Structured, current records at scale for the platforms that build on top of LinkedIn data — a managed extraction layer built for production use, not a self-serve scraper.
Powering contact and company databases with fresh, structured LinkedIn records at scale.
Target account data and firmographic signals for account-based marketing platforms.
Sourcing pipelines and candidate data for talent platforms and ATS integrations.
Company growth signals and headcount data for VC research and competitive intelligence tools.
Filling gaps in existing contact and company records with verified LinkedIn data.
Embedding LinkedIn-sourced data as a feature inside your own go-to-market product.
This isn't built for individual sales reps prospecting one list at a time — if that's what you need, our self-serve tools are a better fit.
Profiles and Companies can be delivered independently or joined — most platforms use both together for full context on a target account.
LinkedIn actively defends against scraping. We manage detection avoidance, rate limiting, and access continuity so your pipeline doesn't break.
Records arrive normalized and deduplicated — not raw HTML you have to parse yourself.
Data is kept current on a schedule that matches your product's freshness requirements, not a one-off snapshot.
Built to handle bulk requests across large target lists, not single-profile lookups.
Query on demand, get structured records back in your response.
Bulk delivery on a cadence that matches how often your product needs fresh data.
Get notified and receive updates as records change, rather than polling.
Powering contact discovery inside sales intelligence tools.
Firmographic and headcount signals for account scoring.
Candidate pipelines for talent and ATS platforms.
Company growth tracking for VC and market intelligence tools.
Filling data gaps in existing CRM and CDP records.
Industry and headcount data for market research.
We scope the fields, volume, and refresh cadence your product actually needs.
You get a real sample against your target list before committing to anything.
Connect via API, scheduled feed, or webhook — whichever fits your stack.
Move from pilot volume to production scale with the same pipeline.
We'll run a sample against real target accounts before you commit to anything.
Book a discovery call