How to Automate Google Sheets

You automate Google Sheets in three layers. Formulas and functions handle anything that stays inside the sheet. Apps Script and scheduled triggers handle repeatable jobs on a timer. Getting the numbers in from tools that have no export is the layer most people still do by hand, and the one worth handing to an agent like WebRun.

Google Sheets quietly became the company database

Google Sheets, which plenty of people still call a Google Spreadsheet, is the free spreadsheet in Google Workspace. In most small companies it quietly became the place where the business is actually run. It holds the customer list, the job schedule, the stock count, the commission working and the numbers someone reads out on Monday morning.

It earned that job by being easy to get into. It opens in a browser, several people can type in it at once, and nobody has to ask an administrator for a licence. The bookkeeper, the office manager and the owner can all be in the same tab at the same time, which is more than can be said for most of the software those three were given.

So the spreadsheet sits downstream of every other tool you own. The booking system, the card terminal, the accounting package and the inbox all feed one sheet, because it is the only place all of it can sit side by side.

Every number in it arrives by hand

Almost none of the time spent on a spreadsheet is spent thinking. It goes on moving numbers into it.

Someone opens the booking system every morning, reads yesterday's total off a dashboard, and types it into a cell. Someone exports a report from the CRM, opens the CSV, deletes three columns and pastes the rest into a tab. Someone checks four supplier portals for prices that changed and updates a column by hand. Someone copies the same figures into a second, tidier sheet for a manager who will never open the first one.

Each takes a few minutes, which is exactly why nobody ever fixes them. They become visible only when the person who does them is on holiday and the sheet goes stale for a fortnight, or when a number gets typed wrong and a decision gets made on it.

The google.com homepage, the app these three jobs run in. Google Sheets
Filling the sheet Yesterday's orders, bookings, balances and ad spend, collected from wherever they live and written into the right row before you open the tab.
Working through the sheet Taking each row and doing something with it somewhere else: a reminder sent, a price checked, a status looked up and written back.
Getting the sheet read Turning the tab nobody opens into a short summary that lands in the place your team already looks every morning.

Formulas only reach what is already open to them

The sheet does more on its own than most people use, and it is worth knowing how far that reaches before paying for anything. One sheet can read a range out of another and stay in step with it. A long tab can be filtered down to a short one that updates itself. A table on a public web page can be pulled in and refreshed. Apps Script will run a job on a timer, so a nightly tidy-up or an emailed snapshot really can be set and forgotten.

Every one of those has the same ceiling. They can only reach what is already open to them: another spreadsheet, a public page, a tool with an API and someone on hand to write against it.

The numbers you actually want are almost never in those places. They are behind a login, on a screen, in a supplier portal or a bank or a booking system or a twenty-year-old piece of trade software, sitting there in plain sight with no export button anywhere near it. That is the wall, and it is the reason someone in your office is still retyping figures at nine in the morning.

A spreadsheet that goes and fetches for itself

Change that, and the question stops being what can I import and becomes what do I want to know.

You buy from six suppliers, and every one shows live prices and stock behind its own login. That can be a column instead: this morning's price against what you paid last time, so the line that moved is obvious before you order.

You ship. Tracking numbers go out and somebody spends an afternoon pasting them into courier sites one at a time. Those statuses can be sitting in the sheet by the time you open it, with anything that stopped moving pushed to the top.

The same trick works on anything you can see in a browser. What your competitors are charging today. Which of your listings slipped off the first page. The takings from a system that only ever shows them on a dashboard. Whether the permit you are waiting on has changed status yet. None of it needs an API, a developer, or an integration somebody else has to build first.

One rule holds across all of it: automate the collecting, keep the deciding. A sheet that fills itself overnight is a gift. A sheet that emails your customers on its own is a risk, and should never send without a person saying yes.

An agent does the retyping

Between the portal where the number lives and the cell it belongs in sits a person. Only the deciding needs one.

WebRun is an AI agent that works a real Chrome browser, signed in as you. It opens the supplier portal, reads the price off the screen, and writes it into the right row of your spreadsheet. Because it uses the browser rather than an API, it reaches anything you can reach: no key to generate, no add-on, no integration that has to exist first.

It runs on your schedule in your own private environment. You can watch a run and stop it mid-way, and anything irreversible drafts and waits for you.

The workflows below are already built. Each one names the apps it touches and the steps it takes, so you can read what it does before you switch it on.

Questions people ask

Do I need to turn on the Google Sheets API or share my spreadsheet?

No. WebRun opens Google Sheets in a real browser signed in as you, so it works with the access you already have. There is no API key, no add-on and no change to the sharing settings on the file.

Will it overwrite the data already in my sheet?

Only where you point it. Most workflows append a new row or write into one named column, and each template spells out which cells it touches before you turn it on. Writing to a raw tab that your working tabs read from keeps typed work safe either way.

Can it pull numbers out of a tool that has no export button?

Yes, and that is usually the reason to use it. WebRun reads the figure off the screen the way a person would, then writes it into your spreadsheet, so a dashboard with no export is no longer a dead end.

4,178 ready-made Google Sheets workflows

Each one names the apps it touches and the exact steps it takes. Open one to read what it will do, then turn it on.

Automated DAT Margin Per Load Report
WebRun pulls completed load data from DAT, calculates the margin on each load using your buy and sell rates, and logs the results to Google Sheets so you always know which lanes and carriers are most profitable.
DATGoogle Sheets
Automated DAT Lane Rate Trend Digest
WebRun pulls weekly spot rate trends from DAT for your most active lanes and posts a digest to Slack so your brokers can quote with confidence and renegotiate contracts when the market shifts.
DATSlackGoogle Sheets
Automated Freight Factoring Submission Packet
WebRun pulls completed loads from DAT, assembles the load details needed for your factoring company submission, and logs a daily packet to Google Sheets so your team can review and submit without hunting for data.
DATGoogle SheetsGmail
Automated DAT Detention and Accessorial Tracker
WebRun reviews recent loads in DAT, identifies detention and accessorial charges that have been incurred but not yet invoiced, and logs them to Google Sheets so nothing falls through the cracks at billing time.
DATGoogle SheetsSlack
Automated Customer Freight Quote Follow-Up
WebRun checks your quote log in Google Sheets for customer quotes that haven't received a response, pulls current DAT spot rates to keep the follow-up relevant, and drafts a personalized follow-up email in Gmail for each open quote.
DATGoogle SheetsGmail
Automated Carrier Onboarding Document Chaser
WebRun checks DAT for carriers you've added but whose onboarding packet is incomplete, then drafts a follow-up email for each one and queues it for your review before sending.
DATGmailGoogle Sheets
Automated Cass Freight GL Coding Review
WebRun reviews GL allocations on freight invoices in Cass, flags any missing or mismatched codes, and builds a review queue in Google Sheets so your accounting team can clear exceptions before month-end close.
CassGoogle Sheets
Automated Cass Duplicate Freight Invoice Detection
WebRun scans your Cass invoice queue for duplicate submissions, flags them in a Google Sheet, and keeps a running tally of avoided double-payments.
CassGoogle Sheets
Automated Cass Freight Currency Conversion Check
WebRun checks international freight invoices in Cass for currency conversion rates, flags any invoice converted at a rate that differs from your treasury benchmark, and logs exceptions to a Google Sheet for review.
CassGoogle Sheets
Automated Cass Carrier Rate Compliance Report
WebRun analyzes paid freight invoices in Cass against your carrier contracts and delivers a weekly compliance scorecard by carrier and lane to Google Sheets, so you know who is billing correctly before renewal time.
CassGoogle Sheets
Automated Cass Freight Accrual Report
WebRun pulls uninvoiced and in-transit shipment data from Cass, estimates accrual amounts by lane and cost center, and delivers a formatted accrual file to Google Sheets ready for your ERP upload.
CassGoogle Sheets
Jirav Automated Month-End Variance Report to Sheets
At month-end close, WebRun reads actuals and budget figures from Jirav, calculates the variance for each account or cost centre, and writes a clean tabulated report to Google Sheets so your FP and A team can review the close without manual exports.
JiravGoogle Sheets
Jirav Automated KPI Dashboard Logging
WebRun pulls your key KPIs from Jirav on a set schedule, logs each metric into a Google Sheets dashboard, and keeps a running history so your finance team always has an up-to-date performance snapshot without manual data entry.
JiravGoogle Sheets
Jirav Automated Board Deck Metrics Prep
Before each board meeting, WebRun pulls the key financial metrics from Jirav and writes a structured summary table to Google Sheets for your team to review and refine before any deck content is finalized.
JiravGoogle Sheets
Automated Magaya Profit Per File Report
Every Monday, WebRun pulls closed shipment files from Magaya, calculates actual revenue minus costs for each, ranks them by profitability, and logs the results in a Google Sheet for your management team.
MagayaGoogle SheetsSlack
Automated Magaya Overdue Invoice Chaser
Every Monday, WebRun finds overdue invoices in Magaya, logs each one in a Google Sheet with aging and amount, and drafts a polite payment reminder in Gmail for your team to review and send.
MagayaGoogle SheetsGmail
Automated Magaya Document Collection Chaser
Every morning, WebRun checks Magaya for shipments with incomplete document sets, identifies what is still missing, and sends a polite chaser email draft to each responsible party for your team to review and send.
MagayaGmailGoogle Sheets
Automated Magaya Agent Network Status Digest
Every Monday, WebRun pulls open shipments in Magaya that involve overseas agents, groups them by agent, and posts a status digest to Slack so your team knows exactly what is in-progress at each partner location.
MagayaSlackGoogle Sheets
Automated Fleetio Vehicle Registration Renewal Tracking
Every Monday, WebRun scans Fleetio for vehicles whose registrations expire within 60 days, compiles the renewal list by state and due date, and posts it to Slack so your team can file renewals well before the deadline.
FleetioGoogle Sheets
Automated Fleetio Fleet Recall Watchlist
Every Monday, WebRun cross-references your Fleetio vehicle list against NHTSA recall data for each make, model, and year, flags any vehicle with an open recall, and logs the watchlist to Google Sheets so your fleet team can schedule the repair.
FleetioGoogle Sheets
Automated Fleetio Fuel Economy Outlier Report
Every Monday, WebRun pulls fuel economy data from Fleetio, compares each vehicle against its class average, flags outliers that are burning significantly more fuel than expected, and logs the report to Google Sheets for your fuel manager.
FleetioGoogle Sheets
Automated Fleetio Asset Utilization Report
Every Monday, WebRun pulls asset utilization data from Fleetio, calculates each vehicle's active hours or miles as a percentage of available capacity, and logs the ranked report to Google Sheets so your fleet planner can right-size the fleet.
FleetioGoogle Sheets
Automated RightCapital RMD Deadline Tracking
WebRun scans RightCapital for clients with upcoming required minimum distribution deadlines, flags anyone at risk of a missed RMD, and posts your team a Slack alert so distributions are taken on time.
RightCapitalSlackGoogle Sheets
Automated RightCapital Risk Tolerance Review Tracking
WebRun scans RightCapital for clients whose risk tolerance assessment is more than 12 months old or has not been completed, flags each in a Google Sheets tracker, and posts your team a Slack digest for follow-up.
RightCapitalGoogle SheetsSlack

Want one of these running on your own Google Sheets?

Show WebRun the process once and it will run it on schedule, in your own private browser environment.