It is example code to scrape it:
furas.pl#!/usr/bin/env python3
# date: 2019.12.18
# https://stackoverflow.com/questions/59386434/selenium-webdriver-i-want-to-click-on-the-next-page-till-last-page/59387563#59387563
from selenium import webdriver
#from bs4 import BeautifulSoup as bs
import time
url = 'https://curecity.in/vendor-list.php?category=Doctor&filters_location=Jaipur&filters%5Bsubareas_global%5D=&filters_speciality='
#driver …It is example code to scrape it:
#
# https://api.data.gov/
# https://regulationsgov.github.io/developers/basics/
#
# https://stackoverflow.com/a/48030949/1832058
#
import requests
import json
import time
all_titles = ['EPA-HQ-OAR-2013-0602']
api_key = 'PB36zotwgisM02kED1vWwvf7BklqCObDGVoyssVE'
api_base='https://api.data.gov/regulations/v3/'
api_url = '{}docket.json?api_key={}&docketId='.format(api_base, api_key)
try:
for …It is example code to scrape it:
import requests
from bs4 import BeautifulSoup
import json
base_url = 'https://www.deezer.com/en/profile/1589856782/loved'
r = requests.get(base_url)
soup = BeautifulSoup(r.text, 'html.parser')
all_scripts = soup.find_all('script')
data = json.loads(all_scripts[6].get_text()[27:])
print('key:', data.keys())
print …It is example code to scrape it:
#!/usr/bin/env python3
import scrapy
class MySpider(scrapy.Spider):
name = 'myspider'
#allowed_domains = [''link'']
start_urls = ['https://doctor.webmd.com/find-a-doctor/specialty/psychiatry/arizona/phoenix?pagenumber=1']
def parse(self, response):
doctors_urls = (response.xpath('//*[@class="doctorName"]//@href').extract())
for doctor in doctors_urls:
doctor = response …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2019.11.23
# https://stackoverflow.com/questions/59008770/want-to-read-a-tag-data-using-selenium
from selenium import webdriver
driver = webdriver.Firefox()
driver.get('https://dps.psx.com.pk/')
last_table = driver.find_elements_by_xpath("//table")[-1]
for row in last_table.find_elements_by_xpath(".//tr")[1:]:
print(row.find_element_by_xpath …It is example code to scrape it:
#
# https://stackoverflow.com/a/47716786/1832058
#
# https://stackoverflow.com/a/48116666/1832058
#
import requests
from bs4 import BeautifulSoup
def get_details(url):
print('details:', url)
# get subpage
r = requests.get(url)
soup = BeautifulSoup(r.text ,"lxml")
# get data on subpabe
dts = soup.findAll('dt …It is example code to scrape it:
# date: 2019.09.09
# link: https://stackoverflow.com/questions/57856461/python-run-search-function-on-net-web-page
import requests
from bs4 import BeautifulSoup
headers = {'User-Agent': 'Mozilla/5.0'}
r = requests.get('http://www.drugeye.pharorg.com/', headers=headers)
soup = BeautifulSoup(r.text,'lxml')
payload = {
'ttt': 'asd',
'b1': 'wait...',
'Passgenericname …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.01.10
# https://stackoverflow.com/questions/59674049/multiple-pages-web-scraping-with-python-and-beautiful-soup/
import requests
from bs4 import BeautifulSoup # HTML data structure
import pandas as pd
def get_page_data(number):
print('number:', number)
url = 'https://e-turysta.pl/noclegi-krakow/?page={}'.format(number)
response = requests …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.01.10
# https://stackoverflow.com/questions/59674921/how-can-i-scrape-image-url-from-this-website/
import requests
from bs4 import BeautifulSoup as BS
s = requests.Session()
url = 'https://ec.europa.eu/taxation_customs/dds2/ebti/ebti_consultation.jsp?Lang=en&Lang=en&refcountry=&reference=&valstartdate=&valstartdateto …It is example code to scrape it:
#!/usr/bin/env python3
#
# https://stackoverflow.com/a/48067671/1832058
#
from scrapy.http import Request
from scrapy.item import Field, Item
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractor import LinkExtractor
from scrapy.loader import ItemLoader
import json
class Course_spider(CrawlSpider):
name …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.02.26
# https://stackoverflow.com/questions/60405929/python-beautifulsoup-adding-words-from-an-html-paragraph-tag-to-list
import requests
from bs4 import BeautifulSoup
page = requests.get("https://www.ef.edu/english-resources/english-vocabulary/top-1000-words/")
soup = BeautifulSoup(page.content, "html.parser")
para = soup.find(class_="field-item even")
second_p …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.05.18
# https://stackoverflow.com/questions/61876744/scraper-returns-null-result/
import requests
url = 'https://store-site-backend-static.ak.epicgames.com/freeGamesPromotions?locale=en-US&country=PL&allowCountries=PL'
r = requests.get(url)
data = r.json()
#print(r.text)
for item in data …It is example code to scrape it:
Data is in <script> between data: and queue: in JSON format.
You can use standard string functions (ie. find(), slicing) to cut off this part.
And then you can use module json to convert to python dictionary.
And then you have to only …It is example code to scrape it:
import requests
import pandas as pd
url = 'https://site.web.api.espn.com/apis/common/v3/sports/football/nfl/statistics/byathlete?region=us&lang=en&contentorigin=espn&isqualified=false&limit=50&category=offense%3Arushing&sort=rushing.rushingYards%3Adesc&season=2018&seasontype=2&page …It is example code to scrape it:
# date: 2020.03.01
# https://stackoverflow.com/questions/60471569/turning-for-loop-into-multiprocessing-loop/
import requests
import time
def get_data(query):
url = 'https://site.web.api.espn.com/apis/common/v3/search?region=us&lang=en&query={}&limit=5&mode=prefix&type=player'.format(query)
r = requests …It is example code to scrape it:
#
# https://stackoverflow.com/a/47539575/1832058
#
from selenium import webdriver
browser = webdriver.Chrome() #'/usr/local/bin/chromedriver')
browser.get('https://www.facebook.com/SparColruytGroup/app/300001396778554?app_data=DD722A43-C774-FC01-8823-8016BFF8F0D0')
browser.implicitly_wait(5)
iframe = browser.find_element_by_css_selector('#pagelet_app_runner iframe')
browser.switch_to_frame(iframe)
iframe = browser.find_element_by_css_selector('#qualifio_insert_place …It is example code to scrape it:
#!/usr/bin/env python
# date: 2019.09.21
#
from bs4 import BeautifulSoup as BS
import requests
url = 'https://fbref.com/en/matches/033092ef/Northampton-Town-Lincoln-City-August-4-2018-League-Two'
response = requests.get(url)
soup = BS(response.content, 'html.parser')
stats = soup.find('div', id="team_stats")
data = []
for row …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.05.28
#
from selenium import webdriver
from selenium.webdriver.support.ui import Select
import pandas as pd
import time
# --- functions ---
def get_data(start_date, end_date, product):
# select `Variation Report`
driver.find_element_by_id('ctl00_MainContent_Rbl_Rpt_type_1').click()
# select `Daily Variant`
element_variation = driver …It is example code to scrape it:
#!/usr/bin/env python3
# date: 2020.04.19
# https://stackoverflow.com/questions/61298422/extracting-specific-elements-in-a-table-with-selenium-in-python/
import selenium.webdriver
driver = selenium.webdriver.Firefox()
# --- video ---
url = 'https://fileinfo.com/filetypes/video'
driver.get(url)
all_items = driver.find_elements_by_xpath('//td/a')
for item in all_items:
print(item.text …It is example code to scrape it:
from bs4 import BeautifulSoup
import urllib.request as req
url = "https://finance.naver.com/sise/"
res = req.urlopen(url)
soup = BeautifulSoup(res, "html.parser")
rows = soup.select("#contentarea_right #trend_tab_1 tr")
for row in rows:
cols = row.select('td')
print("-", cols[0].text, '|', cols …