Linkedin Jobs Scraper - PPR
Use this page to check what Linkedin Jobs Scraper - PPR by curious coder actually returns, how pricing works, and whether it is the right Apify actor before you start a run.
Actor pages combine Apify platform data with editorial review. We keep affiliate links separate from the ranking and update or remove pages when the actor changes. Read our methodology or send a correction to hello@tryapify.com.
TL;DR: Linkedin Jobs Scraper - PPR by curious coder is built for lead generation workflows. It has 11.7k users and runs on $0.0010/result.
What It Does
Scrape jobs from linkedin jobs search results along with company details. Get key information to find contact info
Pros & Cons
Pros
- ✓11K+ users trust this tool
- ✓Pay only for what you use
- ✓Extracts contact information
- ✓Job listing data extraction
Cons
- ✗Requires Apify account
- ✗Large jobs can get expensive
- ✗Rate limits may apply
Key Stats
- Users
- 11,674
- Total Runs
- 1,027,559
- Pricing
- $0.0010/result
- Rating
- View on Apify →
Quick Answers
Teams that need a ready-made lead generation actor and want to compare pricing, reviews, and actor activity before running it.
Test a small run first, export the sample output, then decide whether the pricing model works for your volume.
curious_coder/linkedin-jobs-scraper
$0.0010/result
Related Docs
Apify tutorial: sign up and run your first scraper in 5 minutes
Step-by-step Apify tutorial for beginners. Create an account, open the Console, run your first actor, and export clean data. No code required.
Read guide →Apify API: get your token and run actors from Python or JavaScript
How to use the Apify API: get your token, install the Python or JS client, start actor runs, and pull datasets into your app. Code examples included.
Read guide →Is Web Scraping Legal?
Is web scraping legal in 2026? Learn what courts have ruled, which data types are risky, how GDPR and CFAA apply, and practical steps to stay on the right side of the law.
Read guide →Common Questions
What is Linkedin Jobs Scraper - PPR?
Scrape jobs from linkedin jobs search results along with company details. Get key information to find contact info
How much does Linkedin Jobs Scraper - PPR cost?
Linkedin Jobs Scraper - PPR costs $0.0010/result on Apify, and the free tier lets you test it before upgrading.
Is Linkedin Jobs Scraper - PPR free?
Linkedin Jobs Scraper - PPR is not fully free, but Apify provides a free tier so you can test it before paying for usage.
How to use Linkedin Jobs Scraper - PPR?
Open Linkedin Jobs Scraper - PPR on Apify, configure the input for the data you want to scrape, run the actor, and export the results when the run completes.
Free tier available. No credit card needed.
We earn commission from qualifying purchases. This does not affect our ratings.
Related Tools
Google Maps Scraper
Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, and job title, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.
Instagram Profile Scraper
Scrape all Instagram profile info. Just add Instagram usernames, IDs or URLs and extract name, join date, number of followers, location, bio, website, related profiles, video&post count, latest posts. Export scraped data, schedule scraper via API, and integrate with other tools or AI workflows.
📩📍 Google Maps Email Extractor
Extract Google Maps contact details. Scrape websites of Google Maps places for contact details and get email addresses, website, location, address, zipcode, phone number, social media links. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
Contact Details Scraper
Free email extractor and lead scraper to extract and download emails, phone numbers, Facebook, Twitter, LinkedIn, Instagram, Threads, Snapchat, and Telegram profiles from any website. Extract contact information at scale from lists of URLs and download the data as Excel, CSV, JSON, HTML, and XML.