Bastian Gruber
e8eb9d3fcf
- Scrapes job listings from Greenhouse, Lever, and Ashby platforms - Tracks 14 companies (1Password, DuckDuckGo, GitLab, etc.) - SQLite database for change detection - Filters by engineering job titles and location preferences - Generates static HTML dashboard with search/filter - Docker support for deployment to Debian server
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
from .base import BaseScraper, Job
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class AshbyScraper(BaseScraper):
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"""
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Scraper for companies using Ashby.
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Ashby provides a JSON API endpoint.
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Example: https://api.ashbyhq.com/posting-api/job-board/{company}
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"""
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def __init__(self, company_name: str, ashby_company: str, **kwargs):
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# Ashby API endpoint
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jobs_url = f"https://api.ashbyhq.com/posting-api/job-board/{ashby_company}"
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super().__init__(company_name, jobs_url, **kwargs)
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self.ashby_company = ashby_company
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def scrape(self) -> list[Job]:
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"""Scrape jobs from Ashby API."""
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data = self.fetch_json()
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jobs = []
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for job_data in data.get("jobs", []):
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job_id = job_data.get("id", "")
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title = job_data.get("title", "")
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job_url = job_data.get("jobUrl", "")
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# Location info
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location = job_data.get("location", "")
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department = job_data.get("department", "")
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# Employment type
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employment_type = job_data.get("employmentType", "")
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# Check for remote
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is_remote = job_data.get("isRemote", False)
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if is_remote:
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remote_type = "remote"
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else:
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remote_type = self.classify_remote(location)
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jobs.append(Job(
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external_id=job_id,
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title=title,
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url=job_url,
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location=location,
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department=department,
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remote_type=remote_type
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))
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return jobs
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