You seem to be on the right track with your code. I hope this points you in the write direction. Unfortunately, I am not aware of anyways to search the WHOLE page for a specific div that's buried like that. Its a bit tedious, but thats the way its done. Just be sure each div you call for is contained in the one previous. The first div on the page is a div id "wrapper" with class "main-wrapper", then inside of that div the relevant one that points towards the price history would be the div with id "home-detail-lightbox-container". What I mean is, what is that div contained in, and whats the thing inside of it contained in, etc all the way back to the top. You need to find the specific path to the div. I looked through the website and couldn't find a div with tag "hdp_sc-1j01zad-0 hGwlRq". Also, you can store the scraped data in a database or any kind of tabular format such as CSV, XLS, etc., so you can access that information easily. That means, a tool like beautiful soup wont be able to access the data itself and will need an additional plugin. Get The Best web scraping python Services Do web scraping python Do web scraping ,python web scraper, data scraping, python code Make web scraping python. Web scraping generally is the process of extracting data from the web you can analyze the data and extract useful information. One thing to note: some divs and tags are dynamically loaded in by the webpage you use to inspect the element. Lo strumento Python di web scraping Scrapy utilizza un parser HTML per estrarre informazioni dal codice sorgente HTML della pagina. I expected it to print the price and date, but it gave me an error. We can do this by right-clicking on the page we want to scrape and select inspect element. I tried to scrape a zillow listing for the price history. Price_history_section = soup.find('div', )ĪttributeError: 'NoneType' object has no attribute 'find' Code: import requests from bs4 import BeautifulSoup URL of the Zillow page to scrape url input ('input url') Send a GET request to the URL response requests.get (url) Parse the HTML content of the page with BeautifulSoup soup. Soup = BeautifulSoup(ntent, 'html.parser') Here is the link to the listing if you want to check out the html content yourself. # Parse the HTML content of the page with BeautifulSoup Here is the link to the listing if you want to check out the html content yourself. I realize it is telling me it can't find the element, but I have inspected the html content several times and I have the right class names. This system makes it possible to tailor data extraction to different site structures. I am trying to scrape price history data from zillow, but I keep getting a Nonetype error. Web Scraper allows you to build Site Maps from different types of selectors.
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