# Connect ServiceTitan to Google Sheets > Sync jobs, invoices, technician performance, and customer data from ServiceTitan directly into Google Sheets — no manual exports required. **Canonical page:** https://tray.ai/connectors/servicetitan-google-sheets-integrations/ **ServiceTitan connector:** https://tray.ai/connectors/servicetitan-integrations/ **ServiceTitan documentation:** https://tray.ai/documentation/connectors/service/servicetitan **Google Sheets connector:** https://tray.ai/connectors/google-sheets-integrations/ **Google Sheets documentation:** https://tray.ai/documentation/connectors/service/google-sheets ## Overview ServiceTitan is the go-to platform for field service businesses managing dispatching, invoicing, and customer relationships. Google Sheets is where most of the actual analysis happens — dashboards, ad hoc reports, KPI tracking shared across a team. The problem is getting data from one to the other without someone spending an hour on CSV exports every morning. Connecting ServiceTitan to Google Sheets through tray.ai automates that flow, so managers, owners, and finance teams get live visibility into job performance, revenue trends, and technician productivity without the manual grind. Field service businesses run on data — job completion rates, average ticket values, technician utilization, seasonal revenue trends. But ServiceTitan is built for operations, not custom reporting. It stores the data; it doesn't always make it easy to slice. Meanwhile, Google Sheets is where operations managers, finance leads, and business owners already spend their time — building dashboards, sharing KPIs, running quick calculations. Doing this manually means someone's spending hours each week exporting reports, reformatting columns, and copy-pasting figures — a process that introduces errors and always lags behind reality. Connecting ServiceTitan to Google Sheets with tray.ai automates that data flow so your spreadsheets stay current, your team spends less time wrangling data, and leadership has accurate numbers when they need them. ## Use cases ### Automated Daily Job Summary Reporting Every morning, automatically pull the previous day's completed, cancelled, and pending jobs from ServiceTitan and append a structured summary row to a Google Sheet. Operations managers get an always-current job log without logging into ServiceTitan each day. Teams can build charts, pivot tables, and dashboards directly on top of this live data feed. - Eliminates daily manual report exports from ServiceTitan - Provides a persistent historical log of job activity in a shareable format - Enables custom dashboards and visualizations built directly in Google Sheets ### Technician Performance Tracking and Leaderboards Automatically sync technician-level job data — jobs completed, revenue generated, callback rates, customer satisfaction scores — from ServiceTitan into a dedicated Google Sheet on a scheduled basis. Operations leaders can use this to build performance leaderboards, spot who needs coaching, and recognize top performers. The data stays fresh without anyone having to pull it manually from the ServiceTitan reporting module. - Gives managers real-time visibility into individual technician KPIs - Backs coaching conversations with accurate numbers rather than gut feel - Cuts time spent compiling performance reports from hours to minutes ### Invoice and Revenue Syncing for Finance Teams Automatically push newly created or updated invoices from ServiceTitan into a Google Sheet your finance or accounting team uses for revenue tracking, forecasting, and reconciliation. Each row captures invoice number, job type, customer, amount, payment status, and date — a lightweight, real-time revenue ledger that doesn't require finance to log into ServiceTitan just to pull figures. - Keeps finance teams current on revenue without requiring ServiceTitan logins - Reduces reconciliation errors caused by stale or manually entered data - Provides a structured audit trail of all invoices in an easily shareable format ### Customer List and CRM Data Export Sync new and updated customer records from ServiceTitan into Google Sheets to support marketing outreach, membership renewal campaigns, and customer segmentation. Teams can filter by service history, last job date, or membership status directly in Sheets and use that data to drive targeted communication. Marketing and customer success teams get access to ServiceTitan's customer data without needing to navigate the full platform. - Lets marketing teams segment customers using live ServiceTitan data - Supports membership renewal and re-engagement campaigns with accurate contact lists - Removes dependency on ServiceTitan admin access for non-operational teams ### Dispatch and Scheduling Visibility Dashboard Automatically feed today's scheduled and dispatched jobs from ServiceTitan into a live Google Sheet that works as an operational dashboard for dispatchers and managers. The sheet can display job status, assigned technician, estimated arrival time, and priority level — updated throughout the day as ServiceTitan data changes. Office teams get a read-only, shareable view of the dispatch board without needing ServiceTitan seats. - Provides a shareable, real-time dispatch view for non-ServiceTitan users - Reduces inbound status-check calls by making job progress visible across the team - Enables custom filtering and sorting that may not be available in ServiceTitan's native views ### Membership and Agreement Renewal Tracking Pull active and expiring service agreements and memberships from ServiceTitan into Google Sheets on a recurring schedule, giving your customer success or sales team a prioritized list of accounts to contact for renewals. The sheet can flag memberships expiring within 30, 60, or 90 days and track outreach status alongside the ServiceTitan data — a simple CRM overlay that keeps retention-focused teams proactive without rebuilding ServiceTitan reports each week. - Surfaces expiring memberships automatically so no renewals fall through the cracks - Lets teams track outreach status alongside live ServiceTitan membership data - Reduces churn by enabling renewal conversations before the expiration hits ### Payroll and Labor Hours Data Compilation Automatically extract technician time tracking, labor hours, and job-level billing data from ServiceTitan and compile it into a structured Google Sheet that simplifies payroll processing or labor cost analysis. HR and finance teams can review hours, flag anomalies, and cross-reference billing versus time logged — all in a familiar spreadsheet. Payroll errors that come from manually transcribed data are a lot easier to avoid when the data moves itself. - Reduces hours spent compiling technician time data for payroll runs - Gives HR and finance a single, structured view of labor hours across all jobs - Minimizes payroll errors caused by manually transcribed time and billing data ## Templates ### Daily ServiceTitan Job Log to Google Sheets Every day at a scheduled time, this template queries ServiceTitan for all jobs created or updated in the last 24 hours and appends a formatted row to a designated Google Sheet — capturing job ID, customer name, job type, status, assigned technician, and total amount. Connectors used: ServiceTitan, Google Sheets ### New ServiceTitan Invoice to Google Sheets Revenue Tracker When a new invoice is created in ServiceTitan, this template automatically adds a corresponding row to a Google Sheet revenue tracker — including invoice number, customer name, job category, subtotal, tax, total, and payment status — keeping your finance team's revenue log perpetually current. Connectors used: ServiceTitan, Google Sheets ### Weekly Technician Performance Report to Google Sheets On a weekly basis, this template pulls technician performance metrics from ServiceTitan — including jobs completed, revenue generated, and average job value — and writes each technician's data to a summary Google Sheet that managers use for team reviews and coaching sessions. Connectors used: ServiceTitan, Google Sheets ### ServiceTitan New Customer Sync to Google Sheets Whenever a new customer record is created in ServiceTitan, this template captures their details and adds them as a new row in a Google Sheet customer list — so marketing, customer success, and operations teams can work with current customer data without needing platform access. Connectors used: ServiceTitan, Google Sheets ### Expiring Memberships Alert Sheet from ServiceTitan This template runs on a schedule, querying ServiceTitan for service agreements and memberships expiring within a configurable window (e.g., 30 or 60 days), and writes the results to a Google Sheet so customer success teams can prioritize renewal outreach each week. Connectors used: ServiceTitan, Google Sheets ### ServiceTitan Payroll Hours Compilation to Google Sheets At the end of each pay period, this template extracts technician time entries and labor hours from ServiceTitan and compiles them into a structured Google Sheet, giving HR and finance teams a clean, ready-to-review payroll data set without manual extraction. Connectors used: ServiceTitan, Google Sheets ## Challenges Tray.ai solves ### ServiceTitan's API Complexity and Pagination ServiceTitan's API uses tenant-specific endpoints, OAuth 2.0 authentication, and paginated responses that make large data pulls — like all jobs for a given month — technically tricky to implement and maintain. Without proper handling, extracts can come back incomplete or break entirely when response sizes exceed page limits. **How Tray.ai helps:** tray.ai's ServiceTitan connector handles OAuth authentication and API versioning natively, and tray.ai's workflow logic supports pagination loops out of the box — so every record gets retrieved and written to Google Sheets reliably, even across thousands of rows. ### Keeping Google Sheets Rows Updated Without Duplicates When syncing data from ServiceTitan to Google Sheets on a recurring schedule, avoiding duplicate rows is a real problem — especially for records that already exist but have changed, like invoices that updated payment status or jobs that moved from scheduled to complete. **How Tray.ai helps:** tray.ai workflows can check whether a matching row already exists in Google Sheets using a lookup step before deciding whether to append a new row or update the existing one — keeping the sheet clean and accurate without manual deduplication. ### Handling Large Data Volumes Across Historical Sync Field service businesses with high job volume can have tens of thousands of jobs, invoices, or customer records in ServiceTitan, which makes a one-time historical sync to Google Sheets genuinely difficult. Google Sheets also has a five million cell limit, so a poorly structured sync can hit that ceiling fast. **How Tray.ai helps:** tray.ai supports configurable date range filters and batch processing within workflows, so you control exactly how much data flows into Google Sheets at a time. Workflows can be scoped to rolling windows (last 30 days, last quarter) to keep sheets focused and performant. ### Multi-Location or Multi-Tenant ServiceTitan Accounts Many ServiceTitan customers operate multiple business units or locations under a single account. Getting a unified Google Sheet across all of them requires querying each business unit separately and then consolidating the results — something that's completely impractical to do by hand. **How Tray.ai helps:** tray.ai workflows support looping across a list of business unit IDs, making it straightforward to query each unit separately and write consolidated results into a single Google Sheet with a business unit column for segmentation — giving multi-location operators a unified reporting view. ### Data Formatting Mismatches Between ServiceTitan and Google Sheets ServiceTitan returns data in formats — Unix timestamps, numeric status codes, nested JSON objects — that don't translate directly into readable Google Sheets columns. Without transformation logic, raw API data lands in sheets in a state that needs significant cleanup before anyone can use it. **How Tray.ai helps:** tray.ai's built-in data transformation tools let you convert timestamps to readable date formats, decode status codes into human-readable labels, and flatten nested objects into discrete columns — all within the workflow, so data arrives in Google Sheets clean and ready for analysis. ## Learn more - Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/ - Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/ - Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/ - Book a demo: https://tray.ai/contact/