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Zhihu User Content Scraper

👁 zhihu-user-content-scraper

Scrape Zhihu (知乎) users by their url_token. Get every published article (with the full HTML body), or switch modes to pull a user's profile, their followers, their followees, or the columns they follow. Each record is returned as clean, structured data: title, content, excerpt, vote-up and comment counts, author info, and the canonical URL.

Unofficial. This Actor is not affiliated with, authorized, or endorsed by Zhihu (知乎 / 智者天下科技). It is an independent tool that retrieves publicly available data via a third-party API. Use it in compliance with Zhihu's terms and all applicable laws; you are responsible for how you use the retrieved data.

What it does

Give one or more Zhihu url_tokens — the slug in a profile URL zhihu.com/people/<token> (e.g. kaifulee for 李开复) — and pick a content type:

• Articles (default) — every article the user has published, including the full HTML content, title, excerpt, vote-up / comment counts and timestamps. Paginated automatically. Sort by newest or most up-voted.
• Profile — the user's profile object (name, headline, avatar, follower / answer counts, etc.). One record per user.
• Followers / Followees — the people who follow, or are followed by, the user.
• Columns — the columns the user follows.

Input

Example input

{
"userUrlTokens":["kaifulee"],
"contentType":"articles",
"sortType":"voteups",
"maxItems":50
}

Output

One dataset item per record. Articles look like:

{
"id":"606602766",
"type":"article",
"title":"ChatGPT引发失业恐慌？这20种工作要避开！",
"excerpt":"OpenAI新近推出的ChatGPT已经爆火出圈 ...",
"content":"<p>...full HTML body...</p>",
"url":"http://zhuanlan.zhihu.com/p/606602766",
"articleType":"normal",
"voteupCount":354,
"commentCount":124,
"created":1676559521,
"updated":1676559615,
"author":{"id":"...","name":"李开复","urlToken":"kaifulee","headline":"..."},
"authorName":"李开复",
"userUrlToken":"kaifulee",
"source":"articles:kaifulee"
}

Other content types share the same flat shape (id, type, title, url, authorName, …) with mode-specific fields (e.g. followerCount for profiles, itemsCount for columns).

Notes

• Data is sourced live; the upstream occasionally emits transient blocks and an intermittent 400, so the Actor retries with exponential backoff.
• Records are de-duplicated by id within a run.