@@ -25,7 +25,7 @@ import csv
2525from jobspy import scrape_jobs
2626
2727jobs = scrape_jobs(
28- site_name = [" indeed" , " linkedin" , " zip_recruiter" , " glassdoor " , " google " , " bayt" , " naukri" ],
28+ site_name = [" indeed" , " linkedin" , " zip_recruiter" , " google " ], # "glassdoor ", "bayt", "naukri", "bdjobs"
2929 search_term = " software engineer" ,
3030 google_search_term = " software engineer jobs near San Francisco, CA since yesterday" ,
3131 location = " San Francisco, CA" ,
@@ -59,7 +59,7 @@ zip_recruiter Software Developer TEKsystems Phoenix
5959``` plaintext
6060Optional
6161├── site_name (list|str):
62- | linkedin, zip_recruiter, indeed, glassdoor, google, bayt
62+ | linkedin, zip_recruiter, indeed, glassdoor, google, bayt, bdjobs
6363| (default is all)
6464│
6565├── search_term (str)
@@ -86,6 +86,10 @@ Optional
8686│
8787├── easy_apply (bool):
8888| filters for jobs that are hosted on the job board site (LinkedIn easy apply filter no longer works)
89+ |
90+ ├── user_agent (str):
91+ | override the default user agent which may be outdated
92+ |
8993│
9094├── description_format (str):
9195| markdown, html (Format type of the job descriptions. Default is markdown.)
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