LinkedIn Jobs Scraper - Cheap & Fast
Pricing
$20.00/month + usage
LinkedIn Jobs Scraper - Cheap & Fast
Scrape 500+ LinkedIn jobs with company logos. No login required. Cheaper & faster than alternatives with 20+ data fields. Configurable performance, pay-per-result pricing.
Pricing
$20.00/month + usage
Rating
5.0
(2)
Developer

Dennis
Actor stats
0
Bookmarked
4
Total users
2
Monthly active users
12 days ago
Last modified
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β‘ LinkedIn Jobs Scraper - Cheap & Fast
Scrape 500+ LinkedIn jobs with company logos - NO login required!
π― Key Features
- π¨ Company Logos - Extract company logo URLs automatically
- π 500+ Jobs - Advanced pagination for unlimited results
- β‘ FAST - Optimized performance for quick results
- π NO LOGIN - Public job search, no cookies needed
- ποΈ Full Control - Configure concurrency, retries, delays
- π Privacy-First - No URLs or job IDs in logs
π° Pricing
$20/month - Simple subscription pricing
- β 31% cheaper than leading competitor ($29/month)
- β 3-day free trial
- β Unlimited jobs
- β All features included
- β Cancel anytime
π Why Choose Us?
| Feature | Our Scraper | Leading Competitor |
|---|---|---|
| Monthly Price | β $20 | β $29 |
| Company Logos | β YES π¨ | β Often missing |
| Max Results | β 500+ | β Limited |
| Speed | β Fast | β Slower |
| Login Required | β NO | β Often YES |
| Configurable | β 5 parameters | β Limited |
π Input Example
{"title": "Software Engineer","location": "United States","rows": 100,"publishedAt": "r604800","proxy": {"useApifyProxy": true}}
π Location Matching
We automatically resolve locations to the correct region:
- Input:
"Berlin"β Resolved to:"Berlin, Berlin, Germany"β - Input:
"London"β Resolved to:"London, England, United Kingdom"β - Input:
"Paris"β Resolved to:"Paris, Γle-de-France, France"β
π‘ Best Practice: For ambiguous location names (e.g., "Berlin" exists in Germany AND USA), use the full name:
- β
Recommended:
"Berlin, Germany"or"Berlin, Deutschland" - β οΈ Avoid:
"Berlin"(might match Berlin, Connecticut, USA)
If multiple matches are found, we automatically use the first (most relevant) result and show you which one was selected in the logs.
Performance Tuning Parameters
ποΈ Fast Mode (for quick results):
{"concurrency": 15,"pageDelay": 0,"retryDelay": 1,"maxRetries": 1}
βοΈ Balanced (recommended - lower costs):
{"concurrency": 10,"pageDelay": 1,"retryDelay": 2,"maxRetries": 3}
π‘οΈ Stable (maximum reliability):
{"concurrency": 5,"pageDelay": 2,"retryDelay": 5,"maxRetries": 5}
π‘ Tip: Use balanced settings to keep your platform costs low!
π Output Fields
Each job includes 20+ fields:
jobId,title,companyName,companyId,companyUrl- π¨
companyLogo- Company logo image URL location,jobUrl,publishedAt,postedTimesalary,description,descriptionHtmlcontractType,experienceLevel,workType,sectorapplicationsCount- Application count (approximate ranges)*applyUrl,applyType
Note about applicationsCount:
LinkedIn provides approximate ranges, not exact numbers:
20= "20 or fewer applications"50= "About 50 applications"200= "200 or more applications"
π How It Works
NO browser overhead! Optimized HTTP-based approach:
- Access LinkedIn's public job listings
- Parse structured data efficiently
- Fetch detailed job information in parallel
- Push results incrementally for real-time access
Result: Cheaper & faster than browser-based scrapers!
π‘ Cost Optimization Tips
Minimize your platform costs:
-
Use AUTO/DATACENTER proxies (not RESIDENTIAL)
- Residential proxies are 50x more expensive
- Our scraper works perfectly with cheaper proxies
-
Use balanced settings (default)
- Don't increase concurrency unnecessarily
- Lower retries if not needed
-
Filter your searches
- Use specific locations instead of "United States"
- Filter by
publishedAt(recent jobs only) - Filter by company if searching specific employers
Example cost savings:
- Residential proxies: ~$30/month
- Datacenter proxies: ~$2/month
- Save $28/month!
π License
Proprietary - Contact for commercial use.
π Try It Free
3-day free trial - No credit card required!
Test all features and see the quality before subscribing.
Built for performance, priced for everyone. π