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Collect LinkedIn applicant counts for recruiting research
Collect available applicant text, parsed counts, posting dates and job titles from selected LinkedIn listings for recruiting research. Keep the original applicant wording when comparing records: phrases such as over 100 are not exact applicant totals, and missing values may default to zero.
LinkedIn Job Details Scraper β Descriptions & Datascrapingmonkey/linkedin-job-details-scraper
Input
Status
ID
URL
+35 fieldsTextNumberBooleanListObject
Input
πΌ LinkedIn job URLs or IDs(required):https://www.linkedin.com/jobs/view/4378357766/
Output fields
Input
Status
ID
URL
Title
Company / ID
Company / Name
Company / URL
Company / Logo
Location
Address / Street
Address / City
Address / Region
Address / Postal Code
Address / Country
Workplace Type
Description
Description Html
Posted At
Posted Time
Valid Through
Applicants Text
Applicants
Job Status
Apply URL
Seniority Level
Employment Type
Job Function
Industries
Qualifications
Skills
Benefits
Salary / Currency
Salary / Value
Salary / Min
Salary / Max
Salary / Unit
Criteria / Name
Criteria / Value
Sign up on Apify01
Create your Apify account to access the LinkedIn Job Details Scraper β Descriptions & Data.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
