Pricing

from $0.40 / 1,000 job results

Try for free

Go to Apify Store

LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k)

Try for free

Scrape LinkedIn jobs by keyword, location & filters, or any LinkedIn search URL - no login or cookies. Get salary, seniority, applicant count, recruiter contact, and full descriptions in text, Markdown & HTML. Optional company details; beat the ~1,000 cap. Pay per result. MCP & AI-agent ready.

Pricing

from $0.40 / 1,000 job results

Rating

5.0

(2)

Developer

Harsh Maur

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Jobs

Developer tools

Automation

You can access the LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "keywords": "software engineer",
10    "location": "United States",
11    "datePosted": "",
12    "workplaceType": "",
13    "jobType": "",
14    "experienceLevel": "",
15    "sortBy": "",
16    "maxItems": 50,
17    "splitCountry": "us",
18    "mcpMode": "perPost",
19    "mcpMessage": """*{{title}}* — {{company}}
20{{location}}
21{{url}}""",
22    "mcpMaxItems": 50,
23}
24
25# Run the Actor and wait for it to finish
26run = client.actor("harshmaur/linkedin-jobs-scraper").call(run_input=run_input)
27
28# Fetch and print Actor results from the run's dataset (if there are any)
29print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
30for item in client.dataset(run["defaultDatasetId"]).iterate_items():
31    print(item)
32
33# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Jobs Scraper - Salary & Recruiter Data (No Login) API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) API in JavaScript

LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) API through CLI

LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) OpenAPI definition

LinkedIn Jobs Scraper - Salary, Recruiter & Company ($0.5/1k) API

LinkedIn Jobs Scraper — From $0.25/1k · No Cookies, No Login

memo23/linkedin-jobs-scraper

LinkedIn Jobs scraper — no login or cookies. Search by keyword, URL, or job IDs with expiry monitoring. Free title/employer filters, 1K-cap bypass, recruiter contacts, optional company enrichment. Salary, description, apply URL per job. From $0.25/1k. JSON or CSV.

Muhamed Didovic

LinkedIn Jobs Scraper

dataji/apify-linkdin-jobs

Scrape LinkedIn jobs without login or cookies. Get title, company, location, salary, full description, and company details. Search by keyword or paste a LinkedIn search URL, filter by title, company, or salary, and export to JSON, CSV, or Excel.

Dataji

LinkedIn Jobs Scraper

solidcode/linkedin-jobs-scraper

[💰 $0.95 / 1K] Extract LinkedIn job postings at scale — title, company, location, salary, description, seniority, employment type, applicant count, and recruiter details. Search by keyword and location with date, job-type, experience-level, and remote filters, or paste LinkedIn search URLs.

SolidCode

LinkedIn Jobs Scraper

sourabhbgp/linkedin-jobs-scraper

Scrape public LinkedIn jobs — title, company, salary, description, applicant count, seniority, employment type, industries. 9 filters: date, job type, experience, workplace, min salary, Easy Apply, company, sort, boolean keywords. No login or cookies. $0.50 per 1,000 results.

Sourabh Kumar

156

3.0

LinkedIn Job Scraper - No cookies required

harsh719/linkedin-job-postings

Scrape LinkedIn jobs without login. Get full descriptions, hiring urgency scores, applicant competition, salary, benefits, seniority & recruiter contacts. Try it today!

Harsh Shah

LinkedIn Jobs Scraper - No Login, Pay Per Job (MCP)

themineworks/linkedin-jobs-scraper

Scrape LinkedIn public job listings by keyword + location with no login or cookies. Get title, company, location, seniority, job type, posting date, applicant count & apply URL. First 25 jobs free, then pay per job. Use in Claude, ChatGPT & any MCP AI agent.

The Mine Works

LinkedIn Advanced Jobs + Recruiter Details Scraper

coregent/linkedin-advanced-jobs-recruiter-details-scraper

Scrape public LinkedIn job listings by keyword, location, or URL into clean, CSV-ready rows with hiring-signal fields and visible recruiter indicators - no login, cookies, or Apify residential proxy.

Delowar Munna

LinkedIn Jobs Scraper — Salary, Applicants & Company Data

foxlabs/linkedin-jobs-scraper

Scrape public LinkedIn jobs by keyword & location — no login. Title, company, location, full description, seniority, employment type, applicant count, PARSED salary, and optional company firmographic enrichment (employees, industry, HQ, domain). For recruiting, market research & sales intent.

Berkan Kaplan

⚡ Fastest LinkedIn Jobs Scraper

vero-api/linkedin-jobs-scraper

Scrape LinkedIn job listings by keyword and location, or paste a LinkedIn jobs search URL. Get titles, companies, salaries, full descriptions, seniority, employment type, and applicant counts as clean JSON, CSV, or Excel — no login, no API key, no coding.

Veronica

LinkedIn Jobs Scraper — No Login, by Keyword & Location

nexgendata/linkedin-jobs-scraper

Scrape public LinkedIn job listings without login or cookies. Search by keyword, location, and job type; get title, company, salary, seniority, posting date, applicant count, and apply links. Read hiring-intent signals for sales or source roles for recruiting. Export to JSON, CSV, or Excel.