Facebook Pages to Domo Integration
AI-first ETL from Facebook Pages into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Pages into Domo
Datrise syncs Facebook Pages's posts, page insights, followers, reactions, comments, and reach metrics into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Facebook Pages: Organic page presence and audience engagement on Meta.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Facebook Pages entities map to Domo
| Facebook Pages entity | Domo object | Notes |
|---|---|---|
| posts | facebook_pages_posts | id PK · custom fields → flattened columns for Magic ETL |
| page insights | facebook_pages_page_insights | id PK · linked to facebook_pages_posts |
| followers | facebook_pages_followers | id PK · linked to facebook_pages_posts |
| reactions | facebook_pages_reactions | id PK · linked to facebook_pages_posts |
FAQ
How does Datrise handle Facebook Pages's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Facebook Pages to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Facebook Pages
Early access
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