Pricing

from $0.60 / 1,000 results

Try for free

Go to Apify Store

LinkedIn Jobs Scraper – Keywords, Location & Filters

Try for free

Scrape LinkedIn jobs by keyword, job title, location, company, date, experience level, employment type, and workplace type. Extract job titles, companies, locations, salaries, posting dates, applicant counts, full descriptions, and LinkedIn job URLs without login or cookies.

Pricing

from $0.60 / 1,000 results

Rating

0.0

(0)

Developer

Hamza

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

LinkedIn Jobs Scraper – Keywords, Location & Filters API

Below, you can find a list of relevant HTTP API endpoints for calling the LinkedIn Jobs Scraper – Keywords, Location & Filters Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/actors/apt_marble~linkedin-jobs-scraper-by-keyword/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/actors/apt_marble~linkedin-jobs-scraper-by-keyword/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/actors/apt_marble~linkedin-jobs-scraper-by-keyword?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the LinkedIn Jobs Scraper – Keywords, Location & Filters API programmatically via the Apify API.

You can choose from:

LinkedIn Jobs Scraper – Keywords, Location & Filters API in Python

LinkedIn Jobs Scraper – Keywords, Location & Filters API in JavaScript

LinkedIn Jobs Scraper – Keywords, Location & Filters API through CLI

LinkedIn Jobs Scraper – Keywords, Location & Filters OpenAPI definition

You can start LinkedIn Jobs Scraper – Keywords, Location & Filters with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The LinkedIn Jobs Scraper – Keywords, Location & Filters is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the LinkedIn Jobs Scraper – Keywords, Location & Filters run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

LinkedIn Company Employees Scraper

apt_marble/linkedin-company-employees-scraper

Map the workforce of any LinkedIn company. Get a clean roster of names, titles, regions, and profile URLs — either through public Google discovery (no login) or via your LinkedIn session cookie for the complete current employee list.

Hamza

1.4K

5.0

(3)

💬 Instagram Comments Scraper (No Login)

louisdeconinck/instagram-comments-scraper

Scrape all comments from any Instagram post in seconds. No login required. Get text, likes, timestamps, and usernames — even from large posts. Fast, affordable, and easy to use. Ideal for lead gen, research, and trend spotting. Just paste the URL and go.

Louis Deconinck

4.4K

4.5

(11)

Profile Posts Scraper for LinkedIn [No Cookies]

apimaestro/linkedin-profile-posts

Scrape LinkedIn posts data for a given LinkedIn profile including post content, reactions, comments count, and media attachments

API Maestro

24K

4.8

(65)

LinkedIn Company Employees Scraper & New Hire Monitor

thirdwatch/linkedin-company-employees-scraper

Find public LinkedIn employee profiles by company, title, and location. Choose low-cost basic discovery or full public-profile enrichment, and monitor confirmed new employees without cookies or a LinkedIn login.

Thirdwatch

1.2K

5.0

(1)

Bulk Linkedin Email Finder⚡ $0.8/1K Emails, Super Cheap.

snipercoder/bulk-linkedin-email-finder

|Input: linkedIn| |Output: Name, Email, Title, Company, etc. In Bulk| Perfect for Email campaigns, Data Enrichment, Linkedin/Linkedin sales nav Leads. ✅Forget Instantly.ai, apollo.io, and hunter.io, they are all to break the Bank.

Sniper Coder

4.8K

4.8

(14)

LinkedIn Company Employees Scraper — B2B Prospect List Builder

automation-lab/linkedin-company-employees-scraper

Extract LinkedIn employee profiles from company pages — names, titles, locations, profile URLs, and company context. Build account-based B2B prospect lists, then enrich domains and verify emails with Website Contact Finder and Bulk Email MX/SMTP Verifier.

Automation Lab

1.6K

LinkedIn Jobs URL Scraper

apt_marble/linkedin-job-listings-scraper-by-url

Scrape detailed job listing data from LinkedIn using direct job URLs. Extract title, company, location, employment type, description, seniority level, skills, and more — fast and easy.

Hamza

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.

Gen First

191

Profile Search Scraper for LinkedIn + EMAIL (No Cookies)

apimaestro/linkedin-profile-search-scraper

Find and extract detailed LinkedIn profile data by name, location, and job title. Get professional information, contact details, current positions, and more. Perfect for recruitment, sales prospecting, and lead generation. Clean, structured data ready for your business needs.

API Maestro

3.1K

4.9

(4)

LinkedIn Jobs Intel

mfrostbutter/linkedin-jobs-scraper

Scrape LinkedIn job listings by keyword, location, work type, and date posted. No login required. Structured, harvestapi compatible records with full descriptions. MCP-ready for AI agents.