job-bot/extract.py
2025-05-30 11:12:35 -07:00

72 lines
2.3 KiB
Python

from jobspy import scrape_jobs
from datetime import datetime, date
import pymongo
import pandas as pd
import yaml
def load_search_config(config_path):
with open(config_path, 'r') as file:
return yaml.safe_load(file)
def process_jobs(search_params):
print(f"Scraping jobs with parameters: {search_params['name']}")
jobs = scrape_jobs(**search_params['params'])
return jobs
def date_to_datetime(d):
if isinstance(d, date) and not isinstance(d, datetime):
return datetime.combine(d, datetime.min.time())
return d
def main():
# Load configuration
config = load_search_config('/opt/airflow/dags/search_criteria.yaml')
jobs = pd.DataFrame()
# Process each search configuration
for search in config['searches']:
try:
_jobs = process_jobs(search)
if len(_jobs) > 0:
# Apply filters from search configuration if they exist
if 'filter' in search:
filter_field = search['filter']['field']
exclude_list = search['filter']['exclude']
_jobs = _jobs[~_jobs[filter_field].str.contains('|'.join(exclude_list), case=False, na=False)]
jobs = pd.concat([jobs, _jobs])
except Exception as e:
print(f"Error processing search '{search['name']}': {str(e)}")
continue
# Basic stats
print(f"Found {len(jobs)} jobs")
jobs['processed'] = False
# Connect to MongoDB
mongo_username = "root"
mongo_password = "passwd"
client = pymongo.MongoClient(f"mongodb://{mongo_username}:{mongo_password}@job-bot.localdomain:27017/")
db = client["jobs-etl"]
collection = db["incoming_jobs"]
# Insert into MongoDB
jobs = jobs.where(pd.notnull(jobs), None)
jobs_data = jobs.to_dict('records')
for item in jobs_data:
item['date_posted'] = date_to_datetime(item['date_posted'])
for job in jobs_data:
result = collection.update_one(
{"id": job["id"]}, # filter by id field
{"$set": job}, # update/insert the full job document
upsert=True # create if doesn't exist, update if it does
)
print(f"Job {job['id']}: {'Updated' if result.modified_count > 0 else 'Inserted' if result.upserted_id else 'No change'}")
if __name__ == "__main__":
main()