Sage 300 and Google Sheets integration

What moves between them

Sage 300 AP vendors, AP invoices, GL accounts, GL journal batches, purchase orders, and inventory items are polled from Sage 300 on a daily or weekly schedule and written to Google Sheets tabs that you define. Each sync appends new records or updates existing rows by matching a key field such as vendor ID or invoice number. Sage 300 is the source of truth and Google Sheets is append-only for historical tracking. The sync is one-way from Sage 300 to Sheets.

How ml-connector handles it

ml-connector stores the Sage 300 HTTP Basic Auth credentials encrypted and issues every API call with the Authorization header, using OData filters to retrieve only new and changed records since the last sync. It presents the Google service account credentials (also encrypted) to authenticate against Google Sheets API, then translates Sage 300 field names into the column headers your sheet defines. On each run, it polls Sage 300, compares records to the last sync date, and appends new rows or updates existing rows in the matching Sheets tab. If a call to Sage 300 times out due to IIS AppPool limits on large volumes (1500+ calls), ml-connector backs off and retries with a smaller batch size. Every record carries a full audit trail, so you can see what was synced, when, and from which Sage 300 endpoint.

A real-world example

A mid-sized manufacturing company runs Sage 300 on-premise for AP, GL, and inventory. The accounting team uses Google Sheets to build a monthly close report that reconciles AP invoices to GL postings and tracks inventory write-offs. Before the integration, an accountant exported Sage 300 AP invoices and GL journal batches to CSV every week and manually pasted them into the Sheets workbook, then hand-verified the invoice counts and GL posting amounts. With Sage 300 and Google Sheets connected, new invoices and journal batches flow into the Sheets tabs automatically every morning, the counts are always current, and the reconciliation starts with verified source data already in place.

What you can do

• •Sync AP vendors, invoices, and payment batches from Sage 300 to Google Sheets on a daily or weekly schedule.
• •Poll GL accounts and GL journal batches, storing the complete transaction history in Sheets for audit and month-end reconciliation.
• •Authenticate Sage 300 with HTTP Basic Auth (uppercase credentials sent with every request) and Google Sheets with OAuth 2.0 or service account.
• •Translate Sage 300 entity fields into your custom Google Sheets column headers, with full data type preservation.
• •Retry failed syncs if Sage 300 IIS timeouts occur, with a full audit trail of every record and sync run.

Questions

What data can flow from Sage 300 to Google Sheets?

AP vendors, AP invoices, AP payment batches, AR customers, GL accounts, GL journal batches, purchase orders, and inventory items all sync from Sage 300 to Sheets. You define which Sheets tabs receive which entities and name the columns that match your reporting needs.

Does Sage 300's lack of webhooks mean the sync is delayed?

Sage 300 is pull-only, so ml-connector polls on a schedule you choose (daily, weekly, or on-demand). Because Sage 300 is on-premise and behind your firewall, webhooks would require additional IIS setup anyway. Polling ensures all Sage 300 instances sync reliably without extra configuration.

What if the Sage 300 API times out on large batches?

Sage 300 IIS AppPool can timeout when 1500+ calls are issued rapidly. ml-connector detects these timeouts, backs off, reduces the batch size, and retries. Each sync is tracked in the audit log so you can see exactly what succeeded and what was re-attempted.