I've been trying to create a simple web scraper program to scrape the book titles of a 100 bestseller list on Amazon. I've used this code before on another site with no problems. But for some reason, it scraps the first page fine but then posts the same results for the following iterations.
I'm not sure if it's something to do with how Amazon creates its urls or not. When I manually enter the "#2" (and beyond) at the end of the url in the browser it navigates fine.
(Once the scrape is working I plan on dumping the data in csv files. But for now, print to the terminal will do.)
import requests
from bs4 import BeautifulSoup
for i in range(5):
url = "https://smile.amazon.com/Best-Sellers-Kindle-Store-Dystopian-Science-Fiction/zgbs/digital-text/6361470011/ref=zg_bs_nav_kstore_4_158591011#{}".format(i)
r = requests.get(url)
soup = BeautifulSoup(r.content, "lxml")
for book in soup.find_all('div', class_='zg_itemWrapper'):
title = book.find('div', class_='p13n-sc-truncate')
name = book.find('a', class_='a-link-child')
price = book.find('span', class_='p13n-sc-price')
print(title)
print(name)
print(price)
print("END")
This is a common problem that you have to face, some sites load the data asynchronous(with ajax) those are XMLHttpRequest that you can see in the tab networking of your DOM inspector. Usually the websites load the data from a different endpoint with POST method to solve that you can use urllib or requests library.
In this case the request is through a GET method and you can scrape it from this url with no need of extend your code https://www.amazon.com/Best-Sellers-Kindle-Store-Dystopian-Science-Fiction/zgbs/digital-text/6361470011/ref=zg_bs_pg_3?_encoding=UTF8&pg=3&ajax=1 where you only change the pg parameter
Related
I want to scrape Korea Exchange Rate by using http://www.smbs.biz/ExRate/StdExRate.jsp this website.
Daily exchange rate is provided by table, So I tried to scrape using BeautifulSoup, but it's responses are empty.
Table is like,
url = "http://www.smbs.biz/ExRate/StdExRate.jsp"
html = requests.get(url, verify=False).text
soup = BeautifulSoup(html, 'html.parser')
title = soup.select_one('#frm_SearchDate > div:nth-child(17) > table')
title.text
Result :
'\n일별 매매기준율\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n'
Always and first of all, take a look at your soup to see if all the expected ingredients are there.
Data is loaded via XHR request and table is rendered dynamically by JavaScript, That is why you won't get the table with BeautifulSoup cause it could not find it in response of your request.
There are option to get it anyway:
check your browser dev tools on XHR tab to locate the api and pull part of info from there.
use selenium to get driver.page_source with whole table from the 'browser like'rendered version of website.
Example
import requests
from bs4 import BeautifulSoup
url = 'http://www.smbs.biz/ExRate/StdExRate_xml.jsp?arr_value=USD_2023-01-12_2023-02-03'
soup=BeautifulSoup(requests.get(url).text)
{s.get('label'):s.get('value') for s in soup.select('set')}
Output
{'23.01.12': '1245.3',
'23.01.13': '1244.6',
'23.01.16': '1240.6',
'23.01.17': '1234',
'23.01.18': '1238.5',
'23.01.19': '1239.8',
'23.01.20': '1236',
'23.01.25': '1234.4',
'23.01.26': '1233.4',
'23.01.27': '1231.4',
'23.01.30': '1230.2',
'23.01.31': '1228.7',
'23.02.01': '1230.8',
'23.02.02': '1231.4',
'23.02.03': '1219.3'}
I tried to fetch all product's name from the web page, but I could have only 12.
If I scroll down the web page then it gets refreshed and adds more information.
How can I to get all information?
import requests
from bs4 import BeautifulSoup
import re
url = "https://www.outre.com/product-category/wigs/"
res = requests.get(url)
res.raise_for_status()
soup = BeautifulSoup(res.text, "lxml")
items = soup.find_all("div", attrs={"class":"title-wrapper"})
for item in items:
print(item.p.a.get_text())
Your code is good. The thing is on the website; the products are dynamically loaded, so when you do your request you can only get the first 12 products.
You can check the developer console inside your browser to track the Ajax call made during browsing.
I did it, and it turns out a call is made to retrieve more product to the URL
https://www.outre.com/product-category/wigs/page/2/
So if you want to get all the products you need to browse multiple pages. I suggest you to use a loop and use your code several times.
N.B.: You can try to check the website to see is there is a more convenient place to get the product (like not from the main page)
The page loads the products from different URL via JavaScript, so Beautiful Soup doesn't see it. To get all pages, you can use the following example:
import requests
from bs4 import BeautifulSoup
url = "https://www.outre.com/product-category/wigs/page/{}/"
page = 1
while True:
soup = BeautifulSoup(requests.get(url.format(page)).content, "html.parser")
titles = soup.select(".product-title")
if not titles:
break
for title in titles:
print(title.text)
page += 1
Prints:
...
Wet & Wavy Loose Curl 18″
Wet & Wavy Boho Curl 20″
Nikaya
Jeanette
Natural Glam Body
Natural Free Deep
I created bs4 web-scraping app with python. My program return empty list for review. For soup program runs normally.
from bs4 import BeautifulSoup
import requests
import pandas as pd
data = []
usernames = []
titles = []
comments = []
result = requests.get('https://www.kupujemprodajem.com/review.php?action=list')
soup = BeautifulSoup(result.text, 'html.parser')
review = soup.findAll('div', class_="single-review")
print(review)
for i in review:
header = i.find('div', class_="single-review__header")
footer = i.find('div', class_="comment-holder")
username = header.find('a', class_="single-review__username").text
title = header.find('div', class_="single-review__related-to").text
comment = footer.find('div', class_="single-review__comment").text
usernames.append(username)
titles.append(title)
comments.append(comment)
data.append(usernames)
data.append(titles)
data.append(comments)
print(data)
It isn't problem with class.
It looks like the reason this doesn't work is because the website needs a login in order to access that page. If in a private tab in a browser you where to visit https://www.kupujemprodajem.com/review.php?action=list, it would just take you to a login page.
There's 2 paths I can think of that you could take here:
Reverse engineer how the login process works and use the requests library to make a request to login and get (most likely) the session cookie from that in order to be able to request pages that require sign in.
(much simpler) use selenium instead. Selenium is a library that allows you to control a full browser instance, so you would be able to easily input credentials using this method. Beautiful soup on the other hand simply just parses html, so doing things like authenticating often take much more work in Beautiful Soup then they do in Selenium. I'd definitely suggest looking into it if you haven't already.
I'm trying to parse a page to learn beautifulSoup, here is the code
import requests as req
from bs4 import BeautifulSoup
page = 'https://www.pathofexile.com/trade/search/Delirium/w0brcb'
resp = req.get(page)
soup = BeautifulSoup(resp.content, 'html.parser')
res = soup.find_all('results')
print(len(res))
Result: 0
The goal is to get the first price.
I tried to look for the tag in Chrome and it's there, but probably the browser does another requests to get the results.
Can someone explain what am I missing here?
website's source code
Problems with the code
Your code is looking for a "results"-element. What you really have to look for (based on your screenshot) is a div-element with the class "results".
So try this:
soup.find_all("div", attrs={"class":"results"})
But if you want the price you have to dig deeper for the element which contains the price:
price = soup.find("span", attrs={"data-field":"price"}).text
Problems with the site
It seems the site is loading data by Ajax. With Requests you get the page before/without Ajax data call.
In this case you should change from Requests to Selenium module. This will navigate through a "real Browser" and you can wait until data is finally loaded before you start scraping.
Documentation: Selenium
I'm trying to scrape the links for the top 10 articles on medium each day - by the looks of it, it seems like all the article links are in the class "postArticle-content," but when I run this code, I only get the top 3. Is there a way to get all 10?
from bs4 import BeautifulSoup
import requests
r = requests.get("https://medium.com/browse/726a53df8c8b")
data = r.text
soup = BeautifulSoup(data)
data = soup.findAll('div', attrs={'class' : 'postArticle-content'})
for div in data:
links = div.findAll('a')
for link in links:
print(link.get('href'))
requests gave you the entire results.
That page contains only the first three. The website's design is to use javascript code, running in the browser, to load additional content and add it to the page.
You need an entire web browser, with a javascript engine, to do what you are trying to do. The requests and beautiful-soup libraries are not a web browser. They are merely an implementation of the HTTP protocol and an HTML parser, respectively.