Collect LinkedIn job listings effortlessly π Extract structured job data for recruitment, market research, and career analysis β fast, reliable, and scalable β‘
2
Users / 30d
37
Runs / 30d
β
Rating
Updated 2 Oct 2026
Apify builder
@webscrap18
Leaderboard position
out of 7,042
New Actors / 30d
#6814
Total Actors
#1501
Active users / 30d
#3936
Total users
#829
Runs / 30d
#1923
Total runs
#348
Portfolio stats
New Actors / 30d
0
Total Actors
7
Active users / 30d
2
+2 since first snapshot
Total users
347
Runs / 30d
37
-3 since first snapshot
Total runs
140.1K
Portfolio history
Daily publishing
0
Each bar represents one UTC day.
No new public Actors were detected during this 30-day window.
Actor portfolio
7 matching of 7 Actors Β· page 1 of 1
Collect LinkedIn job listings effortlessly π Extract structured job data for recruitment, market research, and career analysis β fast, reliable, and scalable β‘
2
Users / 30d
37
Runs / 30d
β
Rating
A comprehensive job πΌ scraping actor for Apify that collects job listings from multiple platforms including LinkedIn, Glassdoor, Google Jobs, Bayt, and Naukri.
0
Users / 30d
29
Runs / 30d
This actor allows you to send the Individual DM's to Multiple users.
0
Users / 30d
2
Runs / 30d
Scrape Instagram profiles like a pro πΈ Get π₯ followers, π bio, πΌοΈ profile pics, and β verification status in seconds. Fast. Reliable. Scalable.
0
Users / 30d
29
Runs / 30d
π Scrape Amazon Product Data with Ease Easily extract comprehensive product information from Amazon.com, including search results, product pages, and category listings. Get access to π° pricing details, β customer reviews & ratings, π¦ product availability, and π·οΈ key product specifications.
0
Users / 30d
28
Runs / 30d
Scrape Google News, Extract full content with Title, Article Text, Images and Structured data.
0
Users / 30d
30
Runs / 30d
A high-performance Apify Actor that inspects, classifies, and extracts structured data from PDF files. It intelligently detect whether a PDF is text-based or scanned and converts it into clean, formatted Markdown.
0
Users / 30d
29
Runs / 30d
5.0
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5.0
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