daily-trending

Fetching daily trending topics across multiple Chinese platforms requires aggregating lists from a single source like tophub.today, which pulls data from Weibo, Zhihu, Baidu, and 36Kr, retrieving only core sources first to prevent context overload.

Filtering out gossip and promotions when researching hot topics requires applying quality filters that exclude emotional commentary and promotional material, returning only complete, factual, event-focused headline-style items for practical content planning.

Yes, retrieving multilingual trending news from 36Kr and The Paper using a single aggregation request is supported, prioritizing core sources first to efficiently cover the majority of results across both Chinese and multilingual query contexts.

Web scraping for news aggregation does work for batch fetching to avoid context overflow by retrieving only a few core platforms first, expanding only if needed, ensuring the output remains within manageable context limits.

Daily trending topic discovery might return incomplete event headlines if the scraping process does not apply strict quality filtering. Ensuring complete outputs requires filtering out non-factual commentary and returning exactly five complete, event-focused items.