LinkedIn Entry-Level Jobs Intelligence

Find public LinkedIn entry-level, graduate, junior, and early-career jobs with evidence-backed classification. Built for graduate job platforms, bootcamps, early-career recruiters, and labor-market researchers.

Open the one-result junior-data Task to inspect an editable US search before running. The maximum Actor charge is $0.012 when one evidence-backed entry-level row is returned; rejected, duplicate, unavailable, and diagnostic rows are free.

What you get

• Public job ID, title, company, location, posting date, and canonical LinkedIn job URL
• Public description, criteria, compensation text, and apply URL when LinkedIn exposes them
• classification, evidenceField, and evidenceText on every returned row
• HTTP-only 256 MB runtime with bounded retries and safe limits
• JSON, CSV, Excel, API, webhook, Task, and MCP-ready output

Use cases

• Build focused recruiting and talent-research feeds for graduate job platforms, bootcamps, early-career recruiters, and labor-market researchers
• Monitor public demand by role and location without collecting private profiles
• Add evidence-backed LinkedIn job intelligence to sales, research, and AI-agent workflows

Choose this Actor when

Use this Actor when you need entry-level, graduate, or junior rows already backed by public evidence. For an unfiltered export use LinkedIn Jobs Search Scraper. For known job IDs or URLs use LinkedIn Job Details Scraper.

Example input

{
  "queries": [
    "entry level data analyst"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "",
  "maxResultsPerQuery": 25
}

First run checklist

1. Keep the default 25-job inspection limit and one query/location pair.
2. Verify classification, evidenceField, evidenceText, and jobUrl in the Dataset.
3. Check RUN_SUMMARY for jobs scanned, rows saved, billable rows, and failed requests.
4. Expand the limit or schedule the Task only after the evidence matches your workflow.

Evidence and billing

The Actor returns a row only when the public title, job criteria, location, compensation, or description directly supports the classification. It never guesses sponsorship, seniority, job type, or hiring intent. Diagnostics, incomplete fetches, duplicates, unsupported classifications, and empty results are never billed.

RUN_SUMMARY is a free diagnostic record outside the Dataset. It is never a billable result row.

Automation and AI agents

Save common searches as Apify Tasks, schedule recurring runs, send results to a webhook, or call this Actor from ChatGPT, Claude, the Neuton Actors MCP server, n8n, Make, Zapier, Clay, a CRM, or a data warehouse. Deduplicate on jobId between runs.

Explore the LinkedIn data family

• LinkedIn Jobs Search Scraper for broad discovery by role and location
• LinkedIn Job Details Scraper for complete records from job IDs or URLs
• LinkedIn Company Hiring Signals for evidence-backed company aggregates
• LinkedIn Remote Jobs Intelligence for verified remote opportunities
• LinkedIn Salary Jobs Intelligence for compensation-bearing postings

SEO keywords

LinkedIn jobs scraper, LinkedIn jobs API, LinkedIn recruiting data, LinkedIn hiring intelligence, evidence-backed job data, talent market research, recruiting automation, LinkedIn job monitoring, Apify LinkedIn Actor, AI recruiting agent.

Pricing

Launch PPE price: $12.00 per 1,000 complete evidence-backed results, or about $1.20 for 100. The paid unit is a classified source-backed result, not an unfiltered search card.

Responsible use

This Actor processes public job-posting information. Do not use it for spam, unlawful discrimination, automated applications, private-profile collection, access-control bypass, or excessive requests. Review LinkedIn's current terms and applicable employment, immigration, and privacy laws before production use. Sponsorship output records public wording and is not legal or immigration advice.