Quick Answer
To scrape Google Maps data without coding in 2026: use Apify (free — $5/month credits, ~500–1,000 listings), Outscraper (free tier, simplest UI), or Octoparse (free plan, template-based). All three require no code, no proxies, and no setup beyond creating a free account. You get business names, addresses, phone numbers, ratings, reviews, hours, and website URLs — exported as CSV or Excel in minutes.
.png "How to Scrape Google Maps Data in 2026 (Free No-Code Tools — Step by Step)")
If you've ever spent hours manually copying business names, phone numbers, and addresses from Google Maps into a spreadsheet, you already know the problem. It's slow, error-prone, and doesn't scale past about 50 listings before you start questioning every decision that led you to this moment.
The good news: this is a solved problem. In 2026, a no-code Google Maps scraper can pull thousands of business listings — complete with names, addresses, phone numbers, ratings, reviews, and opening hours — into a clean spreadsheet in the time it takes to make a coffee. No Python. No proxies. No terminal.
This guide covers everything a non-technical user needs to know: the best free tools, how to use each one step by step, what data you can actually extract, the legal context, and how to connect scraped data to real business workflows like lead generation, market research, and competitor analysis.
In This Guide
What Is a Google Maps Scraper?
Is Scraping Google Maps Legal?
Tool #1: Apify Google Maps Scraper (Best Overall — Step by Step)
Tool #2: Outscraper (Easiest for Absolute Beginners)
Tool #3: Octoparse (Best Free Desktop Tool)
Tool #4: PhantomBuster (Best for Outreach Automation)
How to Scrape More Than 120 Results
What Is a Google Maps Scraper?
A Google Maps scraper is a tool that automatically extracts publicly visible business data from Google Maps and organises it into a structured format — a spreadsheet, CSV file, or JSON — that you can actually use.
Without a scraper, collecting 500 business listings from Google Maps means: opening each listing manually, reading the details, copying them into your spreadsheet one by one, losing your place every time you click the wrong thing, and spending an entire day on something that a scraper does in 8 minutes.
With a no-code scraper, the process is: type a keyword and location, click Run, wait a few minutes, download your file. That's it.
Who uses Google Maps scrapers:
- Sales and lead generation teams — building targeted prospect lists by industry, city, or rating
- Digital marketers and agencies — local SEO competitor analysis, citation building, GMB audits
- Researchers — mapping local business density, healthcare access, food deserts
- Business owners — understanding local competition, finding partners, market sizing
- Freelancers — building client prospect lists for cold outreach campaigns
⚠️ Why Not Just Use the Google Places API?
The official Google Places API is accurate and reliable — but expensive and limited. It caps results at 60 per search query, charges $17 per 1,000 place detail requests, and doesn't return individual review text. No-code scrapers bypass these limits, return full review content, and cost a fraction of the price. For most non-developer use cases, a scraper is the better choice.
What Data Can You Actually Extract from Google Maps?
More than most people realise. A quality Google Maps scraper returns up to 40+ fields per listing. Here's what you actually get:
| Data Field | Available? | Notes |
|---|---|---|
| Business name | ✓ Yes | Always available |
| Full address | ✓ Yes | Street, city, ZIP, country |
| Phone number | ✓ Yes | When listed by the business |
| Website URL | ✓ Yes | Used for email enrichment step |
| Star rating | ✓ Yes | Aggregate 1–5 star average |
| Total review count | ✓ Yes | Good proxy for business size |
| Business category | ✓ Yes | Primary and secondary categories |
| Opening hours | ✓ Yes | Full weekly schedule |
| GPS coordinates | ✓ Yes | Latitude and longitude |
| Individual review text | ✓ Yes | Scrapers only — not available via API |
| Photos | ✓ Yes | With advanced scrapers |
| Social media profiles | ✓ Yes | Via enrichment step |
| Email address | ⚠ Indirect | Not on Maps — requires website enrichment step (see below) |
Is Scraping Google Maps Legal? (Honest Answer)
This is the question everyone asks and most guides answer vaguely. Here's the straight answer:
Scraping publicly visible Google Maps data is legal in most jurisdictions for legitimate business purposes. The landmark hiQ Labs v. LinkedIn case (9th Circuit, 2022) confirmed that scraping publicly accessible data does not violate the Computer Fraud and Abuse Act. Publicly visible data — business names, addresses, phone numbers, ratings — is not protected information.
What Google's Terms of Service say: Google's ToS prohibit automated access. However, violating ToS is a contract dispute between you and Google, not a criminal matter. The worst Google can do is block your access or terminate your account — it cannot sue you criminally for reading public data.
The data protection angle (GDPR / CCPA): Business contact information — company names, business phone numbers, business addresses — is generally considered B2B data and falls under "legitimate interest" provisions in GDPR. Personal data of private individuals is a different matter. Stick to business data and you're in safe territory for most use cases.
✅ Practical Rule
Scraping public business data from Google Maps for lead generation, market research, competitor analysis, or directory building is widely practised by thousands of businesses. Use the data responsibly, don't spam, comply with unsubscribe requests, and you're in normal operating territory.
Tool #1 — Best Overall
Apify Google Maps Scraper
Most powerful no-code scraper. Free tier. 500–1,000 listings/month at zero cost. Scales to millions.
Apify is the most powerful and flexible no-code Google Maps scraper in 2026. It runs entirely in the cloud — no software to install, no proxies to configure — and outputs clean, structured data in CSV, Excel, JSON, or XML. The free plan includes $5 in monthly credits, which covers approximately 500–1,000 Google Maps listings per month at no cost.
What separates Apify from simpler tools is its scalability. Start for free, and when you need 50,000+ listings per month, the platform scales to handle it with scheduled runs, webhook integrations, and connections to Make.com, Zapier, and CRMs.
Pro Tip — Get More From Your Free Credits
Use specific, narrow search queries rather than broad ones. "plumbers in Brooklyn NY" returns higher-quality, more targeted results than "plumbers New York." Run 5–10 narrow searches and merge the CSVs in Excel rather than one giant generic search that wastes credits on irrelevant listings.
Tool #2 — Easiest for Beginners
Outscraper
Simplest interface of any Google Maps scraper. Free tier. Pay-as-you-go after free credits.
Outscraper has the cleanest, most beginner-friendly interface of any Google Maps scraper. If Apify feels like too many options at once, start here. Enter keywords, select locations, click Scrape, download CSV. That's the entire workflow.
The free tier gives you monthly renewable credits to get started without paying anything. Beyond the free tier, Outscraper works on a pay-as-you-go model — approximately $3 per 1,000 records after the free limit — rather than a monthly subscription, which makes it economical for occasional or irregular use.
A standout feature: the Email & Contacts enrichment add-on. When enabled alongside a Maps scrape, Outscraper automatically visits each business's website and extracts email addresses and social profile links — all in one run, without needing to set up a separate workflow.
Tool #3 — Best Free Desktop Option
Octoparse
Template-based. Free plan available. Best for users who prefer a desktop app.
Octoparse offers a pre-built Google Maps scraper template that requires zero configuration — download the desktop app, open the template, type your keyword and location, and click Run. In testing, it scraped 120 listings from a "dentists in Chicago" search in under 2 minutes on the free plan.
The free plan is functional for testing and small projects. Cloud extraction (which runs without your computer being on) requires a paid plan starting at $69/month — significantly more than Apify or Outscraper. For occasional, small-scale scraping on your own computer, the free plan delivers well.
Tool #4 — Best for Outreach Automation
PhantomBuster
Scraping + outreach in one platform. Best for agencies and sales teams who act immediately on data.
PhantomBuster takes a different approach: it connects scraping directly to outreach actions. You run a Google Maps Search Export phantom to collect local businesses, chain it to a contact enrichment phantom to add emails and social profiles, then immediately deploy an outreach sequence — all within the same platform. For agencies and sales teams that want to move from "scraped data" to "sent outreach" without jumping between five different tools, PhantomBuster reduces the friction significantly.
The free trial is genuinely useful for evaluation. The paid plans are more expensive than Apify or Outscraper, but the value is in the integrated outreach layer rather than the raw scraping capability.
Full Tool Comparison: Google Maps Scrapers 2026
| Tool | Free Tier | Credit Card? | Free Listings/Mo | Email Extract? | Best For | Paid From |
|---|---|---|---|---|---|---|
| Apify | $5/mo credits | No | 500–1,000 | Add-on | Power users, scaling, integrations | $29/mo |
| Outscraper | Monthly credits | No | ~500 | Yes — built-in | Beginners, occasional use | Pay-as-you-go |
| Octoparse | Free desktop plan | No | 120 per run | No | Small projects, desktop preference | $69/mo |
| PhantomBuster | 14-day trial | No | Trial only | Yes + outreach | Agencies, sales teams with outreach | $59/mo |
| Scrap.io | 100 leads trial | Trial only | 100 (trial) | Yes | 200M+ business database access | €49/mo |
How to Scrape More Than 120 Results from Google Maps
Google Maps displays a maximum of approximately 120 results per search query. This is a Google platform limitation, not a scraper limitation. Here's how to work around it:
Method 1 — Split by neighborhood or ZIP code
Instead of "restaurants in New York," run separate searches for: "restaurants in Brooklyn," "restaurants in Manhattan," "restaurants in Queens," etc. Merge the resulting CSVs in Excel or Google Sheets and remove duplicates.
Method 2 — Split by specific keyword variations
Instead of "gyms in Chicago," run: "fitness centers Chicago," "crossfit Chicago," "yoga studios Chicago," "personal trainers Chicago." Each returns up to 120 results for a different slice of the same category.
Method 3 — Use Apify's geographic grid splitting
For large-scale extractions (entire cities or states), Apify's Google Maps Scraper automatically divides the target area into a geographic grid and runs parallel searches across each cell. This bypasses the 120-result cap entirely and is how serious users extract tens of thousands of listings from a single region.
📌 Rule of Thumb
For most lead generation use cases (targeting one city, one category), splitting by neighborhood gives you more than enough volume. If you need an entire US state or country, use Apify with grid-splitting — it's the most reliable approach at scale.
How to Get Emails from Google Maps Listings
This is the most searched question about Google Maps scraping — and the answer requires understanding a two-step process.
Step 1 — Scrape Google Maps for business data including website URLs. This gives you names, phones, addresses, ratings, and critically — the business's website URL. Google Maps itself almost never shows email addresses.
Step 2 — Run the website URLs through an email enrichment tool. This visits each business's own website and extracts publicly listed email addresses from the contact page, footer, or about page.
The best options for Step 2:
- Outscraper Email Extractor — built directly into Outscraper. Enable "Emails & Contacts" when configuring your Maps scrape and it runs both steps automatically.
- Apify Contact Details Scraper — a separate Actor in Apify Store. Feed it the website URLs from your Maps export and it returns emails, phone numbers, and social profiles from each site.
- PhantomBuster Contact Enrichment — chains directly after the Maps Export phantom in the same workflow.
⚠️ Realistic Expectations on Emails
Not every business lists a public email on their website. Typical hit rates for email enrichment are 40–70% depending on the industry — restaurants and service businesses tend to be lower, professional services and B2B companies tend to be higher. Plan your outreach volume accordingly.
Real-World Use Cases: What People Actually Do With Google Maps Data
1. B2B Lead Generation
The most common use case by far. Scrape all dentists, law firms, restaurants, or gyms in a target city → enrich with emails → import to a CRM → launch a targeted cold outreach campaign. A solar panel company used this exact workflow to triple their B2B sales pipeline by scraping property management companies in high-sunlight states.
2. Local SEO Competitor Analysis
Scrape all competitors in your category for a target city. Filter by rating and review count to understand where the market leaders are, what categories dominate, and which neighbourhoods are underserved. Identify gaps in a market before entering it.
3. Review Analysis and Sentiment Tracking
Scrape competitor reviews in bulk → use an AI tool like Claude or ChatGPT to perform sentiment analysis → identify recurring complaints or praise patterns. One agency strategy: scrape businesses under 3 stars with fewer than 10 reviews — they're clearly struggling and highly receptive to reputation management services.
4. Building Local Business Directories
Scrape all businesses in a niche or location → clean and format the data → publish as a local directory website. The data foundation is built in hours rather than months of manual research.
5. Market Research and Academic Research
Urban planners use Google Maps data to map healthcare access in rural areas, identify food deserts, and study neighbourhood amenity distribution. Researchers use it to study business density, commercial real estate patterns, and economic geography at scale.
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Frequently Asked Questions
Is it legal to scrape Google Maps data?
Scraping publicly visible Google Maps data — business names, addresses, phone numbers, ratings — is legally defensible for business research and lead generation purposes. The hiQ Labs v. LinkedIn case (9th Circuit, 2022) confirmed that scraping publicly accessible data is not a federal crime. Google's ToS prohibit automated access, but violating ToS is a civil contract matter, not a criminal one. Always use scraped data responsibly and comply with applicable data protection laws like GDPR for any personal data.
What is the best free Google Maps scraper in 2026?
Apify is the best overall free Google Maps scraper — $5/month free credits, no credit card required, ~500–1,000 listings per month, cloud-based (no install needed), and scales to millions of listings when you're ready. For absolute beginners who want the simplest possible interface, Outscraper is the easier starting point. Both have genuinely free tiers that cover real use cases, not just demos.
How many results can you scrape from Google Maps?
Google Maps displays a maximum of approximately 120 results per search query. To scrape more, split your searches by neighbourhood, ZIP code, or keyword variant and merge the results. Advanced scrapers like Apify use geographic grid-splitting to automatically overcome this limit and scrape entire cities or regions without manual splitting.
Can you scrape emails from Google Maps?
Not directly — Google Maps rarely displays email addresses. The standard workflow is: (1) scrape Google Maps to get business names and website URLs, then (2) run those website URLs through a contact enrichment tool (Outscraper Email Extractor, Apify Contact Details Scraper, or PhantomBuster) to extract emails from the businesses' own websites. Typical email hit rates are 40–70% depending on the industry.
Can you scrape Google Maps without coding?
Yes — completely. Apify, Outscraper, Octoparse, and PhantomBuster all require zero coding. You enter a keyword and location into a web form, click Run, and download a spreadsheet. No proxies to configure, no Python to write, no terminal to open.
How do I scrape Google Maps reviews?
Most Google Maps scrapers return review counts and aggregate ratings by default. For individual review text, you need either a dedicated reviews scraper (Apify has a Google Maps Reviews Scraper Actor) or to enable review extraction in your standard scraper configuration. Note: the official Google Places API only returns aggregate ratings — individual review text requires a scraper, not the API.
Does scraping Google Maps work for all countries?
Yes — Google Maps has 225M+ listings across 195 countries. All the tools in this guide support multi-country scraping. Set the language parameter to match your target market and use location-specific search terms (including the country name) for best results.
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