A comprehensive job 💼 scraping actor for Apify that collects job listings from multiple platforms including LinkedIn, Glassdoor, Google Jobs, Bayt, and Naukri.
11
Users / 90d
29
Runs / 30d
5.0
Rating
Updated 15 Sept 2026
Apify builder
@webscrap18
Leaderboard position
out of 6,248
New Actors / 90d
#6103
Total Actors
#1302
Active users / 90d
#1299
Total users
#773
Runs / 30d
#1709
Total runs
#324
Portfolio stats
New Actors / 90d
0
Total Actors
7
Active users / 90d
21
-5 since first snapshot
Total users
346
Runs / 30d
202
+20 since first snapshot
Total runs
140K
Portfolio history
Daily publishing
0
Each bar represents one UTC day.
No new public Actors were detected during this 90-day window.
Actor portfolio
7 matching of 7 Actors · page 1 of 1
A comprehensive job 💼 scraping actor for Apify that collects job listings from multiple platforms including LinkedIn, Glassdoor, Google Jobs, Bayt, and Naukri.
11
Users / 90d
29
Runs / 30d
5.0
Rating
This actor allows you to send the Individual DM's to Multiple users.
5
Users / 90d
2
Runs / 30d
Collect LinkedIn job listings effortlessly 🔍 Extract structured job data for recruitment, market research, and career analysis — fast, reliable, and scalable ⚡
4
Users / 90d
49
Runs / 30d
🛒 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 💰 pricing details, ⭐ customer reviews & ratings, 📦 product availability, and 🏷️ key product specifications.
1
Users / 90d
30
Runs / 30d
Scrape Instagram profiles like a pro 📸 Get 👥 followers, 📝 bio, 🖼️ profile pics, and ✅ verification status in seconds. Fast. Reliable. Scalable.
0
Users / 90d
30
Runs / 30d
Scrape Google News, Extract full content with Title, Article Text, Images and Structured data.
0
Users / 90d
32
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 / 90d
30
Runs / 30d
5.0
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