LinkedIn Jobs Scraper (No Cookie) | $1.20/1K Jobs | Fast API
Pricing
from $1.20 / 1,000 linkedin job listing results
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LinkedIn Jobs Scraper (No Cookie) | $1.20/1K Jobs | Fast API
LinkedIn Jobs Scraper without cookies or login ($1.20/1K): extract LinkedIn job postings by keyword and location with job ID, title, company, location, posted date & direct URL in real time.
Pricing
from $1.20 / 1,000 linkedin job listing results
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Developer
Kaito T
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2
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1
Monthly active users
7 hours ago
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LinkedIn Jobs Scraper (No Cookie)
Extract real-time LinkedIn job postings by keyword and location without LinkedIn cookies, login sessions, or proxies.
Features
- No Cookie Required: Zero risk to your personal LinkedIn account.
- Cross-Page Deduplication: Automatically deduplicates by
job_idand strictly honorsmaxItemsPerQuery. - Multi-Provider Failover: Powered by a 4-tier real-time API gateway for >99% uptime.
💰 Transparent Pay-Per-Result Pricing (Zero Proxy or Add-On Fees)
You only pay per delivered LinkedIn Job Listing Result — empty searches, deduplicated items, and failed lookups cost $0.00:
| Apify Plan Tier | Price per 1,000 Results | Proxy / Compute Add-Ons |
|---|---|---|
| Free / Starter | $1.50 / 1K | $0 (Included) |
| Bronze | $1.40 / 1K | $0 (Included) |
| Silver | $1.30 / 1K | $0 (Included) |
| Gold / Platinum / Diamond | $1.20 / 1K | $0 (Included) |
📥 Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
queries | array | ["software engineer"] | List of job titles, keywords, or skills to search on LinkedIn Jobs. |
location | string | United States | Geographic location filter (e.g. United States, Remote, London, Worldwide). |
maxItemsPerQuery | integer | 25 | Maximum number of deduplicated job listings to extract per query. |
Quick-Start JSON Input Example
{"queries": ["software engineer"],"location": "United States","maxItemsPerQuery": 25}
⚡ API, SDK & No-Code Workflow Integrations
- Direct REST API & SDKs: Run via
apify-clientin Python or Node.js / TypeScript and export clean JSON, CSV, Excel, or Parquet datasets. - No-Code Automation Ready: Plug directly into n8n, Make.com, Clay, Zapier, Google Sheets, or LangChain / LlamaIndex RAG pipelines with zero residential proxy configuration and only 256 MB RAM compute overhead.
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