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import csv
import json
from datetime import datetime
from jobspy import scrape_jobs
def dowork():
jobs = scrape_jobs(
site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor", "google"],
search_term="build release engineer",
google_search_term="build and release engineer jobs near durham, nc",
location="durham, nc",
results_wanted=50,
hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
country_indeed='USA', # only needed for indeed / glassdoor
)
print(f"scraper seearch completed. found {len(jobs)} jobs.")
print(jobs.head())
# Convert DataFrame to JSON string
json_string = jobs.to_json(orient='records')
print("json",json_string)
# jobs.to_csv("shinob-jobs-report.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False, sep='|' )
return json_string
def writeFile( variable_value):
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"shinobi-jobs-report.json"
with open(filename, "w") as f:
f.write(str(variable_value))
def read():
filename = "shinobi-jobs-report.json"
try:
with open(filename, "r") as f:
return f.read()
except FileNotFoundError:
print(f"Error: File '{filename}' not found.")
return None
#thing = dowork()
#print("thing: ",thing)
#writeFile(thing)