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Do not index
Do not index
In today’s lesson you’re going to learn how to scrape web pages with no-code.
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…🤖
Today’s Task📝
🧱 Project: How to Scrape Data from Any Website
⏲️ Estimated time: 30 minutes
🛠️ Tools: Browse AI
Context📄
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 using no-code.
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.
Browse these Prebuilt Robot scrapers from Browse AI to get a feel for common 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 that are relevant to you 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 no-code 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:
- Sign up for an account with Browse AI and follow the onboarding instructions.
Time to Cook 👩🍳
Follow the steps below to build:
- Set up an account with Browse AI and follow the onboarding instructions.
- Follow this step-by-step guide.
That’s a wrap, we hope you found this lesson helpful!
- If you have any questions, feel free to reach out.
- Want to learn NoCode? Join #100DaysOfNoCode for free.
- Want to learn AI skills? Join #100DaysOfAI for free.