Which Python module is best for web scraping dynamic pages?

What is the best web scraping tool in Python?

Introduction. Are you thinking about scraping the web? Do you want to write a web scraper in Python? Are you looking for a Python library which you can use to scrape data from the web? If so, then you are at the right place! In this article, I will be talking about all three of these questions. Before we go through all the tools that I have used and reviewed, let me tell you something very important. Web scraping is not as easy as it may seem. There are many tools that you can use to do web scraping but the problem is that the majority of them are written in Java or JavaScript, making it difficult to use them in Python. It would be much easier to scrap the web if it was written in Python instead of Java or JavaScript. But that is a different story.

So now that you know why web scraping is hard, let us discuss some tools that you can use to scrape the web. Tools that I have used. Here are the tools that I have used for web scraping: Mechanize. Mechanize is the first tool that I tried when I started working on my web scraper. It has an API which is easy to understand and easy to work with. But unfortunately, I found out that it was too much of a hassle to use. Mechanize has a lot of dependencies and it takes some time to install the dependencies. Additionally, it was a bit slow to load and I had to wait until Mechanize finished downloading the websites.

Mechanize also did not support any browser other than Firefox. So if you want to scrape a website which you don't have access to, you would have to open the website using another browser. This was quite annoying because it would be good to be able to scrape the website directly using the browser that I have already opened in my system.

So I went ahead and removed Mechanize from my list. Python-Requests. The second tool that I tried was Python-Requests. It is a fantastic and easy-to-use Python library which has HTTP requests built right into it. Requests gives you a lot of flexibility when it comes to requests such as cookies, response bodies and headers.

This library also supports multiple browsers and I didn't have to worry about whether it supports my browser or not. I could use it without any issues.

Which Python module is best for web scraping dynamic pages?

I know Python. But there is a problem with my web scraping. The website I have to scrap is only dynamic page, and their webpage always show blank when I run my script. I am wondering what Python module(if exists) can do this? I have to scrape their products from a page.

Their homepage will be something like below: If I open by Firefox, the website shows correct page as below: The content is not static, so the content will be coming in through ajax calls. See for some of these details. So, there's not a whole lot you can do about that.

You can use cURL () to get information from this URL as well as the ajax calls. However, the real issue is in your html parsing of the results. To me, it looks like you're looking at some kind of XML, so I would suggest trying to load up that XML into an ElementTree.

For example, you could do: import requests. From xml.etree import ElementTree r = requests.get("") xml = ElementTree.fromstring(r.content)
#Now that we've parsed the html document from the first step into our own xml. # let's parse it into actual data. For item in xml.findall("//li"): if (item.get('class') == "answer"): print item.get('itemprop').text
This should give you an output of the text from each