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Recruiter sourcing playbook with LinkedIn data

Use cases·1 min read·Updated 2026-05-13·3 sections
On this page (3)
  1. 01Step 1 — Define the role with structured filters
  2. 02Step 2 — Scrape the candidate pool
  3. 03Step 3 — Enrich with email + outreach

LinkedIn Recruiter costs $13,200/year per seat. For agencies sourcing 5-20 candidates per week, that's a brutal margin tax. The alternative: scrape the same LinkedIn data with your own session cookie. Kavex does this at 3 credits ($0.003) per profile — a typical 200-candidate shortlist costs $0.60.

01

Step 1 — Define the role with structured filters

Title (exact match), seniority level, current company size, years in current role, location radius. Translate these into LinkedIn search params or use LinkedIn Lookalike with 5 example profiles.

Rate
3 credits / profile
LinkedIn Profiles
1 credit
$0.001
credits never expire
Per 1,000
$3.00
3,000 credits
RUN SIZECREDITSCOST
30 profiles90$0.09
100 profiles300$0.30
500 profiles1,500$1.50
1,000 profiles3,000$3.00
3 credits a profile · 1 credit = $0.001 · a run that finds fewer pays less
02

Step 2 — Scrape the candidate pool

/configure/linkedin-profiles with the URLs from your LinkedIn search. Toggle on past work, education, skills, languages, certifications. Kavex returns ~26 structured fields per profile, ready for your ATS.

03

Step 3 — Enrich with email + outreach

Email Finder against company domains + names. Email Verifier for deliverability. AI Personalizer for the first touch — referencing the candidate's specific past role or company makes a 4-5× difference in reply rate.

Written after running it
Last run
plumbers · London · Google Maps
Rows
30
Time
23s
Cost
€0.06
30 rows × 2 credits = 60 credits · 1 credit = $0.001

Every number on this page comes from that run, not from a price list.

Priced against
Kavex vs PhantombusterKavex vs Apollo
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Point it at something. See what comes back.Your first 500 Google Maps leads are on the house. No card needed.
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