How it works
The search is only the starting point
A results page does not yet say who to contact. Separate collection, deduplication, qualification, and sales action.
LinkedIn data template
Turn a LinkedIn search into an actionable prospecting pipeline.
A raw LinkedIn search often mixes good accounts, off-target profiles, and duplicates. This template structures the export before scoring and CRM sync.
What the extraction should normalize
Recommended columns
The goal is not to contact every search result. Each row should explain why a profile deserves action.
Search
search_url, query, filters, collected_at.
Keep the URL so the segment can be replayed or checked.
Profile
profile_url, full_name, title, company, location.
Normalize titles before ICP scoring.
Decision
icp_score, score_reason, next_action, crm_owner.
Every below-threshold profile should have an exclusion reason.
Verified facts
What the tool should clarify before being used.
Use caseUseful when a team starts from Sales Navigator, a LinkedIn list, or a market segment to qualify.
Expected outputSearch URL, keywords, filters, collection date, and exact source.
Method proofKeep the URL so the segment can be replayed or checked.
Verification method
How to turn the template into an actionable step.
- 01 Search Keep the URL so the segment can be replayed or checked.
- 02 Profile Normalize titles before ICP scoring.
- 03 Decision Every below-threshold profile should have an exclusion reason.
How it works
Preserve proof of the segment
The query and filters explain why a list works or fails, especially when several teams enrich the same market.
Ask your preferred AI.
Internal linking
Pages to read next.
Features
LinkedIn post scraping for B2B prospecting
Use LinkedIn post interactions without losing context.
Features
LinkedIn intent signals with Yadulink
Detect prospects already showing interest on LinkedIn.
Integrations
Yadulink API and webhooks for LinkedIn
Expose LinkedIn signals inside your own system.