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import requests
from .normalizer import normalize_job_data
import os
# --- THIS IS A SKELETON FILE ---
url = "https://upwork-jobs-api2.p.rapidapi.com/active-freelance-1h"
querystring = {"limit":"10"}
headers = {
"x-rapidapi-key": "bfac064b2fmsh8be26d692fcad76p168d6cjsncf4237253560",
"x-rapidapi-host": "upwork-jobs-api2.p.rapidapi.com"
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json())
def fetch_upwork_jobs_stub(query="web developer", limit=5):
"""
Skeleton function to fetch jobs from an Upwork RapidAPI.
Returns a predefined list of mock jobs.
"""
print("Upwork agent is a stub. Returning mock data.")
mock_upwork_jobs = [
{
'title': 'Build a responsive website (Stub)',
'snippet': 'Need a developer to create a 5-page marketing website. Must be proficient in HTML, CSS, and JavaScript. This is a mock job.',
'url': 'https://www.upwork.com/jobs',
'published_on': '2025-01-15T12:00:00Z',
'category2': 'Web Development',
'client': {'country': 'United States'}
}
]
return [normalize_job_data(job, "Upwork (Stub)") for job in mock_upwork_jobs]
def fetch_upwork_jobs_real(query="web developer", limit=10):
"""
Real implementation example for fetching jobs from an Upwork RapidAPI.
NOTE: This code is illustrative and depends on the specific API's structure.
"""
if RAPIDAPI_KEY == "YOUR_RAPIDAPI_KEY_HERE":
print("RAPIDAPI_KEY not set for Upwork. Cannot fetch real data.")
return []
url = f"https://{RAPIDAPI_HOST}/search/jobs"
params = {"q": query, "per_page": str(limit)}
headers = {
"x-rapidapi-key": RAPIDAPI_KEY,
"x-rapidapi-host": RAPIDAPI_HOST
}
try:
response = requests.get(url, headers=headers, params=params)
response.raise_for_status()
jobs = response.json().get('jobs', []) # Adjust based on actual API response
return [normalize_job_data(job, "Upwork") for job in jobs]
except requests.exceptions.RequestException as e:
print(f"Error fetching jobs from Upwork RapidAPI: {e}")
return []
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