How To Extract Scraped Data To Excel (Using Python)

This video explains how to extract website data to Excel using Python. You'll learn why Excel is an optimal format for public data extraction and how to gather information using Python and extract the data into Excel. Additionally, we're discussing the legal aspect of selling scraped data.

Why is Excel an optimal format for public data extraction?

First of all, it's simple to clean up and format data with Excel. Moreover, Excel is a widely used and easy-to-use visual tool that most people are already comfortable with. Finally, Excel files can be imported by most of the data stores. These are the main reasons why you should extract data from website to Excel.

Steps of scraping web data to Excel

The data retrieved with the help of web scraping techniques is usually a part of the bigger ETL, or Extract, Transform, and Load process. Python web scraping is the Extraction step of the ETL process. In this step, the data is raw. The data may need cleaning up and restructuring. That’s where the next step comes in. In the Transform step of ETL, the data is transformed into a structure that makes sense. In the Load step, the transformed data gets stored in the final target, which can be any data store. Excel is perfect for the Transform step.

Is selling scraped public data or web scraping legal?

You might be wondering whether it's legal to sell scraped public data. The answer to this question is complex, and our legal team suggests you get professional legal advice before scraping or working with gathered public data.

Of course, you also need to consider various factors. First of all, while it may be legal to sell some data, it may not be permitted to sell (or even scrape) other data. Some cases may be straightforward – for example, most of the time, it would be illegal to sell copyrighted data without permission. The other aspect that needs to be looked at is the Terms of Service of the data source. Finally, the interpretation and enforcement of these terms are subject to laws.

Watch more of our in-depth tutorials:
And also this Python web scraping tutorial:

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In this video, we cover the following topics:
0:00 Intro
0:21 Why Excel is a perfect format for data extraction
1:29 What Python libraries are required to extract data
2:08 How to scrape data from website using Python
4:22 How to extract scraped data to Excel
5:35 Is it legal to sell the scraped data?

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#Oxylabs #WebScraping

[ravichandra]

A Big Thanks from Palakollu, West Godavari, INDIA.

[peterimade]

The quality of this channel is dope, needs more subscribers

[ИсломКобилов-щж]

It's very useful high-quality video without any water, thank you for making such big efforts 😊

[DeborahOdion]

Thank you for the knowledge. The content was amazing!

[efleon]

From now, I love you forever! Thanks for share this amazing skill!!!

[gleovas]

this saved my live, NEW SUB, thank u

[ericzaver]

scraping is a quite difficult process for me. thanks for the vid, super helpful

[growlandroll]

I tried to replicate it and it worked! Thank you so much

[Ariful_Islam]

One of the best video that I want....thank you so much😍😍❤❤

[gerritsx]

As a beginner this is hard to follow, as you only explain for your example. I would appreciate a more dynamic explanation of how the libraries work without the need of goin gin depth.

[aerotraveldji]

Hi, on line 14 the word books comes up as "books" is not defined Pylance. And on line 30 export is also not defined Pylance. Could you tell me how to fix this please :)

[eddiecimerman]

I run the program and get the message of done but when I type open books.xlsx is says that “open” is not recognized

[raffimannarelli]

Thanks for the guide!
I am getting a NameError when running the name-main guard block of code. Im running in Jupyter nb as well and not sure if scope is any different there but have no idea how to get around it.

[snipegodgaming]

What if there are same class. Names for different text in web pages

[gormiksoc]

Can I ask, how would I go about using python as backend and excel as front end to pull data from the web, and show it on excel in desired form when you press a Macro button in excel?

Python:

Requests: To make HTTP requests to fetch data from websites or APIs.
Beautiful Soup: For parsing HTML content and extracting data from web pages.
Pandas: For data manipulation and cleaning.
Flask or FastAPI: To create a web service that exposes endpoints for Excel to interact with.
openpyxl: For reading from and writing to Excel files.
VBA (Excel):

ActiveX Controls: To create buttons or user forms in Excel for user interaction.
VBA Macros: To write VBA code that runs when the button is clicked.
Excel Object Model: To manipulate Excel workbooks, worksheets, cells, and charts.
Shell Function: To run external programs or scripts (in this case, Python scripts).

[harrystone]

Nice video! Is it possible to extract data from a website that requires login credentials? Thx

[adamklimt]

is there an option to extract scraped data to google sheets instead if excel? or excel is simply more "powerful" to process the data

[tarztarzs]

i have a syntax error 'return' outside function ;(

[nikolairodriguez]

Getting a syntax error (pyflakes E) in the code "item["Title"] = book.find( ..."

Spyder is pointing at the equals sign... why is this happening?

[prasadjadhav]

I tried your method. my excel file shows 5 columns to 1 row where it should've shown 5 columns to 312 rows. Can u help me solve this