Webscraping.proI am trying to scrape the page https://tienda.mercadona.es/categories/112 and I have installed the docker and followed all the required steps given in the post. Splash works well, but the spyder does not and I don’t know why. The IP of the splash_url is correct but I can’t see in the response object when I write scrapy shell “webpage” the complete page, ie, the page has not rendered correctly.
We want to share with you how to scrape text and store it as Pandas data frame using BeautifulSoup (Python). The code below works to store html li items in the ‘engine, ‘trans’, ‘colour’ and ‘interior’ columns.
from bs4 import BeautifulSoup
import pandas as pd
import requests
main_url = "https://www.example.com/"
def getAndParseURL(url):
result = requests.get(url)
soup = BeautifulSoup(result.text, 'html.parser')
return(soup)
soup = getAndParseURL(main_url)
ul = soup.select('ul[class="list-inline lot-breakdown-list"] li', recursive=True)
lis_e = []
for li in ul:
lis = []
lis.append(li.contents[1])
lis_e.extend(lis)
engine.append(lis_e[0])
trans.append(lis_e[1])
colour.append(lis_e[2])
interior.append(lis_e[3])
scraped_data = pd.DataFrame({'engine': engine,
'transmission': trans, 'colour': colour,
'interior': interior})
The code was provided by Ahmed Soliman.
I recently got a question and it looked like this : how to download a file from a link in Python?
“I need to go to every link which will open a website and that would have the download file “Export offers to XML”. This link is javascript enabled.”
The DOMXPath class is a convenient and popular means to parse HTML content with XPath.
After I’ve done a simple PHP/cURL scraper using Regex some have reasonably mentioned a request for a more efficient scrape with XPath. So, instead of parsing the content with Regex, I used DOMXPath class methods.
We’ve done the Linkedin scraper that downloades the free study courses. They include text data, exercise files and 720HD videos. The code does not represent the pure Linkedin scraper, a business directory data extractor. Yet, you might grasp the main thoughts and useful techniques for your Linkedin scraper development. 
In this post I want to let you how I’ve managed to complete the challenge of scraping a site with Google Apps Script (GAS).
Often, we need to extract some HTML elements ordered sequentially rather than in hierarhical order.
Recently, I was challenged to do bulk submits through an authenticated form. The website required a login. While there are plenty of examples of how to use POST and GET in Python, I want to share with you how I handled the session along with a cookie and authenticity token (CSRF-like protection).
In the post, we are going to cover the crucial techniques needed in the scripting web scraping:
The Distil scrape protection is a prominent one in the modern anti-scrape techniques. So, now we want to share with you some tips of how to bypass it. If you are interested, please make an inquiry to the following email: igor[dot]savinkin[at]gmail[dot]com
Here we come to one new milestone: the JavaScript-driven or JS-rendered websites scrape.
Recently a friend of mine got stumped as he was trying to get content of a website using PHP simplehtmldom library. He was failing to do it and finally found out the site was being saturated with JavaScript code. The anti-scrape JavaScript insertions do a tricky check to see if the page is requested and processed by a real browser and only if that is true, will it render the rest of page’s HTML code.