[FIXED] How to overcome AttributeError while attempting to grab iframe table data from a website in python

Issue

I am trying to grab table data and found out that its dynamic and from an iframe. My snippet does not work. Any idea of help will be very useful.

from selenium import webdriver
import requests
from bs4 import BeautifulSoup

browser = webdriver.Chrome('C://Python38/chromedriver')
browser.get("https://poocoin.app/rugcheck/0xe56842ed550ff2794f010738554db45e60730371/top-holders")
url = "https://poocoin.app/rugcheck/0xe56842ed550ff2794f010738554db45e60730371/top-holders"

r = requests.get(url)
soup = BeautifulSoup(r.text, 'lxml')
t = soup.find('table', class_='table table-bordered table-condensed text-small')
trs = t.find('tbody').find_all('tr')
for tr in trs[:10]:
    print(list(tr.stripped_strings))
browser.quit()

Current Output/Error:

Traceback (most recent call last):
File "C:/Users/Acer/poocoin.py", line 8, in <module>
trs = t.find('tbody').find_all('tr')
AttributeError: 'NoneType' object has no attribute 'find'

Solution

The webpage is dynamic but the table is not a part of any <iframe>. The table is a part of the current webpage.

Here I have tried to extract the data from the table you need.

import requests
from bs4 import BeautifulSoup
import time
from selenium import webdriver

driver = webdriver.Chrome('chromedriver.exe')
url = 'https://poocoin.app/rugcheck/0xe56842ed550ff2794f010738554db45e60730371/top-holders'
driver.get(url)

time.sleep(8)
soup = BeautifulSoup(driver.page_source, 'lxml')
t = soup.find('table', class_='table table-bordered table-condensed text-small')

# Get all the rows from the table
trs = t.find_all('tr')
for tr in trs:
    print(list(tr.stripped_strings))

['Address', 'Track Wallet', 'Type', 'Amount', 'Transfer Count', 'Current Balance']
['0xe432afb7283a08be24e9038c30ca6336a7cc8218', 'Contract', '2,047,063,909.1119', '14488', '74,050,430.9257']
['0xa36b9dc17e421d86ddf8e490dafa87344e76125b', 'Track', 'Wallet', '1,000,000,000.0000', '1', '49,463,154.0462']
['0x0eb207b525dc856c3bad5bfd7a7a4aae781e1757', 'Contract', '800,000,000.0000', '1', '3,620,000.0000']
['0xeaed594b5926a7d5fbbc61985390baaf936a6b8d', 'Contract', '150,526,843.9538', '1', '150,000,000.0000']
['0xe56842ed550ff2794f010738554db45e60730371', 'Contract', '148,413,174.7757', '14495', '9,165,152.5432']
['0xbbda05ea467ad348212dade5c38c11910c14e83e', 'Track', 'Wallet', '65,442,888.2752', '2093', '61,246,203.1985']
['0x537d90d1d2743f44b65612c9fff3b6f011f65471', 'Track', 'Wallet', '42,871,267.9652', '1', '3,919,432.0622']
['0x2def4d262bc8d7456c8d59138760c992283abf80', 'Track', 'Wallet', '42,411,193.5197', '1', '0.0000']
['0xab2feac90728c278b30c6597760d74eb57b3726f', 'Track', 'Wallet', '42,411,193.5197', '1', '0.0000']
['0xc1e16013a158d57a60d6aa5bb3108722b0ac6df5', 'Contract', '27,101,254.6006', '18', '0.0000']
['0xcfdb8569fb546a010bb22b5057679c4053d4a231', 'Track', 'Wallet', '26,328,593.9564', '7', '11,493,129.6564']
['0x000159831a681a63b01911b9c162fbb8949976ba', 'Contract', '23,385,665.4517', '1', '0.4517']
['0x8f3e8ab6cc8b3d565564256cce95ba9f213c2a0d', 'Track', 'Wallet', '21,880,000.0000', '21', '0.0000']
['0xc590175e458b83680867afd273527ff58f74c02b', 'Contract', '20,386,615.2880', '173', '0.0000']
['0xdb6f1920a889355780af7570773609bd8cb1f498', 'Contract', '19,065,071.3715', '2', '0.0000']
['0x112ac5463b46ba4f32b95ae733f73c6e23bd3e53', 'Track', 'Wallet', '17,982,140.3274', '7', '0.0074']
['0xa8b398896d67cea6d26fc140e056f745261c4b00', 'Track', 'Wallet', '17,933,245.4310', '21', '9,024,167.7594']
['0x2368b6acc957339cf34a08a064830fcdfcac02c6', 'Track', 'Wallet', '17,675,714.5003', '1', '8.5003']
['0x7cacd11be7d7c95c48a0477875d31040ddaff2da', 'Track', 'Wallet', '17,467,065.9791', '1', '0.0000']
['0xc62184ac04a0610147bd890ba32d1918b67e017c', 'Track', 'Wallet', '16,841,462.6819', '1', '2.6819']

Answered By - Ram

Answer Checked By - Mary Flores (PHPFixing Volunteer)