I am currently doing a project to improve my python knowledge. It's an attempt to use beautifulsoup to find specific data being held in <p> with no class from the website text I have pasted the modules I am using…
I want to extract info from this website using Scrapy. But the info I need is in a JSON file; and this JSON file has unwanted literal newlines characters in only the description section. Here is an example page and…
I'm trying to create a Python script that gets information about flyers on the site "doveconviene.it", this site has some flyers (not every flyer, see next paragraph) with clickable products that gives the product name and price inside a modal…
from flask import Flask, render_template from bs4 import BeautifulSoup import requests import pandas as pd app = Flask(__name__) @app.route("/") def job_scraper(): url01 = "https://www.linkedin.com/jobs/search?keywords=Python%20%28Programming%20Language%29&location=Las%20Vegas%2C%20Nevada%2C%20United%20States&geoId=100293800¤tJobId=3477751834&position=7&pageNum=1" url_request_01 = requests.get(url01) soup = BeautifulSoup(url_request_01.text, 'html.parser') job_title_pull = soup.find_all(class_="base-search-card__title") job_subtitle_pull = soup.find_all(class_="base-search-card__subtitle") job_location_pull = soup.find_all(class_="job-search-card__location")…
I'm trying to build a simple web scrapping tool. Right now I'm having an issue extracting data from each row because <tr> header is missing. (Only <tr> header is missing, and <tr> header is still there) Below is my code…
I'm brand new to web scraping in R and not very familiar with HTML code. I'm trying to scrape data from the top 50 IMDB movies at https://www.imdb.com/search/title/?sort=user_rating,desc&groups=top_250. I know to use read_html which gives me an XML object, and…
I am running vscode v1.85.1 within anaconda navigator 2.4.0 on a 64-bit windows machine running windows 10. The python version in vscode is 3.9.12. I am attempting a simple extraction of the contents of the title tag of an html…
please check this link https://maroof.sa/businesses. it is a link for website from which i want to extract links. for example if you scroll down you would find a name for store "Marwa store" if you click on this card this…
from bs4 import BeautifulSoup import re text = "<tr> <td style="width:127.5pt;padding:3.75pt 0in 3.75pt 0in" width="170"> <p class="MsoNormal"><span style="font-size:11.0pt">Job #<o:p></o:p></span></p> </td> <td style="padding:3.75pt 0in 3.75pt 3.75pt"> <p class="MsoNormal"><strong><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>TEST-12311</span></strong><span style="font-size:11.0pt"><o:p></o:p></span></p> </td> </tr>" soup = BeautifulSoup(text,"html.parser") print(soup) job_number = soup.find("span", string="Job #")…
I wrote the below python script to return the item name, price, and link for items listed on https://shop.doverstreetmarket.com/collections/shops-noah import scrapy class DSMUKSpider(scrapy.Spider): name = 'dsmuk' start_urls = ['https://shop.doverstreetmarket.com/collections/shops-noah'] def parse(self, response): for dsmuk_product in response.css('article.h-full'): try: yield { 'name':…