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Ask LinkedIn Pages Questions in Claude

Ask LinkedIn Pages questions in Claude using OWOX Data Marts. Collect LinkedIn Pages data into a governed data mart, then get answers in Claude via OWOX's MCP server — every number traces back to analyst-written SQL.

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Endpoints

LinkedIn Pages endpoints

2 LinkedIn Pages endpoints you can import. Each lands in its own table in your warehouse.

LinkedIn Follower Statistics
Lifetime follower counts broken down by segment — seniority, industry, function, geography, and association type.
6 fieldslinkedin_pages_follower_statistics
LinkedIn Time-Bound Follower Statistics
Daily follower gains broken down by organic and paid — tracks how your audience grows over time.
12 fieldsTime serieslinkedin_pages_follower_statistics_time_bound

Data schema

LinkedIn Pages data schema

LinkedIn Follower Statistics 6 fields · linkedin_pages_follower_statistics

LinkedIn Pages LinkedIn Follower Statistics fields
Field	Type	Description
`organization_urn`	STRING	Organization URN
`category_type`	STRING	Type of follower category (followerCountsByAssociationType, followerCountsBySeniority, etc.)
`segment_name`	STRING	Name of the segment identifier (associationType, seniority, industry, function, staffCountRange, geo)
`segment_value`	STRING	Value of the segment identifier (e.g., urn:li:seniority:3, EMPLOYEE, etc.)
`organic_follower_count`	INTEGER	Count of organic followers in this segment
`paid_follower_count`	INTEGER	Count of paid followers in this segment

LinkedIn Time-Bound Follower Statistics 12 fields · linkedin_pages_follower_statistics_time_bound

LinkedIn Pages LinkedIn Time-Bound Follower Statistics fields
Field	Type	Description
`organization_urn`	STRING	Organization URN
`time_range_start`	TIMESTAMP	Start timestamp of the time range
`time_range_end`	TIMESTAMP	End timestamp of the time range
`organic_follower_gain`	INTEGER	Number of organic followers gained during the time period
`paid_follower_gain`	INTEGER	Number of paid followers gained during the time period
`follower_counts_by_association_type`	OBJECT	Followers segmented by association type (empty in time-bound responses)
`follower_counts_by_seniority`	OBJECT	Followers segmented by seniority (empty in time-bound responses)
`follower_counts_by_industry`	OBJECT	Followers segmented by industry (empty in time-bound responses)
`follower_counts_by_function`	OBJECT	Followers segmented by function (empty in time-bound responses)
`follower_counts_by_staff_count_range`	OBJECT	Followers segmented by staff count range (empty in time-bound responses)
`follower_counts_by_geo_country`	OBJECT	Followers segmented by country (empty in time-bound responses)
`follower_counts_by_geo`	OBJECT	Followers segmented by geographic area (empty in time-bound responses)

In Claude

Ask LinkedIn Pages questions in Claude

You

Are we attracting senior people to our LinkedIn page?

Claude

I read follower_counts_by_seniority from linkedin_pages_follower_statistics_time_bound and grouped senior levels against everyone else, so you see the split and how it changes over time.

It is read from your governed LinkedIn Pages Data Mart through the OWOX MCP server and reflects that Data Mart's last scheduled refresh.

You

Which countries are they in?

Claude

follower_counts_by_geo_country gives the same audience by country. I listed the top countries so you can compare them with the regions you target.

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What users are saying

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“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.”

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“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”

E7re: getting time back

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“We regained time. And time is the one resource that never comes back.”

Turn LinkedIn Pages Data into Answers in Claude

See how OWOX Data Marts helps you ask LinkedIn Pages questions in Claude, blend it with other sources, and scale reporting without rebuilding logic.

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