mirror of https://github.com/Bunsly/JobSpy
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main.py
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main.py
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from jobspy import scrape_jobs
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import pandas as pd
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jobs: pd.DataFrame = scrape_jobs(
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site_name=["indeed", "linkedin", "zip_recruiter"],
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search_term="software engineer",
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results_wanted=10,
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# country: only needed for indeed
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country='hong kong'
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)
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if jobs.empty:
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print("No jobs found.")
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else:
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#1 print
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pd.set_option('display.max_columns', None)
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pd.set_option('display.max_rows', None)
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pd.set_option('display.width', None)
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pd.set_option('display.max_colwidth', 50) # set to 0 to see full job url / desc
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print(jobs)
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#2 display in Jupyter Notebook
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#display(jobs)
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#3 output to .csv
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#jobs.to_csv('jobs.csv', index=False)
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text2.html
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text2.html
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