I am unable to get the text inside the p tags i want text of all the p tags, have tried this so far but unable to exact text. i am getting many p tags within my code how to remove those tags ? here is my output Answer Output:
Tag: html-parsing
Python & Beautiful Soup – Extract text between a specific tag and class combination
I’m new to using Beautiful Soup and web scraping in general; I’m trying to build a dataframe that has the title, content, and publish date from a blog post style website (everything’s on one page, there’s a title, publish date, and then the post’s content). I’m able to get the title and publish date easily enough, but I can’t correctly
Adding a different value to a list based on number of iteration in a for loop
I’m new to Python and programming in general and I am having trouble with a website parsing project. This is the code I managed to write: What I’m trying to do and can’t find a solution to, is to add to item_list the name of the item which the url refers to. e.g. index platinum quantity … items name (problematic
How to read URIs from RDFLib using Python?
I have several thousands URIRef ontology values that I’m trying to get a string representation of: I could go to each one’s link individually (eg http://purl.obolibrary.org/obo/RO_0002219) and get it (e.g surrounded by), but how can I do it with Python? There are 2 ways that I see how to do it but I couldn’t figure out either. One way would
Taking multiple prices on single page BS4
I’m creating an to help me learn but is also useful to me. I want to be able to parse multiple prices from (https://www.watchfinder.co.uk/search?q=114060&orderby=AgeNewToOld) one page, convert them to numbers and average them. The page will change so it could have 3 prices one day and 20 the next. The part i am struggling with is separating the prices so
Get HTML table into pandas Dataframe, not list of dataframe objects
I apologize if this question has been answered elsewhere but I have been unsuccessful in finding a satisfactory answer here or elsewhere. I am somewhat new to python and pandas and having some difficulty getting HTML data into a pandas dataframe. In the pandas documentation it says .read_html() returns a list of dataframe objects, so when I try to do
Python regex to extract html paragraph
I’m trying to extract parapgraphs from HTML by using the following line of code: but it returns none even though I know there is. Why? Answer Why don’t use an HTML parser to, well, parse HTML. Example using BeautifulSoup: Note that text=True helps to filter out empty paragraphs.
Beautiful Soup 4: Remove comment tag and its content
The page that I’m scraping contains these HTML codes. How do I remove the comment tag <!– –> along with its content with bs4? Answer You can use extract() (solution is based on this answer): PageElement.extract() removes a tag or string from the tree. It returns the tag or string that was extracted. As a result you get your div
heavy regex – really time consuming
I have the following regex to detect start and end script tags in the html file: meaning in short it will catch: <script “NOT THIS</s” > “NOT THIS</s” </script> it works but needs really long time to detect <script>, even minutes or hours for long strings The lite version works perfectly even for long string: however, the extended pattern I