how to add a loop to Python script that scrapes a website

how to add a loop to Python script that scrapes a website - python

I have a script that scrapes a website. However, I am looking for it to incrementally scrape the websites for a range. So imagine the range is set to 0-999. The code is:
import requests
from bs4 import BeautifulSoup
URL = 'https://www.greekrank.com/uni/1/sororities/'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
uni = soup.find_all('h1', class_='overviewhead')
for title in uni:
print(title.text)
rows = soup.find_all('div', class_='desktop-view')
for row in rows:
print(row.text)
It would go to https://www.greekrank.com/uni/1/sororities/ scrape that, then go to https://www.greekrank.com/uni/2/sororities/ scrape that, etc.

Wrap it all in a loop. Also note the URL assignment.
import requests
from bs4 import BeautifulSoup
for x in range(0, 999):
URL = f'https://www.greekrank.com/uni/{x}/sororities/'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
uni = soup.find_all('h1', class_='overviewhead')
for title in uni:
print(title.text)
rows = soup.find_all('div', class_='desktop-view')
for row in rows:
print(row.text)

Related

anyone please guide me how can i do web scarping multiple pages of booking.com -

This is the link url
url = 'https://www.booking.com/searchresults.html?label=gen173nr-1FCAEoggI46AdIM1gEaGyIAQGYATG4ARfIAQzYAQHoAQH4AQKIAgGoAgO4AuS4sJ4GwAIB0gIkYWJlYmZiMWItNWJjMi00M2Y2LTk3MGUtMzI2ZGZmMmIyNzMz2AIF4AIB&aid=304142&dest_id=-2092174&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_c
Hotel_name = doc.find_all("div",{'class' : "fcab3ed991 a23c043802"})
this gives me the result of all hotel names in page number, 1, but how can I get the hotel names of all the pages?
I've tried this
import requests
from bs4 import BeautifulSoup
# Initialize the page number
page_number = 0
while True:
# Increment the page number
page_number += 1
# Make the GET request to the URL
url = f"https://www.booking.com/searchresults.html?label=gen173nr-1FCAEoggI46AdIM1gEaGyIAQGYATG4ARfIAQzYAQHoAQH4AQKIAgGoAgO4AuS4sJ4GwAIB0gIkYWJlYmZiMWItNWJjMi00M2Y2LTk3MGUtMzI2ZGZmMmIyNzMz2AIF4AIB&aid=304142&dest_id=-2092174&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&nflt=ht_id%3D204&rows=15&offset={page_number*15}"
response = requests.get(url)
# Parse the HTML content
soup = BeautifulSoup(response.content, 'html.parser')
# Extract the hotel information
hotels = soup.find_all('div', {'class' : "fcab3ed991 a23c043802"})
if not hotels:
break
for hotel in hotels:
price = hotel.find('div', {' data-testid="title'}).text
print(f"{price}")
but it gives me an empty list as an output.

Avoid selecting elements by classes that looks highly dynamic and use HTML structure instead. Check the number of total results and use it in range() to iterate the results.
Example
import requests, re
from bs4 import BeautifulSoup
data = []
soup = BeautifulSoup(
requests.get('https://www.booking.com/searchresults.html?label=gen173nr-1FCAEoggI46AdIM1gEaGyIAQGYATG4ARfIAQzYAQHoAQH4AQKIAgGoAgO4AuS4sJ4GwAIB0gIkYWJlYmZiMWItNWJjMi00M2Y2LTk3MGUtMzI2ZGZmMmIyNzMz2AIF4AIB&aid=304142&dest_id=-2092174&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&nflt=ht_id%3D204&rows=15',
headers={'user-agent':'some agent'}
).text)
num_results = int(re.search(r'\d+',soup.select_one('div:has(+[data-testid="pagination"])').text).group(0))
for i in range(0,int(num_results/25)):
soup = BeautifulSoup(
requests.get(f'https://www.booking.com/searchresults.html?label=gen173nr-1FCAEoggI46AdIM1gEaGyIAQGYATG4ARfIAQzYAQHoAQH4AQKIAgGoAgO4AuS4sJ4GwAIB0gIkYWJlYmZiMWItNWJjMi00M2Y2LTk3MGUtMzI2ZGZmMmIyNzMz2AIF4AIB&aid=304142&dest_id=-2092174&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&nflt=ht_id%3D204&rows=15&offset={int(i*25)}',
headers={'user-agent':'some agent'}
).text
)
data.extend([e.select_one('[data-testid="title"]').text for e in soup.select('[data-testid="property-card"]')])
data

How can I scrape Songs Title from this request that I have collected using python

import requests
from bs4 import BeautifulSoup
r = requests.get("https://gaana.com/playlist/gaana-dj-hindi-top-50-1")
soup = BeautifulSoup(r.text, "html.parser")
result = soup.find("div", {"class": "s_c"})
print(result.class)
From the above code, I am able to scrape this data
https://www.pastiebin.com/5f08080b8db82
Now I would like to scrape only the title of the songs and then make a list out of them like the below:
Meri Aashiqui
Genda Phool
Any suggestions are much appreciated!

Try this :
import requests
from bs4 import BeautifulSoup
r = requests.get("https://gaana.com/playlist/gaana-dj-hindi-top-50-1")
soup = BeautifulSoup(r.text, "html.parser")
result = soup.find("div", {"class": "s_c"})
#print(result)
div = result.find_all('div', class_='track_npqitemdetail')
name_list = []
for x in div:
span = x.find('span').text
name_list.append(span)
print(name_list)
this code will return all song name in name_list list.

How to get just links of articles in list using BeautifulSoup

Hey guess so I got as far as being able to add the a class to a list. The problem is I just want the href link to be added to the links_with_text list and not the entire a class. What am I doing wrong?
from bs4 import BeautifulSoup
from requests import get
import requests
URL = "https://news.ycombinator.com"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
results = soup.find(id = 'hnmain')
articles = results.find_all(class_="title")
links_with_text = []
for article in articles:
link = article.find('a', href=True)
links_with_text.append(link)
print('\n'.join(map(str, links_with_text)))
This prints exactly how I want the list to print but I just want the href from every a class not the entire a class. Thank you

To get all links from the https://news.ycombinator.com, you can use CSS selector 'a.storylink'.
For example:
from bs4 import BeautifulSoup
from requests import get
import requests
URL = "https://news.ycombinator.com"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
links_with_text = []
for a in soup.select('a.storylink'): # <-- find all <a> with class="storylink"
links_with_text.append(a['href']) # <-- note the ['href']
print(*links_with_text, sep='\n')
Prints:
https://blog.mozilla.org/futurereleases/2020/06/18/introducing-firefox-private-network-vpns-official-product-the-mozilla-vpn/
https://mxb.dev/blog/the-return-of-the-90s-web/
https://github.blog/2020-06-18-introducing-github-super-linter-one-linter-to-rule-them-all/
https://www.sciencemag.org/news/2018/11/why-536-was-worst-year-be-alive
https://www.strongtowns.org/journal/2020/6/16/do-the-math-small-projects
https://devblogs.nvidia.com/announcing-cuda-on-windows-subsystem-for-linux-2/
https://lwn.net/SubscriberLink/822568/61d29096a4012e06/
https://imil.net/blog/posts/2020/fakecracker-netbsd-as-a-function-based-microvm/
https://jepsen.io/consistency
https://tumblr.beesbuzz.biz/post/621010836277837824/advice-to-young-web-developers
https://archive.org/search.php?query=subject%3A%22The+Navy+Electricity+and+Electronics+Training+Series%22&sort=publicdate
https://googleprojectzero.blogspot.com/2020/06/ff-sandbox-escape-cve-2020-12388.html?m=1
https://apnews.com/1da061ce00eb531291b143ace0eed1c9
https://support.apple.com/library/content/dam/edam/applecare/images/en_US/appleid/android-apple-music-account-payment-none.jpg
https://standpointmag.co.uk/issues/may-june-2020/the-healing-power-of-birdsong/
https://steveblank.com/2020/06/18/the-coming-chip-wars-of-the-21st-century/
https://www.videolan.org/security/sb-vlc3011.html
https://onesignal.com/careers/2023b71d-2f44-4934-a33c-647855816903
https://www.bbc.com/news/world-europe-53006790
https://github.com/efficient/HOPE
https://everytwoyears.org/
https://www.historytoday.com/archive/natural-histories/intelligence-earthworms
https://cr.yp.to/2005-590/powerpc-cwg.pdf
https://quantum.country/
http://www.crystallography.net/cod/
https://parkinsonsnewstoday.com/2020/06/17/tiny-magnetically-powered-implant-may-be-future-of-deep-brain-stimulation/
https://spark.apache.org/releases/spark-release-3-0-0.html
https://arxiv.org/abs/1712.09624
https://www.washingtonpost.com/technology/2020/06/18/data-privacy-law-sherrod-brown/
https://blog.chromium.org/2020/06/improving-chromiums-browser.html

BeautifulSoup and scraping href's isn't working

Again I am having trouble scraping href's in BeautifulSoup. I have a list of pages that I am scraping and I have the data but I can't seem to get the hrefs even when I use various codes that work in other scripts.
So here is the code and my data will be below that:
import requests
from bs4 import BeautifulSoup
with open('states_names.csv', 'r') as reader:
states = [states.strip().replace(' ', '-') for states in reader]
url = 'https://www.hauntedplaces.org/state/alabama'
for state in states:
page = requests.get(url+state)
soup = BeautifulSoup(page.text, 'html.parser')
links = soup.findAll('div', class_='description')
# When I try to add .get('href') I get a traceback error. Am I trying to scrape the href too early?
h_page = soup.findAll('h3')
<h3>Gaines Ridge Dinner Club</h3>
<h3>Purifoy-Lipscomb House</h3>
<h3>Kate Shepard House Bed and Breakfast</h3>
<h3>Cedarhurst Mansion</h3>
<h3>Crybaby Bridge</h3>
<h3>Gaineswood Plantation</h3>
<h3>Mountain View Hospital</h3>

This works perfectly:
from bs4 import BeautifulSoup
import requests
url = 'https://www.hauntedplaces.org/state/Alabama'
r = requests.get(url)
soup = BeautifulSoup(r.text, 'lxml')
for link in soup.select('div.description a'):
print(link['href'])

Try that:
soup = BeautifulSoup(page.content, 'html.parser')
list0 = []
possible_links = soup.find_all('a')
for link in possible_links:
if link.has_attr('href'):
print (link.attrs['href'])
list0.append(link.attrs['href'])
print(list0)

How to crawl href - Python & beautifulsoup

I am currently crawling a web page (https://www.klook.com/city/30-kyoto/?p=1) using Python 3.4 and bs4 in order to collect the deeplinks of the respective activities.
I found that the links are located in the html source like this:
<a class="j_activity_item_link" href="/activity/1031-arashiyama-rickshaw-tour-kyoto/" class="j_activity_item_link" data-card-tags="{}" data-sold-out="false" data-price="40.0" data-city-id="30" data-id="1031" data-url-seo="arashiyama-rickshaw-tour-kyoto">
But after several trials, this href="/activity/1031-arashiyama-rickshaw-tour-kyoto/" never show up.
Here is my logic so far:
import requests
from bs4 import BeautifulSoup
user_agent = {'User-agent': 'Chrome/43.0.2357'}
for page in range(1,6):
r = requests.get("https://www.klook.com/city/30-kyoto" + "/?p=" + str(page))
soup = BeautifulSoup(r.content, "lxml")
g_data = soup.find_all("a", {"class": "j_activity_item_link"})
for item in g_data:
Deeplink = item.find_all("a")
for t in Deeplink:
print(t.get("href"))
Output:
Process finished with exit code 0
Could you guys help me put? Any feedback is appreciated.

Your "error" of error code 0 simply indicates that everything went ok with your run. According to your example, your list g_data should contain all of the a tags that you are interested in. You should not need the second for loop to again iterate through and find nested a tags. As a debugging step, print the length of your lists to ensure that they are not empty. See the following:
import requests
from bs4 import BeautifulSoup
user_agent = {'User-agent': 'Chrome/43.0.2357'}
for page in range(1,6):
r = requests.get("https://www.klook.com/city/30-kyoto" + "/?p=" + str(page))
soup = BeautifulSoup(r.content, "lxml")
g_data = soup.find_all("a", {"class": "j_activity_item_link"})
for item in g_data:
print(item.get("href"))

You can first find the number of pages of activities, and then use regex with BeautifulSoup:
import re
from bs4 import BeautifulSoup as soup
data = soup(str(urllib.urlopen('https://www.klook.com/city/30-kyoto/?p=1').read()), 'lxml')
page_numbers = [i.text for i in data.find_all('a', {'class':'p_num '})]
activities = {1:[i['href'] for i in data.find_all('a', {'href':re.compile("^/activity/")})]}
for page in page_numbers:
data = soup(str(urllib.urlopen('https://www.klook.com/city/30-kyoto/?p={}'.format(page)).read()), 'lxml')
activities[int(page)] = [i['href'] for i in data.find_all('a', {'href':re.compile("^/activity/")})]
Output:
{1: ['/activity/1079-one-day-kimono-rental-kyoto/', '/activity/1032-higashiyama-rickshaw-tour-kyoto/', '/activity/6128-kyoto-seaside-day-tour-osaka/', '/activity/1540-hankyu-1-day-tourist-pass-osaka/', '/activity/1777-icoca-ic-card-kyoto/', '/activity/1541-kix-airport-limousine-bus-transfer-kyoto/', '/activity/1753-randen-kyoto-bus-subway-1-day-pass-kyoto/', '/activity/3260-sagano-romantic-train-ticket-kyoto/', '/activity/793-japanese-lzakaya-cooking-course-kyoto/', '/activity/882-nishiki-market-teramachi-street-kyoto/', '/activity/792-morning-bento-cooking-course-kyoto/', '/activity/2918-sushi-class-experience-kyoto/', '/activity/6032-ninja-kyoto-restaurant-labyrinth-kyoto/', '/activity/5215-garden-ryokan-nanzenji-yachiyo-kyoto/', '/activity/1079-one-day-kimono-rental-kyoto/', '/activity/3260-sagano-romantic-train-ticket-kyoto/', '/activity/675-wifi-device-japan-kyoto/', '/activity/1031-arashiyama-rickshaw-tour-kyoto/', '/activity/657-day-trip-hiroshima-miyajima-kyoto/', '/activity/4774-4G-wifi-kyoto/', '/activity/2826-gionya-kimono-rental-kyoto/', '/activity/1464-kyoto-tower-admission-ticket-kyoto/', '/activity/2249-sagano-romantic-train-ticket-kyoto/', '/activity/1777-icoca-ic-card-kyoto/', '/activity/1541-kix-airport-limousine-bus-transfer-kyoto/', '/activity/1540-hankyu-1-day-tourist-pass-osaka/', '/activity/3532-wifi-device-japan-kyoto/', '/activity/1753-randen-kyoto-bus-subway-1-day-pass-kyoto/', '/activity/1319-4g-wifi-device-kyoto/', '/activity/1447-wi-ho-japan-wifi-device-kyoto/', '/activity/3826-wifi-device-japan-kyoto/', '/activity/2699-japan-wifi-device-taiwan-kyoto/', '/activity/3652-wifi-device-singapore-kyoto/', '/activity/1122-wi-ho-japan-wifi-device-kyoto/', '/activity/719-japan-docomo-sim-card-kyoto/', '/activity/6128-kyoto-seaside-day-tour-osaka/', '/activity/6241-nanzen-ji-fushimi-inari-taisha-sagano-romantic-train-day-tour/', '/activity/5137-guenpin-fugu-restaurant-kyoto/'], 2: ['/activity/1079-one-day-kimono-rental-kyoto/', '/activity/1032-higashiyama-rickshaw-tour-kyoto/', '/activity/6128-kyoto-seaside-day-tour-osaka/', '/activity/1540-hankyu-1-day-tourist-pass-osaka/', '/activity/1777-icoca-ic-card-kyoto/', '/activity/1541-kix-airport-limousine-bus-transfer-kyoto/', '/activity/1753-randen-kyoto-bus-subway-1-day-pass-kyoto/', '/activity/3260-sagano-romantic-train-ticket-kyoto/', '/activity/793-japanese-lzakaya-cooking-course-kyoto/', '/activity/882-nishiki-market-teramachi-street-kyoto/', '/activity/792-morning-bento-cooking-course-kyoto/', '/activity/2918-sushi-class-experience-kyoto/', '/activity/6032-ninja-kyoto-restaurant-labyrinth-kyoto/', '/activity/5215-garden-ryokan-nanzenji-yachiyo-kyoto/', '/activity/6543-arashiyama-golden-pavilion-temple-todaiji-kobe-mosaic-day-tour-kyoto/', '/activity/5198-nanzenji-junsei-restaurant-kyoto/', '/activity/7877-hanami-kimono-rental-kyoto/', '/activity/793-japanese-lzakaya-cooking-course-kyoto/', '/activity/9915-kyoto-osaka-sightseeing-pass-kyoto-japan/', '/activity/883-geisha-districts-tour-kyoto/', '/activity/1097-gion-kimono-experience-kyoto/', '/activity/6032-ninja-kyoto-restaurant-labyrinth-kyoto/', '/activity/792-morning-bento-cooking-course-kyoto/', '/activity/9272-4g-data-daijobu-sim-card-kyoto/', '/activity/871-sake-brewery-visit-fushimi-inari-shrine-kyoto/', '/activity/5979-tower-terrace-kyoto/', '/activity/632-kyoto-backstreet-cycling/', '/activity/646-kyoto-afternoon-exploration/', '/activity/640-kyoto-morning-sightseeing/', '/activity/872-arashiyama-bamboo-forest-half-day-tour-kyoto/', '/activity/5272-mukadeya-kyoto/', '/activity/6081-one-night-in-kyoto/', '/activity/2918-sushi-class-experience-kyoto/', '/activity/1032-higashiyama-rickshaw-tour-kyoto/', '/activity/5445-kimono-photo-shoot-kyoto/', '/activity/5215-garden-ryokan-nanzenji-yachiyo-kyoto/', '/activity/882-nishiki-market-teramachi-street-kyoto/', '/activity/7096-japan-prepaid-sim-card-kyoto/'], 3: ['/activity/1079-one-day-kimono-rental-kyoto/', '/activity/1032-higashiyama-rickshaw-tour-kyoto/', '/activity/6128-kyoto-seaside-day-tour-osaka/', '/activity/1540-hankyu-1-day-tourist-pass-osaka/', '/activity/1777-icoca-ic-card-kyoto/', '/activity/1541-kix-airport-limousine-bus-transfer-kyoto/', '/activity/1753-randen-kyoto-bus-subway-1-day-pass-kyoto/', '/activity/3260-sagano-romantic-train-ticket-kyoto/', '/activity/793-japanese-lzakaya-cooking-course-kyoto/', '/activity/882-nishiki-market-teramachi-street-kyoto/', '/activity/792-morning-bento-cooking-course-kyoto/', '/activity/2918-sushi-class-experience-kyoto/', '/activity/6032-ninja-kyoto-restaurant-labyrinth-kyoto/', '/activity/5215-garden-ryokan-nanzenji-yachiyo-kyoto/', '/activity/5271-itoh-dining-kyoto/', '/activity/9094-sagano-sightseeing-carriage-tour-kyoto/', '/activity/8192-japan-sim-card-taiwan-airport-pickup-kyoto/', '/activity/8420-south-korea-wifi-device-kyoto/', '/activity/8644-rock-climbing-at-kyoto-konpirayama-kyoto /', '/activity/9934-3g-4g-wifi-mnl-pick-up-delivery-for-japan-kyoto/', '/activity/8966-donburi-cooking-course-and-nishiki-market-tour-kyoto/', '/activity/9215-arashiyama-kyoto-food-drink-half-day-tour/']}

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Python is a programming language that lets you work quickly and integrate systems more effectively.

how to add a loop to Python script that scrapes a website - python

Related

anyone please guide me how can i do web scarping multiple pages of booking.com -

How can I scrape Songs Title from this request that I have collected using python

How to get just links of articles in list using BeautifulSoup

BeautifulSoup and scraping href's isn't working

How to crawl href - Python & beautifulsoup

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