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je-suis-tm/web-scraping

默认分支 master · commit 5fce1dcd · 扫描时间 2026/6/13 22:33:22

星标 882 · Fork 189

AI 可见性总分
33 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
2 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 je-suis-tm/web-scraping 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition the README's opening to emphasize "tutorials" and "site-specific examples"

    原因:

    当前
    My understanding of web scraping is patience and attention to details. Scraping is not rocket science (deep learning is). When I do scraping, I typically spend 50% of my time in analyzing the source (navigate through HTML parse tree or inspect element to find the post form) and the rest 50% in ETL. The most useful tools for me are `requests`, `bs4` and `re`. Some people may recommend `selenium` for non-static website. To be honest, I have never used `selenium` throughout my career, but dynamic websites like Facebook and Twitter are still within my grasp. You see? patience and attention to details matter. This repository contains a couple of python web scrapers. These scrapers mainly target at different commodity future exchanges and influential media websites (or so-called fake news, lol). Most scripts were written during my early days of Python learning. Since this repository gained unexpected popularity, I have restructured everything to make it more user-friendly. All the scripts featured in this repository are ready for use. Each script is designed to feature a unique technique that I found useful throughout my experience of data engineering.
    复制粘贴的修复
    This repository provides detailed Python web scraping tutorials and ready-to-use, site-specific examples. It focuses on extracting financial market data from sources like Reddit WallStreetBets, CME, US Treasury, CFTC, LME, MacroTrends, and SHFE, alongside news and alternative data from major media outlets such as Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, and The Economist. Each script demonstrates unique techniques using `requests`, `bs4`, and `re`, including methods for dynamic websites without relying on `selenium`.
  • mediumtopics#2
    Add topics that highlight the tutorial/example nature and the 'no-selenium' approach

    原因:

    当前
    bloomberg, data-scraper, data-scraping, financial-data, financial-times, futures, futures-historical-data, news-scraper, news-websites, newsletter, options-data, python-web-scraper, reuters, scrapper, sraping, wall-street-journal, wallstreetbets, web-scraper, web-scrapers, web-scraping
    复制粘贴的修复
    bloomberg, data-scraper, data-scraping, financial-data, financial-times, futures, futures-historical-data, news-scraper, news-websites, newsletter, options-data, python-web-scraper, reuters, scrapper, sraping, wall-street-journal, wallstreetbets, web-scraper, web-scrapers, web-scraping, web-scraping-tutorials, python-web-scraping-examples, no-selenium-scraping, dynamic-web-scraping
  • lowabout#3
    Emphasize 'practical examples' in the description

    原因:

    当前
    Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist
    复制粘贴的修复
    Detailed web scraping tutorials and practical, site-specific examples for dummies, featuring financial data crawlers on Reddit WallStreetBets, CME (options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE, and alternative data crawlers for Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 je-suis-tm/web-scraping
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
yfinance
在 2 个问题中被推荐 1 次
竞品排行
  1. yfinance · 被推荐 1 次
  2. Beautiful Soup · 被推荐 1 次
  3. Scrapy · 被推荐 1 次
  4. Alpha Vantage API · 被推荐 1 次
  5. NewsAPI.org · 被推荐 1 次
  • 品类问题
    How to scrape financial market data and news articles using Python?
    你:未被推荐
    AI 推荐顺序:
    1. yfinance
    2. Beautiful Soup
    3. Scrapy
    4. Alpha Vantage API
    5. NewsAPI.org
    6. finnhub.io API
    7. Selenium

    AI 推荐了 7 个替代方案,却始终没点名 je-suis-tm/web-scraping。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Looking for Python web scraping tutorials to extract data from dynamic websites without Selenium.
    你:未被推荐
    AI 推荐顺序:
    1. Beautiful Soup (crummy/BeautifulSoup)
    2. requests-html (psf/requests-html)
    3. Playwright (microsoft/playwright)
    4. Scrapy (scrapy/scrapy)
    5. Scrapy-Splash (scrapy-plugins/scrapy-splash)
    6. Scrapy-Playwright (scrapy-plugins/scrapy-playwright)
    7. Web Scraping with Python by Ryan Mitchell
    8. Real Python
    9. YouTube

    AI 推荐了 9 个替代方案,却始终没点名 je-suis-tm/web-scraping。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    pass

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of je-suis-tm/web-scraping?
    pass
    AI 明确点名了 je-suis-tm/web-scraping

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts je-suis-tm/web-scraping in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 je-suis-tm/web-scraping

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo je-suis-tm/web-scraping solve, and who is the primary audience?
    pass
    AI 未点名 je-suis-tm/web-scraping —— 很可能在说另一个项目

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 je-suis-tm/web-scraping 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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订阅 Pro,解锁深度诊断

je-suis-tm/web-scraping — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3