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LinkedIn Company Pages to Databricks integration

Connect LinkedIn Company Pages to Databricks and automatically sync your marketing platform data. Weld extracts data from LinkedIn Company Pages, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
LinkedIn Company PagesSource
WeldWeld
DatabricksWarehouse
Weld · New sync
LinkedIn Company PagesSourceLinkedIn Company PagesConnected
Tables to sync
  • organization_lookup42 cols
  • organization_lookup_locations13 cols
  • share_statistics_time_bound13 cols
  • share_statistics11 cols
  • follower_statistics_by_staff_count_range9 cols
  • follower_statistics_by_association_type8 cols
  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
linkedin_pages schema
  • linkedin_pages.organization_lookupSynced
  • linkedin_pages.organization_lookup_locationsSyncing
  • linkedin_pages.share_statistics_time_boundSynced
  • linkedin_pages.share_statisticsSynced
  • linkedin_pages.follower_statistics_by_staff_count_rangeSynced
  • linkedin_pages.follower_statistics_by_association_typeSynced
LinkedIn Company Pages tables
14
fields, typed
152
agent context included
MCP

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How it works

How to set up LinkedIn Company Pages to Databricks in Weld.
In the app, with the API or an agent.

API guideMCP docs
Weld · New LinkedIn Company Pages sync
LinkedIn Company PagesNew connectionLinkedIn Company PagesAuthorised
Connection namelinkedin_pages
AuthorizeOpens LinkedIn Company Pages to grant read access
Use cases

Why sync LinkedIn Company Pages to Databricks?
Ready for analysis.

Centralizing your LinkedIn Company Pages data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying LinkedIn Company Pages data directly in Databricks using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring LinkedIn Company Pages data into Databricks alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from LinkedIn Company Pages to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every LinkedIn Company Pages table, keys intact.

Weld syncs the objects the LinkedIn Company Pages connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 14 tables
  • organization_lookup
  • organization_lookup_locations
  • share_statistics_time_bound
  • share_statistics
  • follower_statistics_by_staff_count_range
  • follower_statistics_by_association_type
  • follower_statistics_by_function
  • follower_statistics_by_geo
  • follower_statistics_by_geo_country
  • follower_statistics_by_industry
  • follower_statistics_by_seniority
  • follower_statistics_time_bound
  • follower_statistics
  • total_follower_count
Weld MCP server

Ask your agent.
It queries Databricks for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the LinkedIn Company Pages context, finds the tables it needs and runs the query in Databricks.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many organization_lookup rows do we have in Databricks?

Reading the LinkedIn Company Pages context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.linkedin_pages.organization_lookup
+ 13 more LinkedIn Company Pages tables
●weld·get_reference_schema
⎿organization_lookup · 42 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.linkedin_pages.organization_lookup}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from LinkedIn Company Pages data in Databricks
>Ask about your LinkedIn Company Pages data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the LinkedIn Company Pages API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If LinkedIn Company Pages adds new fields, they're detected and added to the corresponding Databricks tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

LinkedIn Company Pages schema explorer

Browse all 14 tables and 152 fields.

Connector

LinkedIn Company Pages connector

Everything Weld does with LinkedIn Company Pages.

Connector

Databricks connector

Everything Weld does with Databricks.

FAQ

Common questions.
About LinkedIn Company Pages to Databricks.

Start syncing LinkedIn Company Pages to Databricks.

Set up your LinkedIn Company Pages data pipeline in minutes. No credit card required. Free for 14 days.

LinkedIn Company PagesSource
WeldWeld
DatabricksWarehouse
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