How To Extract Scraped Data To Excel (Using Python)

If you're not succeeding in extracting the required public data to Excel, watch this video to delve deeper into the subtleties of data extraction. Also, go ahead and try Oxylabs scraper API for Free ? https://oxy.yt/6DP

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.

If you're interested, you can learn more about web scraping by watching our in-depth tutorials: https://youtube.com/playlist?list=PL635Vr00fwj_fzpXxWcyTjnkJbxjwQi8g

Watch more of our in-depth tutorials:
? https://youtube.com/playlist?list=PL635Vr00fwj_fzpXxWcyTjnkJbxjwQi8g
And also this Python web scraping tutorial:
? https://www.youtube.com/watch?v=mDveiNIpqyw

✅ Grow Your Business with Top-Tier Web Data Collection Infrastructure: https://oxy.yt/2Lz

Join over a thousand businesses that use Oxylabs proxies:
Residential Proxies:
? https://oxy.yt/oGs
Shared Datacenter Proxies:
?https://oxy.yt/kHn
Dedicated Datacenter Proxies
? https://oxy.yt/5J3
SOCKS5 Proxies:
? https://oxy.yt/TKC

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?

Subscribe for more: https://www.youtube.com/c/Oxylabs?sub_confirmation=1

© 2022 Oxylabs. All rights reserved.

#Oxylabs #WebScraping