Web Scraping In Angular



Dealing with a website that uses lots of Javascript to render their content can be tricky. These days, more and more sites are using frameworks like Angular, React, Vue.js for their frontend.

Web scraping is the process of automatically downloading a web page's data and extracting specific information from it. The extracted information can be stored in a database or as various file types. Web scraping software tools may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. Aug 13, 2018 The paradigm of a data grid should be familiar to most developers. It’s a component used for displaying tabular data in a series of rows and columns. Perhaps the most common example of a data. Apr 19, 2021 Flask is a popular Python web framework, meaning it is a third-party Python library used for developing web applications. What Will You Find Here? If you’re new to Flask, we recommend starting with the Real Python course to get a firm foundation in web development in Python. Introduction Web scraping is a popular term for various significant methods used to extract web metadata or gather valuable information across the Internet. Generally, this is accomplished with exclusive software that simulates web surfing to gather specific bits. Resolving the Complexities of Web Scraping with Python Picking the right tools, libraries, and frameworks. Tải game ra2. First and foremost, I can't stress enough the utility of browser tools for visual inspection. Effectively planning our web scraping approach upfront can probably save us hours of head scratching in advance.

These frontend frameworks are complicated to deal with because there are often using the newest features of the HTML5 API.

Web Scraping In Angular

So basically the problem that you will encounter is that your headless browser will download the HTML code, and the Javascript code, but will not be able to execute the full Javascript code, and the webpage will not be totally rendered.

Web Scraping In Angular 8

There are some solutions to these problems. The first one is to use a better headless browser. And the second one is to inspect the API calls that are made by the Javascript frontend and to reproduce them.

Web scraping in angular 6

It can be challenging to scrape these SPAs because there are often lots of Ajax calls and Websockets connections involved. If performance is an issue, you should always try to reproduce the Javascript code, meaning manually inspecting all the network calls with your browser inspector, and replicating the AJAX calls containing interesting data.

So depending on what you want to do, there are several ways to scrape these websites. For example, if you need to take a screenshot, you will need a real browser, capable of interpreting and executing all the Javascript code in order to render the page, that is what the next part is about.

Headless Chrome with Python

PhantomJS was the leader in this space, it was (and still is) heavy used for browser automation and testing. After hearing the news about the release of the headless mode with Chrome, the PhantomJS maintainer said that he was stepping down as maintainer, because I quote “Google Chrome is faster and more stable than PhantomJS […]” It looks like Chrome in headless mode is becoming the way to go when it comes to browser automation and dealing with Javascript-heavy websites.

Prerequisites

You will need to install the selenium package:

Maleficent movie download mp4. And of course, you need a Chrome browser, and Chromedriver installed on your system.

On macOS, you can simply use brew:

Taking a screenshot

We are going to use Chrome to take a screenshot of the Nintendo's home page which uses lots of Javascript.

Web Scraping In Angular 5

Web Scraping In Angular

The code is really straightforward, I just added a parameter –window-size because the default size was too small.

You should now have a nice screenshot of the Nintendo's home page:


Waiting for the page load

Most of the times, lots of AJAX calls are triggered on a page, and you will have to wait for these calls to load to get the fully rendered page.

A simple solution to this is to just time.sleep() en arbitrary amount of time. The problem with this method is that you are either waiting too long, or too little depending on your latency and internet connexion speed. Adobe photoshop cs4 google drive.

The other solution is to use the WebDriverWait object from the Selenium API:

Web Scraping Angular 6

This is a great solution because it will wait the exact amount of time necessary for the element to be rendered on the page.

Conclusion

As you can see, setting up Chrome in headless mode is really easy in Python. The most challenging part is to manage it in production. If you scrape lots of different websites, the resource usage will be volatile.

Meaning there will be CPU spikes, memory spikes just like a regular Chrome browser. After all, your Chrome instance will execute un-trusted and un-predictable third-party Javascript code! Then there is also the zombie-processes problem

This is one of the reason we started ScrapingBee, a web scraping api, so that developers can focus on extracting the data they want, not managing Headless browsers and proxies!

I recently wrote “A guide to Web scraping without getting blocked', do not hesitate to check it out.

If you want to know more about the Python web scraping ecosystem, don't hesitate to look at our python web scraping tutorial

And here is a recent article about the best web scraping tools on the market.

Happy Web Scraping :)