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enh: google jobs (#214)
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14
README.md
14
README.md
@@ -9,7 +9,7 @@ work with us.*
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## Features
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- Scrapes job postings from **LinkedIn**, **Indeed**, **Glassdoor**, & **ZipRecruiter** simultaneously
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- Scrapes job postings from **LinkedIn**, **Indeed**, **Glassdoor**, **Google**, & **ZipRecruiter** simultaneously
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- Aggregates the job postings in a Pandas DataFrame
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- Proxies support
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@@ -30,9 +30,9 @@ import csv
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from jobspy import scrape_jobs
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jobs = scrape_jobs(
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site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor"],
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site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor", "google"],
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search_term="software engineer",
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location="Dallas, TX",
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location="San Francisco, CA",
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results_wanted=20,
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hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
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country_indeed='USA', # only needed for indeed / glassdoor
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@@ -80,9 +80,6 @@ Optional
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| in format ['user:pass@host:port', 'localhost']
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| each job board scraper will round robin through the proxies
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├── ca_cert (str)
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| path to CA Certificate file for proxies
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│
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├── is_remote (bool)
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│
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├── results_wanted (int):
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@@ -116,6 +113,9 @@ Optional
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├── enforce_annual_salary (bool):
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| converts wages to annual salary
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├── ca_cert (str)
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| path to CA Certificate file for proxies
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```
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```
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@@ -168,7 +168,7 @@ Indeed specific
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├── company_employees_label
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├── company_revenue_label
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├── company_description
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└── logo_photo_url
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└── company_logo
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```
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## Supported Countries for Job Searching
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