
⚡️ Linkedin Jobs Scraper 🔥
Pricing
$20.00/month + usage

⚡️ Linkedin Jobs Scraper 🔥
LinkedIn Job Scraper is a powerful and reliable automation tool Designed to extract job listings directly from LinkedIn Jobs using advanced search logic and filters. It helps recruiters, job boards, analysts, and HR professionals gather high-quality job data at scale — with over 98% success rate
0.0 (0)
Pricing
$20.00/month + usage
0
Total users
3
Monthly users
3
Runs succeeded
>99%
Last modified
5 days ago
Job title
title
stringRequired
The name of the job (e.g. Web developer).
Default value of this property is ""
Job location
location
stringRequired
The location of the job (e.g. Paris, New York).
Default value of this property is "United States"
Company name
companyName
stringOptional
The name(s) of the company(ies) (e.g. Google, NASA). Comma-separated if multiple.
Default value of this property is ""
Company id
companyId
stringOptional
The ID(s) of the company(ies) (e.g. Facebook: 76987811, Uber: 1815218). Provide only the id numbers, comma-separated if multiple.
Default value of this property is ""
Published at
publishedAt
EnumOptional
Select work type to display
Value options:
"r2592000": string"r604800": string"r86400": string
Default value of this property is ""
Total rows
rows
integerRequired
Maximum number of job results to extract (e.g. 100)
Default value of this property is 50
Maximum requests
maxRequests
integerOptional
Maximum number of HTTP requests to make for pagination (each request gets ~25 jobs)
Default value of this property is 10
Extract job descriptions
extractDescriptions
booleanOptional
Whether to extract full job descriptions (slower but more detailed)
Default value of this property is false
On-site/Remote
workType
EnumOptional
Select work type to display
Value options:
"1": string"2": string"3": string
Default value of this property is ""
Job type
contractType
EnumOptional
Select job type to display
Value options:
"F": string"P": string"C": string"T": string"I": string"V": string
Default value of this property is ""