Moving marketing data by hand means logging into every platform, rebuilding each extract, and uploading every file to Google Cloud Storage again.
A recurring delivery still starts with separate logins, account selections, date ranges, and downloads for every marketing platform.
Inconsistent names and formats create another round of checking before anything reaches the correct bucket.
Manual routes break when a task is late or its owner is unavailable. The latest file can be missing when another workflow expects it.
Select the ad accounts, available fields, initial history, file format, and schedule for the job. The next delivery uses the same configured route.
The configured job runs on the recurring schedule you choose, so a fresh delivery no longer depends on someone repeating the download and upload.
Open a source route for its data scope, file example, setup requirements, reporting constraints, and related workflows.
Set the initial history supported by the source and choose a recurring schedule. Catchr performs scheduled file exports rather than a live streaming connection.
Connect Google Cloud Storage with service-account JSON key and bucket ID. Your team keeps control of access, retention, transformations, joins, and downstream reporting.
Answers about direction, credentials, file formats, history, scheduling, and ownership.
Connect Airtable with a personal access token, select a discovered Base / Table pair, then add Google Cloud Storage with a service-account JSON key and bucket ID. Create a datastream and configure the fields, file name, CSV or JSON format, available initial history, and recurring schedule.
Catchr discovers fields from the selected Airtable base and table. Scalar numeric, boolean, and date-like fields retain compatible native types, while linked records, attachments, and multi-select arrays are preserved as JSON strings in the exported data.
Catchr maps discovered Airtable fields by their field IDs rather than display names, helping saved mappings remain stable when a field is renamed. Field availability still depends on the selected table, personal access token permissions, and Airtable API access.
Yes. Choose CSV or JSON when configuring the Airtable datastream, and Catchr writes the resulting files to your Google Cloud Storage bucket. Parquet, Avro, and automatic file partitioning are not currently claimed for this destination.
Agencies can export records from selected Airtable bases and tables into Google Cloud Storage for downstream warehouse or BI workflows. The stored CSV or JSON files can support reusable dashboards, operational reporting, audits, and client deliverables based on the fields available in Airtable.
Catchr exports the selected fields as files. Your team owns storage access, retention, transformations, semantic models, joins, and downstream dashboards after the files reach Google Cloud Storage.
Catchr supports more than 100 platforms across advertising, analytics, CRM, ecommerce, email, SEO, and social. Explore the connector directory to confirm a specific source.
Our teams is always here to responds to any question you could have about our data connector.
Build the first scheduled CSV or JSON export with a 14-day free trial. No credit card required.
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