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Create linkedin_job_search.py
Browse files- tools/linkedin_job_search.py +52 -0
tools/linkedin_job_search.py
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from smolagents.tools import Tool
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import requests
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from typing import List, Dict
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class LinkedInJobSearchTool(Tool):
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name = "linkedin_job_search"
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description = "Searches for job postings on LinkedIn based on job title, location, and work mode (remote, hybrid, in-office)."
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inputs = {
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"position": {"type": "string", "description": "Job title (e.g., Data Scientist)"},
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"location": {"type": "string", "description": "City or country (e.g., Germany)"},
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"work_mode": {"type": "string", "description": "remote, hybrid, in-office"}
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}
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output_type = "array"
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def forward(self, position: str, location: str, work_mode: str) -> List[Dict]:
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"""
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Fetches job listings from LinkedIn using SerpAPI and returns structured JSON.
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"""
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SERPAPI_KEY = "YOUR-API-KEY" # Replace with actual key
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base_url = "https://serpapi.com/search"
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params = {
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"engine": "google_jobs",
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"q": f"{position} {work_mode} jobs",
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"location": location,
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"hl": "en",
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"api_key": SERPAPI_KEY
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}
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try:
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response = requests.get(base_url, params=params)
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response.raise_for_status()
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data = response.json()
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job_results = data.get("jobs_results", [])
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# ✅ Properly format job URLs
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return [
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{
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"Title": job["title"],
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"Company": job.get("company_name", "N/A"),
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"Location": job.get("location", "N/A"),
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"Posted": job.get("detected_extensions", {}).get("posted_at", "N/A"),
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"Link": f"https://www.linkedin.com/jobs/view/{job['job_id']}" if "job_id" in job else "N/A"
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}
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for job in job_results
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] if job_results else [{"Error": "No jobs found. Try different keywords."}]
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except requests.exceptions.RequestException as e:
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return [{"Error": f"Error fetching job listings: {str(e)}"}]
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