Zhihu Scraper (知乎) | Search, Answers, Comments & Profiles (2026)

Zhihu (知乎), unlocked. Rich data at speed. Built for serious research.

Zen Studio Chinese Social · Research across platforms
知 Zhihu ↗ ➤ You are here	Weibo Search ↗ Posts, authors, engagement	RedNote Search ↗ Notes, images, engagement	Douyin Search ↗ Videos, creators, music

Copy to your AI assistant

zen-studio/zhihu-scraper on Apify. Collects Zhihu search, content, conversations and creators. Call ApifyClient("TOKEN").actor("zen-studio/zhihu-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Choose one operation per run. Full spec: GET https://api.apify.com/v2/acts/zen-studio~zhihu-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Token: https://console.apify.com/account/integrations

What can this Zhihu scraper collect? · 采集范围

• Zhihu keyword search · 关键词搜索: discover answers and articles with content-type, recency, and sorting filters.
• Zhihu answers and comments · 回答与评论: collect available text, author details, engagement, and optional reply threads from content URLs.
• Zhihu creators and trends · 用户与热榜: inspect public profiles, published articles, and ranked hot-list questions.

Operation	Input	Results
search · 内容搜索	Keywords	Matching answers, articles, profiles, questions, and videos where available
question_answers · 问题回答	Question URLs or IDs	Available answers with content, authors, and engagement
content_detail · 内容详情	Answer, article, question, or pin URLs	Individual content records
comments · 评论	Answer, article, or pin URLs	Top-level comments, optionally including replies
comment_replies · 评论回复	comment_id values from a Comments run	Replies to those comments
user_profile · 用户资料	Profile URLs or URL tokens	Creator profiles and available activity counts
user_content · 用户文章	Profile URLs or URL tokens	Published articles only
hot_list · 知乎热榜	No target required	Ranked trending questions

Scope: Question-answer continuation is currently limited. The Actor can collect an initial batch of up to 100 entries, but cannot guarantee a complete answer list. If continuation fails, the run summary marks that target as partial.

Creator answer feeds and standalone /zvideo/ detail URLs are not supported. Pin video URLs are supported.

How to scrape Zhihu data · 快速开始

1. Open Zhihu Scraper and choose an operation in the Input tab.
2. Enter keywords, supported URLs, or IDs. Set both result limits in the first section; start with 20 total results.
3. Run the Actor, inspect its dataset view, and download JSON, CSV, Excel, or HTML.

The same form works without writing code. Developers can submit identical input through the Apify API.

Search · 内容搜索: collect relevant discussions

{
  "operation": "search",
  "keywords": ["人工智能"],
  "max_items": 20
}

Details · 内容详情: collect an article

{
  "operation": "content_detail",
  "urls": ["https://zhuanlan.zhihu.com/p/2032860336215307118"],
  "include_markdown": true
}

Comments · 评论: collect a discussion with replies

{
  "operation": "comments",
  "urls": ["https://zhuanlan.zhihu.com/p/2032860336215307118"],
  "comment_sort": "popular",
  "include_replies": true,
  "max_items": 20
}

Enable Include replies · 包含回复 to collect comments and their replies in one run. No comment IDs are needed. Leave it off for top-level comments only.

Comments and replies share the same total, per-URL, and spending limits. A limit of 20 means at most 20 rows combined, not 20 comments plus extra replies. Each saved row has the same result price. Threads follow their parent comments, so small limits may stop partway through a thread.

Specific replies · 指定评论回复: use IDs from a Comments run

Run Comments with a content URL first. In its dataset, select top-level comments with reply_count greater than zero and pass their comment_id values into comment_ids:

{
  "operation": "comment_replies",
  "comment_ids": ["11460175497"],
  "max_items": 20,
  "max_per_target": 20
}

An AI assistant or automation can copy these values directly between runs. No manual ID lookup on Zhihu is needed. Keep IDs as strings, including quotation marks in JSON. This targeted operation collects replies only; include_replies does not affect it. Its results are saved and billed in their own run.

Zhihu scraper input parameters · 输入参数

Parameter	Default	Purpose
operation	search	One operation from the table above
keywords	None	Search terms, up to 100
max_items	100	Run-wide maximum, from 1 to 10,000
max_per_target	100	Maximum for each keyword, URL, or comment ID, from 1 to 10,000
urls	None	Target URLs or IDs, up to 100
include_replies	false	Comments only: include replies as separate rows within the same result limits
comment_ids	None	Top-level comment_id values from a Comments run
content_type	all	Search filter or type of a bare numeric content ID
sort	relevance	Search order: relevance, upvotes, or newest
publish_time_range	all	Search period: all, day, week, month, three_months, half_year, or year
comment_sort	popular	Comment order: popular or newest
include_html	true	Include cleaned HTML alongside plain text
include_markdown	false	Also include Markdown text

Search accepts content types all, answer, article, and video. For numeric detail IDs, select answer, article, question, or pin. Full URLs identify their own type.

The Console example prefills 20 results. Programmatic input defaults to 100 when max_items is omitted.

A target is one keyword, one content/profile URL, or one comment ID. Hot list uses one list. Both result limits are visible together in the first form section: max_items caps the whole run; max_per_target caps each individual input.

To collect up to 500 results from one keyword, set both limits to 500. Increasing only the total still leaves the default 100-per-target cap in place. Limits are ceilings, not promises of availability; budget and free-plan limits also apply.

What data can you extract from Zhihu?

Content records contain an exact string ID, content type, canonical URL, title or text, available engagement counts, and author fields. Detail records can include images, topics, and video metadata.

Comments and replies have comment_id, text, author fields, timestamps, and available counts. Replies include parent_comment_id so you can join them to the first-level comments. With include_replies: true, both row types have operation: "comments"; use record_type to distinguish them. Each reply also retains its original content ID and URL. The Comments and replies table view shows these links.

Profiles use user_id, url_token, name, profile_url, and available biography and activity fields. Self-reported gender codes retain their original values (0: female, 1: male, -1: not specified), with a readable gender_label for recognized codes. Nothing is inferred from names or photos. Every record includes record_type, operation, and scraped_at.

Fields that are unavailable or do not apply are omitted, not filled with nulls. Genuine zero counts and false flags are retained. Missing counts do not mean zero.

Use the operation's table view for a focused export, or All fields to inspect the full schema. Search can return different content types in the same run; use record_type and content_type to distinguish them.

The Run summary reports saved item counts, failed targets, skipped unreadable records, partial results, and whether an input, trial, or spending limit was reached.

Good records remain saved when another record or target fails. Summary records are not billed as scraped results.

Complete Zhihu output examples

These are real rows collected on September 10, 2026. Every key and value in each selected row is included, without shortened text or arrays.

Field availability varies between records. These examples are not a promise that every field appears in every operation.

Search result: this answer matched 人工智能 in the search above.

{
  "record_type": "content",
  "content_id": "2063420040297308669",
  "content_type": "answer",
  "content_url": "https://www.zhihu.com/question/2042649810709239000/answer/2063420040297308669",
  "title": "为什么体制内至今仍不鼓励用人工智能？",
  "summary": "相反，体制内一开始很鼓励探索使用人工智能，特别是deepseek刚出来那会，各地政府纷纷关注，几个月之内就上线了一批本地模型",
  "content": "相反，体制内一开始很鼓励探索使用人工智能，特别是deepseek刚出来那会，各地政府纷纷关注，几个月之内就上线了一批本地模型。\n说到这，直接断了某些擅长政商关系的企业发财路子，之前这些企业就是准备靠个拉跨的闭源大模型，用精美PPT、宏大愿景和公关营销手段收割地方政府。\n至于为什么目前不太鼓励，其他回答都说的很到位了。",
  "content_html": "<p>相反，体制内一开始很鼓励探索使用人工智能，特别是deepseek刚出来那会，各地政府纷纷关注，几个月之内就上线了一批本地模型。</p><p>说到这，直接断了某些擅长政商关系的企业发财路子，之前这些企业就是准备靠个拉跨的闭源大模型，用精美PPT、宏大愿景和公关营销手段收割地方政府。</p><p>至于为什么目前不太鼓励，其他回答都说的很到位了。</p>",
  "author_user_id": "3532c75b53b9aa5c1327a0eeb953ab33",
  "author_name": "长歌当行",
  "author_url_token": "zai-ping-lun-wo-jiu-shi-zhu",
  "author_profile_url": "https://www.zhihu.com/people/zai-ping-lun-wo-jiu-shi-zhu",
  "author_avatar_url": "https://picx.zhimg.com/50/v2-2bebe6ea3e0e88eaaa9deb73a71b2b59_l.jpg?source=4e949a73",
  "author_bio": "重要吗？不重要。",
  "author_follower_count": 363,
  "question_id": "2042649810709239000",
  "question_url": "https://www.zhihu.com/question/2042649810709239000",
  "upvote_count": 2130,
  "comment_count": 50,
  "answer_count": 592,
  "publish_time": 1784737674,
  "update_time": 1784737674,
  "operation": "search",
  "scraped_at": "2026-09-10T06:25:25.190110+00:00",
  "query_keyword": "人工智能"
}

Question detail: input {"operation":"content_detail","urls":["21277368"],"content_type":"question","include_markdown":true}.

{
  "record_type": "content",
  "content_id": "21277368",
  "content_type": "question",
  "content_url": "https://www.zhihu.com/question/21277368",
  "title": "如何自学人工智能？",
  "summary": "零基础自学人工智能，希望能推荐下学习路径。 基础只有兴趣，不要说不可能。 兴趣为解决人类智能缘起的问题。",
  "content": "零基础自学人工智能，希望能推荐下学习路径。\n\n基础只有兴趣，不要说不可能。\n\n兴趣为解决人类智能缘起的问题。",
  "content_html": "零基础自学人工智能，希望能推荐下学习路径。<br/><br/>基础只有兴趣，不要说不可能。<br/><br/>兴趣为解决人类智能缘起的问题。",
  "content_markdown": "零基础自学人工智能，希望能推荐下学习路径。  \n  \n基础只有兴趣，不要说不可能。  \n  \n兴趣为解决人类智能缘起的问题。",
  "question_id": "21277368",
  "question_url": "https://www.zhihu.com/question/21277368",
  "comment_count": 13,
  "view_count": 4801869,
  "answer_count": 632,
  "follower_count": 20836,
  "publish_time": 1372670299,
  "update_time": 1372670467,
  "operation": "content_detail",
  "scraped_at": "2026-09-10T06:25:37.072288+00:00",
  "input_url": "https://www.zhihu.com/question/21277368"
}

Video pin detail: input {"operation":"content_detail","urls":["https://www.zhihu.com/pin/2080624622454813370"],"include_markdown":true}. Playback URLs can expire.

{
  "record_type": "content",
  "content_id": "2080624622454813370",
  "content_type": "pin",
  "content_url": "https://www.zhihu.com/pin/2080624622454813370",
  "title": "AI人工智能的福利来了！ | #人工智能 #机器人 #AI智能体 #元宇宙大模型 #自动驾驶 #我的有痛开学 #元宇宙模型 #科技前沿 #智能革命 #科学梗图 414号文件要求加速人工智能应用并大规模发展！",
  "content": "AI人工智能的福利来了！ | #人工智能 #机器人 #AI智能体 #元宇宙大模型 #自动驾驶 #我的有痛开学 #元宇宙模型 #科技前沿 #智能革命 #科学梗图 414号文件要求加速人工智能应用并大规模发展！",
  "content_html": "AI人工智能的福利来了！ | <p><a href=\"https://www.zhihu.com/topic/19551275\">#人工智能</a> <a href=\"https://www.zhihu.com/topic/19551273\">#机器人</a> <a href=\"https://www.zhihu.com/topic/28266286\">#AI智能体</a> <a href=\"https://www.zhihu.com/topic/2080625086252564493\">#元宇宙大模型</a> <a href=\"https://www.zhihu.com/topic/19635352\">#自动驾驶</a> <a href=\"https://www.zhihu.com/topic/2074558476941005863\">#我的有痛开学</a> <a href=\"https://www.zhihu.com/topic/29820441\">#元宇宙模型</a> <a href=\"https://www.zhihu.com/topic/26611258\">#科技前沿</a> <a href=\"https://www.zhihu.com/topic/30694025\">#智能革命</a> <a href=\"https://www.zhihu.com/topic/2080338645668585602\">#科学梗图</a> 414号文件要求加速人工智能应用并大规模发展！</p>",
  "content_markdown": "AI人工智能的福利来了！ |\n\n[#人工智能](https://www.zhihu.com/topic/19551275) [#机器人](https://www.zhihu.com/topic/19551273) [#AI智能体](https://www.zhihu.com/topic/28266286) [#元宇宙大模型](https://www.zhihu.com/topic/2080625086252564493) [#自动驾驶](https://www.zhihu.com/topic/19635352) [#我的有痛开学](https://www.zhihu.com/topic/2074558476941005863) [#元宇宙模型](https://www.zhihu.com/topic/29820441) [#科技前沿](https://www.zhihu.com/topic/26611258) [#智能革命](https://www.zhihu.com/topic/30694025) [#科学梗图](https://www.zhihu.com/topic/2080338645668585602) 414号文件要求加速人工智能应用并大规模发展！",
  "author_user_id": "d8453d3fc61ff5955ba3857cfe8e5a85",
  "author_name": "曾盛华ZOZOFA甑发",
  "author_url_token": "zozofa",
  "author_profile_url": "https://www.zhihu.com/people/zozofa",
  "author_avatar_url": "https://pica.zhimg.com/v2-aa79ea058a3fb469807b433cabe906df_720w.jpg?source=8a6f5038&needBackground=1",
  "author_bio": "元宇宙生态链商业模式专家、工业设计、软硬件开发、数字化转型",
  "author_follower_count": 36,
  "author_verification_label": "元宇宙生态链商业模式专家、工业设计、软硬件开发、数字化转型",
  "like_count": 0,
  "comment_count": 0,
  "collect_count": 0,
  "publish_time": 1788839676,
  "update_time": 1788839676,
  "topics": [
    {
      "id": "2080338645668585602",
      "name": "科学梗图"
    },
    {
      "id": "30694025",
      "name": "智能革命"
    },
    {
      "id": "26611258",
      "name": "科技前沿"
    },
    {
      "id": "29820441",
      "name": "元宇宙模型"
    },
    {
      "id": "2074558476941005863",
      "name": "我的有痛开学"
    },
    {
      "id": "19635352",
      "name": "自动驾驶"
    },
    {
      "id": "2080625086252564493",
      "name": "元宇宙大模型"
    },
    {
      "id": "28266286",
      "name": "AI智能体"
    },
    {
      "id": "19551273",
      "name": "机器人"
    },
    {
      "id": "19551275",
      "name": "人工智能"
    }
  ],
  "media_type": "video",
  "video_play_url": "https://vdn3.vzuu.com/HD/c06b262c-ab38-11f1-89d9-c64149588a81-v4_f2_t2_8ZQEpFLQ.mp4?auth_key=1789025137-0-0-95f21ced13ceadc18a7821dba4f8781e&bu=3a8548f7&c=avc.4.0&disable_local_cache=1&expiration=1789025137&f=mp4&pu=3a8548f7&v=tx",
  "video_duration_seconds": 36,
  "video_width": 720,
  "video_height": 1280,
  "operation": "content_detail",
  "scraped_at": "2026-09-10T06:25:37.072314+00:00",
  "input_url": "https://www.zhihu.com/pin/2080624622454813370"
}

Comment: from the article-comments input above.

{
  "record_type": "comment",
  "comment_id": "11472791656",
  "content_id": "2032860336215307118",
  "content_type": "article",
  "content_url": "https://zhuanlan.zhihu.com/p/2032860336215307118",
  "content": "用现代模型做sft不就已经污染了。。",
  "content_html": "用现代模型做sft不就已经污染了。。",
  "author_user_id": "9a712c9b919973a61ac06162f7fe90c1",
  "author_name": "咸蛋",
  "author_url_token": "xian-dan-61-21",
  "author_profile_url": "https://www.zhihu.com/people/xian-dan-61-21",
  "author_avatar_url": "https://pic1.zhimg.com/76aef132b14be7b15951487fa6180a24_l.jpg?source=06d4cd63",
  "author_bio": "游戏美术设计",
  "like_count": 51,
  "reply_count": 0,
  "is_pinned": false,
  "is_author_comment": false,
  "publish_time": 1777453504,
  "operation": "comments",
  "scraped_at": "2026-09-10T06:25:39.693226+00:00",
  "input_url": "https://zhuanlan.zhihu.com/p/2032860336215307118"
}

Reply: input {"operation":"comment_replies","comment_ids":["11460175497"],"max_items":3}.

{
  "record_type": "reply",
  "comment_id": "11502859456",
  "content_type": "answer",
  "parent_comment_id": "11460175497",
  "reply_to_comment_id": "11460175497",
  "content": "正常正常，心态崩的这一刻，系统性学习就算正式开始了[滑稽]",
  "content_html": "正常正常，心态崩的这一刻，系统性学习就算正式开始了[滑稽]",
  "author_user_id": "4aff31fcd26581b884c62fe3880b525b",
  "author_name": "啦啦啦啦",
  "author_url_token": "11-11-98-14",
  "author_profile_url": "https://www.zhihu.com/people/11-11-98-14",
  "author_avatar_url": "https://pic1.zhimg.com/v2-2ef8da61f9fd3376b0757aa59bee2f80_l.jpg?source=06d4cd63",
  "author_bio": "AI 工具评测｜已发2篇SCI 1区论文｜外企研发工作｜副业领航者",
  "author_verification_label": "广西大学 机械硕士",
  "like_count": 12,
  "reply_count": 0,
  "is_pinned": false,
  "is_author_comment": false,
  "publish_time": 1780973299,
  "operation": "comment_replies",
  "scraped_at": "2026-09-10T06:25:41.160916+00:00"
}

Creator profile: input {"operation":"user_profile","urls":["11-11-98-14"]}.

{
  "record_type": "profile",
  "user_id": "4aff31fcd26581b884c62fe3880b525b",
  "name": "啦啦啦啦",
  "url_token": "11-11-98-14",
  "profile_url": "https://www.zhihu.com/people/11-11-98-14",
  "avatar_url": "https://pic1.zhimg.com/v2-2ef8da61f9fd3376b0757aa59bee2f80_xl.jpg?source=32738c0c&needBackground=1",
  "bio": "AI 工具评测｜已发2篇SCI 1区论文｜外企研发工作｜副业领航者",
  "follower_count": 10044,
  "verification_label": "广西大学 机械硕士",
  "gender": 0,
  "gender_label": "female",
  "answer_count": 242,
  "article_count": 109,
  "is_organization": false,
  "ip_region": "IP 属地广东",
  "employments": [
    {
      "job": "清华大学联培",
      "company": "北京五道口中关村科技园"
    }
  ],
  "operation": "user_profile",
  "scraped_at": "2026-09-10T06:34:15.658237+00:00",
  "input_url": "https://www.zhihu.com/people/11-11-98-14"
}

Public ip_region is a platform-provided region label, not a precise location or home address. Employment names are self-reported. Do not treat either as independently verified identity information.

Zhihu API workflows and monitoring

Connect keyword research, creator analysis, and comment analysis across separate runs.

Answers: collect a question's available responses

{
  "operation": "question_answers",
  "urls": ["21277368"],
  "max_items": 20
}

Creators: collect published articles

{
  "operation": "user_content",
  "urls": ["https://www.zhihu.com/people/11-11-98-14"],
  "max_items": 20
}

Use user_profile with the same input to collect the creator's profile instead. Use comment_replies with comment_ids taken from a comments run to retrieve replies separately.

Trends · 知乎热榜: collect the current hot list

{
  "operation": "hot_list",
  "max_items": 30
}

The number of available hot-list entries can be lower than your requested limit.

How much does it cost to scrape Zhihu?

Saved-result charges: $2.99 per 1,000 results. See the Actor's Pricing tab for applicable platform events and your account's current rate.

One result means one saved content, comment, reply, or profile record. Duplicates within a run and failed lookups do not produce a result charge. An empty run can still incur platform charges.

Free-plan access is limited to 25 results per run and 100 lifetime results. These are access limits, not a separate promise that usage is unbilled; applicable charges use your Apify balance or credits.

Free-plan runs process the first keyword or target only and use a bounded collection window. There is no lifetime run-count cap, and completed empty runs do not consume the result allowance. Runs may finish below the requested result limit; check the Run summary. If a run is interrupted before its saved results can be confirmed, its reserved allowance may count toward the lifetime limit.

How to automate Zhihu research

Schedule keyword searches daily with sort: "newest" and publish_time_range: "day" for topic monitoring. A six-hour hot-list schedule can capture changes in ranked discussions. Scheduling is optional; no recurring runs are enabled automatically.

Use Google Sheets for review, Make or Zapier for downstream workflows, and webhooks to notify your system when a run finishes. Keep collection and analysis separate so you can retry analysis without collecting the same data again.

For history, retain each dataset with its run ID and collection time. Join snapshots using string IDs and compare the same operation across dates. An engagement change is a snapshot difference, not proof of exactly when an interaction happened.

Official Apify walkthrough: set up and run an Actor

Official Apify walkthrough: schedule an Actor

Zhihu scraping FAQ · 常见问题

Is there a Zhihu API for public search and Q&A data?

This Actor provides access through the Apify API; it is not an official Zhihu product. Supported operations and output fields are described here and in the Input tab. Private content, account actions, and unrestricted archival access are outside its scope.

How can I get Zhihu comments from high-vote answers?

Search with content_type: "answer" and sort: "upvotes". Pass selected answer URLs to a separate comments run with include_replies: true to include reply threads. Use comment_replies and selected comment_id values when you want only specific threads. Each run saves and charges its own records.

Can I use this Zhihu scraper from Python?

Yes. Use the Apify Python client or ordinary HTTP requests to start a run and retrieve its dataset. The API tab provides language-specific examples; the AI-assistant block links to the complete input/output specification.

What limits should I use for reliable Zhihu collection?

Begin with 20 results, inspect the output, then increase the limits. Availability and runtime depend on the operation and target. Avoid overlapping schedules that collect the same topic unnecessarily; use a maximum run charge as an additional budget ceiling.

What is Zhihu?

Zhihu, written 知乎 and pronounced Zhīhū, is a Chinese question-and-answer and publishing platform. Its name roughly means “do you know?”

Do I need a Zhihu account or cookies?

No. Supply keywords, public URLs, or supported IDs. Do not include passwords or cookies in your input.

Can I download everything from a question?

Not reliably in this version. Initial answer batches work, but continuation may stop early. Check partial and failed_targets in the run summary.

Does creator content include answers?

No. user_content returns articles. To collect answers, use question_answers for a known question or content_detail for known answer URLs.

Does search include full text?

Search results can contain excerpts or truncated content. Run returned content_url values through content_detail when you need the available detail text. That second run produces separately billed records.

Are replies included automatically?

Not by default. Enable Include replies · 包含回复 with the Comments operation to collect them automatically from content URLs. Replies are separate rows, linked by parent_comment_id, and count toward the same result and spending limits. If a thread cannot be completed, available rows are kept and the run summary flags partial results. The separate Comment replies operation remains available for collecting specific threads by ID.

Why do counts differ between operations?

Different views of a record can expose different fields or update at different times. A missing field means it was unavailable in that response.

Why did I receive fewer results than requested?

There may be fewer public matches, duplicates, unavailable targets, or collection limits. A valid empty result is different from a failed request; failures appear in the summary.

How are duplicates handled?

Records are deduplicated within each run. A restarted run can repeat records if interruption occurs between saving data and saving progress.

Targets complete concurrently. When keywords overlap, query_keyword keeps the first saved match. Separate runs are not deduplicated against one another.

How do I export results?

Export the dataset as JSON, CSV, Excel, or HTML in Apify. JSON best preserves arrays such as images and topics. Content IDs remain strings to preserve long identifiers. Publication timestamps are Unix seconds; scraped_at is ISO 8601 UTC.

Is collecting this data automatically legal?

Public availability is not blanket permission. Check Zhihu's terms and the laws applicable to your use. Creator names, profiles, and comments can contain personal data; consider applicable requirements under PIPL, GDPR, and CCPA.

Support

Use the Actor's Issues tab for bugs, feature requests, or a custom collection workflow. Include the operation, affected public URL, and run summary. Never include account credentials.

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Zhihu (知乎) scraper and API for keyword search, answers, articles, comments, replies, creator profiles, and trending questions.