I am looking for a way to do web scraping on a web page after typing in its search box. Let me explain better with an example: I am looking for an R function that writes the word "notebook" directly on the amazon home page so that I can subsequently do web scraping of that generated page.
Any help?
Any suggestions?
Maybe I could do it in Python?
Thanks everyone for the help.
In python you have several modules designed for web scraping, i let you a list with the most common ones.
Requests
Beautiful Soup 4
lxml
Selenium
Scrapy
Just scrape the webpage from
https://www.amazon.com/s?k=whatever you want to search
Any sort of website will give you a url with a query when you search. just scrape from that url.
Related
I am trying to scrape the addresses of Dunkin' locations using this website: https://www.dunkindonuts.com/en/locations?location=10001. However, when trying to access the list of each Dunkin' on the web page, it shows up as comment. How do I access the list? I've never done web scraping before.
Here's my current code, I'm expecting a list of Dunkin' stores which I can then extract the addresses from.
requests.get() will return the raw HTML for a web page. This is only the beginning of the journey when you view this page in the browser. Your browser will parse that HTML to create the DOM. It will load other resources, such as images and scripts from other files. Then it will execute those scripts. In the modern web, those scripts will modify the DOM to give the page that you finally see in the browser. requests alone doesn't give you all that.
One solution is to use a library that loads the HTML into a browser and does all of the magic. selenium is one such library.
I am Yasa James, 14, and I am new to web scraping.
I am trying to extract titles and links from this website.
As an so called "Utako" and a want-to-be programmer, I want to create a program that extract links and titles at the same time. I am currently using lxml because I cant download selenium, limited internet, very slow internet because Im from a province in philippines and I think its faster than other modules that I've used.
here's my code:
from lxml import html
import requests
url = 'https://animixplay.to/dr.%20stone'
page = requests.get(url)
doc = html.fromstring(page.content)
anime = doc.xpath('//*[#id="result1"]/ul/li[1]/p[1]/a/text()')
print(anime)
One thing I've noticed is that is I want to grab the value of an element from any of the divs, is it gives out an empty list as an output.
I hope you can help me with this my Seniors. Thank You!
Update:
i used requests-html to fix my problem and now its working, Thank you!
The reason this does not work is that the site you're trying to fetch uses JavaScript to generate the results, which means Selenium is your only option if you want to scrape the HTML. Any static fetching and processing libraries like lxml and beautifulsoup simply do not have the ability to parse the result of JavaScript calls.
I have been trying to scrape some data using beautiful soup from https://www.eia.gov/coal/markets/. However when I parse the contents some of the data does not show up at all. Those data fields are visible in chrome inspector but not in the soup. The thing is they do not seem to be text elements. I think they are fed using an external database. I have attached the screenshots below. Is there any other way to scrape that data?
Thanks in advance.
Google inspector:
Beautiful soup parsed content:
#DMart is correct. The data you are looking for is being populated by Javascript, have a look at line 1629 in the page source. Beautiful soup doesn't act as a client browser so there is nowhere for the JS to execute. So it looks like selenium is your best bet.
See This thread for more information.
Not enough detail in your question but this information is probably dynamically loaded and you're not fetching the entire page source.
Without your code it's tough to see if you're using selenium to do it (you tagged this questions as such) which may indicate you're using page_source which does not guarantee you the entire completed source of the page you're looking at.
If you're using requests its even more unlikely you're capturing the entire page's completed source code.
The data is loaded via ajax, so it is not available in the initial document. If you go to the networking tab in chrome dev tools you will see that the site reaches out to https://www.eia.gov/coal/markets/coal_markets_json.php. I searched for some of the numbers in the response and it looks like the data you are looking for is there.
This is a direct json response from the backend. Its better than selenium if you can get it to work.
Thanks you all!
Opening the page using selenium using a webdriver and then parsing the page source using beautiful soup worked.
webdriver.get('https://www.eia.gov/coal/markets/')
html=webdriver.page_source
soup=BS(html)
table=soup.find("table",{'id':'snl_dpst'})
rows=table.find_all("tr")
I am just starting with web scraping and unfortunately, I am facing a showstopper: I would like pull some financial data but it seems that the website is quite complex (dynamic content etc.).
Data I would like pull
Website:
https://www.de.vanguard/web/cf/professionell/de/produktart/detailansicht/etf/9527/EQUITY/performance
So far, I've used Beautiful Soup to get this done. However, I cannot even find the table. Any ideas?
Look into using selenium to launch an automated web browser. This loads the web page and it's associated dynamic content, as well as allow you the option to 'click' on certain web elements to load content that may be generated on_click. You can use this in tandem with BeautifulSoup by passing driver.page_source to BeautifulSoup and parsing through it that way.
This SO answer provides a basic example that would serve as a good starting point: Python WebDriver how to print whole page source (html)
I have recently started to work with Scrapy. I am trying to gather some info from a large list which is divided into several pages(about 50). I can easily extract what I want from the first page including the first page in the start_urls list. However I don't want to add all the links to these 50 pages to this list. I need a more dynamic way. Does anyone know how I can iteratively scrape web pages? Does anyone have any examples of this?
Thanks!
use urllib2 to download a page. Then use either re (regular expressions) or BeautifulSoup (an HTML parser) to find the link to the next page you need. Download that with urllib2. Rinse and repeat.
Scapy is great, but you dont need it to do what you're trying to do
Why don't you want to add all the links to 50 pages? Are the URLs of the pages consecutive like www.site.com/page=1, www.site.com/page=2 or are they all distinct? Can you show me the code that you have now?