Salary parse (#163)

This commit is contained in:
Cullen Watson
2024-06-09 17:45:38 -05:00
committed by GitHub
parent ccb0c17660
commit d000a81eb3
6 changed files with 113 additions and 44 deletions

View File

@@ -5,7 +5,7 @@ from typing import Tuple
from concurrent.futures import ThreadPoolExecutor, as_completed
from .jobs import JobType, Location
from .scrapers.utils import logger, set_logger_level
from .scrapers.utils import logger, set_logger_level, extract_salary
from .scrapers.indeed import IndeedScraper
from .scrapers.ziprecruiter import ZipRecruiterScraper
from .scrapers.glassdoor import GlassdoorScraper
@@ -118,6 +118,21 @@ def scrape_jobs(
site_value, scraped_data = future.result()
site_to_jobs_dict[site_value] = scraped_data
def convert_to_annual(job_data: dict):
if job_data["interval"] == "hourly":
job_data["min_amount"] *= 2080
job_data["max_amount"] *= 2080
if job_data["interval"] == "monthly":
job_data["min_amount"] *= 12
job_data["max_amount"] *= 12
if job_data["interval"] == "weekly":
job_data["min_amount"] *= 52
job_data["max_amount"] *= 52
if job_data["interval"] == "daily":
job_data["min_amount"] *= 260
job_data["max_amount"] *= 260
job_data["interval"] = "yearly"
jobs_dfs: list[pd.DataFrame] = []
for site, job_response in site_to_jobs_dict.items():
@@ -150,11 +165,22 @@ def scrape_jobs(
job_data["min_amount"] = compensation_obj.get("min_amount")
job_data["max_amount"] = compensation_obj.get("max_amount")
job_data["currency"] = compensation_obj.get("currency", "USD")
if (
job_data["interval"]
and job_data["interval"] != "yearly"
and job_data["min_amount"]
and job_data["max_amount"]
):
convert_to_annual(job_data)
else:
job_data["interval"] = None
job_data["min_amount"] = None
job_data["max_amount"] = None
job_data["currency"] = None
if country_enum == Country.USA:
(
job_data["interval"],
job_data["min_amount"],
job_data["max_amount"],
job_data["currency"],
) = extract_salary(job_data["description"])
job_df = pd.DataFrame([job_data])
jobs_dfs.append(job_df)