Google Maps to Google Sheets: A Business List Workflow
Build a shared review sheet with safe imports, clear ownership, and useful filter views.
Google Sheets is useful when several people need to review a local business list together. One person can check websites while another confirms service areas, provided everyone is working from the same records and understands which columns are observations and which are decisions.
GBP Sweep does not automatically sync with Google Sheets. You collect listings in Chrome, export a CSV, and import the file yourself. That transfer matters: the extension keeps the collection in your browser, while uploading a file to Sheets places a copy in the Google account you choose. This guide covers a deliberate import and a review structure that stays readable as people add notes.
Start with a list that has a clear scope
Before exporting, choose the intended search list in the extension and inspect the active filters. If the project covers local florists, do not include every category saved in the browser. If you need listings without recorded phone numbers for later research, do not apply a Has phone filter and accidentally remove them.
Write a short definition for the sheet, such as “Florist storefronts in the delivery territory; one row per location; supermarket flower departments excluded.” Use a fictional territory for practice, or try the sample CSV, which contains twelve fictional businesses and all 23 export fields.
Download the actual CSV before inviting collaborators. Keep the original file in a separate folder. It gives you a clean starting point if an import converts an identifier or someone pastes over a source column.
Import the CSV as a new sheet
Open a spreadsheet in the intended Google account and use File, Import, Upload to choose the CSV. Import into a new sheet rather than replacing an existing working table. Choose comma as the separator if it is not detected. Google's file import help describes the supported import workflow.
Where the import dialog offers conversion of text to numbers, dates, and formulas, turn that conversion off for an initial data-preserving import. Phone numbers, postal codes, and long CID values should stay as text. You can convert selected analysis columns later without risking the identifiers.
Check the loaded headers against the export: Name should be first and Collected at last, with 23 columns in total. Inspect a phone number, a postal code, and a CID against the original CSV. If the import has changed them, delete that imported tab and start again with the conversion settings corrected.
Keep raw data separate from team decisions
Rename the imported tab Raw and make a working copy named Review. Keep the Raw tab unchanged. If several editors have access, protect the source range from accidental edits or agree that only the list owner updates it.
In Review, add a small set of columns after the exported fields. Too many status columns make people stop updating them. For a florist partnership list, these can be enough:
| Added column | Example value | Purpose |
|---|---|---|
| Reviewer | Sam | Assign one person to the check |
| Decision | Review needed | Keep uncertain records visible |
| Reason | Outside delivery territory | Explain an exclusion |
| Checked on | 2026-10-17 | Date the manual review occurred |
| Next step | Confirm delivery coverage | Record one specific task |
These are suggested project fields, not columns generated by the extension. Use a short agreed set of Decision values, such as Include, Exclude, and Review needed. Leave the collected Website field intact even if you add a separate verified website later.
Create filter views for different reviewers
A shared sheet can become confusing when one person's filter hides the rows another person needs. Google Sheets supports filter views that apply to an individual view and can be saved or shared. See Google's sorting and filtering instructions for the current controls.
Create a view for each actual task: Sam's unreviewed records, included storefronts in one city, or records that need a website check. Name each view after the work it contains. Avoid making ten slightly different filters that nobody can distinguish.
When sorting, include every column in the record, including your added notes. Sorting the exported columns while leaving review notes behind would assign those notes to different businesses. Check a familiar business after changing the range. A quick visual check can catch a mistake before several people continue editing.
Use formulas to flag work, not invent facts
A simple helper column can flag a blank collected website. With the unmodified export order, Website is column H, so =IF(H2="","Check website","Link recorded") provides a review label. Adjust the reference if you have moved columns. The result says what the sheet contains; it does not determine whether a website exists elsewhere.
You can also count decisions for a progress summary. If Decision is in column Y, =COUNTIF(Y2:Y,"Include") counts included rows. Keep the formula outside the table or on a Summary tab, and label what it counts. An included location is not necessarily a contacted business or a qualified sales opportunity.
Do not turn rating and review count into a confident buying score without checking whether those signals relate to your service. A florist with few reviews may be new, poorly represented on Maps, or simply less reviewed. The sheet cannot distinguish those explanations from the count alone.
Share the file with a defined audience
Check the sharing settings before sending a link. Give edit access to people who need to update the review; view access may be enough for someone reading the finished list. Public link sharing is a separate decision from storing a collection locally in Chrome.
Keep account details, license keys, and unrelated personal notes out of the sheet. GBP Sweep does not require you to place any credentials in an export. If the project includes manual outreach records later, decide who needs those records and how long the team should retain them.
For a client handoff, add a short notes tab explaining the searches, geography, collection date, exclusions, and known gaps. A spreadsheet with a clear selection method is easier to use than one with an impressive row count and no explanation.
Add later batches without overwriting review work
Import a later CSV into a new raw tab and compare it with the existing list using listing identifiers and source links. Keep separate locations even when they share a website. Review possible name changes rather than assuming a different name means a new business.
Carry manual decisions forward by identifier where possible, not by row position. Keep a batch log if you need to know every search that was run: the export's Source search is the first recorded source, not a full search history. The lead qualification guide explains which checks belong after collection.
When the review is complete, preserve the original import and a dated working version. The browser storage guide explains the difference between the local extension collection, exported files, and copies you choose to store in another service.