What Kind of Data Can You Fetch using Store Location Data Scraping Services?

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The retail store data location greatly aids the company’s ability to pinpoint the exact position of its firm. Many different forms of data are merged to identify the various sorts of data. The main advantage of this service is that it aids in evaluating potential business locations and determines the population’s stability.

You do not need to visit every site to scrape store locator data. Web scraping from store locators is one of the most excellent and economical services offered by worth data scraping.

Store Location Data Scraping Services

Our store location data scraping service can help you find competitors’ locations, which will aid in planning where to expand your business. It can also help you find new business locations where your customers are, the exact location of suppliers, and how to get in touch with all local companies that are crucial to the development and success of your own company. LocationsCloud delivers retail store data scrapers to extract retail store data efficiently. We have delivered store location data extraction projects for more than 275 clients.

List of Data Fields for Extraction Store Locations:

  • Retail Store name
  • Retail Store ID
  • Store Locations
  • Retail Show Brand
  • Latitude/Longitude
  • Store Website URL
  • Retail store Direction URL
  • Address
  • Country/State/City
  • Pin Code
  • Contact details
  • Fax
  • Store Status (closed, open)
  • Store Hours
  • Products
  • Product Category

LocationsCloud can extract data from various categories of Store Locations from any country,

Apparel and Accessories Store Locations Data

As per 2023 reports, Lee is the most significant apparel & accessory store in the United States in 2023. Based on the number of outlets, Lee, Crocs, and Bunnies By The Bay are the most prominent clothing and accessories retailers in the United States in 2023. Lee has 5,535 sites spread over 49 states and territories, making it the company with the most locations. Crocs has 3,698 locations in the US, while Bunnies By The Bay has 2,027. These three collectively account for 53.75 percent of the top ten American apparel and accessories retailers.

Web Scraping

Car Dealer Locations Data

Based on the number of outlets, Chevrolet, Ram Trucks, and Chrysler are the major

car dealerships in New York in 2023. Chevy has 124 sites spread throughout 119 cities, which is the most of any brand. Ram Trucks has 124 outlets in New York, while Chrysler has 123. These three comprise 37.59% of New York’s top 10 auto dealers.

Car Rental Locations Data

As of March 13, 2023, there were 4,158 Enterprise Rentals locations nationwide. With 420 sites or nearly 10% of all Enterprise Rentals stores in the US, California has the most Enterprise Rentals locations.

Computers & Electronics Store Locations Data 

Based on the number of shops, T-Mobile, Metro by T-Mobile, and Verizon Wireless will be New York’s most extensive computer and electronics retailers in 2023. T-Mobile has 439 locations spread throughout 163 cities, which is the most of any carrier. Metro by T-Mobile has 436 locations in New York, while Verizon Wireless has 381. These three collectively account for 54.51% of the top 10 New York computer and electronics retailers.

Convenience Stores Store Locations Data

Based on the number of outlets, 7-Eleven, Circle K, and Alimentation Couche Tard will have the most convenience stores in the US by 2023. With 9,444 stores spread throughout 38 states and territories, 7-Eleven has the most. In the US, Circle K has 5,862 stores, and Alimentation Couche Tard has 3,541. These three comprise 70.7% of the top 10 US convenience stores.

Food Chains Locations Data

According to the number of stores, Subway, Mary’s Gone Crackers, and McDonald’s will be the three biggest food chains in the US by 2023. With 20,622 stores spread across 54 states and territories, Subway has the most. McDonald’s has 13,269 outlets in the US, while Mary’s Gone Crackers has 18,278. These three accounts for 54.46% of the top ten US food chains.

Data Scraping

Gas Stations Locations Data 

According to the number of locations, Exxon Mobil, BP, and Shell will have the most significant gas stations in New York in 2023. Exxon Mobil has the most sites, with 775 spread over 374 cities. In New York, BP has 429 locations, while Shell has 291. These three represent 68.52% of New York’s top ten gas stations.

Grocery Store Locations Data

Based on the number of outlets, Walmart, Dollar Tree, and Family Dollar will be New York’s biggest supermarket chains in 2023. The company with the most locations is Dollar Tree, which has 337 locations spread over 198 cities. Family Dollar has 307 outlets in New York, while Walmart has 99. These three accounts for 73.49% of New York’s top ten supermarket businesses.

Personal Care Store Locations Data

According to the number of locations, the most significant personal care retailers in New York in 2023 are GUNNAR Optiks, AFRO SHEEN, and Wakse. Most locations are located by GUNNAR Optiks, which has 237 locations spread throughout 137 cities. In New York, Wakse and AFRO SHEEN both have 145 sites. The top 10 personal care retailers in New York are made up of these three by 49.82%.

Pharmacies Store Locations Data

Depending on sites, CVS Pharmacy, Walgreens, and Health Mart are the most significant pharmacies in New York in 2023. Most sites are located by CVS Pharmacy, which has 558 locations spread throughout 263 cities. Health Mart has 275 outlets in New York, compared to 516 for Walgreens. Together, these three accounts for 65.58 percent of the top 10 pharmacies in New York.

Advantages of Extract Retail Store Locations Data: 

  • Increased sales by pointing them to your products with advice.
  • Saves money and time.
  • Anytime a visitor asks a question, it will answer them.
  • Safeguard your distribution network and cherished customers.
  • Your website will become more prestigious and valuable as a result.
  • Gather data for market research
  • supporting a vast number of websites
  • Everything will be digital and centralized.

Read More Article: How to Scrape Facebook Content Using Python?

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