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 2026-09-25Alternatives on LinkedIn
The actors either side of #160 of 1,727, 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 | |
|---|---|---|---|---|---|---|---|---|---|
| 155 | B | EVT$30.00 /1k processing | 771,139 total | 99.1% | 5.0 | 15m | fresh | ||
| 156 | B | EVT$2.00 /1k result-item | 77957 total | 99.8% | 4.9 | 13m | fresh | ||
| 157 | B | RES$1.60 /1kfair price | 77320 total | 99.9% | 5.0 | 6m | fresh | ||
| 158 | C | RES$10.00 /1ksteep price | 75125 total | 86.2% | 5.0 | 44d | fresh | ||
| 159 | B | RES$4.00 /1kfair price | 75172 total | 100.0% | 5.0 | 4m | fresh | ||
| 160 | C | RES$1.00 /1kgood price | 751,053 total | 99.2% | 4.0 | 18m | stale | This | |
| 161 | C | RES$1.55 /1kgood price | 74547 total | 99.9% | 4.8 | 12m | aging | ||
| 162 | B | RES$5.00 /1khigh price | 73878 total | 99.9% | 5.0 | 7m | fresh | ||
| 163 | B | RES$5.50 /1khigh price | 73636 total | 100.0% | 5.0 | 7m | fresh | ||
| 164 | C | EVT$8.00 /1k processing | 72575 total | 100.0% | 5.0 | 15m | aging | ||
| 165 | C | EVT$8.00 /1k processing | 71414 total | 100.0% | — | 5m | aging |
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