How do I scrape data from a website in Excel using Python?

Is it legal to scrape data from websites?

What is the general consensus about scraping data from websites? I'm wondering if I can scrape data from companies' websites, and then republish them as a kind of blog or newsletter. Are there any legal issues I should be aware of? If you're just scraping data from web sites it's not a problem per se. You may risk to get sued by the web site owners, however.

For instance, if you're scraping data from a forum, you may get sued by the administrators of the forum. This is called automated web scraping, or automated web indexing. It's perfectly legal to do so, as long as you're not scraping content that is protected by copyright (e. An article behind a login wall or a work that is published under a Creative Commons license) or otherwise protected by law (e. A patent troll's website that is scraping the data they claim to own).

It is, however, illegal to scrape in bulk and repackage the scraped data in a way that is "likely to deceive". Technically, yes, it is legal to scrape for publicly available information. This is called automated web scraping.

However, it is generally considered poor form and can be considered an "intellectual property infringement" and it can also be considered as a violation of the Terms of Service for the provider. In addition, the data you scraped might very well be protected by the law as intellectual property. So, technically, yes, it is legal to scrape data from websites, but I wouldn't recommend it. It might better to use the data to create an API to be used by your own applications.

How do I scrape data from a website in Excel using Python?

I've been trying to scrape some data off of a website. The data I'm trying to scrape is from this link: What I'd like to know is how to get the data from columns J-T. The data in columns H and I is already pulled up in Excel. So far, I've been able to pull the website data in columns B, C, D, E, G, H, and I. The webpage only has about 2-3 hundred rows of data and each row is pretty long. I was wondering if it was possible to pull all the data from the webpage in a column. Is there any way to do this in Python?
I am afraid that the answer is no. You can try to get the data from columns J-T as it is using beautiful soup.

Import requests. From bs4 import BeautifulSoup. Response = requests.get("") soup = BeautifulSoup(response.text, "html.parser")
For row in soup.select("table.js-tbl-content tr"):
print(row.selectone("td").

Can I use Excel to scrape data from websites that require authentication?

I am trying to scrape data from a website () where I need to log in first to view the data. When I look at the page source it shows an authentication link at the top that I need to click on to view the data. Is there a way for me to do this with Excel?

There are a number of ways to achieve this with Excel and there are many examples on the web of how to do it. I have used the below method before and it works well.

You can use something like the following and open in excel: Option Explicit. Sub Login(). Dim ws As Worksheet. Dim username As String. Dim password As String. Username = "username". Password = "password". Set ws = ThisWorkbook.Sheets("Sheet1") ws.Cells(1, 1) = "username" ws.Cells(1, 2) = "password" With ws.Cells(1, 1) CurrentRegion .ClearContents .

How do I scrape data from a website online?

I'm trying to scrape data from a website using Python and I'd appreciate if you could help me with the following: I have a HTML file with data and I need to scrape it and store the data in a CSV file. I have the HTML file. I don't have any other files to work with, but the HTML file contains a reference to a JS file. I don't have the JS file. I would need to scrape the data using Python and put it into a CSV file. The HTML file is as follows: html. Head. TitleWelcome to the site/title. Script src="script.js"/script /head. Body. H1Welcome to the site/h1. H1 id="date"2016-07-10/h1. /body. /html. The JS file is: var c = document.getElementById("date"); var dates = c.innerHTML; var dates = dates.substring(10, dates.length);
Var dates = c.substring(10, dates.length);

Var dates = c.substring(10, dates.length);