Home > Destinations > Snowflake > Facebook Pages

Connect Facebook Pages to Snowflake

Connect Facebook Pages to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Facebook Pages API pipeline.

Facebook Pages export job

First sync scheduled

Facebook Pages Selected accounts

Configured job

Snowflake Destination table

Account Facebook Pages · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Facebook Pages data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Facebook (Meta) Pages data in PostgreSQL

Bring all your Facebook (Meta) Pages data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Facebook (Meta) Pages Social data

INaccounts PMprofiles CUposts BLmedia

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.Facebook (Meta) Pages_raw

TableScopeStatus

accountsSelectedReady

profilesSelectedReady

postsSelectedReady

mediaSelectedReady

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from Facebook (Meta) Pages so every dashboard, model, and report works with fresh information.

Facebook (Meta) PagesConfigured account

SnowflakeFacebook Pages Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated profiles102 appended Warehouse up to date

Analysis

Unify Facebook Pages with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Blue reels play count Social

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Snowflake model business_360 Unified

FieldFrom

customer_idCRM

Blue reels play countaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Facebook Pages metrics and dimensions available in Snowflake

Access 221 metrics and 178 dimensions from Facebook Pages connectors including Fan count, Page Total Action, Post Engagement Rate, Post clicks, Page post impression, Page video views click to play, Category, Website, Page address, Verification Status, Day of the month and many more...

221

Metrics availables

178

Dimensions availables

View all Facebook Pages Metrics metrics and dimensions

Connect Facebook Pages to Snowflake in minutes

Move your data from Facebook Pages to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Facebook Pages account

Authenticate your Facebook Pages account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Facebook Pages 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields

Authentication Choose one

Password

Key pair

Host Required

xy12345.eu-west-1

Username Required

catchr_service

Database Required

MARKETING.RAW

Private key passphrase Optional

••••••••••••

Private key Required for key pair

-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----

Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day Facebook Pages organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

30-day window

SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.facebook_pages_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Emailing

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How does a Facebook Pages-to-Snowflake workflow work in Catchr?

Connect Facebook Pages and add Snowflake as the stored destination. Create a datastream, then save a job that sends the required records to the "profiles" table.

Can I choose the Facebook Pages columns loaded into Snowflake?

Select concrete Facebook Pages fields such as Blue reels play count, Facebook reels replay count, Facebook reels total plays, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, profiles, and posts.

Can I choose both history and frequency for a Facebook Pages Snowflake job?

Choose how far back the first Facebook Pages load should go and how much recent data each "profiles" run should refresh. Catchr splits large backfills into smaller intervals.

Can Catchr refresh only the recent Facebook Pages rows in Snowflake?

For recurring Facebook Pages loads, assign an eligible partition field to "profiles". Otherwise Catchr cannot match the refresh window and will append the returned records.

What business questions can Facebook Pages data answer in Snowflake?

With Facebook Pages data, a Snowflake query can summarize impressions, reach, engagements, and engagement rate by post. Join Blue reels play count and Facebook reels replay count with shared account or date keys to build a reusable performance model in Snowflake.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

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100+ sources

Used by the world's leading companies

Export Facebook Pages data to Snowflake

Centralize Facebook (Meta) Pages data in PostgreSQL

Keep your Snowflake tables up to date

Unify Facebook Pages with the rest of your business data

Facebook Pages metrics and dimensions available in Snowflake

Connect Facebook Pages to Snowflake in minutes

Connect your Facebook Pages account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Facebook Pages organic content performance in SQL.

Choose what to load into Snowflake.

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