[Python] Bilibili 영상 댓글 및 글머리 기호 처리 및 분석을 위한 스크립트

면책조항: 개인 학습 및 연구 목적으로만 사용됩니다. 다른 용도로의 사용을 엄격히 금지합니다.

소개

본 스크립트는 인문학 분야의 학문적 목적, 특히 네트워크 플랫폼 담론 분석 연구를 위해 개발되었습니다. Bilibili 총알 채팅 및 댓글에 대한 포괄적인 연구를 가능하게 합니다. 서브컬쳐와 사회 이슈에 관련된 방대한 콘텐츠(검토 자료 기준)에 초점이 맞춰져 있어 철저한 조사, 분석, 보완, 요약이 필요합니다.

내용이 광범위하므로 결과는 다음 링크로 표시됩니다.

서브컬처 관점에서 본 댓글과 총알채팅 연구:
​https://nbviewer.org/github/Excalibra/scripts/blob/main/d-ipynb/Subculture 관점 검토 및 Bullet Screen Research.ipynb

'서브컬쳐', '사회이슈' 부분에 대한 연구를 완료한 뒤 공개할 계획이었습니다. 다만, 해당 분야 연구자 및 학생들의 필요를 고려하여 공유하게 되었습니다.

특징 및 원리

스크립트 기능:

1. 동영상 제목, 작성자, 게시 날짜, 조회수, 즐겨찾기, 공유, 누적 글머리 기호 채팅, 댓글 수, 동영상 설명, 카테고리, 동영상 링크, 표지 이미지 링크 등의 데이터를 수집합니다.

2. 감정 점수, 품사 분석, 타임스탬프, 사용자 ID를 포함하여 100개의 글머리 기호 채팅을 추출합니다.

3. 좋아요, 감정 점수, 주제 답글, 멤버십 ID, 이름, 댓글 타임스탬프와 함께 상위 댓글 20개를 검색합니다.

향상된 기능:

1. 글머리 기호 채팅: 사용자 이름, 생일, 등록 날짜, 팔로어 수, 팔로잉 수(쿠키 사용).

2. 댓글: 댓글 작성자의 IP 위치를 표시합니다(웹 인터페이스를 통해).

3. 감정 중앙값, 단어 빈도 통계, 단어 클라우드 및 막대 차트가 포함된 데이터를 Excel 파일로 출력합니다.

작동 원리:

API를 사용하여 JSON 정보를 가져와 Excel 파일로 처리하고 텍스트 분할, 불용어 필터링, 품사 분석 및 단어 빈도 통계를 위해 SnowNLP, ThuNLP 및 Jieba와 같은 언어 모델을 사용합니다. Matplotlib은 그래프 생성에 사용됩니다.

빠르게 시작하기

(Windows 사용자는 pip 및 python을 사용할 수 있습니다. Mac 사용자는 기본적으로 pip3 및 python3을 사용해야 합니다.)

스크립트 소스 코드: GitHub 저장소.

전제 라이브러리:
필수 라이브러리 설치:

pip3 install --no-cache-dir -r https://ghproxy.com/https://github.com/Excalibra/scripts/blob/main/d-txt/requirements.txt

그런 다음 스크립트를 실행합니다(온라인):

python3 -c "$(curl -fsSL https://ghproxy.com/https://github.com/Excalibra/scripts/blob/main/d-python/get_bv_baseinfo.py)"

import json
import time
import requests
import os
from datetime import datetime
import re
from bs4 import BeautifulSoup
from openpyxl import Workbook
from openpyxl.styles import Alignment, Font
from snownlp import SnowNLP
import statistics
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import platform
import thulac
import matplotlib.font_manager as fm
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By


'''''''''

# Reference Links

## General

Regex: https://regex101.com/
Zhihu - Two ways to obtain Bilibili video bullet comments using Python: https://zhuanlan.zhihu.com/p/609154366
Juejin - Parsing Bilibili video bullet comments: https://juejin.cn/post/7137928570080329741
CSDN - Bilibili historical bullet comment crawler: https://blog.csdn.net/sinat_18665801/article/details/104519838
CSDN - How to write a Bilibili bullet comment crawler: https://blog.csdn.net/bigbigsman/article/details/78639053?utm_source=app
Bilibili - Bilibili bullet comment notes: https://www.bilibili.com/read/cv5187469/
Bilibili third-party API: https://www.bookstack.cn/read/BilibiliAPIDocs/README.md

## Reverse Lookup by UID

https://github.com/esterTion/BiliBili_crc2mid
https://github.com/cwuom/GetDanmuSender/blob/main/main.py
https://github.com/Aruelius/crc32-crack

## User Basic Information

https://api.bilibili.com/x/space/acc/info?mid=298220126
https://github.com/ria-klee/bilibili-uid
https://github.com/SocialSisterYi/bilibili-API-collect/blob/master/docs/user/space.md

## Comments

https://www.bilibili.com/read/cv10120255/
https://github.com/SocialSisterYi/bilibili-API-collect/blob/master/docs/comment/readme.md

## JSON

https://json-schema.apifox.cn
https://bbs.huaweicloud.com/blogs/279515
https://www.cnblogs.com/mashukui/p/16972826.html

## Cookie

https://developer.mozilla.org/zh-CN/docs/Web/HTTP/Cookies

## Unpacking

https://www.cnblogs.com/will-wu/p/13251545.html
https://www.w3schools.com/python/python_tuples.asp

'''''''''''

class BilibiliAPI:
    @staticmethod
    # Parse video link basic information JSON and return it in JSON format
    def get_bv_json(video_url):
        video_id = re.findall(r'BV\w+', video_url)[0]
        api_url = f'https://api.bilibili.com/x/web-interface/view?bvid={video_id}'
        bv_json = requests.get(api_url).json()
        return bv_json

    @staticmethod
    # Parse video link bullet comments XML using the 'cid' field in JSON
    def get_danmu_xml(bv_json):
        cid = bv_json['data']["cid"]
        api_url = f'https://comment.bilibili.com/{cid}.xml'
        danmu_xml = api_url
        return danmu_xml

    @staticmethod
    # Parse video link comments JSON using the 'aid' field in JSON
    def get_comment_json(bv_json):
        aid = bv_json['data']["aid"]
        api_url = f'https://api.bilibili.com/x/v2/reply/main?next=1&type=1&oid={aid}'
        comment_json = requests.get(api_url).json()
        return comment_json

    @staticmethod
    # Enhanced parsing of video link comments JSON using the 'aid' field in JSON
    def get_comment_json_to_webui(bv_json):
        aid = bv_json['data']["aid"]
        api_url = f'https://api.bilibili.com/x/v2/reply/main?next=1&type=1&oid={aid}'

        # Determine the current operating system type
        if platform.system() == "Windows":
            # Windows platform
            driver = webdriver.Chrome()
        else:
            # Other platforms
            driver = webdriver.Chrome(ChromeDriverManager().install())

        # Provide login time
        print("Provide 45 seconds for Bilibili login")
        time.sleep(45)

        # Open the link
        driver.get(api_url)

        # Provide view effect time
        print("Provide 15 seconds to check the effects")
        time.sleep(15)

        # Find the <pre class="brush:php;toolbar:false"> element
        pre_element = driver.find_element(By.TAG_NAME, 'pre')

        # Get the text content of the element
        text_content = pre_element.text

        # Close WebDriver
        driver.quit()

        return text_content

    @staticmethod
    # Traverse user information and return basic parameters, preparing for XLSX write-in
    def get_user_card(mid, cookies):
            api_url = f'https://account.bilibili.com/api/member/getCardByMid?mid={mid}'
            try:
                response = requests.get(api_url, cookies=cookies)
                user_card_json = response.json()
            except json.JSONDecodeError:
                return {"error": "Failed to parse JSON. Ensure a good network environment. Too many API calls might trigger restrictions; try again later."}

            if 'message' in user_card_json:
                message = user_card_json['message']
                if 'request blocked' in message or 'frequent requests' in message:
                    return {"warning": "Ensure a good network environment. Too many API calls might trigger restrictions; try again later."}

            return user_card_json

class CRC32Checker:
    ''''''''''
    # CRC32 cracking
    # Source: https://github.com/Aruelius/crc32-crack
    # Author: Aruelius
    # Note: This section has been slightly adjusted and encapsulated as a class for easier use.
    '''''''''

    CRCPOLYNOMIAL = 0xEDB88320
    crctable = [0 for x in range(256)]

    def __init__(self):
        self.create_table()

    def create_table(self):
        # Create a CRC table for quick CRC value computation
        for i in range(256):
            crcreg = i
            for _ in range(8):
                if (crcreg & 1) != 0:
                    crcreg = self.CRCPOLYNOMIAL ^ (crcreg >> 1)
                else:
                    crcreg = crcreg >> 1
            self.crctable[i] = crcreg

    def crc32(self, string):
        # Compute the CRC32 value for the given string
        crcstart = 0xFFFFFFFF
        for i in range(len(str(string))):
            index = (crcstart ^ ord(str(string)[i])) & 255
            crcstart = (crcstart >> 8) ^ self.crctable[index]
        return crcstart

    def crc32_last_index(self, string):
        # Compute the last character CRC table index for a given string
        crcstart = 0xFFFFFFFF
        for i in range(len(str(string))):
            index = (crcstart ^ ord(str(string)[i])) & 255
            crcstart = (crcstart >> 8) ^ self.crctable[index]
        return index

    def get_crc_index(self, t):
        # Find the index in the CRC table corresponding to the highest byte value
        for i in range(256):
            if self.crctable[i] >> 24 == t:
                return i
        return -1

    def deep_check(self, i, index):
        # Deep check based on index and previous CRC32 values to verify the assumption
        string = ""
        tc = 0x00
        hashcode = self.crc32(i)
        tc = hashcode & 0xff ^ index[2]
        if not (tc <= 57 and tc >= 48):
            return [0]
        string += str(tc - 48)
        hashcode = self.crctable[index[2]] ^ (hashcode >> 8)
        tc = hashcode & 0xff ^ index[1]
        if not (tc <= 57 and tc >= 48):
            return [0]
        string += str(tc - 48)
        hashcode = self.crctable[index[1]] ^ (hashcode >> 8)
        tc = hashcode & 0xff ^ index[0]
        if not (tc <= 57 and tc >= 48):
            return [0]
        string += str(tc - 48)
        hashcode = self.crctable[index[0]] ^ (hashcode >> 8)
        return [1, string]

    def main(self, string):
        # Main function to compute and validate CRC32 for the given string
        index = [0 for x in range(4)]
        i = 0
        ht = int(f"0x{string}", 16) ^ 0xffffffff
        for i in range(3, -1, -1):
            index[3-i] = self.get_crc_index(ht >> (i*8))
            snum = self.crctable[index[3-i]]
            ht ^= snum >> ((3-i)*8)
        for i in range(100000000):
            lastindex = self.crc32_last_index(i)
            if lastindex == index[3]:
                deepCheckData = self.deep_check(i, index)
                if deepCheckData[0]:
                    break
        if i == 100000000:
            return -1
        return f"{i}{deepCheckData[1]}"
class Tools:
    @staticmethod
    # Get save path and format
    def get_save():
        return os.path.join(os.path.join(os.path.expanduser("~"), "Desktop"),
                            "Bilibili_Video_Analysis_{}.xlsx".format(datetime.now().strftime('%Y-%m-%d')))

    @staticmethod
    # Format timestamp
    def format_timestamp(timestamp):
        dt_object = datetime.fromtimestamp(timestamp)
        formatted_time = dt_object.strftime("%Y-%m-%d %H:%M:%S")
        return formatted_time

    @staticmethod
    # Calculate sentiment score
    def calculate_sentiment_score(text):
        s = SnowNLP(text)
        sentiment_score = s.sentiments
        return sentiment_score

    @staticmethod
    # Generate a word cloud
    def get_word_cloud(sheet_name: str, workbook: Workbook):
        sheet = workbook[sheet_name]

        # Read frequency data
        words = []
        frequencies = []
        for row in sheet.iter_rows(min_row=2, values_only=True):
            words.append(row[0])
            frequencies.append(row[1])

        system = platform.system()

        if system == 'Darwin':  # macOS
            font_path = '/System/Library/Fonts/STHeiti Light.ttc'
        elif system == 'Windows':
            font_path = 'C:/Windows/Fonts/simhei.ttf'
        else:  # Other OS
            font_path = 'simhei.ttf'

        wordcloud = WordCloud(background_color='white', max_words=100, font_path=font_path)
        word_frequency = dict(zip(words, frequencies))
        wordcloud.generate_from_frequencies(word_frequency)

        plt.imshow(wordcloud, interpolation='bilinear')
        plt.axis('off')
        plt.show()

    @staticmethod
    # Generate horizontal statistics chart
    def get_word_chart(sheet_name: str, workbook):
        sheet = workbook[sheet_name]

        words = []
        frequencies = []
        for row in sheet.iter_rows(min_row=2, values_only=True):
            words.append(row[0])
            frequencies.append(row[1])

        system = platform.system()

        if system == 'Darwin':  
            font_path = '/System/Library/Fonts/STHeiti Light.ttc'
        elif system == 'Windows':
            font_path = 'C:/Windows/Fonts/simhei.ttf'
        else:  
            font_path = 'simhei.ttf'

        custom_font = fm.FontProperties(fname=font_path)

        fig, ax = plt.subplots()
        ax.barh(words, frequencies)
        ax.set_xlabel("Frequency", fontproperties=custom_font)
        ax.set_ylabel("Words", fontproperties=custom_font)

        plt.yticks(fontproperties=custom_font)

        plt.show()

    @staticmethod
    def get_user_info_by_card(user_card_json):
        info = {
            'name': "N/A", 'birthday': "N/A", 'regtime': "N/A",
            'fans': "N/A", 'friend': "N/A"
        }

        try:
            info['name'] = user_card_json['card']['name']
            info['birthday'] = user_card_json['card']['birthday']
            info['regtime'] = Tools.format_timestamp(int(user_card_json['card']['regtime']))
            info['fans'] = user_card_json['card']['fans']
            info['friend'] = user_card_json['card']['friend']
        except KeyError:
            pass

        return tuple(info.values())

class BilibiliExcel:
    @staticmethod
    # Write video basic information
    def write_base_info(workbook, bv_json):
        sheet = workbook.create_sheet(title="Video Info")
        headers = ["Video Title", "Author", "Publish Time", "Views", "Favorites", "Shares", "Total Bullet Comments",
                   "Comments Count", "Video Description", "Category", "Video Link", "Thumbnail Link"]
        sheet.append(headers)

        data = [bv_json["data"]["title"],
                bv_json["data"]["owner"]["name"],
                Tools.format_timestamp(bv_json["data"]["pubdate"]),
                bv_json["data"]["stat"]["view"],
                bv_json["data"]["stat"]["favorite"],
                bv_json["data"]["stat"]["share"],
                bv_json["data"]["stat"]["danmaku"],
                bv_json["data"]["stat"]["reply"],
                bv_json["data"]["desc"],
                bv_json["data"]["tname"],
                video_url,
                bv_json["data"]["pic"]]

        sheet.append(data)

    @staticmethod
    def save_workbook(workbook):
        workbook.save(Tools.get_save())

class PrintInfo:
    # Print basic information
    @staticmethod
    def base_message():
        if 'Windows' == platform.system():
            os.system('cls')
        else:
            os.system('clear')

        text = '''
        ************************************

        Bilibili Video Analysis v2023.6.26
        Author: Github.com/hoochanlon
        Project URL: https://github.com/hoochanlon/scripts

        Features:
        1. Analyze and visualize Bilibili video data.

        Disclaimer: For research and learning purposes only.

        ************************************
        '''
        print(text.center(50, ' '))

if __name__ == '__main__':
    PrintInfo.base_message()

    while True:
        video_url = input("Paste the Bilibili video link: ")
        if re.match(r'.*BV\w+', video_url):
            break
        else:
            print("Invalid link format. Please re-enter.")

    bv_json = BilibiliAPI.get_bv_json(video_url)
    workbook = Workbook()
    workbook.remove(workbook.active)
    BilibiliExcel.write_base_info(workbook, bv_json)
    BilibiliExcel.save_workbook(workbook)

사용 참고 사항:

• 쿠키 입력을 단순화하려면 키=값을 사용할 수 있습니다. "a=a;"와 같은 형식을 사용하여 불필요한 단계를 건너뜁니다.
• IP 위치를 보려면 웹 드라이버를 통해 Bilibili 계정에 로그인해야 합니다.

위 내용은 [Python] Bilibili 영상 댓글 및 글머리 기호 처리 및 분석을 위한 스크립트의 상세 내용입니다. 자세한 내용은 PHP 중국어 웹사이트의 기타 관련 기사를 참조하세요!