Google Maps is the largest directory of local businesses on earth — millions of listings with names, addresses, phones, websites, ratings and categories. Scraping it turns that directory into a spreadsheet you can actually work: a ready-to-call list of every dentist in Austin, every plumber in Chicago, every gym in a ZIP code. This guide walks through how to scrape Google Maps business data in 2026 — the methods, the limits, and how to get emails, not just listings.
What you can (and can't) extract from Google Maps
For each business listing, a Google Maps scraper can pull the public fields: business name, full address, phone number, website, category, star rating, review count, opening hours, place ID (Google's unique identifier) and exact coordinates. What Google Maps does not show directly is a contact email — that has to be discovered from the business's own website, which is where most scrapers stop and the better ones keep going.
The three ways to scrape Google Maps
1. The Google Places API (official, code required)
Google's own Places API returns listing data through a billed, rate-limited endpoint. It's compliant and reliable but requires code, charges per request, caps results, and returns no emails. Good for engineers embedding Maps data in a product; overkill and expensive for building a lead list.
2. A no-code Google Maps scraper (fastest for lead gen)
A dedicated scraper — a Chrome extension or cloud tool — lets you type a city + category, exports every matching listing to CSV, and (with the right tool) finds a contact email for each. No code, minutes to a list. This is the route most sales and marketing teams take. Tools like Scrupp's Google Maps scraper handle pagination, deduplication and email discovery for you.
3. A custom Python scraper (powerful, brittle)
Developers sometimes write their own Google Maps scraper in Python — there are open-source projects on GitHub — driving a headless browser through rotating proxies, parsing the HTML of each listing, and writing the dataset to JSON or CSV. It gives full control over the data extraction and every field and search query, but it's brittle: Google changes its markup, proxies get blocked, and you maintain the scraper forever. For a one-off lead list it's rarely worth it versus a ready-made tool.
4. Manual copy-paste (free, painful)
You can copy listings by hand, but Google Maps shows ~20 per search and there's no export — a city can hold hundreds of businesses. Fine for five leads, unworkable for five hundred.
How to scrape Google Maps step by step
- Define your search. Pick a category and location as you'd type it into Maps — "coffee shops in Seattle", "law firms in Miami, FL". The tighter the niche + geo, the cleaner the list.
- Beat the 20-result cap. Google Maps caps its UI at about 20 results per search. A good scraper splits your target area into smaller geographic tiles (quadrants or ZIP codes), searches each, then deduplicates by place ID — turning 20 visible results into every business in the city.
- Enrich for contact info. The listing gives you phone and website; to get an email you need the scraper to visit the business site and run email discovery. Verify those emails (SMTP) before you use them — public emails go stale.
- Export. Download a clean CSV (or push to Google Sheets / JSON), one row per business, deduplicated by place ID, ready for your CRM.
Is scraping Google Maps legal?
Scraping publicly listed business information — name, address, phone, website, coordinates, place ID — is generally legal because it's public data. Google's Terms of Service restrict automated querying, so responsible tools use proxies, rate limits and tiling to stay under detection thresholds. Any outreach to the emails you collect must comply with GDPR, CAN-SPAM and local marketing law. In short: collecting public business data is fine; how you contact people is what's regulated.
How to avoid getting blocked
- Don't hammer Google from a single IP — good scrapers rotate proxies and throttle automatically.
- Tile large areas instead of one huge query; smaller searches look natural and return more.
- Deduplicate by place ID so you don't re-pull the same business across overlapping tiles.
- Use a tool that manages the anti-detection layer for you rather than running a raw script.
Turning scraped Google Maps data into leads
Raw listings aren't leads until they're contactable and verified. The workflow that works: scrape the city + category, discover and SMTP-verify a contact email per business, then segment by category, rating or review count and reach out by email or phone. A Google Maps scraper that finds verified emails collapses that whole pipeline into a single export — which is the difference between a directory dump and a ready-to-call lead list. If you're comparing options, see our roundup of the best Google Maps scrapers for 2026.
Which fields matter most — and how to use them
A Google Maps scrape can return a dozen fields, but the ones that drive action depend on your goal. Here's how each field earns its place in the dataset:
- Business name + place ID — your primary key. Place ID is Google's unique identifier; deduplicate on it, never on name (two businesses can share a name).
- Website URL — the bridge to an email. No website usually means no discoverable email, but it's also a strong buying signal if you sell web design or Google Business Profile management.
- Phone number — the storefront line, ready for cold calling straight off the listing.
- Category — how you segment. "Dentists" and "orthodontists" are different pitches; scraping by precise category keeps your outreach relevant.
- Rating + review count — the intent signals. A 3.2-star business with 200 reviews needs reputation help; a 4.9-star business with 12 reviews is underexposed and ready to scale marketing.
- Coordinates (lat/long) — for mapping, territory planning, or joining the data with your own BI warehouse for geo-spatial analysis.
- Opening hours — useful for timing calls and spotting inactive or seasonal listings.
Google Maps scraping use cases in 2026
The same city-and-category export powers very different plays depending on who's running it:
Local lead generation
The most common use: agencies and SDRs pull every business in a niche + city, enrich with verified emails, and run targeted outreach. The tighter the segment, the higher the reply rate — a scrape of "HVAC contractors in Phoenix" carries a far more specific pitch than a generic list. This is the workflow the whole local lead generation with Google Maps playbook is built around.
Local SEO and competitive mapping
SEO consultants export every competitor's Google Business Profile in a target market — rating distribution, review velocity, category tags, unclaimed listings — and feed it into audit templates. Seeing the whole map at once reveals gaps a manual check misses.
Market and business intelligence
Analysts track category growth, rating benchmarks and market share across cities. Exporting coordinates + place ID lets them join Google Maps data with an internal warehouse for geo-spatial reporting — no scraping code to maintain in-house.
Franchise and multi-location audits
Brands with dozens of locations audit every profile for NAP (name, address, phone) consistency, hours and review response rates. A single export replaces what used to be hours of manual checking per city.
Free vs paid Google Maps scrapers
Free tools — browser extensions like Instant Data Scraper, or a free tier on a paid product — are fine for a first taste: a small one-off grab, a single neighborhood, a proof of concept. They break down at scale (no tiling past the 20-result cap, no dedup, no email discovery) and on data quality. Paid scrapers earn their price on three things: coverage (tiling to get the whole market), enrichment (verified emails, not just listings) and reliability (managed proxies so your scrape doesn't die mid-run). The pragmatic path is a tool with a real free tier — like Scrupp's 100 listings a month — so you validate the data on a live city before paying for volume.
How much does it cost to scrape Google Maps?
Pricing falls into three models. Free browser tools cost nothing but your time and cap out fast. Pay-per-lead / pay-per-record (Scrupp, Outscraper) charges for what you export — economical for spiky, project-based work, and you only pay for data you keep. Monthly subscriptions (PhantomBuster and others) suit always-on teams pulling continuously. For most local outreach, pay-per-lead with a free tier to test is the lowest-risk start: you prove the ROI on a real list before committing budget.
FAQ
How do I scrape Google Maps for free?
Use a free-tier Google Maps scraper — Scrupp exports 100 listings per month at no cost (no credit card): pick a city + category, hit export, download a CSV with name, phone, website, place ID, coordinates and any public email. Free browser tools like Instant Data Scraper also work for tiny one-off grabs but can't beat the 20-result cap or find emails.
How do I get more than 20 results from Google Maps?
Google Maps caps its UI at ~20 results per search. Split the area into smaller tiles (city quadrants or ZIP codes), search each, and deduplicate by place ID — a good scraper does this automatically, turning one search into 500+ businesses.
Can I get business emails from Google Maps?
Not from the listing itself — Google Maps rarely shows an email. A scraper with email discovery visits each business's website to find and verify a contact email alongside the listing data. That's what makes the export usable for outreach.
What's the best way to scrape Google Maps at scale?
For lead gen, a no-code scraper with tiling + email discovery (like Scrupp) is fastest. For millions of records via API, an infrastructure tool like Outscraper or Apify fits better. Match the tool to whether you're prospecting or building a data pipeline.
Can I scrape Google Maps reviews?
Yes — many Google Maps scrapers pull the rating and review count with each listing, and some extract the individual review text, reviewer and date. Review data is useful for reputation analysis and for spotting businesses that need review-generation help.
How long does it take to scrape a city?
With a tiling scraper, a single city + category export typically finishes in minutes, not hours — the tool runs the geographic tiles in parallel and deduplicates by place ID as it goes. Larger areas (a whole state) take longer because there are more tiles to cover.
Do I need coding skills to scrape Google Maps?
No. A no-code Google Maps scraper (Chrome extension or cloud tool) needs only a city + category and an export click. Coding is only required if you write a custom Python scraper or call the Places API directly — worth it for engineers building a product, overkill for building a lead list.