The Problem With Getting Sheet Data In and Out of TPSCheck
You have an Excel workbook full of UK phone numbers — prospect lists, form submissions, purchased databases — and you need to know which ones are registered on the Telephone Preference Service or Corporate TPS before your outbound team dials a single one.
TPSCheck is good at answering that question fast and at scale. But the default way people interact with it is one number at a time through a browser interface or a raw API call. When your workbook has 3,000 rows and a campaign launch date, that default becomes a wall.
Below are the four common ways teams handle this. Only the last one scales.
Method 1: Manual Copy-Paste
The most common starting point for Excel users is exporting the phone column to CSV, uploading it somewhere that accepts bulk lookups, and importing the results back. On a good day that's four manual steps. On a bad day the export format breaks the importer and you start over.
The specific grind with TPS data is that the result is binary — registered or clear — but you also want the number type, the carrier, the geographic region. So each run produces four columns of data you need to re-join to your original workbook. And because TPS registration can change monthly, any list you screened three weeks ago needs to be re-screened before the next campaign. That monthly cycle is where this approach completely falls apart.
Method 2: Power Automate
Power Automate can connect to TPSCheck via its HTTP connector. You set up a flow triggered by a new row in your Excel workbook — stored in OneDrive or SharePoint — call the TPSCheck API, and write the response fields back to adjacent columns.
Before you go further — a quick check: have you worked with HTTP connectors in Power Automate before? Does configuring an API request body in JSON feel familiar? Have you mapped response fields to Excel column names manually? If those questions don't land clearly, this isn't your fastest path. Method 3 or 4 will serve you better.
If you're still here, the setup is real work. You authenticate the HTTP connector, build the request for the TPSCheck endpoint, handle the JSON response, map each field to the right column, and test with a live number. The flow runs.
But it processes one number per trigger fire.
A workbook with 5,000 rows means 5,000 flow runs. Power Automate's per-run costs add up fast at that scale — and when a run silently fails at row 412 because the number format doesn't match the expected input, the rest of the list processes as if nothing happened.
You probably just need to know which numbers to pull before the campaign goes out. You probably have no idea how to set up a Power Automate HTTP connector — and you shouldn't have to. So you push it to the one person on your team who understands it, and now you're waiting while the deadline moves closer.
Method 3: The Previous Generation — Connector Add-Ons
Until recently, the best option for repeatable workbook ↔ TPSCheck workflows was a category of add-ons that let you configure column mappings against an API endpoint, save a template, and run it on demand. You'd pick your range, tag your fields, save the config, run the check.
That was a real step up from the export-import cycle. The output was consistent, the template was reusable, and your team didn't have to redo the field mapping every run.
But you were still responsible for designing the template, mapping each output field to the right column, writing the filter logic to separate TPS-registered from clear numbers, and maintaining the config every time your workbook structure changed. The tool moved the data; the thinking was still entirely on you. And when someone renamed a worksheet or added a column, your config broke silently.
This is the previous generation. It worked, but it asked a lot of the operator.
The Easy Way: Using SheetXAI in Excel
There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're looking at, and through its built-in TPSCheck integration it can screen, classify, and flag your phone numbers without any template setup. You just ask.
Example 1: Bulk TPS screen before a campaign
Screen all phone numbers in column A of my Excel sheet with TPSCheck and flag any TPS-registered number with 'DO NOT CALL' in column B — write the number type and location info into columns C and D for the rest
SheetXAI runs the check across the full column, writes "DO NOT CALL" for registered numbers and "clear" for others in column B, and fills in line type and region data for every valid non-TPS entry in columns C and D.
Example 2: Combined validation and classification
Take all phone numbers in column A of my "Prospect Database" sheet, check each one with TPSCheck, and write 'valid' or 'invalid' into column B, the line type into column C, the network into column D, and 'TPS' or 'clear' into column E — then count the TPS-registered numbers and put the total in cell G1
The pattern: instead of screening and then summarizing as two separate operations, you ask for the check, the classification, and the summary count in one prompt. SheetXAI handles all three in sequence.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with UK phone numbers, then ask it to screen the list against TPSCheck and write the results back. The TPSCheck integration is included in every SheetXAI plan.
More TPSCheck + Excel guides
Bulk Screen UK Phone Numbers Against TPS Before a Calling Campaign From a Google Sheet
Screen thousands of UK phone numbers against the TPS and CTPS registers in one pass before your outbound campaign launches.
Enrich UK Phone Numbers With Carrier and Line-Type Data From a Google Sheet
Validate UK phone numbers, identify mobile vs. landline, flag TPS-registered entries, and pull carrier metadata into your spreadsheet in a single pass.
Clean and Classify a Large UK Phone Number List in a Google Sheet Using TPSCheck
Run a single-pass cleanup on thousands of raw UK contact numbers — removing TPS entries, invalid numbers, and duplicates — before handing the list to a client.
