mirror of https://github.com/Bunsly/JobSpy
docs: temp update
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@ -7,7 +7,7 @@
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- Scrapes job postings from **LinkedIn**, **Indeed** & **ZipRecruiter** simultaneously
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- Scrapes job postings from **LinkedIn**, **Indeed** & **ZipRecruiter** simultaneously
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- Aggregates the job postings in a Pandas DataFrame
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- Aggregates the job postings in a Pandas DataFrame
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[Video Guide for JobSpy](https://www.youtube.com/watch?v=-yS3mgI5H-4)
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[Video Guide for JobSpy](https://www.youtube.com/watch?v=-yS3mgI5H-4) (outdated, updating within couple hours)
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@ -27,9 +27,9 @@ from jobspy import scrape_jobs
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import pandas as pd
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import pandas as pd
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jobs: pd.DataFrame = scrape_jobs(
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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', 'linkedin', 'zip_recruiter'],
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search_term="software engineer",
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search_term='software engineer',
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location="Dallas, TX",
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location='Dallas, TX',
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results_wanted=10,
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results_wanted=10,
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country_indeed='USA' # only needed for indeed
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country_indeed='USA' # only needed for indeed
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@ -47,7 +47,6 @@ pd.set_option('display.max_colwidth', 50) # set to 0 to see full job url / desc
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#1 output
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#1 output
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print(jobs)
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print(jobs)
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print(errors)
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#2 display in Jupyter Notebook
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#2 display in Jupyter Notebook
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#display(jobs)
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#display(jobs)
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