Facebook Pages to Databricks integration
Connect Facebook Pages to Databricks and automatically sync your marketing platform data. Weld extracts data from Facebook Pages, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceFacebook PagesConnected- page170 cols
- post68 cols
- video26 cols
- page_daily_insights8 cols
- page_lifetime_insights7 cols
- post_lifetime_insights7 cols
- Extract
- Load
- Keep in sync
DestinationDatabricksReady- facebook_pages.pageSynced
- facebook_pages.postSyncing
- facebook_pages.videoSynced
- facebook_pages.page_daily_insightsSynced
- facebook_pages.page_lifetime_insightsSynced
- facebook_pages.post_lifetime_insightsSynced
- Facebook Pages tables
- 10
- fields, typed
- 333
- relationships kept
- 5
- agent context included
- MCP
Trusted by data and AI teams
How to set up Facebook Pages to Databricks in Weld.
In the app, with the API or an agent.
New connectionFacebook PagesAuthorisedWhy sync Facebook Pages to Databricks?
Ready for analysis.
Centralizing your Facebook 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 Facebook Pages data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Facebook 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 Facebook Pages to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Facebook Pages table, keys intact.
Weld syncs the objects the Facebook Pages connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.
- page
- post
- video
- page_daily_insights
- page_lifetime_insights
- post_lifetime_insights
- post_comment
- post_daily_insights
- video_lifetime_insights
- post_reaction
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Facebook Pages context, finds the tables it needs and runs the query in Databricks.
How many post rows do we have per page? Use our Facebook Pages data in Databricks.
Reading the Facebook Pages context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Facebook Pages API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Facebook 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.
Keep reading.
Guides, docs and schema.
Facebook Pages setup guide
How to connect Facebook Pages to Weld, step by step.
DocumentationDatabricks setup guide
How to connect Databricks to Weld, step by step.
SchemaFacebook Pages schema explorer
Browse all 10 tables and 333 fields.
ConnectorFacebook Pages connector
Everything Weld does with Facebook Pages.
Common questions.
About Facebook Pages to Databricks.
Start syncing Facebook Pages to Databricks.
Set up your Facebook Pages data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
