Extract LinkedIn Data
Company and job-market data from LinkedIn's public surfaces.
Tell AuraCrawl what you need from LinkedIn in plain language — "headcount and hiring-post velocity for these 80 companies," "all public job postings from this competitor, weekly." LinkedIn defends its data hard and litigates to keep it that way; we extract only what is publicly visible, and we bring the access engineering that sustained collection from this surface demands.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from LinkedIn in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"company": "Zerodha",
"linkedin_slug": "zerodha",
"industry": "Financial Services",
"company_size": "1,001-5,000 employees",
"followers": 512340,
"headquarters": "Bengaluru, Karnataka",
"recent_job_postings": 17,
"sample_role": {
"title": "Senior Backend Engineer",
"location": "Bengaluru",
"posted_at": "2026-08-12"
}
}What you can extract
- Company profiles: industry, size band, headquarters, follower counts
- Public job postings with role, location, and posting date
- Employee-count changes across scheduled runs
- Public posts and engagement from company pages
- Hiring velocity as a derived signal
- Role-mix breakdowns across functions and locations
PIPELINE LinkedIn's defensive stack is among the strongest on the web. Aura Strike maintains durable sessions through it; that sustained access is the engagement.
Request LinkedIn data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.