Dollar stores are a multibillion-dollar sector that is growing in popularity, with new locations opening every day and raking in profits. In the United States, there are now over 32,000-dollar shop establishments.
Given these companies’ aggressiveness, the number of dollar shop outlets could expand by 20% by 2025. We looked examined the locations of the country’s three largest dollar shop chains: Dollar General, Dollar Tree, and Family Dollar.
Insights In Brief
Dollar General operates 16,191 locations across 44 states.
There are 7,296 Dollar Tree locations across 48 states.
Family Dollar operates 9,489 locations throughout 46 states.
In the United States, there are over 32,000-dollar shop establishments.
Dollar stores outnumber Subway in terms of the number of locations (24,044).
How Many Dollar Stores Are There In The US?
In the United States, there are already over 32,000-dollar stores. With 3,379 locations, Texas has the most dollar stores.
With 16,191 locations in 44 states, Dollar General DG 220.3 +1.4 +0.6 percent is the largest dollar store network. Dollar Tree DLTR 103.2 +0.7 +0.7 percent has the most stores across the country, with 7,296 locations in 48 states. Family Dollar, which is owned by Dollar Tree, has 9,489 locations in 46 states.
Dollar Tree and Family Dollar businesses are recognized for providing home items, accessories, and necessities for as little as $1 and as little as $10. The two bargain retailers used to be rivals, but Dollar Tree bought Family Dollar for $8.5 billion in 2015.
Dollar Stores With Most Locations Per State
The top dollar store in each state is depicted on the map above. Dollar General has a stronghold in 30 states, the majority of which are in the Midwest and South. Family Dollar outnumbers its competitors in 11 states, seven of which are in the western United States. Dollar Tree has a monopoly in only eight states, three of which are on the west coast.
Although the dominion of Dollar General and the Dollar Tree family is enormous, dollar stores’ proclivity to open near traditional merchants makes them a threat.
Dollar General Locations US
Dollar General has 16,191 locations in 44 states. Texas (1,543), Florida (906), and Georgia are the top three states with the most stores (889). The eastern side of the United States has a significant concentration of Dollar General Stores. Alaska, Hawaii, Idaho, Montana, Washington, and Wyoming are the only states without a Dollar General shop.
Around 25% of Dollar General’s products are priced at $1 or less, while 80% of its things are priced at $5 or less. Fast Track, a self-checkout meant to increase in-store labor productivity and consumer convenience, is the latest digital innovation from the retailer. It has also launched the DG Fresh self-distribution initiative, which focuses on the self-distribution of fresh and frozen products.
Family Dollar Locations US
In 46 states, there are 9,489 Family Dollar stores. Texas (1,243), Florida (730), and North Carolina are the states with the most Family Dollar stores (559). Despite its concentration in the eastern states, Family Dollar outnumbers Dollar General and Dollar Tree in New Mexico, Colorado, Arizona, Nevada, Montana, Idaho, and Wyoming.
Dollar Tree Locations US
Dollar Tree stores can be found in every state, with 7,296 locations in 48 states. California (609), Texas (593), and Florida are the states with the most Dollar Tree locations (540). Only Washington has no Dollar General or Family Dollar stores, but it does have Dollar Tree stores.
Since August of this year, 283 new Dollar Tree locations have opened. The majority of Dollar Tree’s clients are middle-class suburbanites. Dollar Tree Inc. purchased Family Dollar for $8.4 billion in 2015. Despite the potential for dollar-store chains to expand, it is a competitive market. Dollar General, Dollar Tree’s main competitor, is experimenting with smaller-format stores called DGX sites geared at younger customers. The locations of Dollar General and Dollar Stores Inc. are shown on the map below.
The Top States With Dollar Stores
The chart shown below will display the top 15 states having the majority of Dollar General, Dollar tree, and Family Dollar Locations:
Texas has more dollar stores, with 3.4 thousand, followed by Florida (2.1 thousand) and Ohio (1.1 thousand) (1.7K). Dollar Tree stores outnumber Dollar General and Family Dollar stores in California.
Although California is a top state for major stores such as Walmart, Target, and Whole Foods, it ranks 14th for Dollar Stores.
Increasing Competition From Retailers
Because of additional discounts and smaller storefronts, dollar stores are able to compete with big names. However, several cities have enacted legislation to limit the expansion of dollar stores, claiming that they deliberately cluster multiple businesses in low-income regions. This policy makes it difficult for supermarkets to open, limiting people’s access to fresh food.
Walmart has already been experimenting with smaller-store concepts in an attempt to drive dollar retailers out of business by offering lower prices. Amazon has added a new $10 and under the section on its website. These items are similar to what you’d get in a dollar store, but Amazon offers free shipping on them.
Dollar businesses are still profitable, but they have their job cut out for them, especially with Amazon and Walmart seemingly launching new budget-friendly categories every day.
For searching the locations of Dollar stores in the US using location analysis, you can contact Locationscloud today or request a quote!!
Even if you haven’t taken a geography lesson in a while, latitude, longitude, and the Global Positioning System (GPS) is likely to play an important role in your daily life – especially if you use Google Maps frequently.
Using Google Maps to get the GPS coordinates for a given location is simple, and it can be beneficial if you’ve been looking for a highly specific location, such as an exact spot in a park wherever your buddies are, or a property in the mountains on a huge piece of land.
Below given is the process to find the coordinates on Google Maps and copy them to get the precise location on your mobile or computer.
How To Find Google Maps Coordinates On The Mobile App?
1. Open Google Maps on your Mobile device whether iOS or Android.
2. Enter the location, and select and hold to drop a pin on the map of the location you want the coordinates to search for.
3. Scroll down to look for the coordinates.
4. Tap the coordinates and copy them to your phone’s clipboard.
5. Paste the Coordinates in the search bar at the top of the screen.
You may also send these coordinates to others via text message or email, which is useful if you want to share a particularly specific location with friends.
Searching Google Coordinates on Google Maps on Your Computer
Open the required browser
Search in the location for the coordinates you require.
Right, click on the red balloon to look in the menu.
Click “What’s here?”
6. A new box will emerge, with the coordinates of the place in the blueprint.
7. Click on the coordinates.
8. The coordinates you’ve chosen will show in a new destination box on the left.
9. To copy the coordinates to your clipboard, double-tap them and then hit Command C.
If you are looking to extract the Google Maps Coordinates, then you can contact Locationscloud today or request a quote!!
The most common type of theme map is a choropleth map. When geospatial data is linked to some enumeration units, they are extremely effective (Counties, provinces, districts, etc.). The distinct polygons inside a layer of a choropleth map have varying shades of colors signifying a specific property of that polygon (in our case, the number of locations). We’ll make a choropleth map for the United States, with each state’s color graded proportionately to its number of sites.
The main steps for developing the Choropleth map are:
• Importing the polygon vector map.
• Importing the CSV file as a point vecto
• Calculating the number of locations inside each state using the ‘Count points in’ tool.
• Editing the symbol for getting the Choropleth map
• Exporting map as an image or PDF.
Importing Polygon Vector Map
To create a Choropleth map, we must first obtain a country/region polygon vector map. A state in the United States is represented by each polygon in the vector map. Extract data from zipped folder by downloading the compressed shapefiles. By double-clicking on the.shp file in the Browser toolbar, you can add it to QGIS (or dragging and dropping).
Importing The CSV File As A Point Vector
For this blog, we will use the entire list of Subway store locations in the United States. This information will contain every store’s latitude and longitude coordinates, which can be plotted as a point over the map.
Every record in the CSV file has fields named Latitude and Longitude, based on which we can plot the points. Click on the Layers tab from the main toolbar, then select addLayer>Add Delimited Text layer
In the ‘data source manager’ window that will pop up, browse the CSV file as the file name. Choose the Longitude and Latitude as X field and Y field, respectively. You will also need to select the respective Geometry CRS (Coordinate Reference System) depending on the location or country used.
The Add button overlays the polygon layer with the various retail outlets from the CSV as points. As you can see, the layer looks like this:
Calculating The Number Of Locations Within Each State Using ‘Count Points In Polygon Tool’
The QGIS tool ‘Count Points in Polygon’ can be used to represent the number of locations within each state. This tool created a single polygon vector shapefile with the ‘NUMPOINTS’ attribute. It tells you how many points are in a polygon.
Count Points in Polygon may be found under the Vector toolbar> Analysis tools > Count Points in Polygon.
The window below appears. Set the data placement point vector file to ‘Points’ and the polygon shapefile layers to ‘Polygons.’ The polygon shapefile will be given the attribute ‘NUMPOINTS,’ which refers to the number of places inside each state.
A layer mask called ‘Count’ is created and displayed in the layers tab as well as the image canvases area:
Editing The Symbology To Get A Choropleth Map
The symbolism of the new layer can be tweaked to provide an appropriately graded color that denotes the number of places in each condition. Go to the Symbology tab by right-clicking the Count layer and selecting properties.
Check out the symbology menu, select ‘Categoriazed’. Set the ‘value’ of symbology to the newly created attributes ‘NUMPOINTS’. Click ‘Classify’ and then select the appropriate color ramp.
After editing the symbology, the map will appear as:
On the map, each state can be identified with its appropriate name. Go to the Labels tab by right-clicking the Count layer and selecting properties.
Select ‘Single Labels’ as from the label menu, then the table’s ‘Value’ field as that of the label. Each polygon is labeled with the state’s ‘NAME.’ Set the font, color scheme, font size, opacity, and other parameters to your preference.
As you can see, the completed map looks like this. States with a greater number of sites of the particular provider considered are represented by darker tones of blue.
Export The Map As An Image Or PDF
Visit project>Import/Export>Export as Image for png format or Export as PDF to achieve the final map in PFG format.
The above Choropleth is used to compare every state based on the number of subway stores in it.
But it is comparable to the population choropleth of the United States.
Choropleth For Number Of Subway Stores
This is because of the number of retailers for each state is frequently significantly associated with the population, i.e., states with more people will have more stores. We may calculate a new statistic called “the per capita” locations by the state to gain a more understanding of choropleth. The sufficiency of a state’s stores is represented by this variable. Even if a state’s population is bigger, the number of stores it has maybe lower.
The number of sites per person (per capita) in each state in the United States is visualized.
Following the procedures below, we may construct a choropleth of per capita subway locations using population data:
• Make a CSV file with the necessary population data.
• QGIS should be used to import the CSV file.
• Join the population data to the map layer’s attribute table.
• Calculate the number of sites per individual using field calculations.
• Using the new statistic, create a choropleth map.
Create A CSV File Of Required Population Data
The Census Bureau’s website provides access to the United States’ population data. Each state’s population estimates for the years in question are included in the excel file. A new file can be created with the name of the state and its population projections for 2019.
The New File Is:
Assuring that the population column type is the ‘Number’ so that QGIS will read the field as number type and then, the analysis could be done depending on the population. Select the population column> Right-click> Format cells, and check if the category is the number. Save the file in CSV format.
Importing the CSV file to QGIS
To Import The CSV To QGIS
Select layer>Add layer > Add delimited Text Layer
The CSV File Added To QGIS Without The Use Of Geometry Appears As A Table In QGIS:
Right-click the new table layer-population_us_2019>open attribute table to see the content of the layer:
Join the Population Information with Attribute Table of The map Layer
To join the population data to the ‘count’ layer. Right-click on the “Count” layer>Properties>Joins>Click Add icon
Choose ‘Join Layer’ for the population table. Choose ‘Join field’ from the population table and ‘Target field‘ from the map layer. Ensure that the names in each tier are the same. Fields that aren’t compatible will not be combined.
Open the attribute table of the “Count” layer and ensure if a new field is added to the attribute table with population estimates of every state.
Perform Field Calculations To Get The Per Capita Number Of Locations
The per capita number of locations can be calculated using the attribute table’s division function. The number of locations (NUMPOINTS) and the population (population us 2019 Population) are represented by two columns in the attribute table of the ‘Count’ layer. To find out how many locations each person has in each state;
Right-click on the ‘Count’ layer>Open attributes table>Click Open field calculator icon from the menu bar.
Choose to make a new field from the popup that appears. The computation result is stored in a new column in the attribute table. Choose an Output field type and a name for the output field. Because the population was so large in comparison to the number of places, a decimal number (real) was chosen, as well as a greater precision value. Provide the equation ‘NUMPOINTS / population_us_2019_Population‘ below the Expression tab and click OK.
A new column, locations_per _person, has been added to the attribute table. This number represents an estimate of how many sites are available per person in each state. The new choropleth map is created using this value.
Make A Choropleth Using The New Statistic.
As previously said, modify the symbology of the ‘Count’ layer, this time assigning ‘locations per person’ as the ‘Value’ for symbology.
The latest Choropleth for the number of subway stores per person by state is as achieved:
Contact locationscloud for any kind of Research analysis and report!!!
We all are always eager to know the best movie or the best comedy show of all time. For all such confusions, reviews, ratings, and people all over the world utilize IMDB, an online library of such material, for trivia linked to the world of movies and television.
While people add the information, the database is owned and administered by an Amazon subsidiary. It began as a database in 1990 and was converted to the web in 1993. While anybody can examine the material on the website, if you want to make changes to the facts or add reviews, you must first register. In this blog, we'll look at how to use Python to scrape IMDB movie data from the web.
IMDB allows users to give ratings to movies and small screen shows, and these ratings have provided the basis of several lists used by movie fans and many others to establish a personal hit list. While IMDB doesn't give an API for querying its data, it does provide a textual download option. A DIY code can also be used to scrape the data.
How is Web Scraping of IMDB Data Done?
We will scrape 2 different sets of data from IMDB
The top 250 films on IMDB
The top 250 television series on IMDB
For each movie or show on these lists, we'll scrape particular data points. You will not want to scrape all or most of the information at once, so we've included the flexibility to adapt a parameter's value to retrieve just the top-ranked results.
Before we begin, you'll need Python 3.7 or higher, as well as the BeautifulSoup requirement and a text editor. Then you may use the python command to run the code given below. We have hardcoded the links to the two lists we mentioned earlier in the code, so no user input is required.
There are three distinct functions in the code.
get_top_rated_IMDB_hits- The execution begins here. The URL of the relevant list is sent as an argument to this function. It could be the URL for a movie list or a TV show list. We also specify the filename in which the JSON result should be saved, as well as the number of major results we desire. We retrieve certain data points from the web page itself, including the movie name and ratings, and then call the get_extra_details function to get additional data points without having to go to the movie/show specific URL.
get_web_page_content: This function gets the HTML content of the URL supplied and converts it to a BeautifulSoup object that can be processed easily. This function will return this item.
get_extra_details: This function leverages the movie or show-specific URL supplied in by all the get top-rated IMDB hits function to retrieve additional information such as the synopsis, top-star names, and director—information not available on the ranked-list homepage.
The function get top-rated IMDB hits have been called twice, once before with the movies URL and once with the TV series URL. We've also set the count to two because we only need the information for the two candidates on both lists. When you run this code, two files will appear in your directory: “movies.json” and “tv shows.json.”
The Data Points that We Scrape are:
For every movie or TV show, we scrape the other data points are:
IMDB link for the particular show/movie
It's worth noting that not every data point for each movie or show may be available, but whatever it will be scrapped. The JSON below displays the top two films from IMDB's top-250 film list, as retrieved by running the code above.
While we collected the data exactly as it is now and made only minor changes to the data, the data can be cleaned up even more to make the data points more usable. Here are several examples:
a) On the year, removing the brackets.
b) Separating the ratings and the number of people who submitted their ratings into two different data points.
The JSON below displays the top two television series we found on the second webpage. There are a variety of online scrapers accessible. Let's have a look at how we can scrape IMDB information for multiple TV shows from their website. The code below provides a full explanation of how to accomplish this.
Only two items were selected from each list. You can execute the script for all 250 shows or movies, resulting in a large JSON file. You can save the extracted data in a database. However, for using the code on such a large number of connections. When web scraping IMDB data, you'll need to follow some recommended practices and keep some limits in mind.
If you executed this code and modified the value of “nos” to, say, 250, the code would run on all 250 movies and television series. There's a good probability that the website will detect artificial traffic from your IP address and prohibit you. You'll need to employ technologies such as IP rotation. You can optionally set a delay of a few seconds between collecting each URL's HTML information.
Even if the majority of the data you scrape was produced by volunteers, Commercial use of the data may be subject to specific restrictions. Wherever you use data scraped from various web pages, you must adhere to the rules. This is how you can use Python to scrape IMDB data from the web.
Our team at Web Screen Scraping will assist you for with hassle-free web scraping service experience where someone else takes care of the data while you focus on your core business strategy. We are proud of our DaaS solution, in which we handle everything. From scraping to retrieving the scraped data, we've got you covered.
Over the next 5 years, convenience store chains in the United States will outperform all other retailers. This is because grocery stores are closer to consumers’ residences and have fewer crowds than huge supermarkets or hypermarkets, both of which are vital precautions in the event of an epidemic.
Shell, Exxon, 7-Eleven, Chevron, Circle K, BP, Speedway, and Casey’s are the main convenience store chains in the United States.
Observations In Brief:
The largest convenience store chain in the United States is Shell (11.6K).
In the United States, there are over 54,000 convenience stores.
Exxon has more convenience stores per state (12 states).
The state with the most stores (6.4K) in California.
89 % of Circle K locations are open 24 hours a day, 7 days a week.
How Many Convenience Stores Are There In The US?
We evaluated 54,126 stores from 8 grocery stores across the United States.
Shell is the biggest convenience store business in the United States, with 11,563 locations across 49 states. Having 10,131 locations in 46 states, Exxon is the second-largest retailer. 7-Eleven is in third place, having 8,845 locations in 35 states.
Convenience Store Chains With Most Locations Per State
The top convenience shop in each state is depicted on the map above.
Exxon outlets have a stronghold in 12 states. Chevron is in the second spot, with stores in 11 states, most of which are on the west coast. Despite having the most convenience store locations, Shell only holds a monopoly in seven states, five of which are in the southeast.
Only 16 states in the US have Casey’s, but it rules supreme in five of them. Convenience stores are so widespread in America that 93% of the population lives within a few minutes of one.
Shell Convenience Stores
In the United States, there seem to be 11,563 Shell stores. The states with the most Shell stores are Texas (1,574), California (1,166), and Florida (1,029). Shell convenience stores can be found across the country, except for Montana.
Shell offers grocery credits that may be used at participating Shell locations. Customers can shop at Stop and Shop, Hy-Vee, Fred Meyers, Dillions, Jewel Osco, Kroger, and its various companies in their local grocers. Moreover, a quarter of Shell shops participate in the reward scheme.
Exxon Convenience Stores
In the United States, there are 10,131 Exxon stores. The states with some of the most Exxon stores are Texas (1,565), Florida (797), and New York (600).
7-Eleven Convenience Stores
In the United States, there are 8,845 7-Eleven locations spread throughout 35 states. The states with the most 7-Eleven locations are California (1,783), Texas (1,258), and Florida (932).
A typical 7-Eleven store is compact, with a limited selection of food, drinks, and other high-turnover items. 7-Eleven stores, contrary to their name, are open 24 hours a day, seven days a week.
Chevron Convenience Stores
Chevron has 7,433 locations in the United States. The states having the most Chevron stores are California (2574), Texas (1115), and Georgia (623).
Chevron’s Extra Mile services, which are well-stocked, are available in 77 percent of Chevron locations. Beer and wine are sold in 16% of Chevron locations.
Circle K Convenience Stores
There seem to be 6,437 Circle K locations in 41 states in the United States. The states having the most Circle K stores are Florida (879), Texas (801), and Arizona (604).
Kangaroo Express, On the Run, Corner Store, and Flash Foods were acquired by Alimentation Couche-Tard Inc., the owner of Circle K stores, and rebranded as Circle K locations. Currently, 20% of Circle K locations are franchises that have been rebranded.
BP Convenience Stores
In the United States, there are 4,101 BP shops in 31 states. The states having the most BP stores are North Carolina (601), Wisconsin (572), and Illinois (567). BP locations are primarily found on the east coast and in the Midwest.
Speedway Convenience Stores
In the United States, there are 3,399 Speedway locations. The states with the most Speedway locations are Ohio (472), New York (326), and Indiana (301). Only 31 states have Speedway stores, with the majority of them located in the Midwest and along the east coast.
Casey’s Convenience Stores
Casey’s, a convenience store chain based in the Midwest, with 2,217 locations in 16 states. The states having the most Casey’s stores are Iowa (533), Illinois (451), and Missouri (328).
Casey’s isn’t far behind Circle K and 7-Eleven in terms of store footprint. This iconic Midwest convenience shop goes above and beyond standard c-store fare by offering excellent pizza, bakery, and soft-serve options. Casey’s offers online shopping and pizza delivery at 35% of its locations.
States With Highest Number Of Convenience Store Chains
With 6,440 convenience stores, California leads the way, followed by Texas (6.2K) and Florida (6.2K) (4.6K).
How Many Convenience Stores Are Open 24 Hours?
With 89.2 % of locations open 24 hours a day, Circle K has the most convenience stores open. With 65 percent of stores open 24 hours a day, Speedway is second, followed by Shell with 54.2 % of stores open 24 hours a day.
Chevron is the convenience store with the lowest percentage of locations open 24 hours a day, seven days a week (18.8 %). The percentage of stores that are open 24 hours is shown in the stacked column chart below.
Future Of Convenience Store Chains
With significant government support and public investment, the convenience store industry has already established itself as a central concern of the retail market. Increased rivalry from dollar and discount stores built by major food and drugstore groups is one issue. Automobiles have been more gasoline, and Americans are gradually shifting to hybrid electric vehicles, which do not need as much if any, petroleum. C-stores should be locations where people want to buy, not merely a location to just go when there isn’t a better option, to be competitive in a dynamic retail landscape.
The Locationscloud Data Store keeps track of retail, supermarket, fast food, financial, and healthcare store closures and openings. You can access datasets with data points like store openings, store closures, parking facilities, in-store delivery options, services, subsidiaries, nearby competitor stores, and much more by subscribing to our store data plans.
For any queries, contact Locationscloud, today!!!
How Locationscloud Is Used In Fetching Grocery Delivery Data?
People are rejecting weekly visits to their local grocer in favor of buying groceries online due to the ease of access and convenience provided by online grocery delivery companies. Between 2021 and 2031, the industry’s income is predicted to grow by 20% yearly. Order volumes have reached new highs for companies like DoorDash, InstaCart, Amazon Fresh, and others.
Online grocery delivery has begun to gain traction as a result of advances in digital technology, logistics assistance, and busier-than-ever career and personal lives. Web scraping is an option that can help you reach closer to your company goals if you’re seeking to enhance and extend your grocery delivery service or establish one from scratch.
Why Scrape Grocery Delivery Data?
Every grocery delivery company that uses a data scraping service may have distinct goals. You can choose to target all of the data fields available or just a handful that is critical to accomplishing specific business objectives. Here are a few examples:
Consumer Buying Patterns
Customers can now order groceries online and have them delivered to their homes as delivery operations have improved. The rise of this market is being fueled by the user-friendly interface of popular platforms, various payment choices, and additional savings. E-commerce alternatives will continue to expand, and retailers will be better able to comprehend their customers’ shopping preferences.
Enhancing Pricing strategies
If your brand is included on a grocery delivery platform, you’ll want to focus on a competitive price approach. Similarly, if you run a supermarket Delivery Company, competing platforms’ discounts and offers can assist you in better your marketing strategy.
Which Data Can Be Scraped From Online Grocery Delivery Platforms?
Online delivery services can be scraped for a variety of categories. The following are some of the most often swiped data points:
• Store/Grocery name
• Product name
• Product image
• Product SKU
• Product Price
• Best Offers
• Available services
• Customer Reviews/Ratings
After the required data has been obtained, it is cleaned and subjected to several quality tests before being delivered. All of this information is given systematically, allowing associated firms to gain useful insights.
What Can Be Done With Scraped Grocery Delivery Data?
Every business involved in grocery sales and delivery can benefit from web scraping services. Given the current state of the industry, it may be an opportune time for a company to benefit from dependable web scraping solutions to obtain a competitive advantage.
Here’s a quick rundown of how different businesses can use stolen grocery delivery data.
1. Grocery Retailers
If you currently have an offline grocery store, you can modernize your operations and offer clients the convenience of shopping online. Before registering with a major grocery delivery company, it’s a good idea to look into what local merchants have to offer in your neighborhood.
2. Online Retailers
As an online shop with products in a variety of categories, you should consider adding grocers to capitalize on this growing market. Because groceries are necessary, this can be a fantastic strategy to increase sales and revenue. Furthermore, specific grocers with strong brand value may attract more customers, which may assist boost sales of other things you sell.
3. Bulk Grocery Dealers
If you’re a wholesaler selling grocery products to shops, knowing what products are popular with consumers might help you improve your offerings. Scraped ratings and reviews can provide precise information about popular product categories across areas and locales, allowing you to attract additional bulk product dealers.
4. Grocery Platform Competitors
Web scraping is an efficient way to strengthen your business strategy as new companies enter the market regularly. If you’re going to establish or already have an online grocery business, you know how important data collected from competitors’ sites may be. It can give you valuable information about the entire market, top sellers, pricing, and more, all of which can help you achieve a competitive advantage.
5. Expansion of the Company
If you wish to expand your grocery delivery services to a different city or region, you’ll need a comprehensive list of existing food delivery providers and merchants. You may leverage location data to assist you match your expectations and requirements by using a customized web scraping tool.
Solutions To Collect Grocery Delivery Data
Because of its convenience and ease of use, the grocery delivery industry is continuously growing. Monitoring grocery delivery data necessitates the use of a web scraping service that can reliably collect data according to your timetable. Reports of Locationscloud can help you get started by creating unique solutions to extract the data points you require.
Locationscloud is one of the leading research and report providers in the world, able to collect publicly available data from anywhere on the internet. Locationscloud pre-reports make it simple and cost-effective for small businesses, students, and analysts to harvest data from prominent websites.
Whole Foods is having around 503 supermarkets in the USA as of 2021. The hypermarket chain is generally famous for its free products of flavors focusing and artificial colors on organic collections. After the acquirement by Amazon in 2017, Whole Foods is being increasing faster.
Whole Foods Store Locations Amongst The USA
Amazon’s main difficulty in groceries with Whole Foods Stores locations USA is that its store footmark meaningfully lags behind its opponents. Even with the animate grocery chain, Amazon only has a 10th of the native stores that Walmart has, and it is behind Target. Related to Costco, Whole Foods has closely as much stores but Costco stores are three times bigger than the normal Whole Foods.
Number Of Whole Foods Stores In The USA By Province
Whole foods store locator is located in 349 provinces and Chicago has 12 stores with the maximum total of Whole Foods stores.
Number of Whole Foods Stores in the US by State
California has around 92 Whole Foods Stores; Massachusetts (33), Texas has (36). The below chart show the top 10 province Whole Foods Market stores numbers:
Number of Whole Foods Stores in the US by City
California has around 92 Whole Foods Stores; Massachusetts (33), Texas has (36). The below chart show the top 10 province Whole Foods Market stores numbers:
How Whole Foods Is Managing Covid<b/>
As the corona pandemic continues, restaurants and stores are expanding and maintaining their security policies. Numerous stores are not allowing any customers without face masks, and Whole Foods Market Locations is one of them. Whole Foods offers free masks to customers back in 2020.
Covid also saw customers move from in storehouse shopping to online shopping and this run the Whole Foods Store Locator changing a few of their store to online stores. In addition, customers also started selecting curbside pickup options when it comes to grocery shop. However, in June last year, only 32% of Whole Foods stores provide curbside or in-store pickup decisions.
<b>Amazon Services Provided At Whole Foods Locations
Whole Foods API provides several Amazon relayed services to their clients via their stores like
Amazon Grocery Delivery & Pickup
Amazon provides free one-hour pickup and two-hour delivery of Whole Foods Market products with Primary membership at 473 Whole Foods places.
Amazon Hub Locker
Amazon Locker is a safe, self-service kiosk that permits clients to pick up quotations at a time suitable for them. The Amazon security service is feasible at 456 Whole Foods Data.
Amazon provides a refund option at 453 Whole Foods Market stores all over the nation. A box-free, label-free refund option is feasible where clients can fetch the product and QR code produced after a return. Restores are also feasible at Amazon Go, Amazon Books, and Amazon Fresh.
Bars And Eateries
Whole Foods has an in-store fast-casual eating place feasible at all of its places. Along with expensive food and beverages. Whole Foods as well provides wellness and community actions and a ‘food hall experience’ with distinct curated and menus choices of local wine and sourced beer.
Future Trends At Whole Foods
Whole Foods in the future game during this Covid, the business hosted what different foods clients will be drinking and eating in 2021. Whole Foods get ahead a change for 2021 where users takes more time in their foods, testing with different takes on spices, pasta, and sauces. Center store origination will present products that gain consumer interest. Upcycling will also be in swipe, with customer’s importance in having optimistic waves on the environment.
The Locationscloud Data Store traces openings and store closures that keep attention on discount stores, hypermarket stores, healthcare, and department stores. You can subscribe to our datasets and store data plans with data facts like store closures, store openings, in-store pickup options, parking availability, closest competitor stores, subsidiaries, and many more.
If you are looking for the best List of all whole foods locations data, then you can contact Locationscloud for all your queries.
When it comes to design development, advances facilitated by location data are continuing to revolutionize company standards and procedures. It is now possible to estimate which sites are most likely to enhance sales for seasonal, permanent, and mobile enterprises using knowledge from new data streams.
Food trucks, which are a popular lunchtime option for many, operate on a location-based business strategy. Food trucks, on the whole, offer identical lunch selections for around the same cost, making it more difficult for the companies to stand apart from adjacent competitors. As a result, the placement of a food truck can decide the success of the business.
Taking an instance of Starbucks Locations, let us understand how the world’s leading coffee chain Starbucks, plans its store location to get the best business profit.
These are the only factors that Starbucks evaluates, but based on Rong Di’s report and our research, those were some of the characteristics that Starbucks considers while evaluating shop locations. The following is a list that is not in any particular order.
1. Neighborhood Income
Starbucks analyzes the range of aspects before introducing a new shop, including regional income. A new store should be located in an area with a median family income of at least $60,000.
Starbucks’ primary goal is to motivate communities in which the majority of citizens are aged between18-44.
3. Landmarks / Industrial Parks
Choosing a store placement near the industrial area or offices will bring in more clients. Starbucks works in the same way as they seek places near offices, colleges, or city centers.
You can get helpful info from network traffic, especially when deciding a new retail site. There is a good likelihood that your business will flourish if several thousand vehicles pass by the place where you intend to build the business. A daily traffic figure of at least 25,000 automobiles is preferred by Starbucks.
The visibility of a business’s location is crucial. Starbucks prefers to set their shop at signaled intersections with multiple entry points. Because they want to be as prominent as feasible, they pick the normal route with convenient entry and departure places.
<b>6. Commute Side
Coffee is the first thing we require in the morning. Because many of us eat breakfast on the way and from working rather than on the way home, one side of the journey is favored.
7. Location About Other Businesses
The proximity of Starbucks to other companies matters a lot since it has a significant impact on the consumer growth. Starbucks aims to have a mix of national and regional commercial landlords adjacent to them and to increase foot traffic to its outlets.
Starbucks likes a dedicated parking spot for a minimum of 20 automobiles, which may vary from country to country, city to city, or location to location.
9. Crime Rates
Yes, there are crime rates. Safety is a major priority for all large retailers and food businesses. Starbucks analyses the region they are about to visit for crime statistics such as overall crime, personal crime, murderer, rapes, theft, assault, gang activity, and vehicle theft to ensure that they are looking at a safe spot.
10. Ownership Of A Smartphone
Customer happiness is the most important factor in any company, right after safety. Customer satisfaction increased after Starbucks launched an app and added a “make payment” feature, as customers no longer had to wait in long lines. Furthermore, they are aware that we enjoy seeing the number of stars we have earned and when we will receive our next reward.
Starbucks studies locations with strong mobile phones to develop their company and then targets marketing and cashback in areas with lower mobile phones to encourage consumers to use their apps.
Using GIS To Expand Your Business
Starbucks uses location information not only to design their future shop but also to expand the ones that are already open. Starbucks considers a variety of elements; let’s take a look at a few of them.
Starbucks is very conscious of the environment in which it operates. They find references on all the big events taking place in the area and utilize this information to organize staffing and inventories.
Starbucks, like the internal indicators, is cleverly leveraging AccuWeather’s real-feel weather data to determine the weather ahead (one week or so). That was not brilliant at all. What’s brilliant is that they anticipate locations where the temperature will be really hot, and they understand that some people prefer flavored drinks on hot summer days.
A New Age Of Site Planning
New information streams are leading to a new age of design and development, allowing previously unimaginable ideas to become a reality. Indeed, as this food truck example shows, the success of design and development means being able to access and work in a variety of data sources, from conventional sources to different phases datasets, to determine, recognize, and evaluate the effect that communications will have on someone’s sales revenue.
Want to know more about this? Contact Locationscloud Now!
Extracting Food Delivery Data
The online food delivery segment of is projected to reach around $127 billion in 2021 end as well as the revenue is projected to increase at around $192 billion by 2025. All these platforms and apps are having thousands of listings for food restaurants and are used by millions of customers.
Food restaurants and chains are leveraging big data and analytics to know consumer’s preferences as well as taste. You can use web data extraction services to extract data from ubereats, zomato, swiggy, etc for adjusting prices, better marketing tactics, etc. If you wish to make your restaurant or food delivery business better, food delivery data extraction is the solution that can help you reach your objectives.
Requirement of Scraping Food Data
Data scraping is the process of extracting great data from all the targeted sites or apps. As the competition amongst various restaurants and food delivery apps is continuously booming, food delivery businesses require to quickly take benefit of the data. Details like delivery routes, food preparation time, etc. could improve services as well as help you get a competitive advantage.
The extracted data from these platforms might be utilized in different ways. Some of the finest reasons why you should think about scraping food delivery data consist of:
Additional Customer Usage
Food delivery apps have become go-to solutions for clients, who want to order food online. Though, due to COVID-19 restrictions, eating at home has got importance. This trend might continue in the near future because people don’t wish to take risk of getting infected with the virus while restaurants might be allowed to offer dine-in services.
Getting Modern Restaurant Menus
Mining restaurant data from food delivery apps is among the most effective ways of getting the newest food options given across various restaurant types including multi-cuisine, health foods, fast food, and bakeries. Food data scraping may also assist you in getting different types of cuisines and innovative dishes offered within the areas you live. In case, you have your restaurant, you can always add these dishes into your menu to attract more customers.
Superior Marketing Strategy with Reasonable Pricing
Menu pricing is amongst the moat important aspects for running a successful restaurant business. As you may have customers ordering various foods across various price points, its pricing strategy required to be corresponding to your opponents in the area nearby. Similarly, a significant enticement for the customers when ordering food using a delivery app is the discounts and rewards they offer.
Scraping food delivery data might help you discover the price method of the opponents. This may also provide a quick overview about their marketing techniques.
Examine Customer’s Reviews & Ratings
Customers review and rate restaurants from the place where they ordered food using any food aggregating platform. Reviews usually have significant data about the food quality as well as services of restaurants that might be useful for the competitors. They might target mistakes of other restaurants as well as improve services by offering superior quality services and food to customers.
Which Data to Scrape from Food Delivery Apps and Websites?
Many data fields might be extracted from renowned food delivery apps and sites. Some of the most common data fields include:
Name of the Restaurant
Type of the Restaurant
Offers and Discounts
When data is scraped, it might be cleaned and delivered in the well-structured format.
What to Do with Scraped Food Delivery Data?
You many have different ways where scraped data might be used to optimize different business strategies.
Amalyze upcoming restaurants in your area and test their brand accessibility using data incuding restaurant’s names, types, menus, images, and more
Discount Pricing Data
Beat the competitiors’ prices using food data scraping associated with different discounts as well as offers. Then, you can work on pricing strategies to make sure your offerings are extremely competitive.
Reviews & Ratings
As a multi-location food brand, you can understand gaps in the service quality of every location and decide the local branding strategy with the data related to reviews and ratings.
Find out which services and chains offer early breakfasts as well as late-night deliveries through thinking about regions whereas competition is getting limited working hours and take advantage of the market.
<b>Modernized Marketing Strategy
Increase your marketing campaigns and tie-up with micro-influencers as per the understandings of competitive pricing and data delivery fees.
Extract Food Delivery Data Using Web Screen Scraping Services
The full procedure of making food apps as well as sites has grownup systematically in the present. No particular structures or rules are there that modern mobile websites or apps follow. In addition, the objective behind the food delivery scraping might significantly differ between the businesses. Therefore, a one-size-fits-for-all method won’t be applied while selecting any food delivery web scraping solutions.
The food delivery industry is always shifting with its reasonable pricing and features. Customized food data extraction solutions from Web Screen Scraping can help you monitor data according to your requirements. Using a food data extraction API, you can easily ensure that you get data from various sites in the real-time. Web Screen Scraping makes custom-made food extracting APIs for various platforms that are not getting a food data scraping API to help you get that.
Web Screen Scraping can extract all publically available information online and it is among the top web scraping providers in the world. Their pre-created scrapers and easy-to-follow web scraping tutorials assist students, smaller businesses, as well as analysts in collecting data from famous websites effortlessly and inexpensively.
What Is QGIS?
QGIS also known as Quantum GIS, is a free and open-source application for desktop Geographic information that supports viewing, editing, and monitoring of Geospatial information. It can be downloaded for free for Windows, Mac, Linux, BSD, and mobile devices. It also enables a wide range of multiple spatial data analyses through various tools and plugins.
Location Data For Visualization
We will use Subway store location datasets in United States from the Locationscloud store.
Visualizing Point Data Over The Base Map
The simplest method to know the store location data more is to plot it on the map. When we map points on a 2D surface, we can easily see their spatial relationships, such as closeness or aggregation. By just visually analyzing the data points plotted above a topographic map, we can learn more about the data points. You may find out the locations of the stores in the city and nearby towns, roads, lakes, and other geographical locations.
The following are the steps of placing position information over a region/base country’s map:
• Import the default map.
• As just a point vector, import the CSV file from the Locationscloud shop.
• Modify the symbology and label everything correctly.
• QGIS allows you to save the map as an image or a PDF.
Importing The Base Map
The Base map layer gives background details like roads, points of interest, building footprints, rivers, etc. Because Open Street Maps (OSM) is indeed the default in QGIS, we’ll employ it as our foundation map. You can also utilize Google Maps, Mapbox, Bing Maps, and other similar base maps.
Select Layers tab from the main toolbar, select AddLayer>AddXYZLayer>Select OpenStreetMap>Add.
Throughout the QGIS layers tab, OSM has been included as a layer and it can be viewed in the map canvas area.
Importing The CSV File As A Point Vector
We’ll import the shop location data as just a point vector layer after we include the base map. The CSV file picked up from Locationscloud will appear as shown below. The data will be fetched in an excel sheet. Each entry present in the table has Latitude and Longitude, depending on which we can plot the points.
The latitudes and longitudes are the types of coordinates and every entry in the table will be inserted as a point vector. Here, we will assign Longitude as the X-coordinate and latitude as Y-coordinate to a fresh ‘Delimited Text Layer’.
Go to the Layers tab from the main toolbar then select AddLayer> Add Delimited Text layer.
Browse for the Locationscloud CSV file in the ‘Data Source Manager’ box that appears. Choose X and Y fields for latitude and longitude respectively. Also, choose the related Geometry CRS (Coordinate reference system) depending on the area or country you are living. For the United States, EPSG 4326 – WGS 84 is considered.
Add button must add various points to a layer of Subway store locations over the base map. Then, Right-click on the data layer and choose ‘Zoom to layer’ option, you will see the below image:
Edit The Symbology And Label Properly
To make the map more attractive, let’s alter the symbology of both the point vector layers. The size, color, shape, and other attributes of the symbols used in each point are referred to as symbology.
Right-clicking the point data layer, choose properties, and go to the symbology tab.
Choose the ‘Single Symbol’ option from the symbology box. Make any necessary changes to the symbol’s size, color, and type.
To assign a label to every other point of data, right-click the layer, pick properties, and then the Label option. Here we may choose the field to be used as the label and change the label’s other characteristics.
Choose ‘Single Label’ and then ‘Value’ entry from the table as the label. Each store’s location name is labeled here. Set the font, font color, font size, opacity, and other parameters to your preference.
The map after editing the symbology, and labels will be somewhat
Exporting Map As An Image Or PDF
We can save the map we’re looking at in QGIS’ Image canvas area as a PDF or an Image (png). We’re only exporting a portion of the map in this report. Right-click the image layer and select the ‘Zoom to Layer ‘option to export the complete map. In that scenario, you can disable the labels for a more professional appearance.
For the time being, we’ll just export a basic map without any additional map elements. If necessary, you can use QGIS to include legends, scale, north arrows, and other map components.
Firstly, zoom and slide the image across the canvas to export it in PDF or PNG format.
Go to the project>Import/Export>Export as Image for png format or Export as PDF to receive the final map in PDF format.
For any queries, contact Locationscloud today!!