Zhihu 知乎 Scraper - Answers, Articles, Comments & Hot List

Zhihu Scraper (知乎) is a Zhihu API that collects public data from Zhihu as clean, flat JSON. You can search Zhihu answers, articles and pins by keyword, get every answer under a question, comments and replies, the hot list, user profiles, a user's answers, articles and pins, followers and followings, and the full text of any answer or article. It is made for market researchers, brand and trend monitors, people looking for experts and influencers, and AI and data teams who need long-form Chinese text with clean metadata. No Zhihu account, API keys, proxies or cookies are needed.

What is Zhihu?

Zhihu (知乎) is a Chinese question-and-answer website. Users ask questions, write long answers, publish articles and share short posts called pins, and the site keeps a hot list of trending questions. Because answers and articles are often long and detailed, Zhihu is useful for research on Chinese-language opinions and expert text.

What data can you get?

The Actor has thirteen modes in one place: content, discussion, people, search words and trends.

Mode	Give it	You get
search	a keyword (optional: result type, sort, time range)	answers, articles and pins matching the keyword, with full text; or users, topics, columns, videos, ebooks or scholarly papers (result type)
question	question links or IDs (optional: order, include the question itself)	the answers of each question, up to 200 per question, optionally with the question's own views, followers and answer count first
comments	answer links or IDs, or pin links (optional: sort, include replies)	the comments under each answer or pin, with IP location and likes
replies	comment IDs	all replies under a comment
hot	nothing	the hot list: rank, heat, answer and follower counts
user	profile links or names	one profile per user: headline, followers, answers, articles, IP location
userContent	profile links or names (optional: answers / articles / pins, or the columns, questions, collections and topics the user follows; sort)	everything a user published, with full text, or what the user follows
followers	profile links or names	the followers of each account, as user records
following	profile links or names	the accounts each account follows, as user records
detail	answer, article or pin links	the full text of each answer, article or pin
column	column links or IDs	the articles of each column
trendingSearches	nothing	the words Zhihu pre-fills in its search box and the discovery words under it
suggest	a keyword	the completions Zhihu offers for the keyword
saltSearch	a keyword	paid-column (Salt) chapters and stories matching the keyword
relatedArticles	article links or IDs	the articles Zhihu recommends next to each article
homeFeed	nothing	the recommended items of Zhihu's home feed
userIncludedArticles	profile links or names	the articles included in each account's collection of featured articles
recommendedFollowees	nothing	accounts Zhihu suggests to follow

Every record has a type field: answer, article, pin, video, comment, user, question, column, collection, topic, ebook, paper, searchTerm or saltContent. In the Apify Console the dataset also has ready-made table views: Answers, Articles, Comments, Users and Hot list.

Other Zhihu record types (new search types, columns, followed lists, search words)

Type	Fields
user (search type users)	the user fields below, plus voteupCount
topic	topicId, url, name, excerpt, avatar, followerCount, questionCount, visitCount
column	columnId, url, title, excerpt, imageUrl, followerCount, articleCount, voteupCount, updatedAt and the author fields
video (search type videoPosts)	the pin fields, plus title and durationSeconds
ebook (search type ebooks)	ebookId, url, title, excerpt, authors, imageUrl, isChapter (a hit can be one chapter of a book), createdAt (publication time)
paper (search type papers)	paperId, url, title, excerpt (abstract excerpt), authors, keywords, journal, year, volume, issue, indexedBy
collection	collectionId, url, title, excerpt, answerCount, followerCount, commentCount, createdAt, updatedAt and the author fields (the creator)
question (question lookup, followed questions)	questionId, url, title, text (the question's description), answerCount, followerCount, commentCount, visitCount, createdAt, updatedAt
saltContent (saltSearch mode)	contentId, contentKind, url, title, excerpt, author, sourceTitle (the paid column or story), statusLabel, imageUrl, createdAt, topics
searchTerm	term, rank, termSource (preset, discover or suggest), label (for example hot), url (the Zhihu search page)

Followed items carry sourceUser, the account whose list they come from. Articles listed by column mode carry sourceColumn. Comments of a pin carry pinId. Articles listed by relatedArticles carry sourceArticle, articles listed by userIncludedArticles carry sourceUser, and accounts listed by recommendedFollowees are user records with recommendReason. homeFeed returns answer, article and pin records.

Zhihu answers, articles and pins

Field	What it is
text	Full text as plain text, paragraphs separated by line breaks (not a snippet)
questionTitle	Title of the question an answer belongs to (answer)
title	Title of the record: for an answer, the title of its question
voteupCount	Upvotes (answer, article)
likeCount	Likes (pin)
commentCount	Number of comments (answer, article, pin)
favoriteCount	Number of times saved to a collection (answer, article, pin)
createdAt, updatedAt	Dates in ISO 8601 UTC
answerId, articleId, pinId, questionId	IDs of the record (an answer also carries its questionId)
url	Link on zhihu.com
excerpt	Short excerpt (answer, article)
topics	Topic names (article, pin)
imageUrl	Cover image (article)

Zhihu author fields (on answers, articles, pins and comments)

Field	What it is
author	Author's display name
authorId	Author's Zhihu user ID; null for anonymous authors
authorUrlToken	Author's profile name (the part after /people/); null for anonymous authors
authorAvatar	Avatar image URL
authorHeadline	One-line headline
authorGender	male or female; null when not set
authorFollowerCount	Follower count where the response carries it
authorVerification	Verification text, for example a certified occupation
authorIpLocation	IP location where Zhihu shows it (comments, replies and articles opened with detail)

Zhihu comments and replies

Field	What it is
text	Comment text
likeCount	Likes
replyCount	Number of replies under the comment
commentId	Comment ID (use it as input for replies mode)
answerId	The answer the comment belongs to (comments mode)
parentCommentId	The comment this one replies to; null for top-level comments
replyToCommentId	Set when a reply answers another reply rather than the top-level comment
isPinned	True when the content author pinned the comment
isByContentAuthor	True when the comment was written by the author of the answer or article
createdAt	Date in ISO 8601 UTC

Comments carry the author fields above, including authorIpLocation. Comments have no url.

Zhihu users

Field	What it is
userId	Zhihu user ID
userUrlToken	Profile name (the part after /people/)
name	Display name
headline	One-line headline
followerCount	Number of followers
answerCount	Answers written
articleCount	Articles written
ipLocation	IP location shown on the profile (profile lookups only)
gender	male or female; null when not set
avatar	Avatar image URL
verification	Verification text
isOrganization	Organization account
isVip	Zhihu membership
url	Profile link
sourceUser	Profile name of the account whose followers or followings these are (followers and following modes)

Zhihu hot list questions

Field	What it is
rank	Position on the hot list
title	Question title
heat	Heat as a number
heatText	Heat as Zhihu shows it, for example "1215 万热度"
answerCount	Number of answers
followerCount	Number of followers of the question
excerpt	Short excerpt
createdAt	Question creation date in ISO 8601 UTC
questionId, url	Question ID and link

How to use Zhihu Scraper

1. Open Zhihu Scraper in the Apify Console.
2. Choose a Mode, for example "Search answers, articles and pins by keyword" or "Hot list".
3. Fill in the fields for that mode. Each field's title says which mode reads it; other fields are ignored.
4. Set Max results to cap how many items (and how much money) the run can use.
5. Click Start and wait for the run to finish.
6. Open the dataset and export it as JSON, CSV, Excel or another format, or read it through the API.

An empty input {} also works: it searches Zhihu for "python".

Input

Only mode is required. The list fields are prefilled with an example in the form.

Field	Type	Required	What it does	Default
mode	string	Yes	What to scrape: search, question, comments, replies, hot, user, userContent, followers, following, detail, column, trendingSearches, suggest, saltSearch, relatedArticles, homeFeed, userIncludedArticles, recommendedFollowees	search
keyword	string	Optional (search, suggest, saltSearch)	Search keyword, Chinese or English; falls back to "python" when empty	none
searchType	string	Optional (search)	all (answers, articles and pins), answers, articles, or one of users, topics, columns, videoPosts, ebooks, papers. sort and timeRange apply only to all, answers and articles	all
sort	string	Optional (search)	relevance (Zhihu's default ranking), votes (most upvoted) or newest	relevance
timeRange	string	Optional (search)	Only content published within any, day, week, month, 3months, 6months or year	any
questions	array	Optional (question)	Question links (https://www.zhihu.com/question/<id>) or question IDs; up to 200 answers per question	none
answerOrder	string	Optional (question)	default (Zhihu's order) or newest (most recently updated first)	default
includeQuestionDetail	boolean	Optional (question)	Output the question itself (description, views, followers, answer count) before its answers; one more result per question	false
answers	array	Optional (comments)	Answer links (https://www.zhihu.com/question/<id>/answer/<id>) or answer IDs; pin links (https://www.zhihu.com/pin/<id>) read the comments of a pin	none
columns	array	Optional (column)	Column links (https://zhuanlan.zhihu.com/<id>) or the ID after it	none
articles	array	Optional (relatedArticles)	Article links (https://zhuanlan.zhihu.com/p/<id>) or article IDs	none
commentIds	array	Optional (replies)	Comment IDs (the commentId of a comment) to fetch all replies of	none
commentSort	string	Optional (comments, replies)	hot (hottest first) or newest	hot
includeReplies	boolean	Optional (comments)	Also output the first replies Zhihu shows under each comment (not the full list); each reply is one more result	false
users	array	Optional (user, userContent, followers, following, userIncludedArticles)	Profile links (https://www.zhihu.com/people/<name>) or the name after /people/	none
userContentType	string	Optional (userContent)	answers, articles, pins, or what the user follows: followedColumns, followedQuestions, followedCollections, followedTopics	answers
userContentSort	string	Optional (userContent)	newest or votes (answers and articles only; pins and followed lists have no sort)	newest
links	array	Optional (detail)	Answer links, article links (https://zhuanlan.zhihu.com/p/<id>) or pin links (https://www.zhihu.com/pin/<id>)	none
maxResults	integer	Optional	Maximum number of items in total for this run, 1 to 5000. You are charged per item returned	20

maxResults is the total across all inputs in the run; a run stops as soon as it is reached.

Search Zhihu answers by keyword

{
  "mode": "search",
  "keyword": "新能源汽车",
  "searchType": "answers",
  "sort": "votes",
  "timeRange": "year",
  "maxResults": 100
}

All Zhihu answers of a question

{
  "mode": "question",
  "questions": ["https://www.zhihu.com/question/614920801"],
  "answerOrder": "default",
  "maxResults": 100
}

Zhihu comments of an answer, with first replies

{
  "mode": "comments",
  "answers": ["https://www.zhihu.com/question/614920801/answer/3174177021"],
  "commentSort": "hot",
  "includeReplies": true,
  "maxResults": 100
}

All Zhihu replies to a comment

{
  "mode": "replies",
  "commentIds": ["10655110604"],
  "commentSort": "newest",
  "maxResults": 50
}

Zhihu hot list

{
  "mode": "hot",
  "maxResults": 30
}

Zhihu user profiles and followers

{
  "mode": "user",
  "users": ["excited-vczh"],
  "maxResults": 10
}

{
  "mode": "followers",
  "users": ["https://www.zhihu.com/people/excited-vczh"],
  "maxResults": 200
}

A Zhihu user's articles, most upvoted first

{
  "mode": "userContent",
  "users": ["https://www.zhihu.com/people/excited-vczh"],
  "userContentType": "articles",
  "userContentSort": "votes",
  "maxResults": 50
}

Full text of Zhihu answers and articles

{
  "mode": "detail",
  "links": [
    "https://zhuanlan.zhihu.com/p/2075952075796759957",
    "https://www.zhihu.com/question/614920801/answer/3174177021"
  ],
  "maxResults": 10
}

Other Zhihu searches: users, topics, columns, videos, ebooks, papers

{
  "mode": "search",
  "keyword": "咖啡",
  "searchType": "columns",
  "maxResults": 40
}

A Zhihu column's articles

{
  "mode": "column",
  "columns": ["https://zhuanlan.zhihu.com/vinca520"],
  "maxResults": 50
}

The text of an article in a column listing can be cut short; use detail mode with the article link for the full text.

What a Zhihu user follows

{
  "mode": "userContent",
  "users": ["excited-vczh"],
  "userContentType": "followedQuestions",
  "maxResults": 50
}

Zhihu paid-column (Salt) content search

{
  "mode": "saltSearch",
  "keyword": "投资",
  "maxResults": 40
}

Zhihu articles related to an article

{
  "mode": "relatedArticles",
  "articles": ["https://zhuanlan.zhihu.com/p/669214677"],
  "maxResults": 24
}

Zhihu home feed and recommended accounts

{
  "mode": "homeFeed",
  "maxResults": 30
}

recommendedFollowees takes no input either. Zhihu has no next page for it: each request brings a fresh batch of accounts, and the run stops at maxResults or when a batch brings nobody new.

Zhihu articles included for a user

{
  "mode": "userIncludedArticles",
  "users": ["excited-vczh"],
  "maxResults": 50
}

Zhihu search words: what is searched, and completions

{
  "mode": "trendingSearches",
  "maxResults": 50
}

{
  "mode": "suggest",
  "keyword": "咖啡",
  "maxResults": 20
}

trendingSearches returns about 30 preset words and 12 discovery words (42 in total, so set maxResults to 42 or more); they change through the day. suggest returns about 10 completions.

A Zhihu question with its own numbers, and pins

{
  "mode": "question",
  "questions": ["https://www.zhihu.com/question/614920801"],
  "includeQuestionDetail": true,
  "maxResults": 100
}

{
  "mode": "comments",
  "answers": ["https://www.zhihu.com/pin/2088708186954121961"],
  "maxResults": 50
}

Output example

The values below are illustrative samples.

Zhihu answer (search, question, userContent)

{
  "type": "answer",
  "answerId": "1234567890",
  "url": "https://www.zhihu.com/question/123456789/answer/1234567890",
  "questionId": "123456789",
  "questionTitle": "学习 Python 需要多长时间？",
  "text": "这是一个示例回答的第一段。\n这是第二段。",
  "excerpt": "这是一个示例回答的第一段。",
  "voteupCount": 1250,
  "commentCount": 86,
  "favoriteCount": 430,
  "createdAt": "2024-05-12T08:30:00Z",
  "updatedAt": "2024-05-13T02:10:00Z",
  "author": "示例用户",
  "authorId": "0123456789abcdef0123456789abcdef",
  "authorUrlToken": "sample-user",
  "authorAvatar": "https://pica.zhimg.com/v2-example_l.jpg",
  "authorHeadline": "软件工程师",
  "authorGender": "female",
  "authorFollowerCount": 1520,
  "authorVerification": null,
  "authorIpLocation": null
}

Articles use "type": "article" with articleId, title, imageUrl and topics; pins use "type": "pin" with pinId, likeCount and topics.

Zhihu comment (comments, replies)

{
  "type": "comment",
  "commentId": "10000000001",
  "answerId": "1234567890",
  "parentCommentId": null,
  "replyToCommentId": null,
  "text": "写得很清楚，谢谢分享。",
  "likeCount": 42,
  "replyCount": 3,
  "isPinned": false,
  "isByContentAuthor": false,
  "createdAt": "2024-05-12T10:05:00Z",
  "author": "示例评论者",
  "authorId": "fedcba9876543210fedcba9876543210",
  "authorUrlToken": "sample-commenter",
  "authorAvatar": "https://pica.zhimg.com/v2-example2_l.jpg",
  "authorHeadline": null,
  "authorGender": null,
  "authorFollowerCount": null,
  "authorVerification": null,
  "authorIpLocation": "广东"
}

Zhihu user (user, followers, following)

{
  "type": "user",
  "userId": "0123456789abcdef0123456789abcdef",
  "userUrlToken": "sample-user",
  "name": "示例用户",
  "headline": "软件工程师",
  "gender": "female",
  "avatar": "https://pica.zhimg.com/v2-example_l.jpg",
  "url": "https://www.zhihu.com/people/sample-user",
  "ipLocation": "上海",
  "followerCount": 1520,
  "answerCount": 64,
  "articleCount": 12,
  "isOrganization": false,
  "isVip": false,
  "verification": null
}

In followers and following mode each user record also has sourceUser, the profile name of the account whose list it comes from.

Zhihu hot list question (hot)

{
  "type": "question",
  "rank": 1,
  "questionId": "987654321",
  "title": "如何看待某示例话题的最新进展？",
  "excerpt": "示例问题描述。",
  "heat": 12150000,
  "heatText": "1215 万热度",
  "answerCount": 356,
  "followerCount": 2890,
  "createdAt": "2024-05-10T03:00:00Z",
  "url": "https://www.zhihu.com/question/987654321"
}

How much does it cost?

The Actor uses pay-per-event pricing:

Event	Price
Run start	$0.005 per run
Result	$0.004 per item returned

Examples:

• 20 results: $0.005 + 20 × $0.004 = $0.085
• 100 results: $0.005 + 100 × $0.004 = $0.405
• 1,000 results: $0.005 + 1,000 × $0.004 = $4.005

On the free Apify plan, every run returns a sample dataset: a real result of this Actor's prefilled input, captured on the date shown in the run status, so you can see exactly what the output looks like. Your own input is not used and nothing is charged. To run your own searches, use any paid Apify plan.

The run-start fee is charged once per run, when the first request succeeds, even if that request returns nothing. It is not charged when the run fails from the start or rejects the IDs, or when your spending limit cannot cover it. You never pay for more than maxResults items, and you are never charged for items that were not delivered. Deleted comments and comments without text are skipped and not charged. With includeReplies, each reply counts as one more result. The run stops by itself if your spending limit is reached.

Keyword search through an alternate search path

A keyword search (search types all, answers or articles) may be served by an alternate search path that returns the same records with the same fields, sort order and filters. The other search types (users, topics, columns, videos, ebooks) and the other modes have no alternate path.

Each page from the alternate path is charged a little extra, as additional run-start fees ($0.005 each):

• Results are $0.004 each. The first page from the alternate path also carries the run's start fee ($0.005). From 9 results on the first page, and from 10 results on a later page, there is no extra charge.
• A page with fewer results gets extra run-start fees ($0.005 each) that make up the difference. First page (the totals include the run's own start fee): 0 results $0.04, 1 result $0.044, 5 results $0.04 (5 × $0.004 + 4 × $0.005), 8 results $0.042 (8 × $0.004 + 2 × $0.005), 9 results $0.041.
• Later pages (no run-start fee of their own): 0 results $0.04, 5 results $0.04 (5 × $0.004 + 4 × $0.005), 8 results $0.042 (8 × $0.004 + 2 × $0.005), 9 results $0.041, 10 results $0.04. A later page of 13 results is $0.052.
• A page with 0 results, or one that timed out, is charged $0.04.

A page from the alternate path usually has 13 to 18 results, so a full page costs the plain result price plus, on the first page, the start fee. The search goes on page by page until maxResults is reached, there are no more results, or a page brings no new record. Every page is charged before the next one is requested, and the run needs a spending limit that can pay for the dearest outcome of the page (up to about $0.09); if it cannot, the Actor does not request the page and charges nothing.

Use cases

• Market and consumer research in the Chinese-speaking web: what people say about a product, a brand or a problem, using search with a keyword and a time range.
• Trend and brand monitoring: pull the hot list every morning, or new answers on a topic every day with sort set to newest.
• Influencer and expert discovery: find who answers best in a field with search or question, then check their followerCount, answerCount and published content with user and userContent.
• Discussion analysis: collect comments and replies with likeCount, replyCount, isByContentAuthor and authorIpLocation to see how readers react.
• AI and data projects: long-form Chinese text in text with clean metadata for LLM training sets, search and summaries.
• Audience research: list the followers or followings of an account as user records.

Why use this Zhihu scraper

• No account, no cookies, no proxies. You give keywords, links or IDs; the Actor does the rest.
• You pay for data you get. Per-result fees are charged only for records delivered to your dataset. A failed or empty run tells you why in its status message and whether anything was charged.
• It runs. In the 30 days to 2 November 2026, 122 of 124 public runs succeeded (98%, Apify run statistics).
• Try before paying. On a free Apify plan every run returns a stored sample, so you can check the exact output format first.
• Flat JSON records ready for spreadsheets, databases and AI pipelines; export as JSON, CSV or Excel.

Integrations and API

If you are looking for a Zhihu API, you can use this Actor like one. It is not an official Zhihu API and is not affiliated with Zhihu. You can start runs through the Apify API, schedule them in the Apify Console (for example a daily hot list run), and connect the results to webhooks and the integrations available on the Apify platform. Results are stored in a dataset you can download as JSON, CSV, Excel and other formats.

Python example with apify-client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("clover_folktale/zhihu-scraper").call(run_input={
    "mode": "search",
    "keyword": "新能源汽车",
    "searchType": "answers",
    "sort": "votes",
    "timeRange": "year",
    "maxResults": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Use it from AI agents (MCP, n8n, Make)

This Actor works as a tool for AI agents through the Apify MCP server. Add it to Claude, Cursor or any MCP client with https://mcp.apify.com?tools=clover_folktale/zhihu-scraper, and the agent can search Zhihu and read the results itself. It also has ready-made integrations for n8n, Make and Zapier on the Apify platform.

Tips and limits

• Page sizes. Search pages hold about 13-18 usable results; lists of answers, articles, pins, followers and followings 20; comments 10; replies up to 50. Large runs make many requests; expect a few seconds per page.
• Questions. question mode fetches the answers of each question in one go, up to 200 per question, in Zhihu's default order or most recently updated first.
• Search. Ads, suggestions and other card types are left out. Pins appear only with result type all. Answer and article full text is included in the search results.
• Comments. comments returns top-level comments. With includeReplies it also outputs the first replies Zhihu shows under each one (not the whole thread). Use replies mode with a comment's commentId to get every reply. Deleted comments and comments without text are skipped and not charged.
• More search types. users, topics, columns, videoPosts and ebooks are separate searches with about 20 hits per page; topics ends after one page. papers searches scholarly papers (title, abstract excerpt, authors, keywords, journal, year; no full text): a page holds about 9-14 papers, later pages partly repeat the one before, and the search ends when a page brings nothing new, so one keyword returns a few dozen papers at most.
• Followed lists. Each is one result per item at the same price; a user's followed questions can run into the tens of thousands, so set maxResults. The same item followed by two users is returned for both.
• Hot list. About 30 questions per request, ranked as on Zhihu at the time of the run.
• Inputs that return nothing. Unknown or hidden users, questions, answers and articles are skipped.
• Stability. The Actor retries transient errors on its own and stops cleanly instead of failing half-way. In search mode an empty page is retried once; other lists and lookups are requested once, and an empty answer is treated as no data.
• Free plan. Every run on the free Apify plan returns a stored sample dataset (a real result of the prefilled input); your own input is not used and nothing is charged. Use any paid Apify plan to run your own searches.

Fields that are often empty

• detail mode on an answer has no voteupCount, commentCount or favoriteCount; use search, question or userContent for those counts.
• authorIpLocation is filled only where Zhihu shows it: comments, replies and articles opened with detail. ipLocation is filled on profile lookups, not on follower lists.
• authorGender and gender are empty when the account has not set one; authorHeadline, authorVerification and verification are empty for accounts without them.
• authorFollowerCount is empty in comments, replies, userContent lists and detail lookups.
• Anonymous authors have a display name but no user ID or profile name.
• text is empty only for image-only pins.
• Some accounts' answers are hidden by Zhihu and cannot be listed even though the profile shows a count.

FAQ

Do I need a Zhihu account, cookies or API keys?

No. You do not need a Zhihu account, API keys, proxies or cookies.

Is it legal to scrape Zhihu?

The Actor returns only public data. Public profile data is included: user ID, profile name, avatar, headline, gender, verification and IP location where Zhihu shows them, for authors, commenters and listed followers alike. Phone numbers, real names and private messages are never part of the output. You are responsible for how you use the data and for following the laws that apply to you.

How fresh is the data?

Data is read from Zhihu when the run happens. Counts such as voteupCount or likeCount are the values at the time of the run, and the hot list is ranked as on Zhihu at that moment.

Why are some fields empty?

Zhihu does not show every field everywhere. For example, IP location appears only on comments, replies, articles opened with detail and profile lookups. See "Fields that are often empty" above.

How many results can I get?

Up to 5,000 per run via maxResults. question mode returns up to 200 answers per question, and the hot list has about 30 questions per request.

Can I schedule runs and export the data?

Yes. Schedule runs in the Apify Console or start them through the API, then export the dataset as JSON, CSV, Excel or other formats.

What happens with a wrong or deleted link?

Unknown or hidden users, questions, answers and articles are skipped, and no result fee is charged for them. The $0.005 run-start fee may still apply: it is charged when the first request succeeds, even if that request returns nothing.

A field or mode is missing. What can I do?

Open an issue from the Actor page and it will be looked at.

Support

Found a bug, a missing field or a mode you need? Open an issue on the Issues tab. We reply within 24 hours, and a mode that stops working is fixed within 24 hours. What changed and when is listed on the Changelog tab.

Other tools by Silkline

Every tool below charges per result and needs no login or cookies.

Chinese social media and content

• Xiaohongshu 小红书 RedNote Scraper - Notes, Comments & Replies
• Douyin 抖音 Scraper - Videos, Comments, Profiles & Hot Search
• Weibo 微博 Scraper - Hot Search, Posts, Comments & Users
• Bilibili B站 Scraper - Videos, Comments, Danmaku & Subtitles
• WeChat Official Account 公众号 Scraper - Articles & Read Counts
• Kuaishou 快手 Scraper - Videos, Comments, Users & Hot Lists
• Douban 豆瓣 Scraper - Movies, Ratings, Comments & Reviews
• Toutiao 今日头条 Scraper - Articles, Videos & Comments
• Youku 优酷 Scraper - Video Search, Video & Channel Details
• China Social Media Search - Weibo, WeChat, Douyin & More

More from Silkline

• Taobao Tmall 淘宝 Product Scraper - Prices, Sales & Shops (E-commerce)
• TikTok Scraper - Video Search, Hashtags, Profiles & Sounds (Global platforms)
• Douyin Xingtu 巨量星图 KOL Scraper - Rates, CPM & Rankings (Marketing and creator data)