• January 23, 2023

Web Scraping Nike

How to webscrape all shoes on nike page using python

I am trying to webscrape all the shoes on. How do I scrape all the shoes including the shoes that load as you scroll down the page?
The exact information I want to obtain is inside the div elements with the class “product-card__body”
as follows:

Nike Air Force 1 ’07
Men’s Shoe
$90

Here is the code I am using:
html_data = (“)
shoes = ((r’ITIAL_REDUX_STATE=(\{. *? \});’, html_data)(1))
Right now it only retrieves the shoes that initially load on the page. How do I get the rest of the shoes as well and append that to the shoes variable?
asked Jul 20 ’20 at 16:02
GregGreg1183 silver badges16 bronze badges
4
By examining the API calls made by the website you can find a cryptic URL starting with. This URL is also stored in the INITIAL_REDUX_STATE that you already used to get the first couple of products. So, I simply extend your approach:
import requests
import json
import re
# your product page
uri = ”
base_url = ”
session = ssion()
def get_lazy_products(stub, products):
“””Get the lazily loaded products. “””
response = (base_url + stub)()
next_products = response[‘pages’][‘next’]
products += response[‘objects’]
if next_products:
get_lazy_products(next_products, products)
return products
# find INITIAL_REDUX_STATE
html_data = (uri)
redux = ((r’ITIAL_REDUX_STATE=(\{. *? \});’, html_data)(1))
# find the initial products and the api entry point for the recursive loading of additional products
wall = redux[‘Wall’]
initial_products = (‘anchor=[0-9]+’, ‘anchor=0’, wall[‘pageData’][‘next’])
# find all the products
products = get_lazy_products(initial_products, [])
# Optional: filter by id to get a list with unique products
cloudProductIds = set()
unique_products = []
for product in products:
try:
if not product[‘id’] in cloudProductIds:
(product[‘id’])
(product)
except KeyError:
print(product)
The api also returns the total number of products, though this number seems to vary and depend on the count parameter in the api`s URL.
Do you need help parsing or aggregating the results?
answered Jul 20 ’20 at 23:08
GregorGregor4711 gold badge4 silver badges12 bronze badges
6
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Nike Web Scraper, Nike Data Extraction - MyDataProvider

Nike Web Scraper, Nike Data Extraction – MyDataProvider

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Introduction > Web Scraping Limitations

Introduction > Web Scraping Limitations

Web-scraping can be challenging if you want to mine data from complex, dynamic websites. If you’re new to web-scraping, then we recommend that you begin with an easy website: one that is mostly static and has little, if any, AJAX or JavaScript.
After you get familiar with the navigation paths for your target website, you need to identify a good start URL. Sometimes this is simply the start URL of the website, but often the best URL is the one for a sub-page—such as a product listing. Once you have this URL, you’ll need to copy it and then paste it into the address bar of Content Grabber.
NOTE: Some websites allow navigation without any corresponding change in the visible URL. In such cases, you may not have a start URL that points directly to your start webpage, and so you’ll need to add preliminary steps to your agent to navigate to that webpage.
Web-scraping can be also challenging if you don’t have the proper tools. Largely, you’re completely at the mercy of the target website, and that website can change at anytime – without notice. Or, it may contain faulty JavaScript that causes it to crash and exhibit surprising behavior. The server that hosts the website may crash, or the website may undergo maintenance. Many potential problems can occur during a lengthy web-scraping session, and you have very little influence on any of them. Content Grabber offers an array of advanced error-handling and stability features that can help you manage many of the problems that a web-scraping agent is likely to encounter.
In addition to the unreliable websites, another challenge is that some web-scraping tasks are especially difficult to complete – including the following:
•Extracting data from complex websites•Extracting data from websites that use deterrents•Extracting huge amounts of data•Extracting data from non-HTML content.
Extracting Data From Complex Websites
If you are developing web-scraping agents for a large number of different websites, you will probably find that around 50% of the websites are very easy, 30% are modest in difficulty, and 20% are very challenging. For a small percentage, it will be effectively impossible to extract meaningful data. It may take two weeks or more for a web-scraping expert to develop an agent for such a website, so the cost of developing the agent is likely to outweigh the value of the data you might be able to extract.
Extracting Data From Websites Using Deterrents
Web-scraping will always be challenging for any website with active deterrents in place. If it is necessary to login to access the content that you want to extract, then the website can always cancel your account and make it impractical to create new accounts.
Some websites uses browser fingerprinting to identify and block your access to the website. Fingerprinting uses JavaScript to make a positive identification by examining your browser and computer specifications, and thereby making it impossible to circumvent.
Another method for websites that are wary of crawlers or scrapers is the use of CAPTCHA. Content Grabber includes tools you can use to overcome CAPTCHA protection, but you’ll incur additional costs to get a 3rd-party to do automatic CAPTCHA processing. See CAPTCHA Blocking for more information.
The most common protection technique is using your IP address to identify and block your access to a website. You can usually circumvent this technique by using a proxy rotation service, which hides your actual IP address and uses a new IP address every time you request a web page from a website. See IP Blocking & Proxy Servers for more information.
NOTE: Ethically and legally, we recommend that you avoid websites that are actively taking measures to block your access, even if you are able to circumvent the protection.
Extracting Huge Amounts of Data
A web-scraping tool must actually visit a web page to extract data from it. Downloading a web page takes time, and it could take weeks and months to load and extract data from millions of web pages. For example, it’s virtually impossible to extract all product data from, since there are too many web pages.
Extracting Data From Non-HTML Content
Some websites are built entirely in Flash, which is a small-footprint software application that runs in the web browser. Content Grabber can only work with HTML content, so it can only extract the Flash file. However, it can’t interact with the Flash application or extract data from within the Flash application.
Many websites provide data in the form of PDF files and other file formats. Though it cannot directly extract data from such files, Content Grabber can easily download those files and convert the files into an HTML document using 3rd-party converters to extract data from the conversion output. The document conversion happens very quickly in real-time, so it will seem as though you are performing a direct extraction. It’s important to realize that PDF documents and most file formats don’t contain content that is easily convertible into structured HTML. To do that, you can use the Regular Expressions feature of Content Grabber to resolve the conversion output.

Frequently Asked Questions about web scraping nike

Does Nike allow web scraping?

“Runner” allows users to scrape data from Nike site and to export to csv, excel, json or xml files. … So if you need to use Nike scraper you can use this web scraping tool.

Is web scraping tough?

Web-scraping can be challenging if you want to mine data from complex, dynamic websites. If you’re new to web-scraping, then we recommend that you begin with an easy website: one that is mostly static and has little, if any, AJAX or JavaScript. … Web-scraping can be also challenging if you don’t have the proper tools.

How do I find my Nike product ID?

Find the model number on the tag. The model number of your shoes is typically located under the size and above the barcode on the tag. It will be a six digit number followed by a three digit number (Example: AQ3366–601).

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