Day 11 of 100 Days of AI Webscraper

In today’s lesson you’re going to learn how to scrape web pages.
You’ll use web scraping and monitoring tool Browse AI to learn how to effectively scrape data from web pages and then export the data, so you’re able to format, analyse and use it for a wide range of use cases.
Time to scrape…🤖
# Task for the Day 📝
🧱 Project: How to Scrape Data from Any Website
 Estimated time: 30 minutes
 Tools: Browse AI
### Context building 🏔
Wave goodbye 👋🏽👋🏽👋🏽 to the days of endlessly copying and pasting information from websites into spreadsheets, because today you’re going to learn how to scrape web pages.
No-code web scrapers like Browse AI provide an easy way for users to quickly extract specific information from web pages. They’re able to identify the individual elements that make up the structure of a web page and present this information to users in an intuitive user interface.
As a user, you then have the ability to select and extract specific pieces of information from a page, giving you an efficient way to collate and download large sums of data. Web scraping can save you a huge amount of time in comparison to manual data collection, lowering the difficulty in getting data-led projects off the ground and speeding up the process of time-intensive data collection tasks.
When working on AI projects, you’ll often find the need to efficiently collate structured data which is then used to train AI models. Web scraping is a very common starting point for this type of data collection, used by the leading AI companies in the world, albeit on a HUGE scale.
Browse these Prebuilt Robot scrapers from Browse AI to get a feel for common everyday use cases.
Remember – scrape with care. Though scraping of publicly available information for personal use is considered lawful in most locations, you should always adhere to the privacy policies and terms of service of the businesses or websites you’re collecting information from. Read this article to learn more about some of the key privacy and legal considerations related to web scraping.
In this lesson you’ll learn…
– Web scraping use cases

– How to effectively scrape data from web pages

– Web scraping privacy and legal considerations
### Let’s prep 🥗
Imagine you’re building a job tracker. You want an easy way to curate all the key information related to open roles from the ‘Careers’ pages of your favourite companies.
Enter – web scraping! 🙌
In this lesson, you’ll pretend you’re on the lookout for Customer Experience roles. You’ll extract the job titles, locations and job page URLs for all open roles in the Customer Experience department at one of your favourite companies, Notion.
🔥 Get ready to build!
To make your life easier when you build, it’s good to get some practical stuff out the way first. Follow these steps so you’re ready to build:
– Make sure you have the Chrome browser installed as Browse AI operates using a Chrome extension.

– Sign up for an account with Browse AI and follow the onboarding instructions.
### Time to cook 👩‍🍳
Follow the steps below to build…
1️⃣ If you don’t have it already, install the Google Chrome browser.
2️⃣ Set up an account with Browse AI and follow the onboarding instructions.
3️⃣ Follow this step-by-step guide.

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