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

By the Scrap.io Team — Last updated: March 2026

There's a thread on Reddit r/SEO called "Failing to Find Google Maps Scraper (that does everything)." The comments are basically a support group. People stuck stitching three different Chrome extensions together to get a single usable contact list. One guy gave up and went back to copy-pasting by hand. Another said he'd been through seven tools in a month.

I get it. According to F5 Labs' 2026 Bot Report, 10.2% of all global web traffic now comes from scrapers and bots. Everybody's extracting data. But finding a Google Maps scraper Chrome extension that actually delivers — with emails, phones, and social profiles in one export? That's still weirdly hard.

So I did the work. Tested the three free extensions that keep showing up in every recommendation thread, ran them on the same Google Maps search, documented what each one actually gives you. And yes — I'll show the bonus Google Maps data extractor that fills the gaps. More on that later.

What this guide covers: side-by-side comparison table, step-by-step setup for each extension, three real-world case studies, and the honest ceiling of free tools. All updated for 2026.

Quick Comparison: Google Maps Scraper Extensions at a Glance

In 2026, the Chrome Web Store lists dozens of Google Maps scraper extensions. I tested the four that actually matter on "restaurants in Austin, TX." Same search, same day, same laptop. Here's what I got.

Feature	Instant Data Scraper	Data Miner	Web Scraper	Scrap.io
Price	100% free	Free (500 pages/mo) then paid	Free (extension)	Free trial, 100 leads
Ease of Use	5/5	3.5/5 (recipes help)	2/5	4.5/5 (requires account)
Data Fields	6 (basic)	8-10 (with setup)	8-10 (with setup)	30+ (full enrichment)
Emails?	❌ No	❌ No	❌ No	✅ Yes
Phone Numbers?	❌ No	✅ (multi-step)	✅ (multi-step)	✅ Yes
Bulk Export	Limited (120 max)	Yes (with CSV input)	Yes (manual scroll)	✅ Unlimited
Best For	Quick one-off scrapes	Users who know CSS	Technical power users	Lead gen at scale

Few notes on the ratings. Instant Data Scraper gets the full 5 because you literally install it and click one button. Scrap.io loses half a point because you need to create an account and the full platform requires a paid plan after 100 leads — still simple, but not zero-friction. Data Miner bumped up to 3.5 because those 60,000+ pre-built recipes genuinely save time if you find one that fits.

Right. Now the details.

Extension #1: Instant Data Scraper — The Free Beginner-Friendly Google Maps Extractor

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

How to Scrape Google Maps Data with Instant Data Scraper

Run your Google Maps search, turn on the extension. It auto-detects data elements on the page — honestly impressive for a free tool. If the auto-detected table looks wrong, click "Try another table" until it picks up the right elements.

You'll see a "locate next button" option. Ignore that. Google Maps doesn't paginate — it uses infinite scroll. Check the infinite scroll box, set a delay (2-3 seconds works), remove data fields you don't need, and hit "start crawling."

The Automatic Scraping Process

This part I genuinely enjoy watching. Once you click start, Instant Data Scraper scrolls on its own. Five to seven rows per scroll. No intervention needed. My test stopped at 117 results — right against the Google Maps ceiling of approximately 120 businesses per search.

(If you need to scrape beyond the 120 results limit, different problem, different article. For a single search, 120 is the wall.)

Before exporting, you'll notice a bunch of extra data columns you didn't ask for. The extension grabs everything it can detect — so you'll see unnamed Column 7 and Column 8 with partial HTML fragments or map coordinates. Delete those. Keep what's clean. Then export to Excel.

Whole process takes maybe 4 minutes, including the scrolling time.

Why It Handles Google Maps Better Than You'd Expect

Google Maps uses a partial scroll — the scroll area sits inside a side panel, not across the full page. Most generic scrapers don't know what to do with that. They try to scroll the whole page and get nothing. Instant Data Scraper figures out the partial scroll automatically, which is a genuinely useful technical trick for a free tool.

Where It Falls Apart

Limited fields. No labels on columns. Here's what you actually get:

• Company URL
• Business name
• Star rating
• Review count
• Category
• Address

No phone numbers. No websites. No emails. Nothing you'd need for contact data extraction or cold outreach. Good enough for a quick market scan? Sure. Good enough for lead generation? Not even close.

Verdict: Fastest on-ramp to scraping Google Maps. Zero config. 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

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

Data Miner steps things up. You need an account (can't avoid it), but once you're in, you get access to a recipe library with 60,000+ pre-built scraping templates. Some of those cover Google Maps directly.

Worth knowing: the Data Miner alternative comparison for local leads goes deeper on the trade-offs if you're shopping around.

The Two-Tool Workflow

Data Miner can't scrape a Google Maps search results page for detailed info. It needs individual business page URLs. So the workflow goes: first scrape URLs using Instant Data Scraper, export to CSV, then feed those URLs into Data Miner.

Two tools chained together. Clunky? Yeah. But you get phone numbers and websites out of it, which Instant Data Scraper alone can't do.

I made sure my Instant Data Scraper export included pages where I could see websites and phone numbers displayed — because those are the three fields we're about to extract: title, phone, website.

Building Your Recipe

Select "make a new recipe for this page" and work through the setup.

Step 2: Recipe type — pick option two for detail pages. Cuts remaining steps to four.

Step 3: Pre/post-scrape actions? Nothing here. Skip.

Step 4: Add your data columns. I set up three: title, phone, website. Each needs a CSS selector.

The point-and-click selector ("easy selector finder") looks convenient. I'd skip it. Works on five pages, then breaks on page 47 because the auto-generated selectors aren't precise enough for Google Maps' HTML. Write your CSS manually — H1 for title, then specific selectors for phone and website.

One thing: these selectors only work with Google Maps set to English. Other language? Different DOM structure. Different selectors entirely.

Steps 5-6: Save with a memorable name.

Running It

Click "scrape," then "load new CSV." Paste your business URLs (from the Instant Data Scraper export). I tested five to start. Set a 3-second wait between requests. Hit "start scraping."

Two minutes later: titles, phone numbers, website URLs — all there. Some stray characters in the phone field, but nothing a quick cleanup in Excel won't fix.

The Limits

Free tier: 500 pages per month. As of 2026, Data Miner's paid plans start after that cap. And the two-step workflow adds up. For 50 businesses in one city? Manageable, about 20 minutes including cleanup. For 5,000 leads across ten markets? You'll burn hours on data janitor work — exporting CSVs, re-importing, waiting for scrapes, cleaning stray characters. I tracked my time on one test run of 100 businesses: 47 minutes total. That's without email addresses, because Data Miner simply doesn't extract those.

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

Pros	Cons
Extracts phone numbers & websites	Requires two-tool workflow
60,000+ pre-built recipes	Free tier capped at 500 pages/mo
Google Sheets integration	CSS selector knowledge recommended

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

Can any free extension scrape the search results AND the detail pages in one pass? Web Scraper comes closest. It's also the most frustrating tool on this list. By far.

If you've never opened Chrome DevTools, skip to the next section. Seriously.

Building the Sitemap

Right-click anywhere → "Inspect" → find the Web Scraper tab. Create a "site map" (their term for a scraping config). Name it, paste your Google Maps URL.

Web Scraper has its own selector types — they're not the same as CSS selectors, which confused me the first time. Figuring out which type to use at each step is the actual hard part.

Selectors for Google Maps Data Extraction

I created a link selector to grab business listings from the sidebar. Set the type to "link" (we need to click into each listing's detail page). Wrote a CSS selector for the list items.

Click "element preview" — it finds maybe five businesses. Scroll down. Eleven. Scroll again. Fourteen. Google lazy-loads results, so the more you scroll, the more appear. Check the "multiple" box, set to read from href, save.

Then I added 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.

Manual Scrolling — The Real Problem

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 literally 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 for a solid minute, scrolling and waiting for each lazy-loaded batch.

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?

Honestly? 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 is other websites — 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.

If you want a Google Maps data extractor that doesn't require coding, there are faster options. Web Scraper is the wrong tool for this specific job unless you already live in DevTools and enjoy fighting with selectors.

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
Open-source, active community	Setup takes 15-20 minutes

Why Free Chrome Extensions Fall Short for Professional Google Maps Scraping

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.

Here's what's missing across the board.

No email extraction. Not one of them pulls business emails. For cold outreach, you'll need something specifically built for extracting emails from Google Maps. There's no workaround with free extensions.

120 results, hard cap. Google Maps shows approximately 120 businesses per search. Free extensions scrape what's visible and stop. No way around it.

Multi-step workflows eat hours. Phone numbers require two tools chained together (scrape URLs, import into second tool, re-scrape). That workflow is functional for 50 leads — I timed it at about 20 minutes for a single city. But 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 emails" or "4+ stars." You scrape everything raw, then manually sort in Excel. A proper Google Maps data extractor should let you filter before paying for or downloading data — free extensions can't do this, which means you're always over-exporting and under-using.

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

The gap is real. AIMultiple benchmarked 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 six.

The Bonus Solution: Scrap.io Google Maps Scraper Chrome Extension (100% free to use)

Scrap.io's Maps Connect Chrome extension shows email addresses and social media profiles directly on Google Maps listings. Two clicks, contact info appears. Multiple emails or social links? All displayed.

For bulk extraction, the Scrap.io platform handles entire cities or countries. The three things that actually matter vs free extensions:

Filtering before export. Only businesses with an email? Only companies rated 3.5-4.5 with fewer than 50 reviews? Set filters, then export. You're not paying for rows you'll delete.

Real-time data extraction. Data comes live from Google Maps and business websites — no static database scraped six months ago. Over 200 million establishments indexed, 195 countries.

30+ data fields per listing. Emails, phones, social profiles (Facebook, Instagram, LinkedIn, YouTube, Twitter), website technologies, SEO metadata, business hours, review counts. A comprehensive Google Maps scraping guide covers the full breakdown.

Free trial, 100 free leads. No code. Integrates with CRMs for automated lead enrichment if you want to pipe data directly into your sales workflow.

Worth noting: the OutScraper comparison covers how Scrap.io stacks up against database-style scraping tools if you're evaluating multiple platforms.

Google Maps Scraper Extensions: Real-World Use Cases

Use Case 1: Outreach Agency Scales Email Volume 8x With Automated Scraping

A YouTube-focused outreach agency was pulling business contacts from Google Maps manually to pitch video production services. Their process looked a lot like what I described above — scrape with one extension, import into another, manually hunt for emails on websites. Roughly 50 outreach emails per week, which isn't bad, but also isn't enough to build a real pipeline.

After switching to Apify's Google Maps scraper with built-in email extraction, they hit 400 emails per week — saving 40+ hours of manual research (Source: Apify Blog — Best Google Maps Scrapers).

Eight times the outreach volume. Same team size. The bottleneck was never writing emails — it was finding the contacts in the first place. That resonates with pretty much everyone I've talked to who does local lead gen.

Use Case 2: AIMultiple Benchmark — 4 Tools, 4,000 Listings

AIMultiple tested four Google Maps scrapers head-to-head: 100 searches each, roughly 4,000 business listings total. Apify scored a 100% success rate (955+ Chrome Web Store reviews, 4.7 rating). Oxylabs was the fastest at 5 seconds per query. Data fields per listing ranged from 8 to 44 across tools.

What struck me wasn't the speed difference — it was the field count. Getting 44 fields vs 8 per business means you've got emails, social profiles, website tech, review trends. You can segment, score, and prioritize. With 8 fields, you've got a name and an address. Different game entirely.

Use Case 3: Open-Source Scraper Born From Reddit Frustration

A developer built a free Google Maps and website scraper during a hackathon specifically because of the frustration people kept venting about online. The tool extracts business names, addresses, phone numbers, emails, and website URLs from Google Maps listings — essentially combining what Instant Data Scraper and Data Miner do separately into a single workflow. The project gained traction on r/SaaS, where the comments were full of people who'd tried the exact workflow I described above (Instant Data Scraper → Data Miner → manual cleanup) and given up.

The Quora threads tell the same story. "What is the best free Google Maps web scraper?" and "Which is the best Google Maps listing scraper for non-coders?" pop up constantly. And the Reddit r/SEO thread "Failing to Find Google Maps Scraper (that does everything)" is basically a graveyard of abandoned workflows — people bouncing between three or four extensions because no single free tool handles the full job.

That's the gap. Free extensions exist. They work — to a point. But nobody's found a way to make them do everything in one pass without significant technical overhead.

Want results like these? Scrap.io's free trial gives you 100 free leads to test on your own market — no code, no CSS selectors, just pick a category and location.

Legal Considerations: Is Google Maps Scraping Allowed?

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

The hiQ Labs v. LinkedIn case (settled 2022) established a key precedent: scraping publicly available data doesn't violate the Computer Fraud and Abuse Act. The Supreme Court let the Ninth Circuit ruling stand. For public business information on platforms like Google Maps — names, addresses, phones, websites — that's significant legal ground.

But "generally legal" comes with conditions.

Google's ToS. Google prohibits automated scraping in their Terms of Service. 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. Still, know what you're agreeing to.

GDPR (if you're targeting 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 on a business listing) are murkier. Stick to professional domains when possible. Concrete example: if you scrape a restaurant's [email protected] from their Google Maps listing's linked website, that's generally fine for B2B outreach under GDPR Article 6(1)(f). If you scrape the owner's personal Gmail from a review response, that's a different situation — you'd need explicit consent or a much stronger legitimate interest argument.

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, and accurate sender info. Non-negotiable regardless of data source.

Deeper compliance breakdowns: is scraping Google Maps allowed? and cold email compliance guide.

Google Maps Scraping Market in 2026

Here's why free Chrome extensions are losing ground to dedicated tools: the market is professionalizing fast.

The web scraping software industry hit $1.17 billion in 2026 with an 18.5% CAGR (Source: The Business Research Company, 2026). Cloud-based scraping captured 68% of that market (Source: Mordor Intelligence, 2025). Translation: most businesses aren't writing Python scripts anymore — they're paying for platforms that handle the infrastructure.

When the companies you're competing against for leads are using tools that return 30-44 data fields per Google Maps listing, your free extension delivering six fields puts you at a real disadvantage. The gap between "I have a name and address" and "I have an email, a phone number, a LinkedIn profile, and their website tech stack" is the difference between sending a generic email and running a targeted campaign. Enterprise-level scrapers like Bright Data and purpose-built platforms like Scrap.io exist specifically because of that gap.

That's the market context. Now for the questions everyone asks.

FAQ: Google Maps Scraping Chrome Extensions

Can Google Maps be scraped legally?

Yes, in most cases — for publicly available business data. The hiQ v. LinkedIn ruling confirmed that scraping public data doesn't violate the CFAA. That said, Google's Terms of Service technically prohibit automated scraping, GDPR adds restrictions for EU personal data, and cold outreach with scraped emails must comply with CAN-SPAM. Stick to business information, respect rate limits, and check local regulations.

What is the best free Google Maps scraper Chrome extension?

For ease of use, Instant Data Scraper. Install and click — that's it. For more data fields (phone, website), Data Miner with its 60,000+ recipe library, though it requires a two-step workflow. None of the free options extract emails or social media.

How do I scrape Google Maps data without coding?

Install Instant Data Scraper from the Chrome Web Store, search Google Maps, activate the extension, enable infinite scroll, click "start crawling." Export to Excel. For email extraction without code, Scrap.io handles it through a visual interface — no CSS selectors or DevTools needed.

What data can I extract from Google Maps with Chrome extensions?

Free extensions: business name, address, category, rating, review count, Google Maps URL. That's about it — six fields max. Dedicated Google Maps data extractors like Scrap.io add emails (up to 5 per business), phone numbers, social profiles (Facebook, Instagram, LinkedIn, YouTube, Twitter), website technologies, SEO metadata, business hours, and even contact page URLs — 30+ fields total. The difference matters if you're building prospect lists vs just doing a quick survey.

Is Data Miner better than Instant Data Scraper for Google Maps?

They're good at different things. Data Miner extracts phone numbers and websites (Instant Data Scraper can't), has 60,000+ recipes, and integrates with Google Sheets. But it needs a two-step process and CSS knowledge. Instant Data Scraper is one-click simple but only scrapes surface data. Pick based on what fields you need.

How to extract emails from Google Maps for free?

Free Chrome extensions don't do it. None of them. Scrap.io's Chrome extension shows emails on individual Google Maps listings for free. Bulk email extraction requires the platform.

What are the limitations of free Google Maps scrapers?

No email extraction. 120 results per search max. Multi-step workflows for phone/website data. No filtering before export. No social media profiles. No CRM integration. Useful for quick research, useless for building prospect databases.

Can I scrape Google Maps without getting blocked?

Chrome extensions scrape at human speed through a real browser — blocking is rare. Keep delays between requests, don't run hundreds of searches per hour. Professional tools handle rate limiting and proxies automatically.

How many results can I get from a single Google Maps search?

About 120. That's Google's limit, not the tool's. To get more, split your target area into smaller geographic zones — or use a tool like Scrap.io that handles geographic segmentation and can pull listings for an entire country.

What's the best Google Maps scraper for beginners in 2026?

Instant Data Scraper for basic data fast. Scrap.io for complete data (emails, phones, social) without technical setup. Both usable in under 5 minutes.

Google Maps scraper vs API — which is better?

APIs give control but require coding and cost per request. Chrome extensions are free and visual but limited to 6 fields max. Scrap.io is the middle ground — no coding, but 30+ fields and bulk scale. Different approaches compared in the complete Google Maps scraping guide.

How do I get phone numbers from Google Maps?

Free path: Instant Data Scraper for URLs → Data Miner with CSS selectors for phone fields. Faster: Scrap.io includes phone numbers in every export automatically. Full walkthrough in the phone number scraping tutorial.

Final Verdict

Here's how I'd actually choose.

Instant Data Scraper — You need basic Google Maps data for a quick project. Maybe checking how many plumbers are in your county, or grabbing a list of restaurants for a market study. Install, click, export, forget about it. But the second you need an email address or phone number? It can't help.

Data Miner — You're semi-technical, you understand what a CSS selector is, and you're OK spending 20-30 minutes on a two-tool workflow. The recipe library saves time if someone's already built what you need. Worth it for occasional use. Not worth it if you're scraping weekly — the 500-page free limit will hit you fast.

Web Scraper — You're a developer or data analyst who lives in Chrome DevTools. For other websites (ecommerce, directories), Web Scraper is legitimately great. For Google Maps specifically, the manual scrolling requirement makes it more hassle than the alternatives.

Scrap.io — You're doing lead generation and you need the full picture: emails, phones, social profiles, pre-export filtering, and the ability to scale from one city to an entire country. The only Google Maps data extractor on this list built specifically for lead generation. Also the only one that competes on data depth with platforms like Bright Data or Octoparse.

My honest recommendation: start with Instant Data Scraper to understand what Google Maps scraping looks like. If you need more — and you probably will — free extensions won't get you there.