Attempting to gather search results from Walmart has been a challenge for me.
For instance, let's navigate to the website ""
Then, try to extract only the text from the element identified by the class name search-product-result, using python.
I have tested using selenium, but I encountered identity verification requests. When I tried with requests, Walmart displayed a forbidden page. I experimented with other libraries as well, but solutions have not emerged. Any suggestions?
The content on this webpage is dynamically loaded using JavaScript, rendering the use of beautifulsoup ineffective in this scenario.
Nevertheless, the information displayed on the page can be found as a JSON string within the <script> tag with the identifier id=searchContent in the HTML Code.
I have managed to isolate this <script> segment from the HTML code, made necessary modifications, and transformed the text into JSON format. This allows you to extract any desired data from the JSON structure.
Provided below is the code snippet that identifies the product IDs present in the search results:
from bs4 import BeautifulSoup
import requests
import json
headers = {"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36"}
url = 'https://www.walmart.com/search?query=coffee%20machine'
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.text, 'lxml')
s = str(soup.find('script', {'id': 'searchContent'}))
s = s.strip('<script id="searchContent" type="application/json"></script>')
j = json.loads(s)
x = j['searchContent']['preso']['items']
for i in x:
print(i['productId'])
This will output the respective product IDs:
2RYLQXVZ80E8
7EYUEQ82RMBP
7A3VDQNS5R36
22GRP3PGSY4A
238DLP3R0M3W
52NMIX2M8SC5
1R4H630LRNSE
.
.
.
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