lntb
🔥 LinkedIn Jobs Scraper – Multiple Titles & Locations in One!
LinkedInDoes it return everything
1 ↑ · 1 ↓ of 2single crawl captures all itemsfails to extract any data“Everything in one crawl, much easier.” — 5/5
What the reviews say
Good at being easy, affordable, and handling multi-title searches; it fails at reliably extracting data and needs more iteration capacity.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| Does it return everything | 1 praised · 1 complained | 2 | single crawl captures all itemsfails to extract any data“Everything in one crawl, much easier.” — 5/5 |
| Caps and ceilings | 0 praised · 1 complained | 1 | needs support for additional iterations“Easy to use - can run more iterations” — 5/5 |
| Setup and docs | 5 praised · 0 complained | 5 | easy to use, saves manual crawling“Great scraper I have been looking for one which does multiple job titles and locations - Saves crawling one by one” — 5/5 |
| What it supports | 3 praised · 0 complained | 3 | supports multiple job titles and locations“Great crawler, easy to use low cost and can do multiple job titles and locations.” — 5/5 |
| What it costs | 2 praised · 0 complained | 2 | low cost and affordable pricing“Easy and affordable. Thank you.” — 5/5 |
Caps and ceilings
0 ↑ · 1 ↓ of 1needs support for additional iterations“Easy to use - can run more iterations” — 5/5
Setup and docs
5 ↑ · 0 ↓ of 5easy to use, saves manual crawling“Great scraper I have been looking for one which does multiple job titles and locations - Saves crawling one by one” — 5/5
What it supports
3 ↑ · 0 ↓ of 3supports multiple job titles and locations“Great crawler, easy to use low cost and can do multiple job titles and locations.” — 5/5
Every count is a review we read.
Quotes are one reviewer, unedited.Read all 7 →
History
30 readings since 2026-08-27Alternatives on LinkedIn
The actors either side of #101 of 1,383, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
Sort
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 96 | C | EVT$4.00 /1k profilefair price | 91507 total | 99.7% | — | 4m | aging | ||
| 97 | B | EVT$0.50 /1k profile-foundgood price | 89153 total | 99.8% | 5.0 | 41d | fresh | ||
| 98 | C | EVT$2.00 /1k result-itemgood price | 86861 total | 65.5% | 4.9 | 12m | fresh | ||
| 99 | B | RES$3.00 /1kfair price | 85417 total | 99.8% | 3.6 | 18m | fresh | ||
| 100 | B | EVT$2.00 /1k short-profilegood price | 84143 total | 97.6% | 5.0 | 38d | fresh | ||
| 101 | C | RES$1.00 /1kgood price | 84992 total | 97.4% | 4.0 | 17m | stale | This | |
| 102 | C | EVT$24.71 /1k company-data-scrapsteep price | 83876 total | 99.3% | 5.0 | 14m | stale | ||
| 103 | B | RES$1.50 /1kgood price | 82164 total | 98.1% | 5.0 | 7m | fresh | ||
| 104 | B | EVT$20.00 /1k per-resulthigh price | 811,824 total | 99.6% | 3.0 | 2.2y | fresh | ||
| 105 | B | RES$5.00 /1khigh price | 81845 total | 99.9% | 5.0 | 6m | fresh | ||
| 106 | B | RES$5.50 /1ksteep price | 79588 total | 99.9% | 5.0 | 6m | aging |
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