Python功能制作之获取CSDN所有发布文章的对应数据

大家好，今天我要分享的是一个实用的Python脚本，它可以帮助你批量获取CSDN博客上所有发布文章的相关数据，并将这些数据保存到Excel文件中。此外，脚本还会为每篇文章获取一个质量分，并将这个分数也记录在Excel中。让我们开始吧！

脚本功能概述

这个脚本主要分为两个部分：

1. 获取文章信息并保存到Excel：这部分会从CSDN API获取你的文章列表，并将关键信息保存到Excel文件中。
2. 获取文章质量分并更新Excel：这部分会为每篇文章请求一个质量分，并将这个分数添加到对应的Excel文件中。

实现步骤

1. 导入必要的库

首先，我们需要导入一些Python库来帮助我们完成这个任务：

import json
import pandas as pd
from openpyxl import Workbook, load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
import math
import requests

2. 定义获取文章信息并保存到Excel的类

我们定义了一个类 GetInformationToExcel 来处理文章信息的获取和Excel文件的保存：

class GetInformationToExcel:def __init__(self, username, cookies, Referer, page, size, filename):self.username = usernameself.cookies = cookiesself.Referer = Refererself.size = sizeself.filename = filenameself.page = page# 发送HTTP GET请求到CSDN的API，获取文章列表def get_articles(self):url = "https://blog.csdn.net/community/home-api/v1/get-business-list"params = {"page": {self.page},"size": {self.size},"businessType": "blog","username": {self.username}}headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 11.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3','Cookie': self.cookies,'Referer': self.Referer}try:response = requests.get(url, params=params, headers=headers)response.raise_for_status()data = response.json()return data.get('data', {}).get('list', [])except requests.exceptions.HTTPError as e:print(f"HTTP错误: {e.response.status_code} {e.response.reason}")except requests.exceptions.RequestException as e:print(f"请求异常: {e}")except json.JSONDecodeError:print("解析JSON失败")return []# 将文章列表转换为Pandas DataFrame,选择并重命名必要的列。def export_to_excel(self):df = pd.DataFrame(self.get_articles())df = df[['title', 'url', 'postTime', 'viewCount', 'collectCount', 'diggCount', 'commentCount']]df.columns = ['文章标题', 'URL', '发布时间', '阅读量', '收藏量', '点赞量', '评论量']wb = Workbook()sheet = wb.activefor r in dataframe_to_rows(df, index=False, header=True):sheet.append(r)for column in sheet.columns:max_length = 0column = [cell for cell in column]for cell in column:try:if len(str(cell.value)) > max_length:max_length = len(cell.value)except:passadjusted_width = (max_length + 5)sheet.column_dimensions[column[0].column_letter].width = adjusted_width# Save the workbookwb.save(self.filename)

在这个类中，我们实现了以下方法：

• __init__：初始化方法，设置类的基本属性。
• get_articles：发送HTTP GET请求到CSDN的API，获取文章列表。
• export_to_excel：将文章列表转换为Pandas DataFrame，并保存到Excel文件。

3. 定义获取文章质量分的类

接下来，我们定义了另一个类 GetArticleScores 来处理文章质量分的获取和Excel文件的更新：

class GetArticleScores:def __init__(self, filepath):self.filepath = filepath# 发送HTTP POST请求到一个API，获取文章的质量分。@staticmethoddef get_article_score(article_url):url = "https://bizapi.csdn.net/trends/api/v1/get-article-score"headers = {"Accept": "application/json, text/plain, */*","X-Ca-Key": "203930474","X-Ca-Nonce": "b35e1821-05c2-458d-adae-3b720bb15fdf","X-Ca-Signature": "gjeSiKTRCh8aDv0UwThIVRITc/JtGJkgkZoLVeA6sWo=","X-Ca-Signature-Headers": "x-ca-key,x-ca-nonce","X-Ca-Signed-Content-Type": "multipart/form-data",}data = {"url": article_url}try:response = requests.post(url, headers=headers, data=data)response.raise_for_status()  # This will raise an error for bad responsesreturn response.json().get('data', {}).get('score', 'Score not found')except requests.RequestException as e:print(f"Request failed: {e}")return "Error fetching score"def get_scores_from_excel(self):"""读取Excel文件，获取文章URL列表。对每个URL调用 get_article_score 方法，获取分数列表。返回分数列表。"""df = pd.read_excel(self.filepath)urls = df['URL'].tolist()scores = [self.get_article_score(url) for url in urls]return scoresdef write_scores_to_excel(self):"""读取Excel文件到DataFrame。将获取的分数添加到DataFrame中。将更新后的DataFrame保存回Excel文件。"""df = pd.read_excel(self.filepath)df['质量分'] = self.get_scores_from_excel()df.to_excel(self.filepath, index=False)

在这个类中，我们实现了以下方法：

• __init__：初始化方法，设置类的基本属性。
• get_article_score：静态方法，发送HTTP POST请求到一个API，获取文章的质量分。
• get_scores_from_excel：读取Excel文件，获取文章URL列表，并获取分数列表。
• write_scores_to_excel：读取Excel文件到DataFrame，将获取的分数添加到DataFrame中，并保存回Excel文件。

4. 主程序

最后，我们在主程序中设置了文章总数、cookies、Referer和CSDN用户ID，并执行了以下步骤：

• 计算需要请求的页数。
• 循环处理每一页的文章，创建Excel文件，并获取质量分写入Excel。

if __name__ == '__main__':# 请填写:已发文章总数量,cookies,你的首页Referer，你的id：CSDNidtotal = 145cookies = 'uuid_tt_dd=10'  # Simplified for brevityReferer = 'https://blog.csdn.net/q244645787'CSDNid = 'q244645787'# 下面是计算和获取t_index = math.ceil(total / 100) + 1  # 向上取整，半闭半开区间，开区间+1。for index in range(1, t_index):  # 文章总数filename = "score" + str(index) + ".xlsx"exporter_excel = GetInformationToExcel(CSDNid, cookies, Referer, index, 100, filename)  # Replace with your usernameexporter_excel.export_to_excel()article_score = GetArticleScores(filename)article_score.write_scores_to_excel()print("获取完成")

执行完毕后，你会得到包含所有文章数据和质量分的Excel文件。

所有代码：

import json
import pandas as pd
from openpyxl import Workbook, load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
import math
import requests# 批量获取文章信息并保存到excel
class GetInformationToExcel:def __init__(self, username, cookies, Referer, page, size, filename):self.username = usernameself.cookies = cookiesself.Referer = Refererself.size = sizeself.filename = filenameself.page = page# 发送HTTP GET请求到CSDN的API，获取文章列表def get_articles(self):url = "https://blog.csdn.net/community/home-api/v1/get-business-list"params = {"page": {self.page},"size": {self.size},"businessType": "blog","username": {self.username}}headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 11.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3','Cookie': self.cookies,'Referer': self.Referer}try:response = requests.get(url, params=params, headers=headers)response.raise_for_status()data = response.json()return data.get('data', {}).get('list', [])except requests.exceptions.HTTPError as e:print(f"HTTP错误: {e.response.status_code} {e.response.reason}")except requests.exceptions.RequestException as e:print(f"请求异常: {e}")except json.JSONDecodeError:print("解析JSON失败")return []# 将文章列表转换为Pandas DataFrame,选择并重命名必要的列。def export_to_excel(self):df = pd.DataFrame(self.get_articles())df = df[['title', 'url', 'postTime', 'viewCount', 'collectCount', 'diggCount', 'commentCount']]df.columns = ['文章标题', 'URL', '发布时间', '阅读量', '收藏量', '点赞量', '评论量']wb = Workbook()sheet = wb.activefor r in dataframe_to_rows(df, index=False, header=True):sheet.append(r)for column in sheet.columns:max_length = 0column = [cell for cell in column]for cell in column:try:if len(str(cell.value)) > max_length:max_length = len(cell.value)except:passadjusted_width = (max_length + 5)sheet.column_dimensions[column[0].column_letter].width = adjusted_width# Save the workbookwb.save(self.filename)# 获取每篇文章的质量分，并将分数写入到Excel文件中
class GetArticleScores:def __init__(self, filepath):self.filepath = filepath# 发送HTTP POST请求到一个API，获取文章的质量分。@staticmethoddef get_article_score(article_url):url = "https://bizapi.csdn.net/trends/api/v1/get-article-score"headers = {"Accept": "application/json, text/plain, */*","X-Ca-Key": "203930474","X-Ca-Nonce": "b35e1821-05c2-458d-adae-3b720bb15fdf","X-Ca-Signature": "gjeSiKTRCh8aDv0UwThIVRITc/JtGJkgkZoLVeA6sWo=","X-Ca-Signature-Headers": "x-ca-key,x-ca-nonce","X-Ca-Signed-Content-Type": "multipart/form-data",}data = {"url": article_url}try:response = requests.post(url, headers=headers, data=data)response.raise_for_status()  # This will raise an error for bad responsesreturn response.json().get('data', {}).get('score', 'Score not found')except requests.RequestException as e:print(f"Request failed: {e}")return "Error fetching score"def get_scores_from_excel(self):"""读取Excel文件，获取文章URL列表。对每个URL调用 get_article_score 方法，获取分数列表。返回分数列表。"""df = pd.read_excel(self.filepath)urls = df['URL'].tolist()scores = [self.get_article_score(url) for url in urls]return scoresdef write_scores_to_excel(self):"""读取Excel文件到DataFrame。将获取的分数添加到DataFrame中。将更新后的DataFrame保存回Excel文件。"""df = pd.read_excel(self.filepath)df['质量分'] = self.get_scores_from_excel()df.to_excel(self.filepath, index=False)if __name__ == '__main__':# 请填写:已发文章总数量,cookies,你的首页Referer，你的id：CSDNidtotal = 145cookies = 'uuid_tt_dd=10'  # Simplified for brevityReferer = 'https://blog.csdn.net/q244645787'CSDNid = 'q244645787'# 下面是计算和获取t_index = math.ceil(total / 100) + 1  # 向上取整，半闭半开区间，开区间+1。for index in range(1, t_index):  # 文章总数filename = "score" + str(index) + ".xlsx"exporter_excel = GetInformationToExcel(CSDNid, cookies, Referer, index, 100, filename)  # Replace with your usernameexporter_excel.export_to_excel()article_score = GetArticleScores(filename)article_score.write_scores_to_excel()print("获取完成")

效果