Pricing

Pay per usage

Go to Store

⚡️Rapid Linkedin Jobs Scraper (No Cookies) | Free Jobs Scraper

Try for free

Developed by

Umesh Patidar

Boost your job scraping with Rapid LinkedIn Scraper without account cookies! Effortlessly extract job listings, company details, and full job info in minutes. Automate job scraping with ease and stay ahead in your career. Fast, reliable, and efficient—get the data you need instantly. Try it now!

5.0 (3)

Pricing

Pay per usage

Total users

513

Monthly users

177

Runs succeeded

>99%

Issues response

2.9 days

Last modified

20 days ago

Jobs

Automation

Lead generation

Back to issues Create new issue

crawlung showing less results

Open

cockroach46921 opened this issue

crawlung showing less results , the file closed on 900+ links but now it closing on 250,300,150,5 or 7 links

Umesh Patidar (worldunboxer)

Hello, thanks for your feedback. Could you please clarify a few things so we can understand the issue better?

➡️ Are you seeing a consistent drop in the number of results across all runs?

➡️ Were there any changes in the input filters, like keywords, location, or job type, compared to previous runs that had over 900 results?

➡️ Could you also share the full run link (actor run URL) for one of the recent runs with fewer results?

This will help us investigate and assist you more effectively. I look forward to your response.

Add comment

Free Linkedin Job Scraper

forward_dinosaur/linkedin-job-scraper

A simple Linkedin Job Scraper to find new job opportunities.

forward_dinosaur

1.3K

1.0

Fast LinkedIn Jobs Scraper

aaas.ma/fast-linkedin-jobs-scraper

Simply input your desired job titles and location to get a customized list of job opportunities, job titles, job description, job salary, job type, job location complete with company details and links. Start exploring today!

aaas ma

166

5.0

🏆 LinkedIn Jobs Scraper (Free)

valig/linkedin-jobs-scraper

🚀 Automatically extract LinkedIn job listings based on your selected role and location, saving time and effort in your job search. 💼✨

Vali G

115

5.0

LinkedIn Job Details Scraper

piotrv1001/linkedin-job-details-scraper

The LinkedIn Job Details Scraper extracts job data from LinkedIn job detail URLs, capturing job titles, company names, logos, locations, posting times, descriptions, number of applicants, job criteria, similar jobs, and related job listings—ideal for recruitment insights and job market analysis.

Piotr Vassev

Advanced Linkedin Job Scraper (No Cookies) + company ⚡️

harvestapi/linkedin-job-search

The most Advanced LinkedIn Job Search Scraper. Extract full info + company data. No cookies or account required. Concurrency + fast response times make mass scraping fast ⚡

HarvestAPI

Linkedin Job Details (No Cookies)

apimaestro/linkedin-job-detail

Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.

API Maestro

497

5.0

📌 LinkedIn Jobs Scraper (Fast & reliable listings)

aliand.api/LinkedIn-Jobs-Scraper-v2

Scrape LinkedIn job listings effortlessly! This powerful Apify Actor extracts job listings, including job titles, companies, locations, job link and detailed job descriptions, while ensuring data accuracy and efficiency. 💼 Perfect for recruiters, job seekers, and data analysts. (and not ONLY)

Aliand APIs

5.0

Fast LinkedIn Job Scraper

ivanvs/fast-linkedin-job-scraper

Extract job listings from Linkedin. Scrape details job details like when it is posted, number of applicants, location and salary range. Download listings data in JSON, XML, Excel.

Ivan Vasiljević

5.0

LinkedIn Jobs Scraper - No Cookies

apimaestro/linkedin-jobs-scraper-api

Extract LinkedIn jobs data including description, titles, company info, application details... Features advanced filtering by location, experience, job type, and Easy Apply status.

API Maestro

1.1K

5.0

LinkedIn Job Scraper

ivanvs/linkedin-job-scraper

Extract job listings from Linkedin. Scrape details job details like when it is posted, number of applicants, location and salary range. Download listings data in JSON, XML, Excel.

Ivan Vasiljević

312

3.4