Google Maps Scraper Chrome Extensions: 3 Free Tools Tested & Compared

Google Maps Scraper Chrome Extensions: 3 Free Tools I Tested (2026)

There's a Reddit thread in r/SEO that's basically become a support group. The title: "Failing to Find Google Maps Scraper (that does everything)." The comments? People admitting they've chained three different Chrome extensions together just to get a usable contact list. One person gave up and went back to copy-pasting by hand. Another cycled through seven tools in a month.

I understand the frustration.

According to F5 Labs' 2026 Bot Report, 10.2% of all global web traffic now comes from scrapers and bots. Everyone's extracting data. But finding a single Chrome extension that pulls emails, phone numbers, and business info from Google Maps in one export? That's still surprisingly difficult.

So I tested the three free extensions that keep appearing in recommendation threads. Same Google Maps search. Same day. Documented what each one actually delivers. And I'll show you what free tools are missing — and when you actually need something better.

---

What You'll Learn Here

• How each free extension works (step-by-step)
• Real data each one extracts (and what it can't)
• Which extension fits which use case
• Why free tools hit a ceiling for serious lead gen
• When to move beyond Chrome extensions

Let's start with a side-by-side view.

---

Quick Comparison: Google Maps Scraper Extensions at a Glance

I tested all three on "restaurants in Austin, TX" — same search, same conditions. Here's what landed in each export.

Feature	Instant Data Scraper	Data Miner	Web Scraper
Price	100% free	Free (500 pages/mo)	Free (extension only)
Setup time	30 seconds	10 minutes	20 minutes
Ease of use	5/5	3/5	2/5
Data fields	6 (basic)	8-10	8-10
Emails?	❌ No	❌ No	❌ No
Phone numbers?	❌ No	✅ (multi-step)	✅ (multi-step)
Results per search	~120 max	~120 max	~120 max
Best for	Quick one-off scrapes	Users with CSS knowledge	Developers in DevTools

The key takeaway: All three max out at roughly 120 results per Google Maps search. None extract emails. Two require multi-step workflows to get phone numbers. None are built specifically for lead generation.

---

Extension #1: Instant Data Scraper — The One-Click Google Maps Extractor

Getting started takes 30 seconds. Search "Instant Data Scraper" in the Chrome Web Store, click "Add to Chrome," done. No account. No setup wizard. Just install and go.

How to Use It (4-Minute Workflow)

1. Run your Google Maps search — "restaurants Austin TX" or whatever your target is
2. Activate the extension — Click the extension icon in your toolbar
3. Let it auto-detect — The extension scans the page and identifies data tables. You'll see a preview
4. Enable infinite scroll — Check the box for "infinite scroll" (Google Maps doesn't paginate — it lazy-loads as you scroll)
5. Set the scroll delay — 2-3 seconds works. This gives Google Maps time to load each batch
6. Remove junk columns — You'll see extra data columns with partial HTML. Delete those
7. Click "Start crawling" — The extension scrolls on its own. No interaction needed
8. Export to Excel — Once it hits the 120-result ceiling, download your CSV

The whole process: 4 minutes including scroll time.

Why It Works for Google Maps (When Others Don't)

Most generic web scrapers fail on Google Maps because of how the site loads data. The scroll area sits inside a side panel, not across the full page. A typical scraper tries to scroll the whole page and gets nothing.

Instant Data Scraper figures out the partial scroll automatically. That's a genuinely useful technical trick for a free tool. It's why this extension doesn't choke on Google Maps the way others do.

What You Actually Get

• Company name
• Address
• Star rating
• Review count
• Category
• Google Maps URL

That's it. Six fields. No phone numbers. No websites. No emails. Nothing for serious cold outreach.

Real Example: What Your Export Looks Like

You run the scraper on "plumbers near me" and get 87 results. Each row has a name, address, rating (3.8 stars), review count (24), and category ("Plumbing").

Can you identify potential customers? Yes.

Can you call them? No — no phone numbers.

Can you email them? No — no emails.

Can you research their websites? No — no URLs.

For a quick market scan ("How many plumbers are in my area?"), this is fine. For lead generation? Not even close.

Verdict: Fastest on-ramp to Google Maps scraping. Zero configuration. But the data is surface-level only.

Pros	Cons
Zero setup — literally one click	No email or phone extraction
Auto-detects Google Maps partial scroll	Unlabeled data columns
Completely free, no limits	Capped at ~120 results per search
Works in 4 minutes	No filtering before export

---

Extension #2: Data Miner — The Professional Google Maps Data Scraper

Data Miner steps things up. You need an account (unavoidable), but once you're in, you get access to 60,000+ pre-built scraping templates called "recipes."

The Two-Tool Workflow Problem

Here's the catch: Data Miner can't scrape a Google Maps search results page directly. It needs individual business page URLs.

So the workflow goes:

1. Run Instant Data Scraper to grab business URLs
2. Export to CSV
3. Feed those URLs into Data Miner
4. Re-scrape to pull phone numbers and websites

Two tools chained together. Clunky? Yes. But you get phone numbers and websites, which Instant Data Scraper alone can't touch.

Setting Up a Recipe (10 Minutes)

You'll start with a Google Maps business listing page (the detail page, not the search results).

Click "Make a new recipe for this page." The setup wizard walks you through four steps.

Step 1: Select "detail page" as your recipe type. This cuts the remaining config steps.

Step 2: Skip pre/post-scrape actions. Not needed.

Step 3: Add data columns. I set up three: title, phone, website. Each needs a CSS selector.

Here's where it gets technical. You can use the "easy selector finder" — it's point-and-click. But it breaks after five pages because the auto-generated selectors aren't precise enough for Google Maps' HTML structure.

Better approach: write your CSS manually. Use H1 for the business title, then specific selectors for phone and website. It takes 5 minutes if you know CSS. 30 minutes if you don't.

Important note: These selectors only work when Google Maps is set to English. Switch languages and the entire DOM structure changes. Your selectors break.

Step 4: Save with a memorable name.

Running It (5 Minutes)

Click "Scrape," then "Load new CSV." Paste your business URLs from the Instant Data Scraper export. Set a 3-second wait between requests (be respectful to Google's servers).

Hit "Start scraping."

Two minutes later: titles, phone numbers, website URLs — all there. Some stray characters in the phone field (parentheses, dashes), but Excel cleanup fixes that in 30 seconds.

Where It Falls Apart

Free tier: 500 pages per month. That's 500 businesses. After that, you hit the paywall.

And the two-step workflow adds up. For 50 businesses in one city? Manageable. For 5,000 leads across ten markets? You'll spend hours on data janitor work — exporting CSVs, re-importing, waiting for scrapes, cleaning stray characters.

I timed one test run of 100 businesses:

• Instant Data Scraper: 8 minutes
• CSV export and formatting: 3 minutes
• Data Miner setup: 12 minutes
• Data Miner scraping: 15 minutes
• Data cleanup in Excel: 8 minutes
• Total: 46 minutes

For 100 leads. That's 27 seconds per business. And you still don't have emails.

Verdict: Gets you phone numbers and websites that Instant Data Scraper can't. But the multi-step workflow and 500-page free limit make it painful at scale.

Pros	Cons
Extracts phone numbers & websites	Requires two-tool workflow
60,000+ pre-built recipes save time	Free tier capped at 500 pages/mo
Google Sheets integration	CSS selector knowledge recommended
	No email extraction

---

Extension #3: Web Scraper — The Most Powerful (and Most Painful) Free Option

Web Scraper is the most powerful free extension on this list. It's also the most frustrating.

If you've never opened Chrome DevTools (F12 on Windows, Cmd+Option+I on Mac), skip this section. Seriously.

Building the Sitemap (The Technical Part)

Right-click anywhere on the Google Maps page → "Inspect" → find the Web Scraper tab in DevTools.

Create a "site map" (their term for a scraping configuration). Name it, paste your Google Maps URL.

Web Scraper has its own selector types — they're different from CSS selectors. Figuring out which type to use at each step is the hard part.

Selectors for Google Maps (The Painful Part)

Create a link selector to grab business listings from the sidebar. Set the type to "link" (you need to click into each listing's detail page). Write a CSS selector for the list items in the sidebar.

Click "element preview." It finds maybe 5 businesses. Scroll down. 11 appear. Scroll again. 14. Google lazy-loads results, so the more you scroll, the more appear.

Check the "multiple" box, set to read from href, save.

Then add child selectors under the link: title (H1), phone, website. One each. No "multiple" box for these — each business has one title, one phone, one site.

The Fatal Flaw: Manual Scrolling

Web Scraper can't scroll Google Maps. Full stop.

Google Maps uses a partial scroll area inside a side panel. Web Scraper's "element scroll down" selector only handles full-page scrolls. The extension doesn't know the Google Maps panel exists.

So you scroll manually. Every time. Before every scrape. For 30 businesses, whatever. For 120? You're sitting there scrolling and waiting for each lazy-loaded batch for a solid minute.

I timed it: 47 seconds of continuous scrolling to load all 120 results. Then the extension takes over and clicks through each listing. But you had to do the manual work first.

Actually Running It

Request interval: 10 seconds. Page load delay: 10 seconds. Click "Start scraping."

First: scroll to the bottom manually. Then the extension takes over — clicks into each listing, grabs your fields, goes back, clicks the next. It works. Slowly.

Stop the job when you've got enough. Export as CSV.

Is It Worth Your Time?

For Google Maps specifically? Probably not.

The manual scrolling requirement kills the time savings you'd get from one-pass extraction. I spent more time configuring Web Scraper and manually scrolling than I would've spent just running Instant Data Scraper + Data Miner back to back.

Where Web Scraper shines: ecommerce catalogs, job boards, directory sites with normal pagination. For those, it's genuinely excellent. But Google Maps' partial scroll setup creates a unique problem that this extension wasn't designed to solve.

Verdict: Most powerful free Google Maps scraper on paper. Worst user experience for Google Maps in practice.

Pros	Cons
One-pass extraction (theoretically)	Manual scrolling every time
100% free, no page limits	Steep learning curve (DevTools required)
Open-source, active community	Setup takes 15-20 minutes
	No email extraction

---

The Hard Ceiling: Why Free Extensions Fall Short for Serious Lead Gen

All three share the same core problem: they're general-purpose web scrapers. Google Maps is a specific, unusual beast — partial scrolls, lazy-loaded results, data locked behind individual listing pages.

These tools weren't designed for it. They'll get you started. They won't get you far.

What's Missing

No email extraction. Not one of these extensions pulls business emails. For cold outreach, you need something specifically built for email discovery. There's no workaround with free Chrome tools.

120 results, hard cap. Google Maps shows approximately 120 businesses per search. Free extensions scrape what's visible and stop. No way around it. Want all plumbers in France? You'd need to split the country into 50+ searches and run each one separately.

Multi-step workflows eat hours. Phone numbers require two tools chained together. For ongoing prospecting across multiple cities, the time compounds fast. Five cities per week at 45 minutes each? That's almost 4 hours of mechanical clicking and waiting. And you still don't have emails.

No pre-export filtering. Can't filter for "only businesses with 4+ stars" or "only restaurants with more than 50 reviews." You scrape everything raw, then manually sort in Excel. A proper Google Maps data extractor should let you filter before downloading — free extensions can't do this.

Zero social media data. No Facebook pages, Instagram handles, LinkedIn profiles, or YouTube channels.

The Data Depth Problem

According to a 2025 benchmark by AIMultiple testing four Google Maps scrapers across 4,000 business listings, the best tools returned 8 to 44 data fields per listing.

Free Chrome extensions max out at 6.

Getting 44 fields vs 6 fields per business means:

• You've got emails (up to 5 per business)
• You have social profiles (Facebook, Instagram, LinkedIn)
• You can see website technologies (WordPress, Shopify, etc.)
• You can segment by review trends
• You can prioritize high-intent prospects

With 6 fields, you've got a name and an address. Different game entirely.

---

When Free Extensions Work (And When They Don't)

Use Case 1: Quick Market Research ✅

You want to know: "How many plumbers are in my city?" or "What's the average rating for restaurants in my neighborhood?"

Instant Data Scraper. 4 minutes. Done.

Use Case 2: Building a Prospect List for Cold Outreach ❌

You need names, phone numbers, emails, and social profiles for 500 local businesses to pitch your services.

None of these extensions can do it. You'd need to:

• Run Instant Data Scraper for names/addresses
• Run Data Miner for phone numbers (2-step workflow)
• Manually hunt for emails on each business website
• Manually search for social profiles

Total time: 15+ hours. And you'd still miss emails.

Use Case 3: Competitor Analysis ✅

You want to see what categories competitors are ranking in on Google Maps.

Instant Data Scraper. Get category data, ratings, review counts. Done in under 5 minutes.

Use Case 4: Large-Scale Lead Generation (100+ leads across multiple cities) ❌

Free extensions can't handle it. The 120-result ceiling per search and lack of email extraction make this impossible without significant manual work.

---

The Professional Alternative: When You Need More Than Chrome Extensions

If you've hit the ceiling with free tools, you're looking at dedicated Google Maps data extraction platforms.

The difference is significant. A professional Google Maps data extractor handles:

• Email extraction — discovers business emails from linked websites
• Bulk geographic searches — entire cities or countries, not 120-result limits
• Pre-export filtering — only download what you need
• 30+ data fields — not just 6
• Social media profiles — Facebook, Instagram, LinkedIn, YouTube
• Website technologies — what CMS, payment processor, analytics they use
• Review data — actual review text, ratings, dates, author names
• Real-time updates — data refreshed monthly, not static

These platforms cost money. But if you're doing lead generation seriously, the time savings pay for themselves in days.

---

Real-World Examples: Where Free Extensions Break Down

Example 1: Outreach Agency Scales Email Volume 8x

A YouTube-focused outreach agency was pulling business contacts from Google Maps manually. Their workflow: Instant Data Scraper → Data Miner → manual email hunting on websites. Roughly 50 outreach emails per week.

After switching to a dedicated Google Maps extractor with built-in email enrichment, they hit 400 emails per week.

Eight times the outreach volume. Same team size. The bottleneck wasn't writing emails — it was finding the contacts.

Example 2: The Reddit Thread That Sums It Up

There's a thread in r/SaaS where a developer posted a free Google Maps scraper they built because of frustration people kept venting about online. The comments were full of people who'd tried chaining Instant Data Scraper + Data Miner together and given up.

One comment: "I spent 3 hours setting up Web Scraper, then realized I still didn't have emails. Went back to copy-pasting."

Another: "Why isn't there a single free tool that does everything?"

The answer: free tools aren't built for lead generation. They're built for general-purpose web scraping. Google Maps is too specific, and the data requirements for serious outreach are too demanding.

---

Legal Considerations: Is Google Maps Scraping Allowed?

Scraping publicly available business data from Google Maps is legal in most situations. But there are nuances.

The hiQ Labs v. LinkedIn case (settled 2022) established that scraping publicly available data doesn't violate the Computer Fraud and Abuse Act. For public business information on Google Maps — names, addresses, phones, websites — that's significant legal ground.

But "generally legal" comes with conditions.

Google's Terms of Service

Google prohibits automated scraping in their ToS. They rarely enforce it against low-volume, extension-based extraction of public business data. But the clause exists. Using Chrome extensions at human speed is very different from blasting 10,000 API calls per minute.

GDPR (Europe)

Business emails published on company websites are typically classified as professional contact data — processable under legitimate interest for B2B marketing. Personal email addresses (Gmail, Yahoo accounts) are murkier. Stick to professional domains when possible.

Example: scraping a restaurant's [email protected] from their Google Maps listing's linked website is generally fine for B2B outreach under GDPR Article 6(1)(f).

CCPA (California)

Publicly available business information isn't restricted. But direct marketing to California residents requires an opt-out mechanism.

CAN-SPAM

If scraped emails end up in cold outreach, every message needs:

• An unsubscribe link
• Your physical address
• Accurate sender information

Non-negotiable