How to Export Google Maps to CSV (2026 Guide)

Anyone who has tried to pull a list of local businesses out of Google Maps runs into the same wall fast: there's no "export to CSV" button. You can save a place to a list, share a pin, or screenshot a results panel, but Google gives you no native, built-in way to turn a search — "dentists in Austin," "coffee shops in Denver" — into a spreadsheet. This guide covers why that gap exists, the manual and semi-automated ways people work around it, and when a purpose-built scraper is worth the switch from copy-paste.

Why Google Maps has no native bulk export

This isn't an oversight — it's a deliberate product boundary. Google Maps is built as a consumer navigation and discovery product, not a business intelligence tool, and bulk-exporting listings competes directly with Google's own paid data products (Google Places API, Google My Business insights) and with how advertisers are meant to reach local businesses. Google does offer the Places API, which lets developers query listing data programmatically, but it's priced per request, rate-limited, and designed for looking up specific places your app already knows about — not for dumping "every business matching this search" into a spreadsheet in one call.

The practical result: if you want a CSV of Google Maps listings, you're either doing it by hand, using a browser tool that automates the copy-paste, or querying the Places API directly and accepting its cost and rate limits. There's no fourth option where Google just hands you the export.

Method 1: Manual copy-paste

Works fine for a genuinely small list — ten or fifteen places for a one-off project.

1. Run your search (e.g., plumbers in Phoenix).
2. Click into each listing in the results panel.
3. Copy the name, address, phone, and website into a spreadsheet by hand.
4. Repeat for every result.

This is fully reliable in the sense that you're reading exactly what Google shows you, and there's no risk of a scraper breaking against a page change. It's also unworkable past a few dozen listings — a search that returns 100 results means 100 rounds of click, read, copy, paste, and most searches worth doing return more than fifteen results.

Method 2: Browser extensions

A tier up from manual copy-paste: extensions like Instant Data Scraper, Web Scraper, or Maps-specific scraping plugins that scroll the results panel automatically and pull structured data (name, category, address, phone, rating, website) into a downloadable CSV.

These genuinely save time over pure manual copy-paste, but they come with real limitations worth knowing before you rely on one:

• They break when Google changes the DOM. Extensions read the page's HTML structure directly, and Google periodically restyles the Maps interface. When that happens, the extension's selectors stop matching and it silently returns empty or garbled fields until it's updated.
• They cap out around what the results panel actually loads. Google Maps generally surfaces roughly 100-120 results per individual search, and an extension scrolling the panel can't get more out of a single query than Google itself is willing to render.
• They don't touch emails. A browser extension reads what's on the Maps results panel — name, address, phone, website, rating — and stops there. The website field is a link, not a contact; getting from that link to an actual email requires a separate crawl step no extension does for you.
• No validation. Whatever comes out is unverified. Phone numbers might be disconnected, websites might be dead, and if you do manually chase down emails afterward, nothing checks whether they're deliverable.

Fine for a mid-size, one-off pull where you're willing to do cleanup afterward. Not a complete solution if emails and validated data are the actual goal.

Method 3: The Places API directly

For developers comfortable writing code, Google's Places API (Text Search or Nearby Search endpoints) returns structured JSON for listings matching a query, which you can then transform into a CSV yourself. This is the most "official" route and avoids scraping the rendered page entirely.

The trade-offs are real, though: usage is billed per request past a modest free tier, results are still capped similarly to what the consumer UI shows for a single query, and the API returns what Google classifies as public listing data — not emails, since Maps listings don't carry emails as a field at all. You're trading scraping-fragility for API cost and rate limits, and you still end up needing a separate step to go from "website URL" to "contact email."

Method comparison

Method	Effort	Scales past ~100 results	Gets emails	Validates data
Manual copy-paste	High, per listing	No	No	No
Browser extension	Low to start, breaks often	Only via repeated city queries	No	No
Places API	Requires dev work, per-request cost	Only via repeated queries	No	No
Dedicated scraper (Outsoci)	None	Yes, via multi-query batching	Yes	Yes

Getting past the ~100-result ceiling

Whichever method you use, a single Google Maps query tends to plateau around 100-120 results, and that ceiling is a property of the search itself, not a limitation of the extraction method. The workaround is the same regardless of tool: break broad searches into narrower ones. "Restaurants in Texas" returns a capped, arbitrary slice; "restaurants in Austin," "restaurants in Dallas," "restaurants in Houston," and so on each hit their own ceiling, and the sum across cities or neighborhoods is far larger than one broad query could ever surface. If your territory is a full state or country, plan your searches around cities or zip codes from the start rather than discovering the cap after the fact.

Going from listings to a CSV with emails

Here's the part every manual and semi-manual method above stops short of: a Google Maps listing itself never includes an email address as a field. What it gives you is a website link, and getting from that link to a usable contact means crawling the site's homepage, contact page, and footer for a published address, or falling back to a pattern guess that then needs verification. Doing that by hand across a few hundred listings is a full day of repetitive browser tabs.

This is the specific gap Outsoci's Google Maps scraper is built to close. It runs the search, paginates through results the way a multi-city strategy would, visits each listing's website, extracts a contact email, runs it through verification, and exports the whole thing — name, category, address, phone, website, rating, and verified email — as one clean CSV. Where a browser extension or the raw Places API hands you half the data and stops, this hands you a list ready to load into an outreach tool. The $1 trial includes 100 credits, enough to test it against a real search before committing further. Our deeper guide, How to scrape Google Maps for leads, walks through the full six-step process this scraper automates, including how to validate and dedupe the result.

Which method actually fits your situation

• Under 20 listings, one-off need. Manual copy-paste is genuinely fine here — the setup cost of any tool exceeds the time it takes to do it by hand.
• A few hundred listings, willing to do your own email cleanup. A browser extension gets you the structured fields fast; budget separate time for crawling websites and validating whatever emails you find.
• You already have engineering resources and want an official data source. The Places API is the defensible, ToS-compliant route, provided you accept per-request billing and build your own export logic on top of the raw JSON.
• You need hundreds or thousands of listings with working emails, on a recurring basis. This is where a dedicated scraper earns its cost — the manual and semi-manual routes all stop short of emails and validation, which is usually the actual point of building the list in the first place. If you're comparing tools at this stage, Best lead scraping tools in 2026 covers how the main options rank on accuracy, source coverage, and price.

What "Google Maps to Excel" usually means in practice

People searching for "Google Maps to Excel" are almost always after the same outcome as "Google Maps to CSV" — a spreadsheet is a spreadsheet, and CSV is the universal format every scraper, Excel, Google Sheets, and CRM import tool accepts without friction. If you're specifically working in Excel:

• Any CSV export opens directly in Excel with Data > From Text/CSV, or simply by double-clicking the file if Excel is your default CSV handler.
• Watch for encoding issues with special characters (accented names, non-Latin business names) — importing via Data > From Text/CSV and explicitly selecting UTF-8 encoding avoids the mangled-character problem a plain double-click sometimes causes.
• If you plan to filter, sort, or run formulas against the data, keep the header row intact on export so Excel recognizes each column correctly rather than treating row one as data.

A realistic example

Say you're building a list of independent gyms across three mid-size cities to pitch a scheduling app.

1. Run three separate city queries — "independent gyms in Raleigh," "independent gyms in Charlotte," "independent gyms in Greensboro" — instead of one statewide search, since a single query would plateau around 100-120 results and blend all three cities' worth of listings into one capped batch.
2. Each city query returns roughly 60-100 listings → around 250 raw results combined.
3. Filter out chain locations you're not targeting (national gym brands) → roughly 150 independent gyms remain.
4. Visit each website, extract a contact email from the contact or about page, and validate it → typically 90-110 deliverable addresses, since not every small gym maintains an up-to-date site or publishes a working email.
5. Dedupe on domain (some gyms run multiple locations under one site) → around 80-95 unique businesses.

That's an afternoon's work done manually with a browser extension and separate email lookups, or a few minutes with a tool that runs the whole pipeline in one pass. Either way, the shape of the process — narrow the search, filter, extract, validate, dedupe — stays the same.

Handling duplicates and multi-location businesses

Splitting a broad search into city-level queries solves the results-cap problem, but it introduces a new one: overlap. A business near a city border, or a chain with locations in both cities you searched, shows up more than once across your combined results. Left undeduplicated, this means double outreach to the same business — a fast way to look like you didn't do your homework, and in a small local market, word travels.

Dedupe on domain first (the most reliable signal, since a business's website rarely changes even if its listed address does), then on business name plus city as a secondary check for businesses without a website. If you're combining exports from multiple methods — say, a manual pull for one city and a scraper export for another — normalize column headers and formatting before merging, since a mismatched "Phone" vs "Phone Number" column will silently create two separate fields instead of one when you combine spreadsheets.

Common mistakes to avoid

• Running one broad query and assuming that's everything. You'll get capped at roughly 100-120 results and miss most of your actual territory — break it into cities or neighborhoods.
• Treating the website field as the finish line. A website link is a pointer, not a contact — someone still has to crawl it for an email, and that step is where most of the manual effort actually lives.
• Skipping deduplication on multi-city pulls. Businesses near city borders or with multiple locations show up in more than one search; dedupe on domain or business name before you use the list.
• Emailing unverified addresses pulled from guessed patterns. A phone number and address don't guarantee a working email — verify anything you plan to send to.
• Assuming an extension will keep working indefinitely. Google changes its interface periodically, and a DOM-dependent tool with no maintenance behind it eventually breaks silently.

Key takeaways

• Google Maps has no native bulk export, and this is a deliberate product boundary, not an oversight — the closest official route is the paid, rate-limited Places API.
• Manual copy-paste works for a handful of listings; browser extensions scale further but break on interface changes and never fetch emails or validate data.
• A single query plateaus around 100-120 results regardless of method — split broad territories into city- or neighborhood-level searches to get real coverage.
• No method gets you an email directly from a Maps listing — that requires a separate step crawling each listing's website, which is where most of the manual labor lives.
• A dedicated scraper collapses search, pagination, email extraction, verification, and CSV export into one pass, which is worth it once you're past a few dozen listings.

FAQ

How do I export Google Maps listings to a CSV file? Google Maps has no built-in export button. Your options are manual copy-paste for a handful of listings, a browser extension that scrolls the results panel into a CSV, the paid Google Places API if you can write code, or a dedicated scraper that handles search, extraction, and export in one pass.

Can I export Google Maps data straight to Excel? Any CSV export opens directly in Excel — use Data > From Text/CSV and select UTF-8 encoding to avoid garbled special characters in business names. There's no separate "export to Excel" path; CSV is the universal intermediate format every tool accepts.

Why does Google Maps limit results to around 100 per search? Google caps how many results a single query surfaces, roughly 100-120 listings, regardless of extraction method — this is a property of the search itself. The workaround is to split broad searches (a state or country) into narrower city- or neighborhood-level queries and combine the results.

Does exporting Google Maps listings give me business emails? No — a Maps listing includes name, address, phone, website, and rating, but never an email as a field. Getting an email means crawling the website link in each listing's contact and about pages, or falling back to a pattern guess that then needs verification.

Are browser extensions for scraping Google Maps reliable? They work until Google changes its Maps interface, at which point DOM-dependent selectors stop matching and the extension silently returns empty or garbled fields. They also don't extract or verify emails on their own, so budget for a cleanup step afterward if that's the goal.

Is it legal to scrape Google Maps business listings? Scraping publicly available business information — names, addresses, public phone numbers, and websites — is broadly permissible in most jurisdictions, since it's data businesses publish to be found. The legal risk concentrates in how you use it afterward for outreach; see Is email scraping legal? for the full breakdown by region.