How to do web scraping using Python Selenium?
I've been trying to figure out how to scrape information from the following site: I want to be able to extract the information within the table that looks like this: I tried to use the code below to pull out the rows containing the information I'm looking for, but it isn't producing any output. I just want a list of the months and years listed for each manufacturer, and maybe have one line per manufacturer (with the date1 and date2 columns blank) so I have something similar to this.
From bs4 import BeautifulSoup. Import requests. R = requests.get(') soup = BeautifulSoup(r.text) soup = r.text r.encoding = 'utf-8' soup = BeautifulSoup(r.text, 'lxml') print(soup.prettify()) I had thought it would be very simple, so I'd appreciate if anyone knows how to make this happen. I don't want a fully functional script, but a tutorial on what I can use in Selenium or a Python script I can implement to make this work.
Thank you! You can read in and print out information in one line. It is not necessary to use 3 functions to do so.
R = requests.get(') soup = BeautifulSoup(r.content, 'html5lib') curl = r.url table = soup.
How to use Selenium with BeautifulSoup in Python?
I know, there are many question/answers on the net with a similar title like mine. I just want to load webpages through an already defined and installed Selenium Driver using the Python beautifulsoup library and some other parameters. Is it possible to do so? If it is, please help me :)
Import BeautifulSoup. Import time. From selenium import webdriver. From selenium.webdriver.support.ui import WebDriverWait
From selenium.common.keys import Keys
Import re. Url = "www.imdb.com/"
# get the page. Browser = webdriver.Chrome() browser.get(url) time.sleep(10) # wait for an element to be loaded. Webbrowser = WebDriverWait(browser, 10).until(lambda driver: "Etiquetas" in driver.pagesource)
# grab the html. Soup = BeautifulSoup(browser.pagesource) print(soup.prettify()) You could try to catch this line using a regular expression (eg, /'Etiquetas'/). Import os. Os.7.051"
# set up your environment. From selenium.webdriver import ChromeOptions options = ChromeOptions(). Options.addargument("--headless") # driver = webdriver.Chrome() driver = webdriver.Chrome(executablepath=r"c:ChromeDriverchromedriver.exe", chromeoptions=options)
# driver.get(url) # time.sleep(20) # print driver.pagesource driver.get(url) print(driver.
Can you use BeautifulSoup and Selenium together?
I am currently scraping some data from websites, which I will need to scrape later on, for example: Website 1 url: text. Website 2 url:. I have tried BeautifulSoup, but as you might be able to tell from the question, I do not know how the code would look like in that part and therefore, can't continue. And after reading a little bit, I have also tried Selenium instead, however, if I understand it right, Selenium won't work for me (at least no longer does not in Python 3.4), is this correct? If so, is there any other way I can parse a webpage this way? Thanks in advance for the answers. Using selenium there is no difference between HTML parsing or scrapy or any other crawler. In python you need to install a suitable package and in this case you need python-bs4 (installation here).
From bs4 import BeautifulSoup. # get the content. Content = myurl.read() print(content). # using BS4 use read to extract content. Soup = BeautifulSoup(content). Print(soup). As for scraping the data, once you have the necessary HTML parsing the rest should be relatively simple, since the only thing you need is to get the links inside the div with class "mydiv" for example. Import requests. Import urllib.request res = requests.get('yoururl') content = res.text for link in content.split('