mirror of https://github.com/Bunsly/JobSpy
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
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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site_name=["indeed"],
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search_term="software engineer",
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location="Dallas, TX",
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results_wanted=20, # be wary the higher it is, the more likey you'll get blocked (rotating proxy should work tho)
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country_indeed='USA',
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# offset=25 # start jobs from an offset (use if search failed and want to continue)
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# proxy="http://34.120.172.140:8123",
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proxy="http://crawler-gost-proxy.jobright-internal.com:8080",
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)
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# formatting for pandas
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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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# 1: output to console
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print(jobs)
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# 2: output to .csv
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jobs.to_csv('./jobs.csv', index=False)
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print('outputted to jobs.csv')
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# 3: output to .xlsx
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# jobs.to_xlsx('jobs.xlsx', index=False)
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# 4: display in Jupyter Notebook (1. pip install jupyter 2. jupyter notebook)
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# display(jobs)
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