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Facebook Public Data
Selected accounts
Configured job
MySQL
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
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
Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your MySQL table.
This example summarizes impressions, reach, engagements, and engagement rate by post.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about MySQL setup, available source data, schedules, table updates, and SQL use cases.
Start with a connected Facebook Public Data source and an existing MySQL database. Create a datastream between them, then configure the accounts, fields, schedule, and "profiles" table.
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 MySQL tables such as accounts, profiles, and posts.
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.
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.
With Facebook Public Data data, a MySQL 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.
Yes. Connect an existing MySQL database first. The Catchr job creates and populates the destination table you configure inside that 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.
Our teams is always here to responds to any question you could have about our data connector.
Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.
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