How to scrape specific element with a certain id in BeautifulSoup?

Advertisements I am trying to scrape the table from baseball reference: https://www.baseball-reference.com/players/b/bondsba01.shtml, and the table I want is the one with id="batting_value", but when I trying to print out what I have scraped, the program returned an empty list instead. Any information or assistance is appreciated, thanks! from bs4 import BeautifulSoup from urllib.request import urlopen… Read More How to scrape specific element with a certain id in BeautifulSoup?

How to scrape a specific word from a div of pages on wikidata?

Advertisements I am trying to extract the word ‘human’ from the info of persons I search on wikidata.org. For example, for the page https://www.wikidata.org/wiki/Q5284, the word human exists in the following div: <div class="wikibase-snakview-value wikibase-snakview-variation-valuesnak"><a title="Q5" href="/wiki/Q5">human</a></div> I am using the following code, which produces the whole line above, not only the word ‘human’ :… Read More How to scrape a specific word from a div of pages on wikidata?

Clear tag inner content with Beautiful Soup

Advertisements i have a text like this: <p>In an article talking about ResNet, there has the following statement</p>\n\n<p><strong>The second, the bottleneck unit, consists of three stacked operations. A series of 1×1, 3×3 and 1×1 convolutions substitute the previous design. The two 1×1 operations are designed for reducing and restoring dimensions. This leaves the 3×3 convolution,… Read More Clear tag inner content with Beautiful Soup

How to build relevant auto generating tags recommendation model in python

Advertisements How to Build a Relevant Auto Generating Tags Recommendation Model in Python One of the most important features of any blog or website is its ability to recommend relevant tags to users. This not only helps users find related content easily, but it also improves the overall user experience. In this blog post, we’ll… Read More How to build relevant auto generating tags recommendation model in python

Unable to convert scraped list of dictionaries to a Pandas DataFrame

Advertisements I am trying to scrape tables from the following website: https://www.rotowire.com/betting/mlb/player-props.php Data for each table is within a script on the site starting with data: [{ … }]. This can be pulled using a combination of BeautifulSoup and regex. I cannot seem to convert this data into a Pandas DataFrame and it only reads… Read More Unable to convert scraped list of dictionaries to a Pandas DataFrame

How to get the "title" from the <span>

Advertisements How can I get the title "Product Manager" from the code below? <div class="new_job_name" data-v-99ef4628=""> <span data-v-99ef4628="">Product Manager</span> </div> If the title was in the <div class= "new_job_name">, I can get it using the code below: soup.find(class_="new_job_name").attrs["title"] Now I have no idea how to get the "title" within the <span> under the <div class>.… Read More How to get the "title" from the <span>

Remove all text from a html node using regex

Advertisements Is it possible to remove all text from HTML nodes with a regex? This very simple case seems to work just fine: import htmlmin html = """ <li class="menu-item"> <p class="menu-item__heading">Totopos</p> <p>Chips and molcajete salsa</p> <p class="menu-item__details menu-item__details–price"> <strong> <span class="menu-item__currency"> $ </span> 4 </strong> </p> </li> """ print(re.sub(">(.*?)<", ">\1<", htmlmin.minify(html))) I tried to… Read More Remove all text from a html node using regex

Attempting to download a .csv via a link on within a page w/ python

Advertisements I’m attempting to download and use data contained in a .csv file. I’m pretty amatuer at scraping or most things coding related and would appreciate any help. Is it possible I’m being blocked from pulling the link from the website? I asked the AI gods a bunch of different ways also and they aren’t… Read More Attempting to download a .csv via a link on within a page w/ python