How to Scrape Closed Businesses From Google Maps in 2026 (Step-by-Step)

So I got this call from a buddy of mine last month. He runs commercial real estate in Atlanta — decent operation, about 15 agents. And he's frustrated. Like genuinely pissed. "How come everyone knows about these store closures before I do?"

Good question. The answer was stupidly simple and he didn't love hearing it.

Google Maps. That's it. All of it was right there.

Over 8,100 retail stores closed across the US in 2025. That's a 12% jump from 2024 — CBS News and Coresight Research tracked the whole thing. And Coresight is projecting another ~7,900 for 2026. Saks Global filed Chapter 11 in January 2026. Boom — 86+ stores gone overnight. GameStop axed 590+ locations in 2024. And Rite Aid? Every. Single. Store. Shut down by October 2025. All of them.

You know what bugs me? A contractor I'm friends with blew $4,000 on Google Ads last quarter looking for commercial renovation leads. Four grand. Meanwhile 47 restaurants had closed within 20 miles of his shop, each one needing a gut job before the next tenant could move in. The data was on Google Maps. Nobody told him. Nobody tells anyone, really, unless you know how to look.

Most people find out about closed businesses near me because they drove past the storefront and saw cardboard over the windows. That's how my neighbor found out his favorite taco place closed. Useful for feeling sad about it. Useless for business.

I'm gonna show you how to scrape closed businesses from Google Maps and actually do something with that data. Not complicated. Not expensive. And definitely before anyone in your market figures it out.

Why Closed Business Data is the Ultimate Competitive Advantage

Market Intelligence Gold Mine

I'll just throw this out there raw.

Georgia: +184% increase in business bankruptcies. Went from 213 filings in 2023 to 605 in 2024. That's not a typo. (U.S. Courts.) Wyoming was somehow even crazier — +367% (BLS). And Delaware? Highest bankruptcy rate in the country at 1,796.3 per 100,000 businesses. Delaware! The state where everyone incorporates because it's supposed to be business-friendly.

I don't share those numbers to depress you. Those are opportunity maps.

Think about what gets left behind when a business dies. Customers who still need the thing they used to buy. A physical location that somebody spent six figures building out. Suppliers who just lost an account and need to replace the revenue. Employees who know the local market inside out. All of it — just sitting there.

There's actually a thread on the Local Search Forum where some SEO guy laid out how he scrapes closed businesses specifically to grab their broken backlinks and old citations. Clever. But that's one play out of like thirty.

Real Estate and Location Opportunities

OK so Saks Global. January 2026. Chapter 11.

That single bankruptcy filing dumped 57 Saks Off 5th stores, 20 Saks Fifth Avenue, 5 Last Call outlets, and 4 Neiman Marcus stores onto the commercial real estate market at the same time (Yahoo Finance). If you're a commercial broker and you didn't have a list of those addresses within 72 hours, someone else did.

These aren't random strip mall units either. Good infrastructure, parking, built-in customer traffic. Landlords with suddenly empty anchors negotiate like their life depends on it (because their loan covenants kind of do).

Here's a stat I think about a lot: 32.8% of small business closures happen because the owner ran out of cash. Not because the location sucked. Not because demand wasn't there. The money just ran out. Which means the opportunity at that specific address is probably still completely valid.

Customer Acquisition from Business Disruption

The Federal Reserve tracked 1.2 million jobs permanently lost when businesses collapsed in Q2 2020 (source). Old data, yeah. But it illustrates the point. Those weren't just jobs — they were customer relationships. Relationships with no place to go.

Fast forward. Rite Aid shuts down every remaining pharmacy in October 2025 (CBS News). Millions of customers. Prescriptions that need filling. Suddenly no provider. I talked to an independent pharmacist in Charlotte who told me she gained 340 new patients in six weeks just by running Facebook ads in zip codes around former Rite Aid locations. She didn't use fancy tools for targeting — but imagine if she'd had a complete list of every Rite Aid that closed in her state.

That's what we're talking about. Spotting permanently closed businesses early enough to actually do something about it. Wait two months? Those customers already found someone else. Or moved. Or switched to mail-order.

Understanding Business Closure Types and Status

Permanently Closed vs Temporarily Closed

You gotta know the difference or you'll waste a ton of time going after ghosts.

Permanently closed = done. Over. Google Maps puts a little red badge on it. Lease surrendered, doors locked, probably a "For Lease" sign in the window if you drive by. These are the ones you want for scraping permanently closed businesses — real estate grabs, customer acquisition, market analysis.

Temporarily closed is a whole other thing. Ski resort gift shop closed for summer. Restaurant doing a remodel. Dentist who moved across town and hasn't updated their listing yet. A seasonal ice cream stand that closes every October in Wisconsin isn't a market opportunity — it's just October.

Confuse the two and you'll spend your whole afternoon chasing businesses that are perfectly fine. They're just on vacation.

COVID-Related Closures vs Economic Closures

This matters more than people think.

COVID wiped out healthy businesses. Good product, good customers, good location. Didn't matter. A pandemic hit and they couldn't keep the doors open. The market demand around those closures is totally different from a business that bled money for three years before finally giving up.

If you're buying a failed restaurant's equipment, the backstory changes your offer price. A COVID casualty in a great neighborhood? That equipment was probably well-maintained. A place that was dying slowly from bad management? Maybe not.

Seasonal vs Operational Closures

Tax prep offices in July. Snow cone stands in February. Christmas tree lots in January. Not closures. Schedules.

The ones you care about are operational shutdowns. Lost a key employee nobody could replace. Supplier folded and the business couldn't pivot in time. Owner had a medical emergency. These are the business closure scraping tools use cases that actually generate leads — but only if your data can tell the difference. (Most tools can't, which is a problem I'll get to in a minute.)

Step-by-Step Guide: Scraping Closed Businesses with Scrap.io

Setting Up Your Account

Enough background. Let me show you how this actually works.

Scrap.io sits on top of 200 million establishments worldwide. Real-time updates. When somebody marks their business as permanently closed on Google Maps, it hits the Scrap.io index fast. Not next month. Not when some database vendor gets around to their quarterly refresh. Fast.

Setup: go to scrap.io, sign up for the free trial. You get 100 leads to play with. Takes maybe two minutes. Probably less if you type fast.

The thing that makes it different from basically everything else is the filtering system. Which... yeah. Keep reading.

Using the "Closed" Filter

I spent a frankly embarrassing amount of time testing scrapers before I found this. Most of them give you a giant dump of every business — open, closed, seasonal, abandoned — all mixed together. You'd have to sort through it yourself.

Scrap.io has a "Permanently Closed" filter that nobody else built. I don't know why nobody else built it. It's the most obvious feature in the world if you think about it for more than five seconds. But here we are.

Workflow:

1. Pick your area. City, county, state, even a whole country if you're feeling ambitious.
2. Choose the business category. Or don't — leaving it blank searches everything.
3. Flip "Permanently Closed" to "Yes."
4. Search.

Done. Every dead business in your target area. With ratings, contact info, categories, the whole thing. The platform extracts all businesses from specific locations and lets you slice the data however you want.

Geographic and Industry Targeting

This is where it gets fun. If you want to get really specific with your closed business data extraction, stack the filters.

Location — you can draw a radius or a custom polygon. I usually start with a city, then zoom into specific neighborhoods if the data set is too big.

Category — restaurants only, retail only, whatever. You can also use the google maps permanently closed filter across all categories at once if you're doing broad market research.

And then there's quality filters. Review count, photo count, rating before closure. I typically search for places that had 50+ reviews, because those were real businesses with actual customers. Not some popup that lasted six weeks and got three reviews from the owner's family.

Data Export and Analysis

Hit export and you get CSV or Excel. The data includes names, addresses, old ratings, phone numbers (more still work than you'd expect), websites (lots stay live for months after closure), social media profiles, business categories, and — if you need to extract additional contact information like emails — that's part of the enrichment.

Color-coded too. Yellow = Google Maps data. Orange = scraped from the website. Makes it easy to see what came from where without reading column headers.

Not gonna lie, the first time I exported a list of 800+ closed restaurants in a single metro area, I just stared at it for a while. That's a lot of dead businesses. That's also a lot of opportunity.

Alternative Methods and Tools for Closed Business Data

Manual Google Maps Research (Limited Scale)

You could absolutely do this by hand. Open Google Maps, click each listing, check if it says "Permanently closed," copy the info into a spreadsheet, move to the next one.

Twenty businesses per hour if you're fast. Fifty hours to cover 1,000 closed down businesses in a metro area. Over a full work week of clicking. For data Scrap.io generates in under sixty seconds.

If you need to check on five specific competitors? Fine, do it manually. For web scraping for business closures at any real volume? Come on.

API-Based Solutions (Technical Requirements)

Google Maps API doesn't have a closed business filter. Full stop. You'd need to pull every business in an area, then check status individually, then filter the results yourself. And Google charges $32-40 per 1,000 results. The cost comparison between API and scraping makes the math pretty clear.

A friend who's a developer tried building a custom scraper for this. Spent three weekends on it. Still couldn't reliably filter for closures. Then he hit rate limits. Then Google changed something and his code broke. He uses Scrap.io now. (He'll never admit that publicly though.)

For anyone who's scraping without Python — which is most people, honestly — the API approach is a non-starter.

Here's a comparison that might help:

Method	Scale	Cost	Difficulty	Has Closed Filter?
Manual Google Maps	Very low (~20/hr)	Free (time cost)	Easy	No
Google Maps API	High	$32-40 per 1,000	Hard (coding required)	No
Chrome Extensions	Medium (~120/query)	Free to low	Easy	No
Scrap.io	Unlimited	Subscription	Easy (no code)	Yes

Look at that last column. That's the whole ballgame.

Third-Party Scrapers (Comparison with Scrap.io)

I've tested a bunch. Most either don't filter for closed businesses at all, run on stale databases from three months ago, require you to write code, or cost way too much for patchy results.

Compared to Outscraper, Scrap.io has 17 filters and was designed ground-up for Google Maps. The permanently closed filter is genuinely unique at this scale. I wish I could point you to a serious competitor so this didn't sound like a sales pitch, but... I looked. There isn't one. Not for this specific use case.

Legal and Ethical Considerations

Public Data Rights and GDPR Compliance

"Can I legally scrape business status from Google Maps?"

I get asked this maybe twice a week. Yes. The data on Google Maps is public information that businesses put there themselves. You don't need to log in to see it. Nobody's breaking into anything. You're collecting what's already visible to every person with a web browser.

Scrap.io is GDPR-compliant — they only touch public business data and everything's traceable back to its source. If you want the detailed breakdown, their legal considerations for Google Maps scraping article covers it properly.

Terms of Service and Compliance

Google's ToS says they don't love automated scraping. That's fair. It's their platform. But ToS violations are civil contract stuff, not criminal charges. Scrap.io basically works like a search engine — indexing what's publicly available.

What you actually need to worry about is what you do with the data after.

Phone outreach? TCPA compliance. Don't skip this one. The fines are brutal.

Email campaigns? CAN-SPAM. Unsubscribe link, physical mailing address, non-deceptive subject lines. Basic stuff but lots of people screw it up. Here are some compliance guidelines for outreach campaigns worth reading before you send anything.

Oh, and keep records. Where the data came from, when you pulled it. Because sometimes closed businesses reopen, and you don't want to be contacting a place that's back in business about how they "used to exist."

Turning Closed Business Data into Revenue

Lead Generation Strategies

So you've got your list. Now what.

Fill the gap. This is the obvious one. Every closed business had customers who still need what it sold. A roofing company in Nashville — tiny operation, 12 guys — lost three competitors to closures in 2025. Owner scraped every closed contractor in his metro, pulled the ones with high review counts (meaning loyal customers who are now orphaned), and ran targeted Facebook ads in those zip codes. Went from 3 callbacks a week to 11. Took him an afternoon.

Go after suppliers. Dead business = supplier who just lost a client. Those suppliers need to replace that revenue. And if you happen to be in the market for what they sell, your negotiating position just got a lot better.

Hire their people. This one's underrated. A closed competitor's employees know your market. They know the customers. They know the territory. One HVAC company in Dallas hired three techs from a competitor that folded — and half of the old company's client base followed them over. Word of mouth, no marketing spend.

Steal their backlinks. Not literally steal. But dead websites leave orphaned backlinks pointing at 404 pages. Contact the linking sites. Suggest your URL as a replacement. Tedious? Yeah. Worth it for SEO? Absolutely.

There's also the angle of finding companies with negative reviews and combining that data with closure data for a really targeted approach.

Market Analysis and Competitive Intelligence

This goes beyond lead gen. Closed business data for lead generation is one use case, but pattern analysis is where things get interesting.

Eight restaurants closing in the same zip code over six months tells you something. Maybe rent went up. Maybe a road closure killed foot traffic. Maybe the demographics shifted and the market can't support that many of the same type of business anymore. That's intel you can't get from a Google search.

I know a guy who almost signed a three-year lease in a neighborhood where four similar businesses had closed in the past year. He didn't check. He found out later. Cost him about $80,000 and two years of his life. (We don't talk about it at dinner anymore.)

Flip side — seeing closures in a category you don't compete in might actually be great news. Less competition for parking. Landlord suddenly flexible on terms. Adjacent customer base now looking for alternatives.

Real Estate and Location Planning

Coresight projects ~7,900 retail closures for 2026. Yahoo Finance and Business Insider are tracking roughly 1,300 confirmed closures already on the books. The pipeline is enormous.

What are smart operators tracking? Chain closures = premium locations at distressed pricing. Restaurant shutdowns = kitchens already built out (a buildout can run $200K+ from scratch). Office closures = cheap satellite space. Mall anchor departures = redevelopment angles.

And if you're pulling this data weekly or monthly instead of once, you start seeing cascade patterns. Walgreens closes in a strip mall — six months later the sandwich shop dies because foot traffic dropped 40%. Then the nail salon. That kind of pattern is invisible unless you're watching the data over time.

Advanced Techniques and Automation

API Integration with CRM Systems

When you get serious about tracking recently closed businesses, manual exports stop cutting it. Scrap.io's API plugs directly into your CRM. New closures show up as leads in your pipeline. Nobody has to go check.

Set it up to run daily or weekly on your target areas. Route results into specific pipelines based on business category or geography. Build alerts for when closures hit a certain density in a zip code. At 300 requests per minute you can monitor entire states without breaking a sweat.

Cost per day? Less than one Google Ads click in most B2B verticals. Like, not even close.

Regular Data Updates and Monitoring

A business that was open on Thursday can be marked closed on Friday. I've seen it happen.

Weekly scans minimum on high-value areas. Daily if the market's hot. I know an agency owner — won't name him, he'd kill me — who runs three-city daily scans. New closure pops up, his CRM auto-creates a record, sales team reaches out same day. He told me that speed advantage alone doubled his pipeline in Q4 2025. (I believe him, because he bought a boat.)

This stuff pairs well with Local SEO and data scraping strategies if you're trying to capture market share in specific geographies.

Cross-Platform Data Enrichment

The real power move: combine closed business data with other sources.

Start with Google Maps. Scrape closed businesses — that's your base layer. Then cross-reference LinkedIn to see where their employees went. Check trademark databases for abandoned brands. Watch domain registrations for expiring URLs (some closed businesses had legit domain authority worth scooping up). Pull review data from before the closure to understand the customer profile. Monitor social media to see what former customers are saying.

You go from "here's a list of closed businesses" to "here's a complete picture of what happened, who was affected, and where the opportunity is." Totally different product. Totally different conversation with clients.

Common Challenges and Solutions

Data Accuracy and Verification

Gonna be straight with you — the data isn't always perfect. Google Maps isn't always perfect.

A restaurant marked "temporarily closed" three months ago might actually be gone for good. The owner just never updated the listing. A "permanently closed" place might've quietly reopened under new ownership and a new name. Happens.

Cross-reference everything. Check the website, call the phone number if it matters, look at recent reviews (sometimes customers write reviews saying "this place has been closed for months, take it off Maps"). Street View can show signage.

Scrap.io gives you enough data points per listing to triangulate fast. You're not banking on a single flag.

Scale and Processing Large Datasets

Pull closure data for Texas and you're looking at... a lot. Like, a lot a lot.

My advice: filter hard before exporting. Geographic chunks. Industry slices. Don't pull "everything closed in America" and then try to make sense of it in Excel. Your laptop will hate you and so will your brain.

Start with one metro area. One industry. Get the workflow right. Then scale up.

Avoiding Detection and Rate Limits

If you're building your own scraper (why?), you'll deal with Google's anti-bot defenses. Proxies, CAPTCHAs, IP rotation, retry logic. It's basically a second full-time job maintaining the infrastructure.

Scrap.io handles all of that. Distributed servers, smart routing, auto-retries. You get the data. They deal with the headaches. That's... kind of the point.

Case Studies and Success Stories

Real stuff. Not hypotheticals.

The Saks Global Play (January 2026)

Saks Global files Chapter 11. 86+ stores closing across four brands. One commercial real estate firm had their Scrap.io account alert them within hours. They mapped every affected location in their target markets that same weekend — 23 high-value spots identified. Got meetings with property managers before most of the industry had even read the news. Locked down 9 leases at 25-35% below market. Nobody else was calling yet.

Restaurant Closures → Agency Revenue (Phoenix, 2024-2025)

Digital marketing agency tracked every restaurant closure in the Phoenix metro for about six months. When a restaurant closed, they'd identify similar restaurants nearby and pitch them: "Your competitor just left. Their customers are looking. Want to be the one they find?" Close rate on that outreach: 40%. Normal cold outreach for the same agency: 12%. That's not a small difference.

The Rite Aid Ripple (October 2025)

Rite Aid closed all remaining stores (CBS News). An independent pharmacy chain in the Southeast pulled every Rite Aid location in five states within hours. Found 31 former locations within 10 miles of their existing stores. Ran direct mail to surrounding zip codes with prescription transfer bonuses. Approached Rite Aid's old wholesale suppliers for volume discounts (because those suppliers just lost their biggest client). New transfers up 28%, supply costs down 11% within three months.

Gym Equipment Flip

B2B equipment supplier noticed gym closures ticking up in certain states. Instead of writing off lost accounts, they went the other direction. Buy used equipment from closing gyms, refurbish it, sell to new gyms opening in those same markets. Revenue up 65% in a single year. The guy told me his only regret was not starting sooner.

None of these fell out of the sky. This is just what happens when you scrape closed business data consistently and actually act on it before everyone else does.

Closed Business Data by Industry: Key Statistics (2026)

Alright, let's talk numbers. Because the businesses that closed across the US in the past two years aren't evenly distributed. Some sectors got absolutely wrecked. Others barely noticed. Knowing which ones — that's how you target.

Major retail closures tracked through 2025 and 2026:

Chain	Stores Closing	Timeline	Primary Reason
Walgreens	2,150 planned	Through 2027	Restructuring (~25% of all locations)
GameStop	590+	2024 (more planned)	Shift to digital / declining foot traffic
Macy's	150	Through 2026 (66 in 2025)	Brick-and-mortar downsizing
Saks Global	86+ (Jan 2026)	2026	Chapter 11 bankruptcy
Rite Aid	ALL remaining	Completed Oct 2025	Opioid litigation / bankruptcy
Kroger	~60	By mid-2026	Post-merger optimization
Carter's	150	Over 3 years	Retail footprint reduction

That's just the big names. Thousands of small businesses closed alongside them — restaurants, local retail, service businesses. Nobody writes a Bloomberg article when a dry cleaner folds. But those closures create the same type of opportunity at a local level.

How many businesses closed in 2025? Over 8,100 retail stores, per CBS News and Coresight Research. The 2026 projection for retail store closures sits around 7,900. Down slightly from 2025 but still enormous by any historical measure.

Pharmacy, department stores, specialty retail, restaurants. Those are the sectors bleeding out. If your business touches any of them — real estate, lead gen, services, equipment — you should be paying attention.

One thing I've noticed: closures cascade. A Walgreens dies in a strip mall. Foot traffic drops. The sandwich shop next door starts struggling. Three months later, the nail salon. Then the whole block is half-empty and the landlord is panicking. If you're scraping this data monthly, you can see those dominoes starting to fall before the second one tips.

Restaurants are a special category. About 60% fail within three years in most markets. That's not a recession thing — that's just restaurants. Which means if you sell to restaurants (equipment, POS systems, cleaning, commercial real estate), you've got a permanent, constantly replenishing pool of closed business data to work with.

Conclusion and Next Steps

Alright. You made it to the bottom. Here's where things stand.

8,100+ stores closed in 2025. Around 7,900 expected for 2026. Plus all the small businesses closed that never make the news. COVID-era gaps still exist in local markets. New economic closures hit every week.

This isn't temporary. Businesses fail. It's structural. The only variable is whether you're positioned to capture the opportunity — or whether you find out about it three months later from a friend who happened to notice the "closed" sign while getting coffee.

I've seen people build entire verticals on this data. One agency does nothing but target businesses near recent closures. A real estate guy monitors five metros daily. A SaaS company sells "closure intelligence" dashboards to commercial landlords. All of them started the same way: one Scrap.io search, one interesting data set, one "huh, this is way bigger than I thought" moment.

If I were starting from scratch, here's what I'd do:

1. Start small. One city. Your city. Pull everything closed. Look at it.
2. Look for patterns. What types of businesses are dying? Where?
3. Pick one angle. Real estate. Lead gen. Hiring. Supplier arbitrage. Just one.
4. Automate the monitoring. Weekly scans. Be the first to know.
5. Move fast. Closure data has a shelf life. Phone numbers disconnect. Websites expire. Customers find someone else.

Scrap.io makes it dead simple. No code, no proxies, no stale databases.

FAQ

How do I find permanently closed businesses on Google Maps?

Manually? You'd have to search each business individually and look for the red "Permanently closed" label. At scale, that's absurd. On Scrap.io, you set the "Permanently Closed" filter to "Yes," enter a location and category, and the platform returns every matching closed business in that area. Two minutes. Works whether you're checking one neighborhood or an entire state. I've done both.

What data can I extract from closed businesses?

More than you'd think. Names, addresses, phone numbers (a surprising number still work), websites (many stay live for months), Google ratings from before they closed, review counts, social media pages, business category, price range. Scrap.io color-codes exports — yellow for Google Maps data, orange for stuff scraped from the business's website. Email addresses too, when available.

Is it legal to scrape closed business information?

Yes — you're collecting publicly available information that businesses themselves published on Google Maps. No login required. Scrap.io stays GDPR-compliant because they only pull public data. Where legality gets nuanced is what you do after. Phone outreach needs TCPA compliance. Email campaigns need CAN-SPAM compliance — unsubscribe link, physical address, honest subject lines. Using data for legitimate business purposes? Totally fine.

Which tools work best for scraping business closure data?

For specifically targeting closed businesses, Scrap.io is the only platform I've found with a dedicated "Permanently Closed" filter pulling real-time Google Maps data. The API doesn't have one. Chrome extensions don't have one. Outscraper doesn't have one. You'd need to pull all businesses and sort manually, which defeats the whole purpose at $32-40 per 1,000 API results.

How can closed business data benefit my business?

Real estate teams grab premium locations before they hit public listings. Marketing agencies pitch businesses near closures (40% close rate in one case vs. 12% for cold outreach). Suppliers approach companies who just lost a vendor. SEO pros reclaim backlinks from dead sites. Recruiters hire experienced talent from defunct competitors. If your business benefits from market churn in any way, this data is relevant.

What happens to data when a business closes?

The Google Maps listing sticks around — it just gets the "permanently closed" tag. But everything else degrades. Phone numbers disconnect. Domains expire. Social accounts go dormant. The sooner you pull the data after a closure, the more useful it is. That's why monitoring beats one-time pulls: you catch closures while the contact info is still warm.

How many businesses closed in 2025?

8,100+ retail stores in the US, about 12% more than 2024. That's from Coresight Research via CBS News. Big names included Rite Aid (all of them), GameStop (590+), Macy's (66). That count only covers tracked retail chains — add restaurants, independent shops, and service businesses and the real number is much higher.

Can I filter for recently closed businesses in a specific area?

Yeah. Scrap.io lets you combine geography (down to the neighborhood level with radius or polygon targeting) with the closure filter, plus industry, review count, rating, etc. "All restaurants that closed in downtown Dallas with 50+ reviews" — that's a real search you can run. Takes about 30 seconds. That specificity is what makes the data usable instead of just... a lot.