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Scrape 99 Cents Only Stores Locations Data in the USA

Extract accurate 99 Cents Only Stores locations in the USA , including addresses, contacts, and hours.

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In today’s fast-moving retail world, data is everything. And sometimes, the most surprising insights come from the places you least expect — like dollar stores. Among these, 99 Cents Only Stores stand out as a key player in discount retail across the Western United States.

If you’re in retail analysis, logistics, commercial real estate, or consumer insights, you should be paying attention to where these stores are opening, expanding, or closing.

That’s where we come in.

At RealDataAPI, we offer a fully automated solution to scrape 99 Cents Only Stores location data across the USA, providing you with real-time, structured, and reliable information to drive better decisions.

Why Does 99 Cents Only Store Location Data Matter?

Here’s the thing — dollar and discount stores aren’t just a retail trend. They’re a strategic response to shifting consumer behaviors, especially in times of economic pressure.

And the numbers back it up:

  • More than 300+ 99 Cents Only Stores in the Western U.S.

  • Heavy presence in California, Texas, Arizona, and Nevada

  • Preferred by price-sensitive shoppers, especially in urban and suburban neighborhoods

By tracking their store locations, you can learn a lot about local demand patterns, underserved markets, population density, and even competitor strategy.

Who’s Using This Data?

You’d be surprised at how many industries rely on this kind of store-level data. Here are a few examples:

Retail & CPG Brands

Want to understand where budget-conscious consumers are shopping? Use this data to plan promotions, supply chains, or even store expansions in similar neighborhoods.

🏙️ Real Estate Developers & Investors

Looking to assess a location’s commercial viability? A nearby 99 Cents Only Store might mean consistent foot traffic, high-volume retail activity, or rising demand in lower-income zones.

📦 Supply Chain & Delivery Services

Optimizing routes in areas where 99 Cents Only Stores operate can reduce fuel costs and improve last-mile efficiency.

📊 Data Analysts & Market Researchers

Add geo-location data to dashboards, reports, and models. Blend it with census or income data to uncover deep consumer insights.

If you’re working with location intelligence, this kind of granular retail footprint data is gold.

What’s Included in the Data?

At RealDataAPI, we scrape directly from the brand’s official store locator to ensure high-quality, real-time data.

You get:

  • 🏪 Store Name & ID

  • 📍 Full Address (Street, City, State, ZIP)

  • 🌐 Latitude & Longitude

  • Store Hours

  • 📞 Contact Info

  • 🗺️ Store URL or locator page

Delivered in CSV, Excel, JSON, or through live API access — however you prefer to work.

How Our Walmart Scraper Works

No need for code, no scraping headaches, and no worries about accuracy. We’ve already built a custom scraper that:

  • Navigates the official 99 Cents Only Stores locator

  • Pulls real-time information

  • Cleans and formats the data

  • Delivers it to you fast — in the format you want

We also offer recurring data pulls (daily, weekly, monthly) for clients who want to monitor store openings, closures, or geographic expansion over time.

Why Not Just DIY?

Sure, you could build a scraper yourself — but if you’ve ever tried web scraping, you know the drill:

  • HTML changes break your script

  • Bot detection kicks in

  • Data comes out messy or incomplete

  • Maintenance becomes a nightmare

That’s why more professionals trust RealDataAPI. We handle everything from backend code to data cleaning, so you can focus on insights — not infrastructure.

Real-Life Example: Retail Expansion Planning

Let’s say you’re a fast-growing beverage brand looking to distribute in budget stores. You want to prioritize markets with high demand and existing retail activity.

Using our 99 Cents Only Store data, you map all store locations across California. Then you overlay that map with income data and demographic info. You notice clusters of stores in low-to-mid-income neighborhoods that align perfectly with your ideal buyer profile.

Boom. That’s how smart data turns into smart growth.

The RealDataAPI Advantage

We’re not just another scraping service. We’re built for precision, customization, and scale. Here’s what makes us different:

  • ✅ Real-time data straight from the source

  • ✅ 100% customizable (you choose fields, filters, format)

  • ✅ Human support — real people who understand your use case

  • ✅ Affordable pricing with flexible plans

Need competitor data? Want to compare 99 Cents Only Stores with Dollar Tree or Family Dollar? We’ve got you covered.

Ready to Get Started?

Whether you need a one-time dataset for a project or ongoing API access to monitor changes in-store locations, we’ve got a plan that fits your needs.

👉 Check it out here:
https://www.realdataapi.com/store/scrape-99-cents-only-stores-locations-data-in-the-usa.php

Robert Brown

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