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Scraping Data from Table with Multiple Pages

I am trying to scrape data from AGMARKNET website. The tables are split into 11 pages but all of the pages use the same url. I am very new to webscraping (or python in general), but AGMARKNET does not have a public API so scraping the page seems to be my only option. I am currently using BeautifulSoup to parse the HTML code and I am able to scrape the initial table, but that only contains the first 500 data points, but I want the entire 11 page data. I am stuck and frustrated. Link and my current code are below. Any direction would be helpful, thank you .
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https://agmarknet.gov.in/SearchCmmMkt.aspx?Tx_Commodity=17&Tx_State=JK&Tx_District=0&Tx_Market=0&DateFrom=01-Oct-2004&DateTo=18-Oct-2022&Fr_Date=01-Oct-2004&To_Date=18-Oct-2022&Tx_Trend=2&Tx_CommodityHead=Apple&Tx_StateHead=Jammu+and+Kashmir&Tx_DistrictHead=--Select--&Tx_MarketHead=--Select--
import requests
import pandas as pd
url = 'https://agmarknet.gov.in/SearchCmmMkt.aspx?Tx_Commodity=17&Tx_State=JK&Tx_District=0&Tx_Market=0&DateFrom=01-Oct-2004&DateTo=18-Oct-2022&Fr_Date=01-Oct-2004&To_Date=18-Oct-2022&Tx_Trend=2&Tx_CommodityHead=Apple&Tx_StateHead=Jammu+and+Kashmir&Tx_DistrictHead=--Select--&Tx_MarketHead=--Select--'
response = requests.get(url)
# Use BeautifulSoup to parse the HTML code
soup = BeautifulSoup(response.content, 'html.parser')
# changes stat_table from ResultSet to a Tag
stat_table = stat_table[0]
# Convert html table to list
rows = []
for tr in stat_table.find_all('tr')[1:]:
cells = []
tds = tr.find_all('td')
if len(tds) == 0:
ths = tr.find_all('th')
for th in ths:
cells.append(th.text.strip())
else:
for td in tds:
cells.append(td.text.strip())
rows.append(cells)
# convert table to df
table = pd.DataFrame(rows)

The website you linked to seems to be using JavaScript to navigate to the next page. The requests and BeautifulSoup libraries are only for parsing static HTML pages, so they can't run JavaScript.
Instead of using them, you should try something like Selenium that actually simulates a full browser environment (including HTML, CSS, etc.). In fact, Selenium can even open a full browser window so you can see it in action as it navigates!
Here is a quick sample code:
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.firefox.options import Options
# If you prefer Chrome to Firefox, there is a driver available
# for that as well
# Set the URL
url = 'https://agmarknet.gov.in/SearchCmmMkt.aspx?Tx_Commodity=17&Tx_State=JK&Tx_District=0&Tx_Market=0&DateFrom=01-Oct-2004&DateTo=18-Oct-2022&Fr_Date=01-Oct-2004&To_Date=18-Oct-2022&Tx_Trend=2&Tx_CommodityHead=Apple&Tx_StateHead=Jammu+and+Kashmir&Tx_DistrictHead=--Select--&Tx_MarketHead=--Select--'
# Start the browser
opts = Options()
driver = webdriver.Firefox(options=opts)
driver.get(url)
Now you can use functions like driver.find_element(...) and driver.find_elements(...) to extract the data you want from this page, the same way you did with BeautifulSoup.
For your given link, the page number navigators seem to be running a function of the form,
__doPostBack('ctl00$cphBody$GridViewBoth','Page$2')
...replacing Page$2 with Page$3, Page$4, etc. depending on which page you want. So you can use Selenium to run that JavaScript function when you're ready to navigate.
driver.execute_script("__doPostBack('ctl00$cphBody$GridViewBoth','Page$2')")
A more generic solution is to just select which button you want and then run that button's click() function. General example (not necessarily for the current website):
btn = driver.find_element('id', 'next-button')
btn.click()
A final note: after the button is clicked, you might want to time.sleep(...) for a little while to make sure the page is fully loaded before you start processing the next set of data.

Extracting content from webpage using BeautifulSoup

I am working on scrapping numbers from the Powerball website with the code below.
However, numbers keeps coming back empty. Why is this?
import requests
from bs4 import BeautifulSoup
url = 'https://www.powerball.com/games/home'
page = requests.get(url).text
bsPage = BeautifulSoup(page)
numbers = bsPage.find_all("div", class_="field_numbers")
numbers

Can confirm #Teprr is absolutely correct. You'll need to download chrome and add chromedriver.exe to your system path for this to work but the following code gets what you are looking for. You can use other browsers too you just need their respective driver.
from bs4 import BeautifulSoup
from selenium import webdriver
import time
url = 'https://www.powerball.com/games/home'
options = webdriver.ChromeOptions()
options.add_argument('headless')
browser = webdriver.Chrome(options=options)
browser.get(url)
time.sleep(3) # wait three seconds for all the js to happen
html = browser.page_source
soup = BeautifulSoup(html, 'html.parser')
draws = soup.findAll("div", {"class":"number-card"})
print(draws)
for d in draws:
info = d.find("div",{"class":"field_draw_date"}).getText()
balls = d.find("div",{"class":"field_numbers"}).findAll("div",{"class":"numbers-ball"})
numbers = [ball.getText() for ball in balls]
print(info)
print(numbers)

If you download that file and inspect it locally, you can see that there is no <div> with that class. That means that it is likely generated dynamically using javascript by your browser, so you would need to use something like selenium to get the full, generated HTML content.
Anyway, in this specific case, this piece of HTML seems to be the container for the data you are looking for:
<div data-url="/api/v1/numbers/powerball/recent?_format=json" class="recent-winning-numbers"
data-numbers-powerball="Power Play" data-numbers="All Star Bonus">
Now, if you check that custom data-url, you can find the information you want in JSON format.

Extract data from BSE website

How can I extract the value of Security ID, Security Code, Group / Index, Wtd.Avg Price, Trade Date, Quantity Traded, % of Deliverable Quantity to Traded Quantity using Python 3 and save it to an XLS file. Below is the link.
https://www.bseindia.com/stock-share-price/smartlink-network-systems-ltd/smartlink/532419/
PS: I am completely new to the python. I know there are few libs which make scrapping easier like BeautifulSoup, selenium, requests, lxml etc. Don't have much idea about them.
Edit 1:
I tried something
from bs4 import BeautifulSoup
import requests
URL = 'https://www.bseindia.com/stock-share-price/smartlink-network-systems-ltd/smartlink/532419/'
r = requests.get(URL)
soup = BeautifulSoup(r.content, 'html5lib')
table = soup.find('div', attrs = {'id':'newheaddivgrey'})
print(table)
Its output is None. I was expecting all tables in the webpage and filter them further to get required data.
import requests
import lxml.html
URL = 'https://www.bseindia.com/stock-share-price/smartlink-network-systems-ltd/smartlink/532419/'
r = requests.get(URL)
root = lxml.html.fromstring(r.content)
title = root.xpath('//*[#id="SecuritywiseDeliveryPosition"]/table/tbody/tr/td/table/tbody/tr[1]/td')
print(title)
Tried another code. Same problem.
Edit 2:
Tried selenium. But I am not getting the table contents.
from selenium import webdriver
driver = webdriver.Chrome(r"C:\Program Files\JetBrains\PyCharm Community Edition 2017.3.3\bin\chromedriver.exe")
driver.get('https://www.bseindia.com/stock-share-price/smartlink-network-systems-ltd/smartlink/532419/')
table=driver.find_elements_by_xpath('//*[#id="SecuritywiseDeliveryPosition"]/table/tbody/tr/td/table/tbody/tr[1]/td')
print(table)
driver.quit()
Output is [<selenium.webdriver.remote.webelement.WebElement (session="befdd4f01e6152942c9cfc7c563a6bf2", element="0.13124528538297953-1")>]

After loading the page with Selenium, you can get the Javascript modified page source using driver.page_source. You can then pass this page source in the BeautifulSoup object.
driver = webdriver.Chrome()
driver.get('https://www.bseindia.com/stock-share-price/smartlink-network-systems-ltd/smartlink/532419/')
html = driver.page_source
driver.quit()
soup = BeautifulSoup(html, 'lxml')
table = soup.find('div', id='SecuritywiseDeliveryPosition')
This code will give you the Securitywise Delivery Position table in the table variable. You can then parse this BeautifulSoup object to get the different values you want.
The soup object contains the full page source including the elements that were dynamically added. Now, you can parse this to get all the things you mentioned.

Web Scraping Python (BeautifulSoup,Requests)

I am learning web scraping using python but I can't get the desired result. Below is my code and the output
code
import bs4,requests
url = "https://twitter.com/24x7chess"
r = requests.get(url)
soup = bs4.BeautifulSoup(r.text,"html.parser")
soup.find_all("span",{"class":"account-group-inner"})
[]
Here is what I was trying to scrape
https://i.stack.imgur.com/tHo5S.png
I keep on getting an empty array. Please Help.

Sites like Twitter load the content dynamically, which sometimes depends upon the browser you are using etc. And due to dynamic loading there could be some elements in the webpage which are lazily loaded, which means that the DOM is inflated dynamically, depending upon the user actions, The tag you are inspecting in your browser Inspect element, is inspected the fully dynamically inflated HTML, But the response you are getting using requests, is inflated HTML, or a simple DOM waiting to load the elements dynamically on the user actions which in your case while fetching from requests module is None.
I would suggest you to use selenium webdriver for scraping dynamic javascript web pages.

Try this. It will give you the items you probably look for. Selenium with BeautifulSoup is easy to handle. I've written it that way. Here it is.
from bs4 import BeautifulSoup
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://twitter.com/24x7chess")
soup = BeautifulSoup(driver.page_source,"lxml")
driver.quit()
for title in soup.select("#page-container"):
name = title.select(".ProfileHeaderCard-nameLink")[0].text.strip()
location = title.select(".ProfileHeaderCard-locationText")[0].text.strip()
tweets = title.select(".ProfileNav-value")[0].text.strip()
following = title.select(".ProfileNav-value")[1].text.strip()
followers = title.select(".ProfileNav-value")[2].text.strip()
likes = title.select(".ProfileNav-value")[3].text.strip()
print(name,location,tweets,following,followers,likes)
Output:
akul chhillar New Delhi, India 214 44 17 5

You could have done the whole thing with requests rather than selenium
import requests
from bs4 import BeautifulSoup as bs
import re
r = requests.get('https://twitter.com/24x7chess')
soup = bs(r.content, 'lxml')
bio = re.sub(r'\n+',' ', soup.select_one('[name=description]')['content'])
stats_headers = ['Tweets', 'Following', 'Followers', 'Likes']
stats = [item['data-count'] for item in soup.select('[data-count]')]
data = dict(zip(stats_headers, stats))
print(bio, data)

Trouble Scraping site with BS4

usually I'm able to write a script that works for scraping, but I've been having some difficulty scraping this site for the table enlisted for this research project I'm working on. I'm planning to verify the script working on one State before entering the URL of my targeted states.
import requests
import bs4 as bs
url = ("http://programs.dsireusa.org/system/program/detail/284")
dsire_get = requests.get(url)
soup = bs.BeautifulSoup(dsire_get.text,'lxml')
table = soup.findAll('div', {'data-ng-controller': 'DetailsPageCtrl'})
print(table)
#I'm printing "Table" just to ensure that the table information I'm looking for is within this sections
I'm not sure if the site is attempting to block people from scraping, but all the info that I'm looking to grab is within "&quot"if you look what Table outputs.

The text is rendered with JavaScript.
First render the page with dryscrape
(If you don't want to use dryscrape see Web-scraping JavaScript page with Python )
Then the text can be extracted, after it has been rendered, from a different position on the page i.e the place it has been rendered to.
As an example this code will extract HTML from the summary.
import bs4 as bs
import dryscrape
url = ("http://programs.dsireusa.org/system/program/detail/284")
session = dryscrape.Session()
session.visit(url)
dsire_get = session.body()
soup = bs.BeautifulSoup(dsire_get,'html.parser')
table = soup.findAll('div', {'class': 'programSummary ng-binding'})
print(table[0])
Outputs:
<div class="programSummary ng-binding" data-ng-bind-html="program.summary"><p>
<strong>Eligibility and Availability</strong></p>
<p>
Net metering is available to all "qualifying facilities" (QFs), as defined by the federal <i>Public Utility Regulatory Policies Act of 1978</i> (PURPA), which pertains to renewable energy systems and combined heat and power systems up to 80 megawatts (MW) in capacity. There is no statewide cap on the aggregate capacity of net-metered systems.</p>
<p>
All utilities subject to Public ...

So I finally managed to solve the issue, and successfuly grab the data from the Javascript page the code as follows worked for me if anyone encounters a same issue when trying to use python to scrape a javascript webpage using windows (dryscrape incompatible).
import bs4 as bs
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import Keys
browser = webdriver.Chrome()
url = ("http://programs.dsireusa.org/system/program/detail/284")
browser.get(url)
html_source = browser.page_source
browser.quit()
soup = bs.BeautifulSoup(html_source, "html.parser")
table = soup.find('div', {'class': 'programOverview'})
data = []
for n in table.findAll("div", {"class": "ng-binding"}):
trip = str(n.text)
data.append(trip)