Home > Destinations > Azure SQL > Facebook Public Data

Connect Facebook Public Data to Azure SQL

Connect Facebook Public Data to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

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

Used by the world's leading companies

Export Facebook Public Data data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Facebook Public Data data in Azure SQL

Bring all your Facebook Public Data data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from Facebook Public Data so every dashboard, model, and report works with fresh information.

Analysis

Unify Facebook Public Data with the rest of your business data

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

Facebook Public Data metrics and dimensions available in Azure SQL

Access 23 metrics and 51 dimensions from Facebook Public Data connectors including Fan Count, Follower Count, Reactions Count, Comments Count, Shares Count, Talking About Count, Page Name, Page Category, Post Created At, Post Type, Post Message, Post Permalink Url and many more...

23

Metrics availables

51

Dimensions availables

Connect Facebook Public Data to Azure SQL in minutes

Move your data from Facebook Public Data to Azure SQL 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 Public Data account

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

Client A · Connected sources
5 sources ready
Facebook Public Data 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 AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

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

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Facebook Public Data organic content performance in SQL.

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

Facebook Public Data.sql
BigQuery SQL
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_public_data_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

Connect more table to your Facebook Public Data data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Before you schedule the job.

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

How do I start a scheduled Facebook Public Data import into Azure SQL?

Start with a connected Facebook Public Data source and an existing Azure SQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "profiles" table.

Which Facebook Public Data entities can become Azure SQL tables?

Select concrete Facebook Public Data fields such as Checkins, Comments Count, Comments Per Post, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, profiles, and posts.

Does Catchr support an initial fetch for Facebook Public Data data in Azure SQL?

Set an initial fetch period for Facebook Public Data, then choose the frequency and lookback window for the job writing to "profiles". Catchr rewrites that selected period on each run.

Which partition setting keeps Facebook Public Data Azure SQL rows updated?

The partition field tells Catchr which Facebook Public Data rows in "profiles" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.

What is a practical SQL use case for Facebook Public Data data?

With Facebook Public Data data, an Azure SQL query can summarize impressions, reach, engagements, and engagement rate by post. A query built around Checkins and Comments Count can support trend reviews, account comparisons, and operational reporting.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  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 Azure SQL  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 ? 

Our teams is always here to responds to any question you could have about our data connector.