There are approximately 1000 Marshalls store locations in the United States, and you can purchase a CSV file including each location's address, city, zip, latitude, and longitude in our data store.
There are approximately 1000 Marshalls store locations in the United States, and you can purchase a CSV file including each location’s address, city, zip, latitude, and longitude in our data store.
For the time being, we’ll keep it simple by web scraping Marshall’s store locations only for one zip code.
Python is wonderful for data extraction, and we will use Selenium to collect the raw HTML code for the Marshalls online store for zip code 30301. (Atlanta, GA).
Obtaining the actual HTML page for individual zip codes or US cities from the Marshalls store locator page.
We should analyze the original HTML files using a Python module called BeautifulSoup after we obtain the actual HTML source.
In the Chrome browser, visit the page and select examine.
First step: we will initiate by scraping the name of the stores
Each local business site does have a URL where you may get more information.
•You will require latitudes and longitudes of every store if you want to place it on a map as shown in the above figure.
•Latitudes and longitudes are required to count discounts between driving radius, points, etc. which are all crucial parts of location analysis.
•We suggest the use of robust geocoding services like GoogleMaps to transform the address into coordinates.
•There are few options for geocoding based on OpenStreetMaps but none of them will match the precision of Google maps.
You will need to loop over all of the US zip codes after you have the scraper that can harvest data for one zip code/city.
It relies on as to how much exposure you need, however for a national chain like Marshalls, you will need to execute the above method 100,000 times or so to make sure no region is overlooked.
When you start making hundreds of queries, the Marshalls.com server will either ban your IP address altogether or flag you and force you to use CAPTCHA.
You must implement the following to increase the likelihood of successfully fetching data for the entire United States:
•Proxy IP addresses should be rotated, preferably using residential proxies.
•User agents should be rotated.
•Use a third-party CAPTCHA solver like 2captcha.com or anticaptcha.com.
After you’ve completed the steps above, you’ll see that our pricing ($50) for web scraped store locations information for the whole Marshalls store locations dataset is among the most affordable in the marketplace.
For extracting Marshall’s stores location data, you can contact Locationscloud.