Source connector
LinkedIn Pages connector
LinkedIn Pages integration for databases, warehouses and BI tools
Organic company page content and follower analytics. Datrise captures LinkedIn Pages entities such as posts, followers, page statistics, impressions, engagement metrics and follower demographics, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `linkedin_pages_posts`) with a schema derived from the LinkedIn Pages API rather than a flattened CSV, in any of the 43 supported destinations.
Datrise is in early access: pick a destination below to open the LinkedIn Pages pipeline page, and join the waitlist to get the LinkedIn Pages connector with guided onboarding.
What LinkedIn Pages data Datrise extracts
Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.
| Object | Landing table | Sync mode |
|---|---|---|
| posts | linkedin_pages_posts | Upsert by primary key, incremental on updated-at |
| followers | linkedin_pages_followers | Upsert by primary key, incremental on updated-at |
| page statistics | linkedin_pages_page_statistics | Upsert by primary key, incremental on updated-at |
| impressions | linkedin_pages_impressions | Append-only, incremental by timestamp |
| engagement metrics | linkedin_pages_engagement_metrics | Append-only, incremental by timestamp |
| follower demographics | linkedin_pages_follower_demographics | Upsert by primary key, incremental on updated-at |
Popular destinations for LinkedIn Pages
Choose a destination below to open the ready pipeline page.
- AAirtable
Relational spreadsheet destination for ops and go-to-market teams.
View pipeline - AAmazon Athena
Serverless SQL over S3 data lake tables.
View pipeline - AAmazon DynamoDB
Serverless key-value and document store on AWS.
View pipeline - AAmazon QuickSight
AWS serverless BI with SPICE and embedded analytics.
View pipeline - AAmazon Redshift
AWS petabyte-scale warehouse with Spectrum.
View pipeline - AAmazon S3 Data Lake
Object storage landing zone for parquet and snapshots.
View pipeline - AApache Superset
Open-source BI for SQL exploration, charts, and dashboard publishing.
View pipeline - AAzure Data Lake Storage
ADLS Gen2 object storage for analytics workloads.
View pipeline - AAzure Synapse
Microsoft analytics workspace with SQL pools.
View pipeline
LinkedIn Pages connector FAQ
- What LinkedIn Pages data does the connector extract?
- 6 objects: posts, followers, page statistics, impressions, engagement metrics and follower demographics. Each lands in its own table with types preserved; history-style objects (2: impressions and engagement metrics) load as append-only streams.
- Is the LinkedIn Pages integration incremental?
- Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
- Where can I load LinkedIn Pages data?
- Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each LinkedIn Pages → destination pair has its own page with the object-to-table mapping.
Related sources
Other sources in the same category, each with its own connector page.
Early access
Launch your LinkedIn Pages pipeline with guided onboarding
Join the waitlist to get priority access for LinkedIn Pages integrations with guided setup, schema-aware mapping, and production-grade incremental sync.