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 Pardot in Catchr, then add Google Cloud Storage using a service-account JSON key and bucket ID. Create a datastream between them and configure the fields, file name, CSV or JSON format, initial history, and recurring schedule.
Select the Pardot dimensions and metrics you need, such as Bounce Rate, Bounces, Click Through Rate, and Day of the month. You can rename columns and preview the result before Catchr exports them as CSV or JSON files to your Google Cloud Storage bucket. Exact availability depends on the source API and account permissions.
Set the initial Pardot history separately from the recurring schedule. Catchr processes the available backfill, then writes new CSV or JSON files to your Google Cloud Storage bucket on the saved frequency. Available history depends on the source API and job settings.
Choose CSV or JSON for the export job. Catchr does not currently claim Parquet, Avro, or automatic file partitioning for Google Cloud Storage.
After Pardot files land in your Google Cloud Storage bucket, load them into your warehouse or BI workflow to summarize pipeline value, created deals, won deals, and win rate by owner. The stored CSV or JSON history can support reusable dashboards, audits, and recurring client reports.
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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