Can I scrape Google Maps without coding?

Yes. Browser extensions, hosted cloud scrapers, spreadsheet add-ons and automation tools all let you type a search and a location and download the results as a spreadsheet, with no code. They differ mainly in how many results they return, which fields they include and how they charge.

What is the easiest no-code way to scrape Google Maps?

A dedicated Google Maps extension or cloud scraper: you enter something like "plumbers in Denver", run it, and download an Excel or CSV file. Generic point-and-click scrapers also work, but you have to clean up the columns yourself.

Why does my no-code scraper stop at around 120 results?

Google Maps shows roughly 120 places for one search. A tool that reads a single search inherits that cap. Getting more means splitting the area into smaller cells and de-duplicating by place_id, which only some tools do.

Do no-code Google Maps scrapers get email addresses?

Maps listings have no email field, so emails come from crawling each business's own website. Some tools include that crawl, some bill it separately, and generic extensions don't do it at all.

Is the Google Places API a no-code option?

Not really. It needs an API key, a billing account and code or an automation tool to call it and handle pagination. It suits developers building apps more than people who want a one-off lead list.

Scrape Google Maps Without Coding: 6 No-Code Options Compared

Yes, you can scrape Google Maps without coding. The no-code options are: copying by hand, a generic point-and-click scraping extension, a dedicated Google Maps extension, a hosted cloud scraper where you fill in a form, a spreadsheet add-on, or an automation tool such as Make. All of them take a search ("dentists in Austin") and give you a spreadsheet. What separates them is whether they get past Google's ~120-results-per-search cap, whether emails are included, how much cleanup the export needs, and whether you know the cost before you run the search.

Most guides on this topic are written by one vendor and recommend that vendor. This one compares the six routes by how they work, including our own, and says where each runs out.

The six no-code routes at a glance

Route	How you use it	Results per search	Emails	Cleanup needed	Best for
Copy by hand	Click each listing, paste into a sheet	As many as you can stand	No	None, but slow	Under 50 businesses
Generic scraping extension	Open Maps, click the extension, it detects the list	~120 (the visible list)	No	High: raw, mixed columns	A quick one-off grab
Dedicated Maps extension	Search in Maps or in the extension, export	~120, or more if it splits the area	Depends on the tool	Low	Regular lead lists
Cloud scraper with a form	Enter keyword and location on a website, run, download	Depends on the tool; some split the area	Often an add-on	Low	Large areas, nothing running in your browser
Spreadsheet add-on	Formulas or a sidebar that call a data API	Limited by the API's paging	Usually no	Medium	People who live in Sheets
Automation tool (Make, n8n, Zapier-style)	Build a scenario that calls a scraper or API and writes rows	Limited by the scraper or API behind it	Only if a step adds it	Medium	Recurring, scheduled pulls

The Google Places API isn't on the list on purpose. It is Google's official data source, but using it means an API key, a billing account and code (or an automation tool) to call it and page through results. Google's Text Search (New) documentation says a single request returns at most 20 places. Our guide to scraping Google Maps covers the API route for developers.

1. Copy by hand

Search Maps, open each listing, copy name, phone, website and address into a sheet. There's no tool to trust and no cost.

It also takes about a minute per business once you include the website and phone. Fine for a shortlist of 20 to 50 businesses; beyond that, your time costs more than any tool below.

2. Generic point-and-click scraping extensions

These are browser extensions built to scrape any page that contains a list or table. On Google Maps, they detect the results panel and turn it into rows you can download.

They're free or cheap and need no setup. The trade-offs:

You only get what's visible in the list. Phone and website often appear only in the details panel, which a generic tool doesn't open.
Columns come out raw. Rating, review count and category can end up in one cell, and class names become column headers. Our Excel export guide covers the usual fixes.
You inherit the 120 cap. One search, one scroll, roughly 120 places. The extension won't tell you how many it missed. Why Google Maps stops at 120 results explains the cap.

3. Dedicated Google Maps extensions

A Maps-specific extension knows the page structure, so it opens each listing and fills proper columns: phone, website, full address, rating, reviews, hours. This is the most common no-code route for lead lists.

What to check before installing one:

Permissions. A Maps scraper needs access to Google Maps pages. Access to every site you visit needs a reason. Our Chrome extension checklist goes through which warnings are normal.
What happens at 120. Ask whether it splits the area into smaller searches and removes duplicates, or stops at the first 120.
What happens when Google changes the page. Extensions with parsing rules baked in break until a new version clears store review. Tools that load parsing rules as configuration can be fixed without an update.
Whether it runs in your browser. A big search can tie up your browser for a long time. A cloud fallback avoids that.

4. Cloud scrapers with a form

Here you don't scrape in your own browser at all. You open a website, enter a keyword and a location (sometimes a radius, a polygon or a list of cities), click run, and download the file when it finishes. Platforms like Apify offer Google Maps scrapers you configure through a form, and visual scraping tools like Octoparse provide Google Maps templates. Octoparse's own guide says its approach splits regions geographically to get past the ~120 cap.

Cloud scrapers are the most scalable no-code route, because the work runs on someone else's servers and can cover a whole city. What to watch:

Pricing model. Some charge per result, some per compute time, some per add-on (contacts, reviews, photos). A search's cost can be hard to predict until it finishes.
Configuration depth. General platforms have many options. Useful if you know what you want, slow if you don't.
Output format. Check that you can get a clean Excel or CSV and not only JSON.

For a direct comparison, see MapScraper vs Apify.

5. Spreadsheet add-ons

Some search-data API providers offer a Google Sheets extension: you type a formula or use a sidebar, and the results land in the sheet. SerpApi, for example, offers a Sheets extension and a "No Code SERP API" that exports Google Maps results to XLS.

SerpApi's own blog lists the trade-offs worth knowing about. Its no-code export doesn't let you choose fields, doesn't support every search parameter and has no Photos support. With the Sheets extension, searches re-run whenever the sheet is opened, which can use up your search allowance faster than you expect. Both need an account with the provider first.

This route suits people who want results inside a spreadsheet and are comfortable with formulas. You still have to deal with paging and the per-search cap yourself.

6. Automation tools (Make, n8n and similar)

Automation platforms connect a scraper or data API to your other apps. A typical scenario: every Monday, run a Maps search for "roofers in Tampa", add new rows to a Google Sheet, and push them into your CRM.

It's no-code in the sense that you drag modules instead of writing scripts, but you're still building a pipeline. You need to handle errors, avoid adding the same business twice, and keep track of what each run costs. SerpApi's guide notes that its Make module can be slower and that error messages can be cryptic. Automation tools are worth it for recurring pulls. For a single list, a scraper with a download button is faster.

A no-code workflow that works with any tool

Whichever route you pick, these steps give you a usable list on the first try.

Write a narrow search. One category and one city: "physiotherapists in Leeds", not "health businesses in England". Narrow searches are cheaper and easier to check.
Find out the size before you run it. Use a tool that tells you how many results the search contains before it spends anything. If yours can't, run the smallest version first.
Decide which columns you need. For cold calling: name, phone, address, hours. For email: website and email. For agencies: website, rating, review count and claim status. Our field reference explains each Google Maps field.
Run the search and check for the 120 wall. If the result is close to 120 for a big city, you got a sample, not the whole market.
De-duplicate on place_id. Name and address aren't reliable keys: chains share names and addresses are written in different ways.
Add emails if you need them. Maps doesn't list emails. They come from the business's website. See how to extract emails from Google Maps for what that crawl finds and misses.
Filter before outreach. Rating, review count and whether a business has a website are better filters than volume. Businesses without a website are a common starting point for web agencies.
Spot-check ten rows. Open ten businesses on Maps and confirm phone, website and address match. If they don't, fix the source before you contact anyone.

Common mistakes with no-code scrapers

Assuming the export is complete. A 120-row file for "restaurants in Chicago" is the first 120, not the list.
Paying for emails twice. Check whether emails are included before you build an email campaign on a tool's free tier.
Running a city-wide search without knowing the cost. Per-result pricing plus a big area can produce a surprise bill.
Ignoring duplicates from overlapping searches. Searching "dentist", "dental clinic" and "orthodontist" separately returns many of the same businesses.
Scraping in your main browser profile all day. Long automated sessions can trigger CAPTCHAs. Spread big jobs out or use a cloud mode.

Is it legal to scrape Google Maps?

Business listings on Maps are public, but Google's terms restrict extracting Maps content, and data-protection laws such as the GDPR apply to how you store and use contact details, especially for sole traders whose business details identify a person. No-code doesn't change any of that. This is general information, not legal advice. Check the rules where you and your contacts are based.

Where MapScraper fits

MapScraper is a dedicated Google Maps (and Bing Maps) tool that runs as a Chrome and Edge extension, a cloud scraper and an API, all on one account and one lead balance. For the no-code use case specifically:

You type a search and a place. No templates, selectors or scenarios to build.
Counting is free. A pre-count tells you how many businesses a search will return before anything is deducted, exactly when the area is small enough, as a range when it isn't.
It goes past 120. Deep scan splits the area into a quadtree of cells and de-duplicates by place_id. Deep scan comes with any lead pack (from 1,000 leads for $5).
Emails are included on every plan, crawled from each business's website.
Clean exports. Excel (.xlsx), a 13-column CSV, the full 41-column CSV, or JSON.
You pay for delivered rows only. Stop a job early and you're charged for what it wrote. Unused leads roll into next month.
Parsing rules update without an extension update, so a Google page change is fixed by publishing new rules, not by waiting for store review.

If you want to see what an export looks like for one trade before running anything, the plumber leads page shows the columns for that category.

Summary

You can scrape Google Maps without code through six routes: hand copying, generic extensions, dedicated Maps extensions, cloud scrapers, spreadsheet add-ons and automation tools.
Generic extensions are the quickest start but need the most cleanup and stop at ~120 results.
Dedicated extensions and cloud scrapers give clean columns. Only some split the area to get every business.
Spreadsheet add-ons and automation tools suit recurring pulls, but you still handle paging, duplicates and cost yourself.
Before any big search: know the result count, check that emails are included, and de-duplicate on place_id.

To try the no-code route on a real search, MapScraper's pre-count is free, and the launch offer of 1,000 leads for $5 (emails included, one-time, the leads never expire).