This is the home page

. Page 2. Page 3. Page 4. Page 5. . . I want to extract the text after href="/" from each of the href links in the file. I tried the following in R: library(rvest). # Read HTML files and extract text from all hyperlinks. Web<-readhtml("example.html") web%>%. Htmlnodes(". I want the text only in the "anchor" tags () from within the body tag. How can I do that? text is returning you a vector containing the HTML markup. You need to run it through htmlattr in order to extract the values you're after. Try
Text(htmlattr(web, "a")). The full code should look like this. Library(rvest). Web <- readhtml("example.html") web %>%. htmlnodes(".

How to extract data from HTML file to Excel using Python?

I'm a newbie and I don't know much about Python.

I was trying to extract data from html file and save it in excel. This is the code I used but it gives me an error.

From BeautifulSoup import BeautifulSoup. Import requests. Import pandas as pd. #Get the URL of the HTML page. Myurl = '. # Get the HTML. Myresponse = requests.get(myurl) # Extract the info you want. Soup = BeautifulSoup(myresponse.content, 'html.parser')
Text=soup.prettify() # Write the text to excel. Writer = pd.ExcelWriter('sample.xlsx', engine='xlsxwriter')
Df = pd.toexcel(writer,'Data') writer.save() Error: Traceback (most recent call last): File "C:UsersRishikaDesktopTest.py", line 9, in df = pd.py", line 5066, in init keywords=(self.keys, self.index),
File "C:UsersRishikaAppDataLocalProgramsPythonPython36-32libsite-packagespandascoreframe.array(self.

How to scrape data from HTML using Python?

I am trying to scrape data from an HTML file using Python.

The HTML has some images and text on it. I need to get the number of products sold by each brand, and how much revenue they generated for their company.

So far I have been using Beautiful Soup and Scrapy, but that doesn't seem like it would be the best way to do this, given how large the HTML file is. Here's the HTML code:

. . .