When you install Pushrow on an existing WordPress site, you’re not starting from zero. You might have years of WooCommerce orders, thousands of form submissions, or hundreds of LearnDash enrollments already in your database. Pushrow handles new data automatically in real time — but what about your existing data?
This guide covers Pushrow’ bulk processing capabilities and how to approach historical data sync.
What Is Bulk Processing?
Bulk processing in Pushrow lets you sync large datasets from WordPress to Google Sheets in a single operation. Instead of waiting for new events to trickle in, you can push historical data from your WordPress database to a Google Sheet all at once.
This is particularly useful when:
- You’re setting up Pushrow for the first time and want historical data in your Sheet
- You’ve been running your site without Pushrow and want to backfill past orders, submissions, or enrollments
- You’re migrating data from an old Sheet structure to a new one
- You need a one-time full export of a large dataset
How Bulk Processing Works in Pushrow
Pushrow includes a bulk processing mode that queues large datasets and sends them to Google Sheets in batches. This avoids hitting Google’s API rate limits while still processing all your historical data efficiently.
The bulk process runs in the background — you can continue using your WordPress site while it processes. A progress indicator in the Pushrow dashboard shows you how many records have been processed.
Setting Up a Bulk Sync
- Go to Pushrow → Sync Jobs and open the sync job you want to bulk process.
- In the sync job settings, find the Bulk Sync option.
- Set your date range if you want to sync only data from a specific time period.
- Click Start Bulk Sync. Pushrow will queue all matching records from your WordPress database.
- Monitor progress in the Pushrow dashboard. Processing speed depends on dataset size and Google API response times.
API Rate Limits and Bulk Sync
Google Sheets API allows 300 write requests per minute per project. Pushrow’s bulk processor respects these limits automatically, throttling requests when necessary to avoid errors.
For very large datasets (tens of thousands of records), bulk sync may take some time. This is normal — Pushrow is prioritizing accuracy and API compliance over speed.
Best Practices for Bulk Sync
- Run large bulk syncs during off-peak hours when your site has lower traffic
- Set up a fresh Google Sheet tab specifically for historical data, separate from your live real-time sync tab
- Start with a smaller date range to verify your field mapping is correct before syncing all historical data
- Check the Sync Logs in Pushrow after the bulk process to verify all records were processed successfully
Ongoing Real-Time Sync After Bulk Import
Once your historical data is in Google Sheets, your regular real-time sync job handles all new data going forward. The bulk sync and real-time sync work together: bulk fills in the past, real-time keeps the present current.
Pushrow for Google Sheets is included in the PluginStack bundle — 6 premium plugins for a one-time payment of $99 (Solo) or $179 (Agency). Lifetime updates included. No recurring fees.
→ Get PluginStack at pluginstack.dev/pricing