I want to get an image from a website, but the website loads a placeholder image before the image I want. I need the image for the logic of the program.
This is the code:
import requests
from bs4 import BeautifulSoup
def main():
r = requests.get("https://www.simcoecountyschoolbus.ca/")
soup = BeautifulSoup(r.content, "html.parser")
northdiv= soup.find("div", id="status-icon-north")
northimages = northdiv.select('img')
statusNorth = northimages[0].get("src")
westdiv = soup.find("div", id="status-icon-west")
print(westdiv)
statusWest = westdiv.select("img")[0].get("src")
print(statusWest)
main()
I want to get the image "images/status-none.png" but it returns "images/status-some.png"
It looks like javascript is loading that data after the initial page load. You'd be better off getting the json data that is loaded from the backend request to this endpoint: https://www.simcoecountyschoolbus.ca/status.json
To find this you can open your browsers Developer Tools, then click the Network - fetch/XHR button and refresh the page... here you will see the backend api requests that load data after the initial page load. If you click on the one that says "status" you'll see the endpoint url, as well as the response which you can inspect for the data you want.
Related
how to get access to this API:
import requests
url = 'https://b2c-api-premiumlabel-production.azurewebsites.net/api/b2c/page/menu?id_loja=2691'
print(requests.get(url))
I'm trying to retrieve data from this site via API, I found the url above and I can see its data , however I can't seem to get it right because I'm running into code 403.
This is the website url:
https://www.nagumo.com.br/osasco-lj46-osasco-ayrosa-rua-avestruz/departamentos
I'm trying to retrieve items category, they are visible for me, but I'm unable to take them.
Later I'll use these categories to iterate over products API.
API Category
Obs: please be gentle it's my first post here =]
To get the data as you shown in your image the following headers and endpoint are needed:
import requests
headers = {
'sm-token': '{"IdLoja":2691,"IdRede":884}',
'User-Agent': 'Mozilla/5.0',
'Referer': 'https://www.nagumo.com.br/osasco-lj46-osasco-ayrosa-rua-avestruz/departamentos',
}
params = {
'id_loja': '2691',
}
r = requests.get('https://www.nagumo.com.br/api/b2c/page/menu', params=params, headers=headers)
r.json()
Not sure exactly what your issue is here.
Bu if you want to see the content of the response and not just the 200/400 reponses. You need to add '.content' to your print.
Eg.
#Create Session
s = requests.Session()
#Example Connection Variables, probably not required for your use case.
setCookieUrl = 'https://www...'
HeadersJson = {'Accept-Language':'en-us'}
bodyJson = {"__type":"xxx","applicationName":"xxx","userID":"User01","password":"password2021"}
#Get Request
p = s.get(otherUrl, json=otherBodyJson, headers=otherHeadersJson)
print(p) #Print response (200 etc)
#print(p.headers)
#print(p.content) #Print the content of the response.
#print(s.cookies)
I'm also new here haha, but besides this requests library, you'll also need another one like beautiful soup for what you're trying to do.
bs4 installation: https:https://www.crummy.com/software/BeautifulSoup/bs4/doc/#installing-beautiful-soup
Once you install it and import it, it's just continuing what you were doing to actively get your data.
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
this gets the entire HTML content of the page, and so, you can get your data from this page based on their css selectors like this:
site_data = soup.select('selector')
site_data is an array of things with that 'selector', so a simple for loop and an array to add your items in would suffice (as an example, getting links for each book on a bookstore site)
For example, if i was trying to get links from a site:
import requests
from bs4 import BeautifulSoup
sites = []
URL = 'https://b2c-api-premiumlabel-production.azurewebsites.net/api/b2c/page/menu?id_loja=2691'
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
links = soup.select("a") # list of all items with this selector
for link in links:
sites.append(link)
Also, a helpful tip is when you inspect the page (right click and at the bottom press 'inspect'), you can see the code for the page. Go to the HTML and find the data you want and right click it and select copy -> copy selector. This will make it really easy for you to get the data you want on that site.
helpful sites:
https://oxylabs.io/blog/python-web-scraping
https://realpython.com/beautiful-soup-web-scraper-python/
import requests
URL = 'https://www.moneycontrol.com/india/stockpricequote/cigarettes/itc/ITC'
response = requests.get(URL)
soup = BeautifulSoup(response.text,'html.parser')
# time.sleep(5)
var1 = float(soup.find('td', attrs={'class': 'espopn'}).get_text().replace(",",""))
With this code, I am able to the value of var1, but the web page which I am accessing not showing real-time data once we land on the web page, it took 1 sec to update the real-time value once we land on the web page.
Due to which the value that I am getting in var1 is not a real-time value.
Wanted to know how I can wait once I land on the web page before doing web scraping.
Thanks in Advance.
1.As Data is updating dynamic so hard to get from bs4 so you can try from api itself so how to find it
2.Go to chrome developer mode and then Network tab find xhr and now reload your website under Name tab you will find links but there are lot of
3.But on left side there is search so you can search price and from it gives url and you click on that go to headers copy that url and make call using requests module
import requests
from bs4 import BeautifulSoup
res=requests.get("https://api.moneycontrol.com/mcapi/v1/stock/get-stock-price?scIdList=ITC%2CVST%2CGPI%2CIWP540954%2CGTC&scId=ITC")
main_data=res.json()
main_data['data'][0]
Output:
{'companyName': 'ITC',
'lastPrice': '215.25',
'perChange': '-0.62',
'marketCap': '264947.87',
'scTtm': '19.99',
'perform1yr': '7.33',
'priceBook': '4.16'}
Image:
I am working on a web scraping project and want to get a list of products from Dell's website. I found this link (https://www.dell.com/support/home/us/en/04/products/) which pulls up a box with a list of product categories (really just redirect urls. If it doesn't come up for you click the button which says "Browse all products"). I tried using Python Requests to GET the page and save the text to a file to parse through, but the response doesn't contain any of the categories/redirect urls. My code is as basic as it gets:
import requests
url = "https://www.dell.com/support/home/us/en/04/products/"
page = requests.get(url)
with open("laptops.txt", "w", encoding="utf-8") as outf:
outf.write(page.text)
outf.close()
Is there a way to get these redirect urls? I am essentially trying to make my own site map of their products so that I can scrape the details of each one. Thanks
This page uses JavaScript to get and display these links - but requests/urllib and BeautifulSoup/lxml can't run JavaScript.
Using DevTools in Firefox/Chrome (tab: Network) I found it reads it from url
https://www.dell.com/support/components/productselector/allproducts?category=all-products/esuprt_&country=pl&language=pl®ion=emea&segment=bsd&customerset=plbsd1&openmodal=true&_=1589265310743
so I use it to get links.
You may have to to change country=pl&language=pl in url to get it in different language.
import requests
from bs4 import BeautifulSoup as BS
url = "https://www.dell.com/support/components/productselector/allproducts?category=all-products/esuprt_&country=pl&language=pl®ion=emea&segment=bsd&customerset=plbsd1&openmodal=true&_=1589265310743"
response = requests.get(url)
soup = BS(response.text, 'html.parser')
all_items = soup.find_all('a')
for item in all_items:
print(item.text, item['href'])
BTW: Other method is it use Selenium to control real web browser which can run JavaScript.
try using selenium chrome driver it helps for handling dynamic data on website and also features like clicking buttons, handling page refresh etc.
Beginner guide to web scraping
The original code is here : https://github.com/amitabhadey/Web-Scraping-Images-using-Python-via-BeautifulSoup-/blob/master/code.py
So i am trying to adapt a Python script to collect pictures from a website to get better at web scraping.
I tried to get images from "https://500px.com/editors"
The first error was
The code that caused this warning is on line 12 of the file/Bureau/scrapper.py. To get rid of this warning, pass the additional argument
'features="lxml"' to the BeautifulSoup constructor.
So I did :
soup = BeautifulSoup(plain_text, features="lxml")
I also adapted the class to reflect the tag in 500px.
But now the script stopped running and nothing happened.
In the end it looks like this :
import requests
from bs4 import BeautifulSoup
import urllib.request
import random
url = "https://500px.com/editors"
source_code = requests.get(url)
plain_text = source_code.text
soup = BeautifulSoup(plain_text, features="lxml")
for link in soup.find_all("a",{"class":"photo_link "}):
href = link.get('href')
print(href)
img_name = random.randrange(1,500)
full_name = str(img_name) + ".jpg"
urllib.request.urlretrieve(href, full_name)
print("loop break")
What did I do wrong?
Actually the website is loaded via JavaScript using XHR request to the following API
So you can reach it directly via API.
Note that you can increase parameter rpp=50 to any number as you want for getting more than 50 result.
import requests
r = requests.get("https://api.500px.com/v1/photos?rpp=50&feature=editors&image_size%5B%5D=1&image_size%5B%5D=2&image_size%5B%5D=32&image_size%5B%5D=31&image_size%5B%5D=33&image_size%5B%5D=34&image_size%5B%5D=35&image_size%5B%5D=36&image_size%5B%5D=2048&image_size%5B%5D=4&image_size%5B%5D=14&sort=&include_states=true&include_licensing=true&formats=jpeg%2Clytro&only=&exclude=&personalized_categories=&page=1&rpp=50").json()
for item in r['photos']:
print(item['url'])
also you can access the image url itself in order to write it directly!
import requests
r = requests.get("https://api.500px.com/v1/photos?rpp=50&feature=editors&image_size%5B%5D=1&image_size%5B%5D=2&image_size%5B%5D=32&image_size%5B%5D=31&image_size%5B%5D=33&image_size%5B%5D=34&image_size%5B%5D=35&image_size%5B%5D=36&image_size%5B%5D=2048&image_size%5B%5D=4&image_size%5B%5D=14&sort=&include_states=true&include_licensing=true&formats=jpeg%2Clytro&only=&exclude=&personalized_categories=&page=1&rpp=50").json()
for item in r['photos']:
print(item['image_url'][-1])
Note that image_url key hold different img size. so you can choose your preferred one and save it. here I've taken the big one.
Saving directly:
import requests
with requests.Session() as req:
r = req.get("https://api.500px.com/v1/photos?rpp=50&feature=editors&image_size%5B%5D=1&image_size%5B%5D=2&image_size%5B%5D=32&image_size%5B%5D=31&image_size%5B%5D=33&image_size%5B%5D=34&image_size%5B%5D=35&image_size%5B%5D=36&image_size%5B%5D=2048&image_size%5B%5D=4&image_size%5B%5D=14&sort=&include_states=true&include_licensing=true&formats=jpeg%2Clytro&only=&exclude=&personalized_categories=&page=1&rpp=50").json()
result = []
for item in r['photos']:
print(f"Downloading {item['name']}")
save = req.get(item['image_url'][-1])
name = save.headers.get("Content-Disposition")[9:]
with open(name, 'wb') as f:
f.write(save.content)
Looking at the page you're trying to scrape I noticed something. The data doesn't appear to load until a few moments after the page finishes loading. This tells me that they're using a JS framework to load the images after page load.
Your scraper will not work with this page due to the fact that it does not run JS on the pages it's pulling. Running your script and printing out what plain_text contains proves this:
<a class='photo_link {{#if hasDetailsTooltip}}px_tooltip{{/if}}' href='{{photoUrl}}'>
If you look at the href attribute on that tag you'll see it's actually a templating tag used by JS UI frameworks.
Your options now are to either see what APIs they're calling to get this data (check the inspector in your web browser for network calls, if you're lucky they may not require authentication) or to use a tool that runs JS on pages. One tool I've seen recommended for this is selenium, though I've never used it so I'm not fully aware of its capabilities; I imagine the tooling around this would drastically increase the complexity of what you're trying to do.
I want to scrap data in the <span/> attribute for a given website using BeautifulSoup. You can see at the screenshot where it locates. However, the code that I'm using is just returning an empty list. I can't find the data in the list that I want. What am I doing wrong?
from bs4 import BeautifulSoup
from urllib import request
url = "http://144.122.167.229"
opener = urllib.request.build_opener()
opener.addheaders = [('User-agent', 'Mozilla/5.0')]
data = opener.open(url).read()
soup = BeautifulSoup(data, 'html.parser')
your_data = list()
for line in soup.findAll('span', attrs={'id': 'mc1_legend_value'}):
your_data.append(line.text)
for line in soup.findAll('span'):
your_data.append(line.text)
ScreenShot : https://imgur.com/a/z0vNh
Thank you.
The dashboard from the screenshot looks to me like something javascript would generate. If you can't find the tag in the page source, that means it was later added by some javascript code or your browser tried to fix some html which it considered broken or out of place.
Keep in mind that right now you're sending a request to a server and it serves you the plain html back. A browser would parse the html and execute any javascript code if it finds any. In your case, beautiful soup or urllib doesn't execute any javascript code. urllib fetches the html and beautiful soup makes it easier to parse and extract relevant information.
If you want to get the value from that tag, I recommend using a headless browser to render your page and just after that parse it's html through beautiful soup or any other parser.
Give a try to selenium: http://selenium-python.readthedocs.io/.
You can control your own browser programmatically. You can make it request the page for you, render it, save the new html in a variable, parse it using beautifoul soup and extract the values you're interested in. I believe that it already has it's own parser implemented which you can use directly to search for that tag.
Or maybe even scrapinghub's splash: https://github.com/scrapinghub/splash
If the dashboard communicates with a server in real-time and that value is continuously received from the server, you could take a look at what requests are sent to the server in order to get that value. Take a look in developer console under the networks tab. Press F12 to open the developer console and click on Network. Refresh the page and you should get all the request send to the server along with the responses. Requests sent by the javascript are usually XMLHttpRequests. Click on XHR in the Network tab to filter out any other requests. (These are instructions for Google Chrome. Firefox might differ a bit).