Automatically collect and summarize articles from WeChat Official Accounts.
- Batch collection of WeChat article links using Quicker
- Article downloading using wechatDownload
- Article summarization using Large Language Models (LLM)
- Automatic upload of summaries to Feishu (Lark) documents and Airtable
We use Quicker to simulate mouse and keyboard operations for batch collection of article links.
- Quicker action: Get WeChat Official Account Article Links
Output:
Note: Currently optimized for 2560×1440 screens. Other resolutions may require adjustments.
We use the open-source project wechatDownload to download the articles.
Articles are summarized using Large Language Models.
Summaries are automatically uploaded to Feishu (Lark) documents and Airtable for easy access and organization.
Full Quicker action: Automatic WeChat Article Collection and Summarization
Output:
Set this to run daily for automated WeChat Official Account monitoring and collection (RSS-like functionality).
Pandora Job Information Sharing
As of 2024-03-28:
- Refactor and optimize code
- Improve Quicker action to be more adaptable to different screen resolutions
- Enhance PDF summary operations and database integration
- Integrate with larger RSS projects
- Expand to more diverse information sources (news sites, podcasts, blogs, Bilibili videos, etc.)
Our ultimate goal is to facilitate smoother information flow and provide an AI assistant to help process information overload:
- Summarize content from various sources to create a personalized RSS-like experience
- Allow users to stay informed while spending less time on information consumption
- This project demonstrates that sometimes the most effective anti-crawling measures are the simplest, human-like approaches
- The quality of input data significantly shapes the model's (and human's) potential
- We aim to make information more accessible and manageable in our increasingly data-rich world