LinkedIn Pharma & Biotech Jobs Scraper

Scrape public LinkedIn pharma and biotech jobs without login. Export evidence-backed clinical research, drug discovery, regulatory, and bioinformatics demand. Built for life-sciences recruiters, vendors, investors, and workforce researchers.

Start with one buyer question

Which employers are hiring across clinical research, drug discovery, regulatory affairs, and bioinformatics?

Run the one-result starter Task. It inspects up to 25 public postings and returns at most one complete evidence-backed row. A successful starter result costs up to $0.020; an empty or unsupported result is 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 life-sciences recruiters, vendors, investors, and workforce 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 the classification itself saves work: every paid row already includes the public wording that supports the result. If you only need a large unfiltered list of job cards, start with LinkedIn Jobs Search Scraper. If you already have job IDs or URLs, use LinkedIn Job Details Scraper.

Example input

{
  "queries": [
    "biotech scientist"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "",
  "maxResultsPerQuery": 25
}

Current LinkedIn search behavior

No LinkedIn account or cookies are required. The Actor uses public guest job-search and job-detail pages. LinkedIn controls search ranking and may interpret query wording, so treat the query and location as discovery inputs rather than guaranteed strict filters. Neuton writes a paid row only after the returned posting contains direct evidence for this Actor's classification.

For recurring research, prefer a scheduled Task with 25-50 inspected jobs per query/location pair. Smaller frequent runs are easier to audit and usually produce fresher evidence than occasional deep searches.

First run checklist

1. Keep the default 25-job inspection limit and one query/location pair.
2. Open the Dataset and verify classification, evidenceField, evidenceText, and jobUrl on each result.
3. Open the RUN_SUMMARY key-value record to compare jobs scanned, rows saved, billable rows, successful search requests, and failed requests.
4. Expand the limit or save the input as a scheduled 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 records completed, partial, catastrophicSearchFailure, rowsScanned, rowsSaved, billableRows, searchRequestsSucceeded, and failed-request diagnostics outside the Dataset. diagnosticsAreBillable is always false.

Troubleshooting the first run

• completed=true with zero Dataset rows means the public search worked but no inspected posting contained this Actor's required evidence. Broaden the role or location; the empty result is free.
• partial=true means at least one search or detail request failed after other requests succeeded. Complete evidence-backed Dataset rows remain usable; failed requests and diagnostics are free.
• catastrophicSearchFailure=true means every public search request failed. The run fails after saving the free summary and writes zero billable rows. Retry later rather than increasing the result limit.
• A blank external application destination falls back to the canonical public jobUrl, so every paid row still has a usable source link.

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.

Hosted Apify MCP endpoint: https://mcp.apify.com/?tools=neuton/linkedin-pharma-biotech-jobs-intelligence

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: $20.00 per 1,000 complete evidence-backed results, or $2.00 for 100. The paid unit is a classified, source-backed result with its evidence and canonical job URL, not an unfiltered search card. Diagnostics, duplicates, incomplete fetches, unsupported classifications, and empty searches remain free.

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.