WeChat Official Account Article Search

What It Solves

When tracking industry topics, analyzing competitor content, or monitoring brand sentiment, manually browsing official account articles is fragmented and hard to turn into reusable data. This skill centers on keyword search over recent articles from mid-to-high tier official accounts, turning retrieval, ranking, and export into a repeatable workflow for engineers and analysts who need a quick view of discussion coverage, content angles, and relevant accounts.

How It Works

• Keyword retrieval: keyword is required and limited to 10 characters; the scope covers articles published within the last 30 days by mid-to-high tier official accounts.
• Score-based ranking: results are ordered by keyword relevance, reading heat, and freshness, with higher reads preferred when scores tie.
• Multi-format output: a terminal table shows title, author, reads, likes, shares, collections, publish time, and article link; it also generates a UTF-8 BOM CSV file and a dark-themed HTML report.
• Interactive report: the HTML view supports live search, pagination, cover images, and clickable article cards that open the original posts; a local proxy helps reduce browser cross-origin friction.
• API key configuration: the key can be supplied via REDFOX_API_KEY, --api-key, or a local config file.

Boundaries

By default it returns 20 items per run; adjust with --count and load more through HTML pagination. It does not cover every official account or all historical articles. For full historical tracking of one specific official account, a subscription-style capability is more appropriate. Keywords should stay concise; sparse results trigger broader-search guidance or popular-topic fallbacks.