mirror of https://github.com/Bunsly/JobSpy
docs: readme
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@ -11,7 +11,7 @@ work with us.*
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- Scrapes job postings from **LinkedIn**, **Indeed**, **Glassdoor**, & **ZipRecruiter** simultaneously
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- Aggregates the job postings in a Pandas DataFrame
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- Proxy support (HTTP/S, SOCKS)
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- Proxy support
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[Video Guide for JobSpy](https://www.youtube.com/watch?v=RuP1HrAZnxs&pp=ygUgam9icyBzY3JhcGVyIGJvdCBsaW5rZWRpbiBpbmRlZWQ%3D) -
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Updated for release v1.1.3
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@ -67,12 +67,13 @@ Optional
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├── location (int)
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├── distance (int): in miles
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├── job_type (enum): fulltime, parttime, internship, contract
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├── proxy (str): in format 'http://user:pass@host:port' or [https, socks]
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├── proxy (str): in format 'http://user:pass@host:port'
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├── is_remote (bool)
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├── linkedin_fetch_description (bool): fetches full description for LinkedIn (slower)
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├── results_wanted (int): number of job results to retrieve for each site specified in 'site_type'
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├── easy_apply (bool): filters for jobs that are hosted on the job board site
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├── linkedin_company_ids (list[int): searches for linkedin jobs with specific company ids
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├── description_format (enum): markdown, html (format type of the job descriptions)
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├── country_indeed (enum): filters the country on Indeed (see below for correct spelling)
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├── offset (num): starts the search from an offset (e.g. 25 will start the search from the 25th result)
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├── hours_old (int): filters jobs by the number of hours since the job was posted (all but LinkedIn rounds up to next day)
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