LinkedIn is the largest self-maintained professional dataset in the world, which is exactly why it's login-walled and defended against export. Outsoci searches public profile data by title, company, and location, then enriches each match against their company domain for a verified email — no browser extension, no risk to your own account. Use it to build B2B lists that a bought database simply can't match for accuracy.
Describe who you want — job title, niche, business type — plus an optional location.
Outsoci searches live and pulls matching profiles and their public contact details.
Emails are verified and deduplicated, then exported to a clean CSV in one click.
Name & headline
the person's current role, often with a value statement
Current company
name, and where available, size and industry
Location
city or region, for territory-based filtering
Profile URL
the canonical identifier used for deduplication
Past roles
used for seniority and background filtering
not shown on LinkedIn itself — enriched from name + company domain, then verified
Every field a LinkedIn run returns, with its type and an example value. Last verified July 2026.
| Field | Type | Example |
|---|---|---|
| full_name | string | Ines Okonjo |
| headline | string | Head of RevOps at Brightmoor Logistics |
| company | string | Brightmoor Logistics |
| company_domain | string | null | brightmoorlogistics.com |
| location | string | Manchester, UK |
| profile_url | url (dedup key) | https://linkedin.com/in/ines-okonjo |
| string | null (verified) | i.o•••@brightmoorlogistics.com | |
| email_confidence | enum: verified | catch_all | unverified | verified |
The CSV shape you export, shown with illustrative rows. Emails are partially masked here — your export contains the full, verified address.
| full_name | headline | company_domain | location | email_confidence | |
|---|---|---|---|---|---|
| Ines Okonjo | Head of RevOps | brightmoorlogistics.com | Manchester, UK | i.o•••@brightmoorlogistics.com | verified |
| Tobias Renner | VP Engineering | kestrelanalytics.io | Berlin, DE | t.r•••@kestrelanalytics.io | verified |
| Marisol Vega | Operations Manager | perenna-foods.com | Austin, TX | mve•••@perenna-foods.com | catch_all |
| Dan Whitcombe | Founder | — | Remote | null | unverified |
Volume ceiling. Roughly 1,000 profiles per title-and-company search. Expect to lose 10–25% of any segment at verification. Enrichment tracks company size directly: mid-market and enterprise domains with a first.last pattern clear 70–85%, two-person startups on personal Gmail addresses often clear nothing.
LinkedIn does not display email addresses on profiles outside your direct connections. Every real LinkedIn lead tool works the same way: scrape the public profile fields (name, title, company, location), then enrich — derive the likely email from the person's name and their company's domain, and verify it against the mail server before trusting it.
That enrichment step is what separates a usable lead from a list of names. Established companies with predictable patterns (first.last@company.com) enrich well; tiny startups on personal Gmail addresses are harder. Expect to lose roughly 10–25% of a segment at verification — job changes, catch-all domains, and pattern misses.
The safest architecture never automates your own logged-in LinkedIn session — that's what gets personal accounts restricted. Outsoci works from public profile pages instead, the same category of access underpinning the landmark hiQ v. LinkedIn case, which keeps your account entirely out of the loop.
One more honest caveat: company size affects enrichment quality directly. A 500-person company with a standard first.last@company.com pattern enriches at a high rate; a two-person startup on a personal Gmail address may not enrich at all. Factor that into how you size a campaign — a list of 200 mid-market managers will typically out-enrich a list of 200 solo founders, even though both are equally valid LinkedIn searches.
Building segmented outbound lists by title, seniority, and company size for a specific product fit.
Finding passive candidates by role and background who aren't actively browsing job boards.
Pulling every relevant contact at a named target-account list from each company's LinkedIn presence.
Standing up a fresh, verified prospect list per client engagement without manual profile-by-profile research.
Finding the right operating partner, angel, or BD contact at a target firm by title and company.
Can a LinkedIn scraper get emails directly from profiles?
No. LinkedIn doesn't display emails on profiles outside direct connections. Emails are enriched from the person's name and company domain, then verified — that step is the whole job.
Will this get my LinkedIn account restricted?
No — Outsoci works from public profile data and never automates your logged-in session. The account-ban risk applies to browser extensions that scrape while driving your own login, which this avoids entirely.
How is this different from Sales Navigator?
Sales Navigator finds and filters people brilliantly but blocks exporting them with emails — that would undercut LinkedIn's own data moat. A scraper fills that export-and-enrich gap; the two work best together.
Is scraping public LinkedIn data legal?
Scraping publicly visible profile data is broadly defensible — see hiQ v. LinkedIn — but processing personal data and sending cold email carry their own GDPR/CAN-SPAM obligations.
How accurate are enriched LinkedIn emails?
A derived email is a guess until verified. Outsoci runs every result through SMTP-level verification, and we recommend re-verifying any list older than a few weeks since people change jobs constantly.
Can I target people who recently changed jobs?
Yes — recent job changes are one of the highest-converting B2B signals, since new leaders typically have budget and a mandate to make changes.
Can I search by company instead of just title?
Yes — search by company name to pull every matching public profile at a specific target account, which is the core motion behind account-based outreach.
What email match rate should I expect?
It depends heavily on company size and email-pattern predictability — established companies with standard naming conventions enrich well; very small teams on personal email providers enrich less reliably.
Can I combine LinkedIn with Sales Navigator search criteria?
Yes — use Sales Navigator to validate your segment size and filters, then run the same criteria through Outsoci to export an enriched, verified list Sales Navigator itself won't produce.
How often should I re-run a LinkedIn search?
LinkedIn data changes faster than most sources because it tracks career moves — re-running a search or re-verifying a list every few weeks keeps it current.