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Linkedin_SuccessfulJobScraper

Pricing

from $1.00 / 1,000 results

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Linkedin_SuccessfulJobScraper

Linkedin_SuccessfulJobScraper

🟢 $0.99/1000 results 🟢Scrape LinkedIn job postings by keyword search. Extracts job title, company, location, description, duties, requirements, posted date, and applicant count into a structured Job Listings table for an organized overview of the job market!

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Sss Stanley

Sss Stanley

Maintained by Community

Actor stats

1

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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LinkedIn Job Scraper

Scrape LinkedIn job postings by keyword search. Extracts job title, company, location, description, duties, requirements, posted date, and applicant count into a structured Job Listings table for an organized overview of the job market.

Features

  • Keyword-based search — Enter one or more keywords, each runs a separate LinkedIn search
  • Filters — Location, posted within, workplace type (on-site / remote / hybrid), experience level
  • Parallel extraction — Up to 20 concurrent job page fetches for fast results
  • Smart description splitting — Automatically separates job duties and requirements into dedicated columns
  • Ordered Excel/CSV export — Download jobs.xls or jobs.csv from the Key-Value Store with columns in the correct order

Output columns

ColumnDescription
No.Sequential row number
KeywordThe search keyword that found this job
CompanyHiring company name
DescriptionFull job description text
TitleJob title
DutiesJob responsibilities (extracted from description)
RequirementsQualifications and requirements (extracted from description)
LocationJob location
Job IDLinkedIn job posting ID
URLDirect link to the job posting
PostedWhen the job was posted (e.g. "2 days ago")
ApplicantsNumber of applicants or people who clicked apply

How to use

  1. Enter your search keywords (one per line or comma-separated)
  2. Set optional filters: location, posted within, workplace type, experience level
  3. Run the actor
  4. View results in the Job Listings table view under the Dataset tab for an organized layout
  5. Download jobs.xls or jobs.csv from Storage → Key-value store for correct column ordering

💡 Tip: Pair with AI for smarter filtering. After extraction, feed the results into ChatGPT, Claude, or any AI tool to filter jobs by your resume, skills, or specific criteria — e.g. "From these jobs, shortlist the ones that match a background in financial due diligence and require less than 5 years of experience."

Notes

ℹ️ This tool scrapes jobs from the public LinkedIn guest API, where available results may differ from a logged-in LinkedIn search. For best results, verify your keywords by searching in an incognito window: https://www.linkedin.com/jobs/search

ℹ️ Providing your li_at cookie gives access to more complete job data (posted date, applicant count, etc.) that may not appear on guest pages.

ℹ️ Proxy configuration uses residential proxies by default for reliable access to LinkedIn.