Pricing

Pay per usage

Advanced LinkedIn Job Scraper

🚀 Advanced LinkedIn Job Scraper by advanced-linkedin-job-scraper extracts job listings & key details fast. 🔎 Perfect for lead gen, recruitment & market research—save hours with automated, accurate LinkedIn data collection. 📈

Pricing

Pay per usage

Rating

0.0

(0)

Developer

SimpleAPI

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

Categories

Automation

Lead generation

Jobs

🔍 Search queries

searchKeywords

Required

List one or more job titles or keywords to search on LinkedIn (e.g. software engineer, data scientist, product manager). Each entry runs as a separate search and the results are merged.

Type:array

📍 Locations Filter

locations

Optional

Locations to search in (e.g. California, New York, United Kingdom, Remote). Each entry runs as a separate search. Leave empty for worldwide.

Type:array

🔐 LinkedIn Session Cookie (li_at)

li_at

Required

Your LinkedIn li_at cookie value. Required to access full job details. To get it: log in to LinkedIn → DevTools → Application → Cookies → li_at. Stored encrypted.

Type:string

📦 Maximum number of jobs to scrape per each job title and location input

maxItems

Optional

Caps the number of jobs returned for every keyword × location combination. Set 0 for unlimited (capped internally at ~1000 to prevent runaway runs).

Type:integer

Minimum:0

Maximum:100000

Default:10

🏢 Company Filter

companyUrls

Optional

Filter jobs to specific employers. Accepts LinkedIn company URLs (https://www.linkedin.com/company/google) or plain names (Netflix). Leave empty to include all employers.

Type:array

🏠 Workplace Type

workplaceType

Optional

Filter by where the work is performed.

Type:string[]

Default:

[]

💼 Employment Type

employmentType

Optional

Filter by the type of employment offered.

Type:string[]

Default:

[]

🎯 Experience Level

experienceLevel

Optional

Filter jobs by required experience level.

Type:string[]

Default:

[]

💰 Salary Filter

salary

Optional

Filter by minimum annual base salary in USD.

Type:string[]

Default:

[]

🥇 Under 10 Applicants

under10Applicants

Optional

Only include jobs with fewer than 10 applicants — early-bird hiring.

Type:boolean

Default:false

✅ LinkedIn Easy Apply

easyApply

Optional

Only include jobs that support LinkedIn's one-click Easy Apply flow.

Type:boolean

Default:false

⏰ Posted Limit

postedLimit

Optional

Only return jobs posted within this time window.

Type:string

Default:

Options:

1h24hweekmonth

🏭 Industry IDs Filter

industryIds

Optional

LinkedIn industry IDs to filter by (e.g. 4 Software Development, 5 Computer Networking, 6 Internet, 96 IT Services). Leave empty for all industries.

Type:array

Default:

[]

🔃 Sort By

sortBy

Optional

Sort jobs by keyword relevance, or by most recent first.

Type:string

Default:date

Options:

relevancedate

🌐 LinkedIn Geo IDs

geoIds

Optional

Pre-resolved LinkedIn geo IDs (e.g. 103644278 USA, 101174742 Canada). When provided, overrides the Locations Filter above.

Type:array

Default:

[]

📄 Start Page

page

Optional

Page number to start from (each page = 25 jobs). Use 1 for first page.

Type:integer

Minimum:1

Maximum:100

Default:1

⏳ Delay Between Requests (seconds)

requestDelaySeconds

Optional

Base delay between job-detail requests. A small random jitter is added automatically to reduce blocking risk.

Type:integer

Minimum:0

Maximum:30

Default:1

🖥️ User Agent

userAgent

Optional

Override the User-Agent header. Leave empty to use the default Chrome on Windows UA.

Type:string

Default:Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

🛡️ Proxy Configuration

proxyConfiguration

Optional

Proxy settings. By default the scraper runs without a proxy. If LinkedIn rejects the request, it automatically falls back to a datacenter proxy, and then to a residential proxy (with up to 3 retries). Once a fallback occurs, the new proxy is reused for the rest of the run.

Type:object

Default:

{
  "useApifyProxy": false
}

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