ref-bib-harvester 是一个自动化工具，能够从 Google Scholar 批量抓取学术论文的 BibTeX 和 摘要，帮助你快速整理参考文献，提高学术写作效率。
请确保你的环境已安装 Python，然后运行以下命令安装必要的依赖库：
pip install selenium webdriver-manager beautifulsoup4执行以下命令启动抓取过程：
python fetch_bibs.py在运行过程中，Google Scholar 可能会要求你手动完成验证码。遇到验证码时，请按照页面提示操作，并在完成后按 Enter 继续。
执行脚本后，将生成以下两个文件（如果文件已存在，将自动追加内容，而不会覆盖）：
📌 bibtex.txt：包含所有论文的 BibTeX 数据，可直接粘贴到 LaTeX 项目中。
📌 summary.txt：包含论文标题、BibTeX 信息和摘要，可用于整理参考文献或提供给 LLM 生成 Related Works 部分。
要更改要抓取的论文列表，请直接编辑 fetch_bibs.py 文件，在其中添加或修改论文标题。
✅ 论文写作：快速整理参考文献，直接获取 BibTeX。
✅ LLM 辅助：将 summary.txt 提供给大语言模型（LLM），自动生成 Related Works 部分。
✅ 高效文献管理：无需手动查找和复制 BibTeX，提高科研效率。
ref-bib-harvester is an automation tool that batch-fetches academic papers' BibTeX and abstracts from Google Scholar, making it easier to manage references and streamline academic writing.
Ensure you have Python installed, then install the required libraries:
pip install selenium webdriver-manager beautifulsoup4Start the fetching process by running:
python fetch_bibs.pyDuring execution, Google Scholar may require manual CAPTCHA verification. If prompted, complete the CAPTCHA and press Enter to continue.
After running the script, two output files will be generated (if they already exist, new content will be appended instead of overwritten):
📌 bibtex.txt – Contains BibTeX entries for all retrieved papers, ready to be pasted into LaTeX.
📌 summary.txt – Includes paper titles, BibTeX entries, and abstracts, which can be used for literature review or fed into LLMs for automated Related Works generation.
To modify the list of papers to fetch, simply edit the fetch_bibs.py file and add or update paper titles.
✅ Academic Writing – Quickly gather references and retrieve BibTeX data.
✅ LLM Assistance – Use summary.txt as input for an LLM to generate a Related Works section.
✅ Efficient Literature Management – No need to manually search for and copy BibTeX, saving time.
Feel free to submit issues or contribute to this project! 🚀