Implementation of Image Web Scrapping using Selenium Python.Tools for web scraping like Selenium can scrape a large volume of data such as text and images in a relatively short time.

As per business requirements, one may have to gather data from sources like SAP servers, logs, Databases, APIs, online repositories, or web. However, one Data Science professional would need a large volume of data to build a robust & reliable machine learning model for such business problems.ĭata mining or gathering data is a very primitive step in the data science life cycle. Remember, without the Google Chrome itself, I cannot run Selenium on top of it to run our tasks.Machine learning is fueling today’s technological marvels such as driver-less cars, space flight, image, and speech recognition. Then I can install Google Chrome on top of it. To start with my custom Selenium-Python image, I need a Python image, here in this write-up I picked up the version 3.8. Pulling the Image and Setting Up Google Chrome

As a personal opinion, Chrome with a headless option (not generating a user interface) is the most performant one, hence I will be sticking to that. To work on a browser, I need to choose among a set of browser options like Firefox, Chrome (Chromium), Edge, and Safari. Since I am more familiar with Python, I will be talking about it. Java, C#, PHP, Python, Perl, Go and Ruby are the supported languages for the bindings. So with Selenium, I can run some automated actions on browsers (clicks, hovers, and fill forms) by directly communicating with them. It was created by Simon Stewart in 2006, as the first cross-platform testing framework that could control the browser from the OS level. Selenium WebDriver is a web automation or testing tool. In this small write up, I aim to list some steps that I find quite useful while setting up Selenium within a Docker container.

Hence, I bumped into Selenium, which is a web testing and automation tool. Whenever I went a bit further on scraping, I ended up in the websites using Javascript to display the data that I needed. Although those examples are quite interesting to apply, frequently there was one main goal to reach at the end that is creating a database with the scraped information.

While web scraping, I came across many useful applications such as listing old prices of some financial assets or finding current news topics. web-scraping, python, docker, selenium, testing - 3 min read Twitter Github DEV Using Selenium With Python in a Docker Container

Install chromedriver python