Data source
Collect LinkedIn Pages data. Deliver reports. Automate AI Insights.
Easily collect LinkedIn Pages data with OWOX Data Marts, store in your data warehouse, automate reporting across major BI Tools and AI Insights (the ones that matter) delivered straight to corporate messengers on a schedule.
The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
Available connectors7
S01 · Why teams pick OWOX
Why collect LinkedIn Pages data into your warehouse with OWOX?
Your LinkedIn Pages data shouldn’t be trapped in a platform you can’t analyze. OWOX collects it into your data warehouse on autopilot — no per-connector fees, no vendor lock-in. The entire platform is open-source on GitHub, so you can self-host it today and never worry about losing access to your own data pipelines.
Collect to your warehouse
No per-connector pricing — connect as many sources as you need, all included
Zero-maintenance syncs
Fully open-source on GitHub — self-host anytime, no vendor lock-in, your data stays yours
Full-funnel joins
Full transparency and control — every query, every schema, every schedule is visible and auditable
How it works
R01 · Collect
Collect all your LinkedIn Pages data with zero engineering
Pull everything your company needs from LinkedIn Pages without touching code or maintaining custom scripts. OWOX Data Marts handle the heavy lifting.
- Your LinkedIn Pages data is stored in one place – your own infrastructure. OWOX Data Marts automatically land your data into BigQuery, Snowflake, or Redshift.
- Your LinkedIn Pages data lands on a schedule: clean, complete, and ready to re-use across reports, dashboards, BI tools, and spreadsheets.
- No API maintenance, no broken scripts — just reliable daily syncs
R02 · Report
Build reports with LinkedIn Pages data that everyone trusts
Once your LinkedIn Pages data lands in your warehouse, OWOX Data Marts make it instantly reusable across spreadsheets and BI tools.
- Pre-built data marts for campaign performance, spend, and ROAS
- Join LinkedIn Pages with CRM, GA4, and revenue data in one query
- Self-serve reporting for marketing teams — no analyst tickets needed
R03 · Visualize
Visualize LinkedIn Pages data instantly in your BI tools
With OWOX Data Marts, your LinkedIn Pages data becomes instantly available for charts, dashboards, pivots, and spreadsheets.
- Whether you use Google Sheets, Looker Studio, Excel, or Power BI, OWOX delivers clean, scheduled LinkedIn Pages data that just works.
- Deliver to Looker Studio, Google Sheets, Power BI, or Excel automatically
- Same numbers everywhere — one source of truth for all stakeholders
S03 · Eight outcomes
Why use OWOX connectors to collect your LinkedIn Pages data?
Eight outcomes you get the moment your data marts go live.
Full picture, one screen
Send LinkedIn Pages reach and engagement into dashboards from one governed source — organic performance you can actually track over time.
Beyond native dashboards
The native analytics expire and cap history; in your warehouse your organic data is kept in full and sliced any way you need.
Your questions, your reports
Build reports that answer your questions — follower growth, post engagement, content that drives profiles — on your definitions.
Faster decisions, better data
See organic and paid together: pair LinkedIn Pages with LinkedIn Ads to understand your full presence, not just the paid slice.
Always fresh, always complete
OWOX Data Marts automate LinkedIn Pages collection on a schedule — posts, impressions, and engagement — with no manual exports.
All sources, one warehouse
Merge organic engagement with pipeline data to see whether brand presence actually moves the funnel.
Zero manual work
Automate transfer into BigQuery, Snowflake, or Redshift — governed and reusable across every report, saving time and removing errors.
Blended reports
Once LinkedIn Pages data lands in governed Data Marts, anyone can ask in their own AI chat — “which posts drove the most engaged followers?” — every number tracing to analyst-written SQL.
What users are saying
Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”