Most of developers stuck with the cookie handlng in web scraping. Sure it’s a tricky thing and this once has been my stumbling stone too. So here mainly for new scraing engineers i’d like to share of how to handle cookie in web scraping when using PHP. We’ve already done the post on scrape by cURL in PHP, so here we’ll only focus on a cookie side. The cookie is a small piece of data sent from a website and stored in a user’s web browser while the user is browsing that website. So when browser requests a page and along with web content cookie is returned browser does all the dirty job to store cookie and later send them back to server which rendered that web page in following web requests.
Recently I received a question in my mail box about scraping data aggregate sites (aka yellow pages) or business directories.
I replied to him directly, but our conversation on business directories was an interesting one that I thought you guys would find useful.
Here’s the question:
I am interested in scraping the database in such a website www.1881.no. My guess is that I would need a webdriver, like Selenium to do the job. I am very newbie to this field, but I believe if given some pointers, I can get some data out.
Could you please provide me with pointers on how to extract data from this website.
As a generic answer, I’ll provide you with some basics of scraping those business (and private life) directories.
This is part 1 of a series dedicated to getting novices started using a simple web scraping framework using python.
Recently I was asked to look at a brand- new online regex tester, regviz.org, developed as a collaboration of VISUS, University of Stuttgart and University of Trier. Though there are a lot of regex online testers on the market today, and many of them are quite good, let’s look at what is special about regviz.org and what it lacks.
For over four decades now, Relational Database Management Systems (RDMS) have dominated the enterprise market. However, the trend seems to change with the introduction of NoSQL databases. In this article, we are going to highlight practical examples where NoSQL systems have been deployed. We will also go further and point out other applications where implementation of such systems might be necessary.
I have already written several articles on how to use WebDriver for web scraping, but I have never touched on the topic of changing WebDriver’s IP address. Nevertheless, this topic is quite crucial when you come to web scraping, and here I’d like to show you an example of using proxies with WebDriver in Python (and you can easily convert it into your language API).
Apache Cassandra is a data management system designed and developed to handle huge amounts of data across multiple servers. It is open source, meaning its source code is freely available for anyone to study, modify and use.
MongoDB, an open-source document database written in C++, is classified as a NoSQL database. Because it avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), it facilitates quick-and-easy data integration in various applications.