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Scraping data for Company details

I am trying to scrape Company name, Postcode, phone number and web address from:
https://www.matki.co.uk/matki-dealers/ Finding it difficult as the information is only retrieved upon clicking the region on the page. If anyone could help it would be much appreciated. Very new to both Python and especially scraping!
!pip install beautifulsoup4
!pip install urllib3
from bs4 import BeautifulSoup
from urllib.request import urlopen
url = "https://www.matki.co.uk/matki-dealers/"
page = urlopen(url)
html = page.read().decode("utf-8")
soup = BeautifulSoup(html, "html.parser")

I guess this is what you wanted to do: (you can put the result after in a file or a database, or even parse it and use it directly)
import requests
from bs4 import BeautifulSoup
URL = "https://www.matki.co.uk/matki-dealers/"
page = requests.get(URL)
# parse HTML
soup = BeautifulSoup(page.content, "html.parser")
# extract the HTML results
results = soup.find(class_="dealer-region")
company_elements = results.find_all("article")
# Loop through the results and extract the wanted informations
for company_element in company_elements:
# some cleanup before printing the info:
company_info = company_element.getText(separator=u', ').replace('Find out more »', '')
# the results ..
print(company_info)
Output:
ESP Bathrooms & Interiors, Queens Retail Park, Queens Street, Preston, PR1 4HZ, 01772 200400, www.espbathrooms.co.uk
Paul Scarr & Son Ltd, Supreme Centre, Haws Hill, Lancaster Road A6, Carnforth, LA5 9DG, 01524 733788,
Stonebridge Interiors, 19 Main Street, Ponteland, NE20 9NH, 01661 520251, www.stonebridgeinteriors.com
Bathe Distinctive Bathrooms, 55 Pottery Road, Wigan, WN3 5AA, www.bathe-showroom.co.uk
Draw A Bath Ltd, 68 Telegraph Road, Heswall, Wirral, CH60 7SG, 0151 342 7100, www.drawabath.co.uk
Acaelia Home Design, Unit 4 Fence Avenue Industrial Estate, Macclesfield, Cheshire, SK10 1LT, 01625 464955, www.acaeliahomedesign.co.uk
...

How to open scraped links one by one automatically using Python?

So here is my situation: Let's say you search on eBay for "Motorola DynaTAC 8000x". The bot that I build is going to scrape all the links of the listings. My goal is now, to make it open those scraped links one by one.
I think something like that would be possible with using loops, but I am not sure on how to do it. Thanks in advance!
Here is the code of the bot:
import requests
from bs4 import BeautifulSoup
url = "https://www.ebay.com/sch/i.html?_from=R40&_trksid=p2380057.m570.l1313&_nkw=Motorola+DynaTAC+8000x&_sacat=0"
r = requests.get(url)
soup = BeautifulSoup(r.content, features="lxml")
listings = soup.select("li a")
for a in listings:
link = a["href"]
if link.startswith("https://www.ebay.com/itm/"):
print(link)

To get information from the link you can do:
import requests
from bs4 import BeautifulSoup
url = "https://www.ebay.com/sch/i.html?_from=R40&_trksid=p2380057.m570.l1313&_nkw=Motorola+DynaTAC+8000x&_sacat=0"
r = requests.get(url)
soup = BeautifulSoup(r.content, features="lxml")
listings = soup.select("li a")
for a in listings:
link = a["href"]
if link.startswith("https://www.ebay.com/itm/"):
s = BeautifulSoup(requests.get(link).content, "lxml")
price = s.select_one('[itemprop="price"]')
print(s.h1.text)
print(price.text if price else "-")
print(link)
print("-" * 80)
Prints:
...
Details about  MOTOROLA DYNATAC 8100L- BRICK CELL PHONE VINTAGE RETRO RARE MUSEUM 8000X
GBP 555.00
https://www.ebay.com/itm/393245721991?hash=item5b8f458587:g:c7wAAOSw4YdgdvBt
--------------------------------------------------------------------------------
Details about  MOTOROLA DYNATAC 8100L- BRICK CELL PHONE VINTAGE RETRO RARE MUSEUM 8000X
GBP 555.00
https://www.ebay.com/itm/393245721991?hash=item5b8f458587:g:c7wAAOSw4YdgdvBt
--------------------------------------------------------------------------------
Details about  Vintage Pulsar Extra Thick Brick Cell Phone Has Dynatac 8000X Display
US $3,000.00
https://www.ebay.com/itm/163814682288?hash=item26241daeb0:g:sTcAAOSw6QJdUQOX
--------------------------------------------------------------------------------
...

Recursive Web Scraping Pagination

I'm trying to scrape some real estate articles from the following website:
Link
I manage to get the links I need,but I am struggling with pagination on the web page.I'm trying to scrape every link under each category 'building relationships', 'building your team', 'capital rising' etc.Some of these categories pages have pagination and some of them do not contain pagination.I tried with the following code but it just gives me the links from 2 page.
from requests_html import HTMLSession
def tag_words_links(url):
global _session
_request = _session.get(url)
tags = _request.html.find('a.tag-cloud-link')
links = []
for link in tags:
links.append({
'Tags': link.find('a', first=True).text,
'Links': link.find('a', first=True).attrs['href']
})
return links
def parse_tag_links(link):
global _session
_request = _session.get(link)
articles = []
try:
next_page = _request.html.find('link[rel="next"]', first=True).attrs['href']
_request = _session.get(next_page)
article_links = _request.html.find('h3 a')
for article in article_links:
articles.append(article.find('a', first=True).attrs['href'])
except:
_request = _session.get(link)
article_links = _request.html.find('h3 a')
for article in article_links:
articles.append(article.find('a', first=True).attrs['href'])
return articles
if __name__ == '__main__':
_session = HTMLSession()
url = 'https://lifebridgecapital.com/podcast/'
links = tag_words_links(url)
print(parse_tag_links('https://lifebridgecapital.com/tag/multifamily/'))

To print title of every article under each tag and each page under the tag you can use this example:
import requests
from bs4 import BeautifulSoup
url = "https://lifebridgecapital.com/podcast/"
soup = BeautifulSoup(requests.get(url).content, "html.parser")
tag_links = [a["href"] for a in soup.select(".tagcloud a")]
for link in tag_links:
while True:
print(link)
print("-" * 80)
soup = BeautifulSoup(requests.get(link).content, "html.parser")
for title in soup.select("h3 a"):
print(title.text)
print()
next_link = soup.select_one("a.next")
if not next_link:
break
link = next_link["href"]
Prints:
...
https://lifebridgecapital.com/tag/multifamily/
--------------------------------------------------------------------------------
WS890: Successful Asset Classes In The Current Market with Jerome Maldonado
WS889: How To Avoid A $1,000,000 Mistake with Hugh Odom
WS888: Value-Based On BRRRR VS Cap Rate with John Stoeber
WS887: Slow And Steady Still Wins The Race with Nicole Pendergrass
WS287: Increase Your NOI by Converting Units to Short Term Rentals with Michael Sjogren
WS271: Investment Strategies To Survive An Economic Downturn with Vinney Chopra
WS270: Owning a Construction Company Creates More Value with Abraham Ng’hwani
WS269: The Impacts of Your First Deal with Kyle Mitchell
WS260: Structuring Deals To Get The Best Return On Investment with Jeff Greenberg
WS259: Capital Raising For Newbies with Bryan Taylor
https://lifebridgecapital.com/tag/multifamily/page/2/
--------------------------------------------------------------------------------
WS257: Why Ground Up Development is the Best Investment with Sam Bates
WS256: Mobile Home Park Investing: The Real Deal with Jefferson Lilly
WS249: Managing Real Estate Paperwork Successfully with Krista Testani
WS245: Multifamily Syndication with Venkat Avasarala
WS244: Passive Investing In Real Estate with Kay Kay Singh
WS243: Getting Started In Real Estate Brokerage with Tyler Chesser
WS213: Data Analytics In Real Estate with Raj Tekchandani
WS202: Ben Leybovich and Sam Grooms on The Advantages Of A Partnership In Real Estate Business
WS199: Financial Freedom Through Real Estate Investing with Rodney Miller
WS197: Loan Qualifications: How The Whole Process Works with Vinney Chopra
https://lifebridgecapital.com/tag/multifamily/page/3/
--------------------------------------------------------------------------------
WS172: Real Estate Syndication with Kyle Jones
...

Extracting title from link in Python (Beautiful soup)

I am new to Python and I'm looking to extract the title from a link. So far I have the following but have hit a dead end:
import requests
from bs4 import BeautifulSoup
page = requests.get("http://books.toscrape.com/")
soup = BeautifulSoup(page.content, 'html.parser')
books = soup.find("section")
book_list = books.find_all(class_="product_pod")
tonight = book_list[0]
for book in book_list:
price = book.find(class_="price_color").get_text()
title = book.find('a')
print (price)
print (title.contents[0])

To extract title from links, you can use title attribute.
Fore example:
import requests
from bs4 import BeautifulSoup
page = requests.get("http://books.toscrape.com/")
soup = BeautifulSoup(page.content, 'html.parser')
for a in soup.select('h3 > a'):
print(a['title'])
Prints:
A Light in the Attic
Tipping the Velvet
Soumission
Sharp Objects
Sapiens: A Brief History of Humankind
The Requiem Red
The Dirty Little Secrets of Getting Your Dream Job
The Coming Woman: A Novel Based on the Life of the Infamous Feminist, Victoria Woodhull
The Boys in the Boat: Nine Americans and Their Epic Quest for Gold at the 1936 Berlin Olympics
The Black Maria
Starving Hearts (Triangular Trade Trilogy, #1)
Shakespeare's Sonnets
Set Me Free
Scott Pilgrim's Precious Little Life (Scott Pilgrim #1)
Rip it Up and Start Again
Our Band Could Be Your Life: Scenes from the American Indie Underground, 1981-1991
Olio
Mesaerion: The Best Science Fiction Stories 1800-1849
Libertarianism for Beginners
It's Only the Himalayas

you can use it:
import requests
from bs4 import BeautifulSoup
page = requests.get("http://books.toscrape.com/")
soup = BeautifulSoup(page.content, 'html.parser')
books = soup.find("section")
book_list = books.find_all(class_="product_pod")
tonight = book_list[0]
for book in book_list:
price = book.find(class_="price_color").get_text()
title = book.select_one('a img')['alt']
print (title)
Output:
A Light in the Attic
Tipping the Velvet
Soumission
Sharp Objects
Sapiens: A Brief History of Humankind
The Requiem Red...

By just modifying your existing code you can use the alt text which contains the book titles in your example.
print (title.contents[0].attrs["alt"])

how do i get the next tag

I am trying to get the headlines that are in between a class. the headlines are wrapped around the h2 tag. headlines come after the tag.
from bs4 import BeautifulSoup
import requests
r = requests.get("https://www.dailypost.ng/hot-news")
soup = BeautifulSoup(r.content, "html.parser")
mydivs = soup.findAll("span", {"class": "mvp-cd-date left relative"})
mytags = mydivs.findNext('h2')
for tag in mytags:
print(tag.text.strip())

You must iterate through mydivs to use findNext()
mydivs is a list of web elements. findNextonly applies to a single web element. You must iterate through the divs and run findNext on each of them.
Just add this line
for div in mydivs:
and put it before
mytags = div.findNext('h2')
Here is the full code for your working program:
from bs4 import BeautifulSoup
import requests
r = requests.get("https://www.dailypost.ng/hot-news")
soup = BeautifulSoup(r.content, "html.parser")
mydivs = soup.findAll("span", {"class": "mvp-cd-date left relative"})
for div in mydivs:
mytags = div.findNext('h2')
for tag in mytags:
print(tag.strip())

Try replacing the last 3 lines with:
for div in mydivs:
mytags = div.findNext('h2')
for tag in mytags:
print(tag.strip())

soup.findAll() returns a list (or None), so you cannot call findNext() on it. However, you can iterate the tags and call find_next() on each tag separately:
import requests
from bs4 import BeautifulSoup
r = requests.get("https://www.dailypost.ng/hot-news")
soup = BeautifulSoup(r.content, "html.parser")
mydivs = soup.findAll("span", {"class": "mvp-cd-date left relative"})
for tag in mydivs:
print(tag.find_next('h2').get_text(strip=True))
Prints:
BREAKING: Another federal lawmaker dies in Dubai hospital
Cross-Over Night: Enugu Govt bans burning of tyres on roads
Dadiyata: DSS breaks silence as Nigerian govt critic remains missing
CAC: Nigerian govt appoints new Acting Registrar-General
What Buhari told me – Dabiri-Erewa
What soldiers should expect in 2020 – Buratai
Only earthquake can erase Amosun’s legacies in Ogun – Akinlade
Civil War: Militia leader sentenced to 20yrs in prison
2020: Prophet Omale releases prophecies on Buhari, Aisha, Kyari, govs, coup plot
BREAKING: EFCC arrests Shehu Sani
Armed Forces Day: Yobe Governor Buni, donates N40 million for emblem appeal fund
Zamfara govt bans illegal gathering in the state
Agbenu Kacholalo: Colours of culture at Idoma International Carnival 2019 [PHOTOS]
Men of God are too fearful, weak to challenge government activities
2020: Peter Obi sends message to Nigerians
TETFUND: EFCC, ICPC asked to probe agency over alleged corruption
Two inmates regain freedom from Uyo prison
Buhari meets President of AfDB, Adeshina at Aso Rock
New Kogi CP resumes office, promises crime free state
Nothing stops you from paying N30,000 minimum wage to workers – APC challenges Makinde
EDIT: This script will scrape headlines from several pages:
import requests
from bs4 import BeautifulSoup
url = 'https://dailypost.ng/hot-news/page/{}/'
for page in range(1, 5): # <-- change how many pages do you want
print('Page no.{}'.format(page))
soup = BeautifulSoup(requests.get(url.format(page)).content, "html.parser")
mydivs = soup.findAll("span", {"class": "mvp-cd-date left relative"})
for tag in mydivs:
print(tag.find_next('h2').get_text(strip=True))
print('-' * 80)