
Install Node.js on Windows by downloading the recommended version, install to the C drive for global access, and check npm version with the command prompt.
Learn how npm, the node package manager, installs, updates, and removes modules locally or globally, with examples for selenium driver and fs, using command prompt or PowerShell.
Choose a code editor to write and debug your web scraping scripts. Sublime Text, Atom, Visual Studio Code, and Nordberg plus plus are free options for organizing and debugging code.
Explain there are two independent Google Translate scraping projects with different techniques for 2018 and 2019, each with unique codes and decoding exercises to boost your web scraping skills.
Learn to build a browser driver script to extract language IDs from Google Translate, using Chrome driver and Firefox inspection, and store IDs in an array for later processing.
Delete the existing languages file when present, then create a new one to replace it, using a check file existence function with unlink and write.
Develop and automate a Google Translate scraping function by fetching data from a browser, selecting languages, clicking translate, extracting translated text, and handling language matching with an Excel file.
Explore automating Google Translate language selection with a recursive function that navigates the language list DOM, uses a hard-coded total, and iterates from the second language onward.
Define a unique language id by parsing class names, splitting on dashes, and extract language names for multilingual pages.
Execute a test cases function that opens Chrome, processes cases, and sends data to index.js; derive group type from ages (individual, couple, family) and run a generic runner in index.js.
Learn to build a JavaScript convert date function that formats dates for the website, correcting month indexing, padding single digits, and joining parts with slashes.
Implement a run function to select the first two fields by using Selenium to choose the policy type and destination, pausing between steps and updating group type and location.
Automate trip duration setup in a web UI: select destination, compute tomorrow's date, and apply start and end dates using the convert date function and send keys.
Conclude the complete web scraping course with projects by inviting reviews and guiding learners to the library, website, and social channels like YouTube, LinkedIn, Twitter, and Instagram.
Web scraping is the Data Science technique of gathering or storing useful and public information from websites in a suitable format like spreadsheets that can be used later for any purpose. It basically removes the burden of copying the data manually, instead it provides an automated way to do it.
The data extraction is done from websites using some sort of a code written called “scraper” which takes the a Web URL, parses the HTML DOM of that site and then return the result which we can save in some format say CSV for future use. The data that we parse can be in form of texts, images, package names and their corresponding prices, videos and contact information like email, name, phone numbers and so on.
This course is built in NODEJS that is light weight, efficient, and scale-able due to its non-blocking I/O and event driven. The main advantage of node is that its asynchronous in nature which means that you don’t have to wait for a request to complete before making another one which in turn provides a very high performance. This course is made in so much easy way so that one who doesn’t have any knowledge of NODEJS can easily understand and hence build own scraper in NODEJS.
We are using Selenium which is automation testing tool that provides various elements and methods to interact with HTML DOM in order to parse the website.
This course is divided into 3 parts
Setting up the environment
Building Blocks and Syntax
Projects
In the Project Section course will cover 3 Projects
Google Translate 2018 Project
Google Translate 2019 Project
Travel Insurance Website Project
Bonuses:
Reading Data from CSV File
How to Save scraped Data into New CSV file
How to apply Validations
This course offers you a 30 Days Money Back Guarantee, in case if the course does not meet your expectations you can get a full re-fund immediately . Also i will answer all of your questions on top priority.
Now if you want to learn Web Scraping by building projects and start your professional career, Take this course now
Note :
Basic HTML Knowledge required.
Basic Programming Knowledge required.
No Knowledge of NodeJS required.