How to Scrape Google Maps Across Multiple Cities Without Coding

A web design agency looking for coffee shops in Austin and Round Rock needs more than two lists of names. It needs to know which records describe different shops, which describe the same location, and which fall outside the intended market.
To scrape Google Maps across multiple cities without coding, keep the business type consistent, prepare one search for each area, and run those searches separately. BrowserAct's Local Lead Finder handles the public-page collection. You then combine the records, retain their search sources, and review duplicates before using the list for prospecting.
BrowserAct removes the need to write scraper code. Deciding which locations belong in your market remains your job.
Key Takeaways
- Keep the industry consistent and preserve the area used for each search. Otherwise, a merged list loses its origins and becomes harder to compare across markets.
- Merge repeat discoveries of the same business location, but do not delete separate branches just because they share a name, phone number, or website. Review uncertain matches first.
- Search area, business address, and service area are different information. Check them before moving records into further prospect research rather than directly into mass outreach.
Plan One Niche Across Your Target Cities
Start with the same business type in each area. An agency offering coffee-shop websites can use coffee shops in both cities, then investigate website needs separately. Mixing restaurants, dentists, and contractors would make the lists harder to compare.
Keep the Search Term Consistent
Here is an example search plan, not a report of completed runs:
Business type | Search area | Google Maps search | Collection limit |
Coffee shops | Austin, Texas, United States | coffee shops in Austin, TX | Use the same sample limit |
Coffee shops | Round Rock, Texas, United States | coffee shops in Round Rock, TX | Use the same sample limit |
Search each phrase in Google Maps and save its search link beside the row. Include the state and country to avoid ambiguous city names. Keep the query wording and collection limit consistent, but treat the results as discovery samples, not a census of each city.
Decide When to Split a City into Smaller Areas
If a city search is too broad for your sales territory, try a neighborhood or postal-code query and inspect the returned locations.
A ZIP code in the query is not a strict geographic filter. Nearby results and overlapping searches still need review. Save each smaller search separately so you can trace repeat discoveries; splitting an area does not guarantee complete coverage.
Run Each Google Maps Search Without Building a Scraper
The no-code route here is one Google Maps search per task, followed by spreadsheet review across tasks. BrowserAct's Google Maps Local Lead Finder collects public results and opens place details for business information. The broader guide explains how to choose the right Google Maps data depth.
Copy the Search URL into BrowserAct
Open the template's Run Task tab. Paste the Google Maps search-results link into target_url, and set max_results to the maximum number of business records you want from that search.
Start with Austin, review its result, then run a separate task with the Round Rock link and the same limit. The limit is a ceiling: available results, access conditions, and task outcome affect what comes back. You need a BrowserAct account to run the template and view task history. This route collects public Maps information, not private business data.
Check the First Result Before Repeating
Open a few source listings and check their business type, address, and corresponding Maps link. If the sample is off-target, revise the query before repeating it elsewhere.
Keep names, categories, public phone numbers and addresses where available, plus the original Maps links. Preserve any additional returned fields; leave unavailable information empty rather than guessing.
Optional: Use Codex with BrowserAct CLI
If you already use Codex, BrowserAct CLI provides another way to work with public pages. Its official browser skill supports browser navigation, interaction, and extraction with compatible agents, including Codex.
Give the agent your area plan and ask for one business per row, preserved search sources, and uncertain matches flagged for review. This route needs setup and checking; it is not a built-in multi-city switch. Start with the template if you do not already use an agent environment.
Merge the Records Without Losing Their Source
Combine results in one working sheet, with one business per row and matching column names. Leave an extra field empty where it was not returned; never shift values into neighboring columns. For file preparation, see exporting Google Maps records to CSV.
Keep Search Area Separate from Business Address
Add search_area, source_search_url, and collected_on before combining records. These are your organization columns, not automatic template fields. Fill the search area from your plan, not from the business address.
Suppose a Round Rock search includes a shop with an Austin address. The search area remains Round Rock; the business address remains the address shown by the listing. Replacing one with the other would hide the very mismatch you need to review.
Preserve multiple discovery sources in a readable text cell or a separate source log, while keeping each business in its own row.
Preserve the Original Records
Keep a raw copy and a working copy. Add review_decision and review_reason to the working copy so a colleague can understand why a record was kept, merged, or set aside.
Trim stray spaces if needed, but preserve meaningful address differences, including suite numbers. Keep originals beside edited values. If two tasks return conflicting details, check the source listing before choosing a value.
Remove Duplicate Records Without Deleting Branches
Deduplicate at the business-location level before treating rows as separate prospects. A repeated discovery of one shop and two branches of one brand require different decisions.
Match the Same Listing, Not Just the Same Brand
Use the following rules to guide review, rather than deleting every row with a repeated name:
What you see | What to do | Why |
Same Maps listing, matching name and address, found in two searches | Merge after confirming the location; retain both search sources | Two discoveries do not necessarily mean two prospects |
Same brand, different addresses and distinct place listings | Keep the branches separately | Shared branding does not make locations duplicates |
Shared phone number or website, but location details differ | Review before merging | Branches can use central contact information |
Missing address or conflicting place details | Keep in a review queue | There is not enough information for a confident merge |
Keep the original Maps URL. Matching links help identify duplicate candidates, but different URLs can still lead to the same place. Compare actual listing details before deciding; an edited or shortened URL is not a guaranteed unique identifier.
For a hypothetical example, suppose both city searches return the same place page, name, and street address. Keep one row with both sources. Two branches at different addresses stay separate, even if their corporate website matches.
Keep Uncertain Matches for Review
Work on a copy rather than removing rows from the original:
- Sort by the original listing link and inspect repeated groups. Check similar names and addresses where links differ.
- Confirm that a group describes the same location before choosing a row to retain.
- Copy every discovery source into that row or its source log. Keep conflicting values for source-page review; do not silently overwrite them.
- Move confirmed duplicate rows into an archive sheet. Mark unresolved groups for review and leave them out of outreach until checked.
Use Keep, Merge after review, and Review in review_decision, with a short explanation in review_reason. These are spreadsheet decisions, not automatic classifications from BrowserAct.
Review the List Before Expanding to More Areas
Check location fit and missing information before adding more searches. A longer sheet is not necessarily a better prospect pool.
Check Location Fit and Missing Details
For businesses customers visit, compare the visible address with your target area and set off-area listings aside.
For plumbers or cleaners who travel to customers, check the public profile or website for stated service areas. Google's service-area guidance says businesses that do not serve customers at their address should remove it from their profile. A missing street address alone is not a reason to reject them.
If their connection to your market remains unclear, retain them for review. Appearing in a city search does not prove they operate there. Likewise, reopen the public listing before deciding how to contact a business with missing extracted details: an empty phone or website field is not evidence that the business lacks one.
Separate Discovery from Sales Qualification
A reviewed list can tell you which businesses merit further research. It does not tell you which owners want your service or have the budget to buy it.
The web design agency still needs to demonstrate a website problem, not merely find the shop in two searches. See reviewing local business leads before outreach for that next stage.
Before collecting or using records, check the source's access and reuse conditions. Use public contact information responsibly; a visible listing is not an invitation to send indiscriminate messages.
When you scrape Google Maps across multiple cities, the useful outcome is a list whose locations and discovery sources are understandable. Start with two areas, resolve the overlaps you find, and only then expand the same method to the next area.
Frequently Asked Questions
Can I run several cities in one BrowserAct template task?
The Local Lead Finder route described here takes one Google Maps search-results link in target_url and a limit in max_results. Prepare a separate task for each area, then combine the results. Do not assume that pasting a list of cities into the URL field creates separate searches.
Can I use ZIP codes instead of city names?
You can try a postal code in the Google Maps search, inspect the returned listings, and use that search link for collection. The query text does not establish a strict ZIP-code boundary or complete coverage. Check addresses and review overlap with neighboring searches.
Why does a business appear in more than one city search?
The same business may appear in searches for adjacent areas or because it serves customers beyond its physical location. Check whether the records lead to the same place listing. If you confirm a repeated discovery, retain one business row and preserve each search source.
Should businesses with the same phone number or website be merged?
Not on that evidence alone. Separate branches can share a corporate website or central phone number. Compare the place listing, name, address, and branch information before merging. Keep distinct locations separate and leave ambiguous matches for review.
How should I review a service-area business with no visible address?
Check the areas named in its public profile or website rather than guessing an address. An intentionally hidden street address can be appropriate for a business that travels to customers. Keep it marked for review until you can establish whether it serves your target area.









