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October 13, 2022 23:49
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Python (Selenium) bot for downloading Google's captcha (after too many queries will raise a captcha image). Images set would be a great training (machine learning) for recognizing characters.
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#! /usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import os | |
import sys | |
from selenium import webdriver | |
from selenium.webdriver.common.by import By | |
from selenium.webdriver.common.keys import Keys | |
from selenium.webdriver.support import expected_conditions as EC | |
from selenium.webdriver.support.ui import WebDriverWait | |
captchas_path = "./captchas/" | |
captcha_key = "some_value" | |
if not os.path.isdir(captchas_path): | |
os.makedirs(captchas_path) | |
# open TXT files with \n separated values to be sent to google | |
with open(sys.argv[1], "r") as input_file: | |
keys = [str(x).strip() for x in input_file] | |
def tesseract(captcha_image): | |
try: | |
print("Running tesseract operation on --> {}".format(captcha_image)) | |
subprocess.call(['tesseract', captcha_image, 'output', '-psm', '8']) | |
file_name = os.path.join(captcha_image.split('.')[0]) | |
with open(file_name + '.txt', 'w') as file: | |
global captcha_value | |
value_lines = file.read().replace(" ", "").split('\n') | |
captcha_value = value_lines[0] | |
print('Captcha for this image file is --> {}'.format(captcha_value)) | |
except Exception as e: | |
print(e) | |
def captcha_black(): | |
listdir = os.listdir("./captchas/") | |
for photo in listdir: | |
if photo.endswith(".png"): | |
img = Image.open("./captchas/" + photo) | |
img = img.convert("RGBA") | |
pixdata = img.load() | |
for y in range(img.size[1]): | |
for x in range(img.size[0]): | |
if pixdata[x, y][0] < 90: | |
pixdata[x, y] = (0, 0, 0, 255) | |
for y in range(img.size[1]): | |
for x in range(img.size[0]): | |
if pixdata[x, y][1] < 136: | |
pixdata[x, y] = (0, 0, 0, 255) | |
for y in range(img.size[1]): | |
for x in range(img.size[0]): | |
if pixdata[x, y][2] > 0: | |
pixdata[x, y] = (255, 255, 255, 255) | |
black_captcha = "./captchas/{}-black.gif".format(photo) | |
img.save(black_captcha, "GIF") | |
im_orig = Image.open(black_captcha) | |
big = im_orig.resize((1000, 500), Image.BILINEAR) | |
ext = ".tif" | |
big.save("./captchas/{}-black-tiff".format(photo) + ext) | |
def get_captcha(driver, img, captcha_number): | |
img_captcha_base64 = driver.execute_async_script( | |
""" | |
var ele = arguments[0], callback = arguments[1]; | |
ele.addEventListener('load', function fn(){ | |
ele.removeEventListener('load', fn, false); | |
var cnv = document.createElement('canvas'); | |
cnv.width = this.width; cnv.height = this.height; | |
cnv.getContext('2d').drawImage(this, 0, 0); | |
callback(cnv.toDataURL('image/png').substring(22)); | |
}, false); ele.dispatchEvent(new Event('load')); | |
""", img | |
) | |
with open(r"./captchas/captcha-{}.png".format(captcha_number), 'wb') as f: | |
f.write(base64.b64decode(img_captcha_base64)) | |
def main(): | |
driver = webdriver.Chrome() | |
captcha_number = 0 | |
driver.get("http://www.google.com/") | |
driver.maximize_window() | |
driver.implicitly_wait(10) | |
driver.set_page_load_timeout(10) | |
for keyword in keys: | |
captcha_number += 1 | |
WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.NAME, "q"))).send_keys(keyword, Keys.ENTER) | |
try: | |
# if captcha | |
img = WebDriverWait(driver, 1.5).until(EC.presence_of_element_located((By.XPATH, "/html/body/div/img"))) | |
if img: | |
while True: | |
get_captcha(driver, img, captcha_number) | |
WebDriverWait(driver, 1.5).until(EC.presence_of_element_located((By.NAME, "captcha"))).send_keys(captcha_key) | |
WebDriverWait(driver, 1.5).until(EC.presence_of_element_located((By.NAME, "submit"))).click() | |
else: | |
continue | |
except: | |
WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.NAME, "q"))).clear() | |
driver.quit() | |
main() |
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