105 lines
3.9 KiB
Python
105 lines
3.9 KiB
Python
# -*- coding: utf-8 -*-
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from typing import List, Dict
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from parsel import Selector
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class TieBaExtractor:
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def __init__(self):
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pass
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@staticmethod
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def extract_search_note_list(page_content: str) -> List[Dict]:
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"""
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提取贴吧帖子列表
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Args:
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page_content: 页面内容的HTML字符串
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Returns:
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包含帖子信息的字典列表
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"""
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xpath_selector = "//div[@class='s_post']"
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post_list = Selector(text=page_content).xpath(xpath_selector)
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result = []
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for post in post_list:
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post_id = post.xpath(".//span[@class='p_title']/a/@data-tid").get(default='').strip()
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title = post.xpath(".//span[@class='p_title']/a/text()").get(default='').strip()
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link = post.xpath(".//span[@class='p_title']/a/@href").get(default='')
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description = post.xpath(".//div[@class='p_content']/text()").get(default='').strip()
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forum = post.xpath(".//a[@class='p_forum']/font/text()").get(default='').strip()
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forum_link = post.xpath(".//a[@class='p_forum']/@href").get(default='')
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author = post.xpath(".//a[starts-with(@href, '/home/main')]/font/text()").get(default='').strip()
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author_link = post.xpath(".//a[starts-with(@href, '/home/main')]/@href").get(default='')
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date = post.xpath(".//font[@class='p_green p_date']/text()").get(default='').strip()
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result.append({
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"note_id": post_id,
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"title": title,
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"desc": description,
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"note_url": link,
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"time": date,
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"tieba_name": forum,
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"tieba_link": forum_link,
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"nickname": author,
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"nickname_link": author_link,
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})
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return result
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@staticmethod
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def extract_note_detail(page_content: str) -> Dict:
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"""
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提取贴吧帖子详情
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Args:
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page_content:
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Returns:
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"""
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content_selector = Selector(text=page_content)
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# 查看楼主的链接： only_view_author_link: / p / 9117905169?see_lz = 1
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only_view_author_link = content_selector.xpath("//*[@id='lzonly_cntn']/@href").get(default='').strip() #
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note_id = only_view_author_link.split("?")[0].split("/")[-1]
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title = content_selector.xpath("//*[@id='j_core_title_wrap']/h3").get(default='').strip()
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desc = content_selector.xpath("//meta[@name='description']").get(default='').strip()
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note_url = f"/p/{note_id}"
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pass
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@staticmethod
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def extract_tieba_note_comments(page_content: str) -> List[Dict]:
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"""
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提取贴吧帖子评论
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Args:
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page_content:
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Returns:
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"""
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xpath_selector = "//div[@id='j_p_postlist']/div[@class='l_post l_post_bright j_l_post clearfix']"
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comment_list = Selector(text=page_content).xpath(xpath_selector)
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result = []
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for comment in comment_list:
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comment_id = comment.xpath(".//@data-pid").get(default='').strip()
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author = comment.xpath(".//a[@data-field]/text()").get(default='').strip()
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author_link = comment.xpath(".//a[@data-field]/@href").get(default='')
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content = comment.xpath(".//div[@class='d_post_content j_d_post_content ']/text()").get(default='').strip()
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date = comment.xpath(".//span[@class='tail-info']/text()").get(default='').strip()
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result.append({
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"comment_id": comment_id,
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"author": author,
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"author_link": author_link,
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"content": content,
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"time": date,
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})
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if __name__ == '__main__':
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with open("test_data/search_keyword_notes.html", "r", encoding="utf-8") as f:
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content = f.read()
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extractor = TieBaExtractor()
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_result = extractor.extract_search_note_list(content)
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print(_result)
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print(f"Total: {len(_result)}")
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