Problem scraping javascript site – help needed

Problem

I 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.

Choosing affordable residential proxies for web scraping

Proxies are an integrated part of most major web scraping and data mining projects. Without them, data collection becomes sloppy and biased. This is why it’s essential to know how to find the best affordable proxies for any web scraping project.

One of the best proxy types you could use for scraping is residential proxies. In this post, you’ll learn what they are, how they are priced and what to look for before committing your project’s budget.

Scrape text, parse it with BeautifulSoup and save it as Pandas data frame

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})
By default, Beautiful Soup searches through all of the child elements. So, setting recursive = False (line 13) will restrict the search to the first found element and its child only.

The code was provided by Ahmed Soliman.

What is a Web Crawler and how does it work?

Nowadays, when having some questions, it almost comes naturally for us to just type it in a search bar and get helpful answers. But we rarely wonder how all that information is available and how it appears as soon as we start typing. Search engines provide easy access to information, but web crawling/scraping tools who are not so much known players have a crucial role in wrapping up online content. Over the years, these tools have become a true game-changer in many businesses including e-commerce. So, if you are still unfamiliar with it, keep reading to learn more.

Price2Spy Web Crawling Service for the Competitors Price Scraping

The number of companies, which use web crawler, is growing rapidly due to the current competitive market conditions. As a result, the number of companies that offer this service is growing day by day. Since the purpose of web crawler varies on a case to case basis, here is a more detailed explanation of how it Price2Spy works.

Download a file from a link in Python

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.”

Let us consider how to get a file from a JS-driven weblink using Python :

Handy Web Extractor

Handy Web ExtractorHandy Web Extractor is a simple tool for everyday web content monitoring. It will periodically download the web page, extract the necessary content and display it in the window on your desktop. One may consider it as the data extraction software, taking its own nitch in the scraping software and plugins.

What is Crawlera?

I came across this tool a few weeks ago, and wanted to share it with you. So far I have not tested it myself, but it is a simple concept- Safely download web pages without the fear of overloading websites or getting banned. You write a crawler script using scruping hub, and they will run through there IP proxies and take care of the technical problems of crawling.

Using DOMXPath for parsing page content in PHP

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.

Python LinkedIn downloader

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.