Wsrtjtyk

I try to use python3 and BeautifulSoup.

import requests

import json

from bs4 import BeautifulSoup



url = "https://www.binance.com/pl"



#get the data

data = requests.get(url);



soup = BeautifulSoup(data.text,'lxml')



print(soup)

If I open the html code (in browser) I can see:
html code in browser

But in my data (printing in console) i cant see btc price:
what data i cant see in console

Could u give me some advice how to scrap this data?

Use .findAll() to find all the rows, and then you can use it to find all the cells in a given row. You have to look at how the page is structured. It's not a standard row, but a bunch of divs made to look like a table. So you have to look at the role of each div to get to the data you want.

I'm assuming that you're going to want to look at specific rows, so my example uses the Para column to find those rows. Since the star is in it's own little cell, the Para column is the second cell, or index of 1. With that, it's just a question of which cells you want to export.

You could take out the filter if you want to get everything. You can also modify it to see if the value of a cell is above a certain price point.

# Import necessary libraries

import requests

from bs4 import BeautifulSoup

# Ignore the insecure warning

from requests.packages.urllib3.exceptions import InsecureRequestWarning

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)



# Set options and which rows you want to look at

url = "https://www.binance.com/pl"

desired_rows = ['ADA/BTC', 'ADX/BTC']



# Get the page and convert it into beautiful soup

response = requests.get(url, verify=False)

soup = BeautifulSoup(response.text, 'html.parser')



# Find all table rows

rows = soup.findAll('div', {'role':'row'})



# Process all the rows in the table

for row in rows:

    try:

        # Get the cells for the given row

        cells = row.findAll('div', {'role':'gridcell'})

        # Convert them to just the values of the cell, ignoring attributes

        cell_values = [c.text for c in cells]



        # see if the row is one you want

        if cell_values[1] in desired_rows:

            # Output the data however you'd like

            print(cell_values[1], cell_values[-1])



    except IndexError: # there was a row without cells

        pass

This resulted in the following output:

ADA/BTC 1,646.39204255

ADX/BTC 35.29384873