免責聲明：僅供個人學習和研究之用。嚴禁用于其他用途。

介紹

該腳本是為人文學科的學術目的而開發(fā)的：具體而言，用于網絡平臺話語分析的研究。它可以對B站彈幕和評論進行全面研究。重點是涉及亞文化和社會問題的大量內容（根據查閱的材料），需要深入調查、分析、補充和總結。

鑒于內容廣泛，結果顯示在鏈接中：

亞文化視角下的評論和彈幕研究：
?https://nbviewer.org/github/Excalibra/scripts/blob/main/d-ipynb/Subculture Perspective Review and Bullet Screen Research.ipynb

計劃完成“亞文化”和“社會問題”部分的研究后再公開。不過，考慮到該領域研究人員和學生的需求，現(xiàn)在已經分享了。

特點與原理

腳本特點：

1. 收集視頻標題、作者、發(fā)布日期、觀看次數、收藏、分享、累積彈幕、評論次數、視頻描述、類別、視頻鏈接和封面圖片鏈接等數據。

2. 提取 100 條彈幕聊天，包含情緒評分、詞性分析、時間戳和用戶 ID。

3. 檢索 20 條熱門評論，以及點贊數、情緒分數、主題回復、會員 ID、姓名和評論時間戳。

增強功能：

1. 彈幕聊天：用戶名、生日、注冊日期、關注者數量和關注數量（使用 cookie）。

2. 評論：顯示評論者的 IP 位置（通過網絡界面）。

3. 將數據輸出到 Excel 文件，其中包含情感中位數、詞頻統(tǒng)計、詞云和條形圖。

工作原理：

通過API獲取JSON信息，處理成Excel文件，利用SnowNLP、ThuNLP、Jieba等語言模型進行文本分詞、停用詞過濾、詞性分析、詞頻統(tǒng)計等。 Matplotlib 用于生成圖表。

快速入門

（Windows用戶可以使用pip和python。Mac用戶默認使用pip3和python3。）

腳本源代碼：GitHub 存儲庫。

必備庫：
安裝所需的庫：

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

然后運行腳本（在線）：

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)

使用注意事項：

• 為了簡化cookie輸入，可以使用key=value；格式，例如“a=a;”，以跳過不必要的步驟。
• 查看 IP 位置需要通過網絡驅動程序登錄您的 Bilibili 帳戶。

以上是【Python】B站視頻評論和彈幕處理分析腳本的詳細內容。更多信息請關注PHP中文網其他相關文章！