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LinkedIn Ads to Databricks integration

Connect LinkedIn Ads to Databricks and automatically sync your advertising platform data. Weld extracts Campaigns, Campaign Groups, Creatives, and Ad Analytics from LinkedIn Ads, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
LinkedIn AdsSource
WeldWeld
DatabricksWarehouse
Weld · New sync
LinkedIn AdsSourceLinkedIn AdsConnected
Tables to sync
  • account16 cols
  • campaign29 cols
  • creative15 cols
  • campaign_group11 cols
  • ad_analytics_by_campaign66 cols
  • ad_analytics_by_creative66 cols
  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
linkedin_ads schema
  • linkedin_ads.accountSynced
  • linkedin_ads.campaignSyncing
  • linkedin_ads.creativeSynced
  • linkedin_ads.campaign_groupSynced
  • linkedin_ads.ad_analytics_by_campaignSynced
  • linkedin_ads.ad_analytics_by_creativeSynced
LinkedIn Ads tables
20
fields, typed
289
relationships kept
9
agent context included
MCP

Trusted by data and AI teams

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

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

Setup guideAPI guideMCP docs
Weld · New LinkedIn Ads sync
LinkedIn AdsNew connectionLinkedIn AdsAuthorised
Connection namelinkedin_ads
AuthorizeOpens LinkedIn Ads to grant read access
Use cases

Why sync LinkedIn Ads to Databricks?
Ready for analysis.

Centralizing your LinkedIn Ads 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 Ads data directly in Databricks using SQL or your preferred BI tool.

  • Cross-channel ad performance

    Consolidate LinkedIn Ads campaign data in Databricks alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.

  • Centralized data warehouse

    Bring LinkedIn Ads 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 Ads to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

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

Weld syncs the following data objects from LinkedIn Ads into Databricks. The exact tables and fields depend on your LinkedIn Ads configuration and the permissions granted during setup.

Open the schema explorer
All 20 tables
  • account
  • campaign
  • creative
  • campaign_group
  • ad_analytics_by_campaign
  • ad_analytics_by_creative
  • post
  • account_user
  • poll_content
  • carousel_content
  • article_content
  • celebration_content
  • targeting_criteria_include
  • targeting_criteria_exclude
  • media_content
  • account_serving_status
  • campaign_serving_status
  • campaign_group_serving_status
  • campaign_group_allowed_type
  • serving_hold_reasons
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 Ads context, finds the tables it needs and runs the query in Databricks.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many campaign rows do we have per campaign_group? Use our LinkedIn Ads data in Databricks.

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

●weld·search_available_references
⎿raw.linkedin_ads.campaign
raw.linkedin_ads.campaign_group
+ 18 more LinkedIn Ads tables
●weld·get_reference_schema
⎿campaign · 29 columns
joins campaign_group on campaign_group_id
●weld·run_query
⎿select j.id, count(*) from {{raw.linkedin_ads.campaign}} c
join {{raw.linkedin_ads.campaign_group}} j on c.campaign_group_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from LinkedIn Ads data in Databricks
>Ask about your LinkedIn Ads data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the LinkedIn Ads API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If LinkedIn Ads 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

LinkedIn Ads setup guide

How to connect LinkedIn Ads to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

LinkedIn Ads schema explorer

Browse all 20 tables and 289 fields.

Connector

LinkedIn Ads connector

Everything Weld does with LinkedIn Ads.

FAQ

Common questions.
About LinkedIn Ads to Databricks.

Start syncing LinkedIn Ads to Databricks.

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

LinkedIn AdsSource
WeldWeld
DatabricksWarehouse
Start for freeTalk to us
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