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import requests
import os
from dotenv import load_dotenv
from datetime import datetime
load_dotenv()
def get_job_listings(job_title, location="Worldwide"):
try:
client_id = os.environ.get('JOBSPIKR_CLIENT_ID')
client_auth_key = os.environ.get('JOBSPIKR_AUTH_KEY')
if not client_id or not client_auth_key:
raise ValueError("Client ID and Auth Key are required. Set them in environment variables or hardcode for testing.")
if not job_title.strip():
raise ValueError("Job title cannot be empty.")
api_url = "https://api.jobspikr.com/v2/data"
payload = {
"size": 50,
"format": "json",
"search_query_json": {
"query_string": {
"default_field": "job_title",
"query": f"(\"{job_title}\") AND (\"{location}\")"
}
}
}
headers = {
"Content-Type": "application/json",
"client_id": client_id,
"client_auth_key": client_auth_key
}
response = requests.post(api_url, json=payload, headers=headers)
response.raise_for_status()
data = response.json()
if data.get("status") != "success":
raise ValueError(f"API Error: {data.get('message', 'Unknown error')}")
job_data = data.get("job_data", [])
if not job_data:
print("No job listings found.")
return []
# Removing duplicates based on job title and company
unique_jobs = {f"{job.get('job_title', '').lower()}|{job.get('company_name', '').lower()}": job for job in job_data}
job_data = list(unique_jobs.values())
job_data.sort(key=lambda x: datetime.strptime(x.get('post_date', '2010-01-01'), '%Y-%m-%d'), reverse=True)
job_data = job_data[:8]
for job in job_data:
print(f"Job Title: {job.get('job_title', 'N/A')}")
print(f"Company: {job.get('company_name', 'N/A')}")
print(f"Location: {job.get('city', 'N/A')}, {job.get('country', 'N/A')}")
print(f"Posted on: {job.get('post_date', 'N/A')}")
print(f"URL: {job.get('url', 'N/A')}")
print(f"Apply URL: {job.get('apply_url', 'N/A')}")
print(f"Has Expired: {job.get('has_expired', False)}")
print(f"Remote: {job.get('is_remote', 'N/A')}")
print(f"Job Type: {job.get('job_type', 'N/A')}")
print(f"Inferred Skills: {', '.join(job.get('inferred_skills', [])) or 'N/A'}")
#print(f"Seniority Level: {job.get('inferred_seniority_level', 'N/A')}")
# Displaying offered salary if it exists
offered_salary = job.get('salary_offered')
if offered_salary:
print(f"Offered Salary: {offered_salary}")
print("\n")
return job_data
except requests.exceptions.RequestException as req_err:
print(f"Request Error: {req_err}")
return False
except Exception as e:
print(f"Error occurred: {e}")
return False
if __name__ == "__main__":
job_title = input("Enter the job title: ").strip()
location = input("Enter the location: ").strip()
get_job_listings(job_title, location)
# import requests
# import os
# from dotenv import load_dotenv
# from datetime import datetime
# load_dotenv()
# def get_job_listings(job_title, location="Worldwide"):
# try:
# # Fetch the API credentials from environment variables
# client_id = os.environ.get('JOBSPIKR_CLIENT_ID')
# client_auth_key = os.environ.get('JOBSPIKR_AUTH_KEY')
# if not client_id or not client_auth_key:
# raise ValueError("Client ID and Auth Key are required. Set them in environment variables or hardcode for testing.")
# # Validate inputs
# if not job_title.strip():
# raise ValueError("Job title cannot be empty.")
# # Construct API endpoint
# api_url = "https://api.jobspikr.com/v2/data"
# # Construct the POST request payload
# payload = {
# "size": 50,
# "format": "json",
# "search_query_json": {
# "query_string": {
# "default_field": "job_title",
# "query": f"(\"{job_title}\") AND (\"{location}\")"
# }
# }
# }
# # Add headers
# headers = {
# "Content-Type": "application/json",
# "client_id": client_id,
# "client_auth_key": client_auth_key
# }
# # Make the API request
# response = requests.post(api_url, json=payload, headers=headers)
# response.raise_for_status() # Raise an error for HTTP response codes 4xx/5xx
# # Parse the response
# data = response.json()
# if data.get("status") != "success":
# raise ValueError(f"API Error: {data.get('message', 'Unknown error')}")
# # Extract job data
# job_data = data.get("job_data", [])
# if not job_data:
# print("No job listings found.")
# return []
# # Filter jobs by location
# filtered_jobs = [
# job for job in job_data
# if location.lower() in (job.get('city', '').lower() or '') or
# location.lower() in (job.get('country', '').lower() or '')
# ]
# if not filtered_jobs:
# print(f"No job listings found for location: {location}.")
# return []
# # Remove duplicates based on job title and company
# unique_jobs = {
# f"{job.get('job_title', '').lower()}|{job.get('company_name', '').lower()}": job
# for job in filtered_jobs
# }
# filtered_jobs = list(unique_jobs.values())
# # Sort jobs by post date (newest to oldest)
# filtered_jobs.sort(
# key=lambda x: datetime.strptime(x.get('post_date', '2010-01-01'), '%Y-%m-%d'),
# reverse=True
# )
# filtered_jobs = filtered_jobs[:8]
# # Print job listings with all fields
# for job in filtered_jobs:
# print(f"Job Title: {job.get('job_title', 'N/A')}")
# print(f"Company: {job.get('company_name', 'N/A')}")
# print(f"Location: {job.get('city', 'N/A')}, {job.get('country', 'N/A')}")
# print(f"Posted on: {job.get('post_date', 'N/A')}")
# print(f"URL: {job.get('url', 'N/A')}")
# print(f"Apply URL: {job.get('apply_url', 'N/A')}")
# print(f"Has Expired: {job.get('has_expired', False)}") # Default to False
# print(f"Remote: {job.get('is_remote', 'N/A')}")
# print(f"Job Type: {job.get('job_type', 'N/A')}")
# print(f"Inferred Skills: {', '.join(job.get('inferred_skills', [])) or 'N/A'}")
# offered_salary = job.get('salary_offered') or job.get('offered_salary')
# if offered_salary:
# print(f"Offered Salary: {offered_salary}")
# print("\n")
# return filtered_jobs
# except requests.exceptions.RequestException as req_err:
# print(f"Request Error: {req_err}")
# return False
# except Exception as e:
# print(f"Error occurred: {e}")
# return False
# if __name__ == "__main__":
# # Prompt user for input
# job_title = input("Enter the job title: ").strip()
# location = input("Enter the location (leave blank for Worldwide): ").strip()
# # Call the function with user input
# if job_title:
# location = location if location else "Worldwide"
# get_job_listings(job_title, location)
# else:
# print("Job title is required.")
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