mirror of
https://github.com/Bunsly/JobSpy.git
synced 2026-03-07 13:04:32 -08:00
feat: Ability to query by time posted for linkedin, indeed, glassdoor, ziprecruiter (#103)
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@@ -59,6 +59,12 @@ class LinkedInScraper(Scraper):
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url_lock = Lock()
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page = scraper_input.offset // 25 + 25 if scraper_input.offset else 0
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seconds_old = (
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scraper_input.hours_old * 3600
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if scraper_input.hours_old
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else None
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)
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def job_type_code(job_type_enum):
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mapping = {
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JobType.FULL_TIME: "F",
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@@ -85,7 +91,8 @@ class LinkedInScraper(Scraper):
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"pageNum": 0,
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"start": page + scraper_input.offset,
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"f_AL": "true" if scraper_input.easy_apply else None,
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"f_C": ','.join(map(str, scraper_input.linkedin_company_ids)) if scraper_input.linkedin_company_ids else None
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"f_C": ','.join(map(str, scraper_input.linkedin_company_ids)) if scraper_input.linkedin_company_ids else None,
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"f_TPR": f"r{seconds_old}",
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}
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params = {k: v for k, v in params.items() if v is not None}
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@@ -101,7 +108,9 @@ class LinkedInScraper(Scraper):
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response.raise_for_status()
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except requests.HTTPError as e:
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raise LinkedInException(f"bad response status code: {e.response.status_code}")
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raise LinkedInException(
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f"bad response status code: {e.response.status_code}"
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)
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except ProxyError as e:
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raise LinkedInException("bad proxy")
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except Exception as e:
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@@ -145,11 +154,11 @@ class LinkedInScraper(Scraper):
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compensation = None
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if salary_tag:
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salary_text = salary_tag.get_text(separator=' ').strip()
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salary_values = [currency_parser(value) for value in salary_text.split('-')]
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salary_text = salary_tag.get_text(separator=" ").strip()
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salary_values = [currency_parser(value) for value in salary_text.split("-")]
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salary_min = salary_values[0]
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salary_max = salary_values[1]
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currency = salary_text[0] if salary_text[0] != '$' else 'USD'
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currency = salary_text[0] if salary_text[0] != "$" else "USD"
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compensation = Compensation(
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min_amount=int(salary_min),
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@@ -294,17 +303,17 @@ class LinkedInScraper(Scraper):
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@staticmethod
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def headers() -> dict:
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return {
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'authority': 'www.linkedin.com',
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'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
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'accept-language': 'en-US,en;q=0.9',
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'cache-control': 'max-age=0',
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'sec-ch-ua': '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
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"authority": "www.linkedin.com",
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"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
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"accept-language": "en-US,en;q=0.9",
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"cache-control": "max-age=0",
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"sec-ch-ua": '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
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# 'sec-ch-ua-mobile': '?0',
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# 'sec-ch-ua-platform': '"macOS"',
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# 'sec-fetch-dest': 'document',
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# 'sec-fetch-mode': 'navigate',
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# 'sec-fetch-site': 'none',
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# 'sec-fetch-user': '?1',
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'upgrade-insecure-requests': '1',
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'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
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"upgrade-insecure-requests": "1",
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"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
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}
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