Python爬蟲selenium驗(yàn)證之中文識(shí)別點(diǎn)選+圖片驗(yàn)證碼案例(最新推薦)

更新時(shí)間：2025年02月25日 11:47:03 作者：dme.

本文介紹了如何使用Python和Selenium結(jié)合ddddocr庫實(shí)現(xiàn)圖片驗(yàn)證碼的識(shí)別和點(diǎn)擊功能,感興趣的朋友一起看看吧

1.獲取圖片

import re
import time
import ddddocr
import requests
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver import ActionChains
service = Service("driver/chromedriver.exe")
driver = webdriver.Chrome(service=service)
# 1.打開首頁
driver.get('https://www.geetest.com/adaptive-captcha-demo')
# 2.點(diǎn)擊【文字點(diǎn)選驗(yàn)證】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[4]'
))
tag.click()
# 3.點(diǎn)擊開始驗(yàn)證
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click'
))
tag.click()
time.sleep(5)
# 要識(shí)別的目標(biāo)圖片
target_tag = driver.find_element(
    By.CLASS_NAME,
    'geetest_ques_back'
)
target_tag.screenshot("target.png")
# 識(shí)別圖片
bg_tag = driver.find_element(
    By.CLASS_NAME,
    'geetest_bg'
)
bg_tag.screenshot("bg.png")
time.sleep(2000)
driver.close()

2.目標(biāo)識(shí)別

截圖每個(gè)字符，并基于ddddocr識(shí)別。

import re
import time
import ddddocr
import requests
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver import ActionChains
service = Service("driver/chromedriver.exe")
driver = webdriver.Chrome(service=service)
# 1.打開首頁
driver.get('https://www.geetest.com/adaptive-captcha-demo')
# 2.點(diǎn)擊【滑動(dòng)拼圖驗(yàn)證】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[4]'
))
tag.click()
# 3.點(diǎn)擊開始驗(yàn)證
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click'
))
tag.click()
# 4.等待驗(yàn)證碼出來
time.sleep(5)
# 5.識(shí)別任務(wù)圖片
target_word_list = []
parent = driver.find_element(By.CLASS_NAME, 'geetest_ques_back')
tag_list = parent.find_elements(By.TAG_NAME, "img")
for tag in tag_list:
    ocr = ddddocr.DdddOcr(show_ad=False)
    word = ocr.classification(tag.screenshot_as_png)
    target_word_list.append(word)
print("要識(shí)別的文字：", target_word_list)
time.sleep(2000)
driver.close()

3.背景坐標(biāo)識(shí)別

3.1 ddddocr

能識(shí)別，但是發(fā)現(xiàn)默認(rèn)識(shí)別率有點(diǎn)低，想要提升識(shí)別率，可以搭建Pytorch環(huán)境對(duì)模型進(jìn)行訓(xùn)練，參考：https://github.com/sml2h3/dddd_trainer

import re
import time
import ddddocr
import requests
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver import ActionChains
from PIL import Image, ImageDraw
from io import BytesIO
service = Service("driver/chromedriver.exe")
driver = webdriver.Chrome(service=service)
# 1.打開首頁
driver.get('https://www.geetest.com/adaptive-captcha-demo')
# 2.點(diǎn)擊【滑動(dòng)拼圖驗(yàn)證】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[4]'
))
tag.click()
# 3.點(diǎn)擊開始驗(yàn)證
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click'
))
tag.click()
# 4.等待驗(yàn)證碼出來
time.sleep(5)
# 5.識(shí)別任務(wù)圖片
target_word_list = []
parent = driver.find_element(By.CLASS_NAME, 'geetest_ques_back')
tag_list = parent.find_elements(By.TAG_NAME, "img")
for tag in tag_list:
    ocr = ddddocr.DdddOcr(show_ad=False)
    word = ocr.classification(tag.screenshot_as_png)
    target_word_list.append(word)
print("要識(shí)別的文字：", target_word_list)
# 6.背景圖片
bg_tag = driver.find_element(
    By.CLASS_NAME,
    'geetest_bg'
)
content = bg_tag.screenshot_as_png
# 7.識(shí)別背景中的所有文字并獲取坐標(biāo)
ocr = ddddocr.DdddOcr(show_ad=False, det=True)
poses = ocr.detection(content) # [(x1, y1, x2, y2), (x1, y1, x2, y2), x1, y1, x2, y2]
# 8.循環(huán)坐標(biāo)中的每個(gè)文字并識(shí)別
bg_word_dict = {}
img = Image.open(BytesIO(content))
for box in poses:
    x1, y1, x2, y2 = box
    # 根據(jù)坐標(biāo)獲取每個(gè)文字的圖片
    corp = img.crop(box)
    img_byte = BytesIO()
    corp.save(img_byte, 'png')
    # 識(shí)別文字
    ocr2 = ddddocr.DdddOcr(show_ad=False)
    word = ocr2.classification(img_byte.getvalue())  # 識(shí)別率低
    # 獲取每個(gè)字的坐標(biāo)  {"鴨":}
    bg_word_dict[word] = [int((x1 + x2) / 2), int((y1 + y2) / 2)]
print(bg_word_dict)
time.sleep(1000)
driver.close()

3.2 打碼平臺(tái)

https://www.chaojiying.com/

import base64
import requests
from hashlib import md5
file_bytes = open('5.jpg', 'rb').read()
res = requests.post(
    url='http://upload.chaojiying.net/Upload/Processing.php',
    data={
        'user': "deng",
        'pass2': md5("密碼".encode('utf-8')).hexdigest(),
        'codetype': "9501",
        'file_base64': base64.b64encode(file_bytes)
    },
    headers={
        'Connection': 'Keep-Alive',
        'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
    }
)
res_dict = res.json()
print(res_dict)
# {'err_no': 0, 'err_str': 'OK', 'pic_id': '1234612060701120002', 'pic_str': '的,86,73|粉,111,38|菜,40,49|香,198,101', 'md5': 'faac71fc832b2ead01ffb4e813f3be60'}

結(jié)合極驗(yàn)案例截圖+識(shí)別：

import re
import time
import ddddocr
import requests
import base64
import requests
from hashlib import md5
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver import ActionChains
from PIL import Image, ImageDraw
from io import BytesIO
service = Service("driver/chromedriver.exe")
driver = webdriver.Chrome(service=service)
# 1.打開首頁
driver.get('https://www.geetest.com/adaptive-captcha-demo')
# 2.點(diǎn)擊【滑動(dòng)拼圖驗(yàn)證】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[4]'
))
tag.click()
# 3.點(diǎn)擊開始驗(yàn)證
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click'
))
tag.click()
# 4.等待驗(yàn)證碼出來
time.sleep(5)
# 5.識(shí)別任務(wù)圖片
target_word_list = []
parent = driver.find_element(By.CLASS_NAME, 'geetest_ques_back')
tag_list = parent.find_elements(By.TAG_NAME, "img")
for tag in tag_list:
    ocr = ddddocr.DdddOcr(show_ad=False)
    word = ocr.classification(tag.screenshot_as_png)
    target_word_list.append(word)
print("要識(shí)別的文字：", target_word_list)
# 6.背景圖片
bg_tag = driver.find_element(
    By.CLASS_NAME,
    'geetest_bg'
)
content = bg_tag.screenshot_as_png
bg_tag.screenshot("bg.png")
# 7.識(shí)別背景中的所有文字并獲取坐標(biāo)
res = requests.post(
    url='http://upload.chaojiying.net/Upload/Processing.php',
    data={
        'user': "deng",
        'pass2': md5("密碼".encode('utf-8')).hexdigest(),
        'codetype': "9501",
        'file_base64': base64.b64encode(content)
    },
    headers={
        'Connection': 'Keep-Alive',
        'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
    }
)
res_dict = res.json()
print(res_dict)
# 8.每個(gè)字的坐標(biāo)  {"鴨":(196,85), ...}    target_word_list = ["花","鴨","字"]
bg_word_dict = {}
for item in res_dict["pic_str"].split("|"):
    word, x, y = item.split(",")
    bg_word_dict[word] = (x, y)
print(bg_word_dict)
time.sleep(1000)
driver.close()

4.坐標(biāo)點(diǎn)擊

根據(jù)坐標(biāo)，在驗(yàn)證碼上進(jìn)行點(diǎn)擊。

ActionChains(driver).move_to_element_with_offset(標(biāo)簽對(duì)象, xoffset=x, yoffset=y).click().perform()

import re
import time
import ddddocr
import requests
import base64
import requests
from hashlib import md5
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver import ActionChains
from PIL import Image, ImageDraw
from io import BytesIO
service = Service("driver/chromedriver.exe")
driver = webdriver.Chrome(service=service)
# 1.打開首頁
driver.get('https://www.geetest.com/adaptive-captcha-demo')
# 2.點(diǎn)擊【滑動(dòng)拼圖驗(yàn)證】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.XPATH,
    '//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[4]'
))
tag.click()
# 3.點(diǎn)擊開始驗(yàn)證
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(
    By.CLASS_NAME,
    'geetest_btn_click'
))
tag.click()
# 4.等待驗(yàn)證碼出來
time.sleep(5)
# 5.識(shí)別任務(wù)圖片
target_word_list = []
parent = driver.find_element(By.CLASS_NAME, 'geetest_ques_back')
tag_list = parent.find_elements(By.TAG_NAME, "img")
for tag in tag_list:
    ocr = ddddocr.DdddOcr(show_ad=False)
    word = ocr.classification(tag.screenshot_as_png)
    target_word_list.append(word)
print("要識(shí)別的文字：", target_word_list)
# 6.背景圖片
bg_tag = driver.find_element(
    By.CLASS_NAME,
    'geetest_bg'
)
content = bg_tag.screenshot_as_png
# bg_tag.screenshot("bg.png")
# 7.識(shí)別背景中的所有文字并獲取坐標(biāo)
res = requests.post(
    url='http://upload.chaojiying.net/Upload/Processing.php',
    data={
        'user': "deng",
        'pass2': md5("自己密碼".encode('utf-8')).hexdigest(),
        'codetype': "9501",
        'file_base64': base64.b64encode(content)
    },
    headers={
        'Connection': 'Keep-Alive',
        'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
    }
)
res_dict = res.json()
bg_word_dict = {}
for item in res_dict["pic_str"].split("|"):
    word, x, y = item.split(",")
    bg_word_dict[word] = (x, y)
print(bg_word_dict)
# target_word_list = ['粉', '菜', '香']
# bg_word_dict = {'粉': ('10', '10'), '菜': ('50', '50'), '香': ('100', '93')}
# 8.點(diǎn)擊
for word in target_word_list:
    time.sleep(2)
    group = bg_word_dict.get(word)
    if not group:
        continue
    x, y = group
    x = int(x) - int(bg_tag.size['width'] / 2)
    y = int(y) - int(bg_tag.size['height'] / 2)
    ActionChains(driver).move_to_element_with_offset(bg_tag, xoffset=x, yoffset=y).click().perform()
time.sleep(1000)
driver.close()

5.圖片驗(yàn)證碼

在很多登錄、注冊(cè)、頻繁操作等行為時(shí)，一般都會(huì)加入驗(yàn)證碼的功能。

如果想要基于代碼實(shí)現(xiàn)某些功能，就必須實(shí)現(xiàn)：自動(dòng)識(shí)別驗(yàn)證碼，然后再做其他功能。

6.識(shí)別

基于Python的模塊 ddddocr 可以實(shí)現(xiàn)對(duì)圖片驗(yàn)證碼的識(shí)別。

pip3.11 install ddddocr==1.4.9  -i https://mirrors.aliyun.com/pypi/simple/
pip3.11 install Pillow==9.5.0

pip install ddddocr==1.4.9  -i https://mirrors.aliyun.com/pypi/simple/
pip install Pillow==9.5.0

6.1 本地識(shí)別

import ddddocr
ocr = ddddocr.DdddOcr(show_ad=False)
with open("img/v1.jpg", mode='rb') as f:
    body = f.read()
code = ocr.classification(body)
print(code)

6.2 在線識(shí)別

也可以直接請(qǐng)求獲取圖片，然后直接識(shí)別：

import ddddocr
import requests
res = requests.get(url="https://console.zbox.filez.com/captcha/create/reg?_t=1701511836608")
ocr = ddddocr.DdddOcr(show_ad=False)
code = ocr.classification(res.content)
print(code)

import ddddocr
import requests
res = requests.get(
    url=f"https://api.ruanwen.la/api/auth/captcha?captcha_token=n5A6VXIsMiI4MTKoco0VigkZbByJbDahhRHGNJmS"
)
ocr = ddddocr.DdddOcr(show_ad=False)
code = ocr.classification(res.content)
print(code)

6.3 base64

有些平臺(tái)的圖片是以base64編碼形式存在，需要處理下在識(shí)別。

import base64
import ddddocr
content = base64.b64decode("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")
# with open('x.png', mode='wb') as f:
#     f.write(content)
ocr = ddddocr.DdddOcr(show_ad=False)
code = ocr.classification(content)
print(code)

7.案例：x文街

https://i.ruanwen.la/

import requests
import ddddocr
# 獲得圖片驗(yàn)證碼地址
res = requests.post(url="https://api.ruanwen.la/api/auth/captcha/generate")
res_dict = res.json()
captcha_token = res_dict['data']['captcha_token']
captcha_url = res_dict['data']['src']
# 訪問并獲取圖片驗(yàn)證碼
res = requests.get(captcha_url)
# 識(shí)別驗(yàn)證碼
ocr = ddddocr.DdddOcr(show_ad=False)
code = ocr.classification(res.content)
print(code)
# 登錄認(rèn)證
res = requests.post(
    url="https://api.ruanwen.la/api/auth/authenticate",
    json={
        "mobile": "手機(jī)號(hào)",
        "device": "pc",
        "password": "密碼",
        "captcha_token": captcha_token,
        "captcha": code,
        "identity": "advertiser"
    }
)
print(res.json())
# {'success': True, 'message': '驗(yàn)證成功', 'data': {'token': 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJodHRwczovL2FwaS5ydWFud2VuLmxhL2FwaS9hdXRoL2F1dGhlbnRpY2F0ZSIsImlhdCI6MTcwMTY1MzI2NywiZXhwIjoxNzA1MjUzMjY3LCJuYmYiOjE3MDE2NTMyNjcsImp0aSI6IjQ3bk05ejZyQ0JLV28wOEQiLCJzdWIiOjUzMzEyNTgsInBydiI6IjQxZGY4ODM0ZjFiOThmNzBlZmE2MGFhZWRlZjQyMzQxMzcwMDY5MGMifQ.XxFYMEot-DfjTUcuVuoCjcBqu3djvzJiTeJERaR95co'}, 'status': 200}

到此這篇關(guān)于Python爬蟲selenium驗(yàn)證-中文識(shí)別點(diǎn)選+圖片驗(yàn)證碼案例的文章就介紹到這了,更多相關(guān)Python selenium驗(yàn)證內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

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