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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Add your Airtable personal access token, save your PostgreSQL connection details, then pair the two systems in a datastream and select the discovered Base / Table account you want to load.
Catchr discovers fields from your selected Airtable table. Scalar numbers, booleans, and date-like values retain suitable types, while linked records, attachments, and multi-select arrays are preserved as JSON strings.
Yes. You can select Airtable fields, rename the resulting columns, preview the data, and then write the chosen structure to a PostgreSQL table.
Catchr maps discovered fields with Airtable field IDs, so changing a field's display name does not break its existing mapping to PostgreSQL.
Freelancers and agencies can query Airtable records from PostgreSQL for reusable reporting, including grouping date-like data by day, week, month, quarter, or year and sharing the results with reporting tools.
Yes. Connect an existing PostgreSQL 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 marketing platforms and build a data workflow your entire agency can use.