The professional graphLinkedIn Data, Delivered
Public LinkedIn content and engagement metrics, normalised to the same schema as every other platform we cover and pushed into your stack. Nothing to build, nothing to maintain.
source specification
- Source
- linkedin.com
- Objects
- Company pages, Public posts, Job postings, Public profiles, Engagement metrics
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
- Scope
- Public content only
about the platform
What makes LinkedIn different
LinkedIn is the only social network where the graph is professional rather than personal, which makes its public surface structurally different from every other platform. Company pages, job postings, and public posts describe organisations rather than individuals — headcount direction, which functions a company is investing in, which markets it is opening, and how its executives are positioning it publicly. That is business intelligence that happens to be published as social content.
why teams track it
Why LinkedIn data is worth having
For B2B teams, LinkedIn is the highest-signal public data source that exists: hiring patterns lead revenue, executive posts lead announcements, and company page changes lead strategy shifts. Sales teams use it for account-level trigger events, competitive intelligence teams use job postings as a leading indicator of product direction, and recruiters use it to map talent markets that no other source describes.
Visit linkedin.compricing
Pay per profile delivered
Every LinkedIn lookup is billed in credits, per profile we actually return, at $0.06, down to $0.015 in volume a credit. Pick cached or live on each request. Anything we cannot deliver is refunded automatically.
Cached
1credit / profile
$0.06, down to $0.015 in volume per profile
Answered from the profiles we already hold, or from the enrichment index when we do not. Instant, and the cheapest way to fill a list.
- Served straight from the stored dataset when the profile is already there
- Falls back to the index for anything missing
- Best for enrichment, CRM backfill and bulk lists
Live
2credits / profile
$0.12, down to $0.03 in volume per profile
Scraped from the source at request time, so every field is as current as the profile itself.
- Fetched fresh on every request, never from a cache
- Every field as it reads on the source right now
- Best for change alerts and outreach triggers
- Invalid, missing and failed profiles cost nothing
- Interrupted requests are refunded in full, automatically
- Duplicates in a batch are billed once
- Up to 10 profiles per request
- Credit packs from $300, paid once through Stripe
- Cached vs live usage tracked in your dashboard
curl -X POST \ https://api.pandorlabs.com/v1/lookups/linkedin \ -H "Authorization: Bearer $PANDORLABS_KEY" \ -H "content-type: application/json" \ -d '{ "targets": ["https://www.linkedin.com/…"], "freshness": "cached" }'applications
What teams build on LinkedIn data
Hiring signals as a growth indicator
Job posting volume by function is one of the earliest public signals a company gives about where it is investing. A sudden run of enterprise sales roles reads differently from a run of research roles, and both precede any announcement.
Account-level trigger events
New leadership, a new office, a funding announcement, or a hiring surge each mark an account as newly in-market. Feeding those triggers into your CRM is the difference between outbound that lands and outbound that annoys.
Competitive product direction
What a competitor hires for describes what it is building, months before anything ships. Engineering role titles and required skills are a surprisingly literal roadmap.
Talent market mapping
Aggregate public profile and posting data describes where a skill set is concentrated, what it is being paid, and which companies are gaining or losing people in it.
Executive share-of-voice
Track how often your leadership and your competitors post, on which themes, and how much engagement each generates — the B2B equivalent of brand share-of-voice tracking.
ICP and firmographic enrichment
Company page attributes enrich an account list with industry, size, and geography, so segmentation runs on current data rather than whatever was true when the list was bought.
what you get back
Fields in the LinkedIn feed
Platform-specific detail on top of the unified social schema, so a dashboard built on one platform works on the next without a rewrite.
- Company page attributes — industry, size band, headquarters, specialties
- Job postings with title, function, seniority, and location
- Public post content with author, timestamp, and engagement envelope
- Reaction, comment, and repost counts per post
- Public profile fields where the member has made them visible
Public surfaces only
We collect what a logged-out visitor can see. No authentication is bypassed, no private content is touched, and no attempt is made to deanonymise anyone.
One schema across platforms
A post from any network arrives with the same field names, so adding a platform does not mean rewriting anything downstream.
Deletion propagates
When content is removed at source it drops out of subsequent deliveries, and retention windows on delivered data are configurable per engagement.
related sources
Tracked alongside LinkedIn
One platform is a partial view. These deliver on the same schema, so combining them is a configuration change rather than a project.
Reddit
Pinterest
Snapchatquestions
Frequently Asked Questions
Everything you need to know before you send us your first request.
What LinkedIn data do you collect, exactly?
Is collecting LinkedIn data legal?
Can you track a specific list of companies?
How fresh is the LinkedIn data?
How is LinkedIn data delivered?
What happens when linkedin.com changes?
How does pricing work for LinkedIn lookups?
Still have questions?
Talk to an engineerReady to Get Started?
Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.
