "linkedin-jobs-scraper-api.p.rapidapi.com" # Example host, replace with your actual API host
+
+def fetch_linkedin_jobs_stub(query="python developer", location="remote", limit=5):
+    """
+    Skeleton function to fetch jobs from a LinkedIn RapidAPI.
+    This is a placeholder and will not work without a valid API key and endpoint.
+    It currently returns a predefined list of mock jobs.
+    """
+    print("LinkedIn agent is a stub. Returning mock data.")
+    # This is mock data. In a real implementation, you would make an API call.
+    mock_linkedin_jobs = [
+        {
+            'title': 'Senior Python Engineer (Stub)',
+            'company_name': 'Innovate Inc.',
+            'location': 'Remote',
+            'description': 'Looking for a senior python developer with experience in Django and cloud services. This is a mock job from a stub function.',
+            'posted_at': '2025-01-15',
+            'job_url': 'https://www.linkedin.com/jobs'
+        },
+        {
+            'title': 'Frontend Developer - React (Stub)',
+            'company_name': 'Creative Solutions',
+            'location': 'Remote',
+            'description': 'Join our team to build beautiful and responsive user interfaces with React. This is a mock job from a stub function.',
+            'posted_at': '2025-01-14',
+            'job_url': 'https://www.linkedin.com/jobs'
+        }
+    ]
+
+    # In a real implementation, you would normalize the actual API response
+    return [normalize_job_data(job, "LinkedIn (Stub)") for job in mock_linkedin_jobs]
+
+
+def fetch_linkedin_jobs_real(query="python developer", location="remote", limit=10):
+    """
+    Real implementation example for fetching jobs from a LinkedIn RapidAPI.
+    NOTE: This code is illustrative and will NOT work without a valid subscription
+          to a LinkedIn jobs API on RapidAPI. The endpoint and parameters might differ.
+    """
+    if RAPIDAPI_KEY == "YOUR_RAPIDAPI_KEY_HERE":
+        print("RAPIDAPI_KEY not set for LinkedIn. Cannot fetch real data.")
+        return []
+
+    url = f"https://{RAPIDAPI_HOST}/jobs/search" # Example URL
+    querystring = {"keywords": query, "location": location, "limit": str(limit)}
+
+    headers = {
+        "x-rapidapi-key": RAPIDAPI_KEY,
+        "x-rapidapi-host": RAPIDAPI_HOST
+    }
+
+    try:
+        response = requests.get(url, headers=headers, params=querystring)
+        response.raise_for_status()
+        jobs = response.json().get('data', []) # Adjust based on actual API response structure
+        return [normalize_job_data(job, "LinkedIn") for job in jobs]
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching jobs from LinkedIn RapidAPI: {e}")
+        return []