Zhihu Scraper — Answers, Comments & Trends

Turn Zhihu conversations into structured data for China market research, brand monitoring, content discovery, and creator research. Zhihu Scraper collects answers, articles, comments, trending questions, videos, and public creator information, ready to explore or export in Excel, CSV, and JSON.

🔎 Discover what people are discussing on Zhihu

Search Zhihu by topic, brand, product, company, or question and bring the most useful public conversations together in one dataset. Instead of reviewing pages one by one, you can compare content, authors, engagement, and discussion themes at scale.

Zhihu Scraper can collect:

• Search results for keywords and phrases, with a choice of answers, articles, videos, or all available content
• Question answers with text, authors, publication details, and engagement
• Articles and individual answers from their Zhihu links
• Comments and replies from answers, articles, and videos
• Zhihu Hot List questions with their current rank and popularity labels
• Creator profiles with public biography, verification, follower, and publishing information when available
• Video details such as titles, creators, cover images, play counts, and duration when provided by Zhihu

🎯 Turn Chinese social media data into useful research

🛍️ Market and consumer research

Study how people describe products, services, categories, and everyday problems in their own words. Zhihu answers and comment threads can reveal recurring questions, decision factors, objections, preferences, and unmet needs.

🏷️ Brand monitoring

Collect public discussions around a company, product, campaign, or competitor. Compare the surrounding context, engagement, and authors behind brand mentions without reducing nuanced conversations to a single score.

💡 Content research

Find questions people care about, explore the answers receiving attention, and identify themes worth explaining in articles, videos, newsletters, or social posts. The Zhihu Hot List adds a current view of topics attracting interest now.

👤 Creator and expert discovery

Review public creator profiles alongside the answers and articles they appear in. Use follower counts, verification details, biographies, and engagement signals to build a more informed shortlist of relevant voices.

📚 Research datasets

Build a focused Zhihu dataset around a subject, community, or discussion. Structured exports make it easier to organize qualitative research, compare sources, and prepare material for further analysis.

📊 Get the context behind every conversation

Zhihu data is most useful when the content and its context stay connected. Results can include:

• 📝 Content: titles, summaries, available answer or article text, source links, images, topics, and publication dates
• 💬 Discussion: comment text, replies, thread relationships, dates, likes, and reply counts
• 📈 Engagement: upvotes, comments, thanks, collections, views, answer counts, and other available interaction signals
• 👥 Authors: names, profile links, headlines, avatars, verification, biographies, follower counts, and publishing activity
• 🔥 Trends: Hot List rank, popularity label, question activity, topics, and collection time
• 🎬 Videos: titles, creator details, duration, play count, cover images, and source links

Not every Zhihu page exposes every detail. Missing values remain empty rather than being guessed, so your dataset stays faithful to the available source information.

🌏 Built for a clearer view of Zhihu

Zhihu combines long-form answers, professional perspectives, personal experience, and active discussion. That makes it valuable for research, but difficult to review consistently by hand. Zhihu Scraper brings these different content types into one organized collection while preserving source links for context.

The result is useful for researchers, marketers, strategists, journalists, analysts, agencies, and teams exploring Chinese social media data. No coding is required.

✅ What makes this Zhihu Scraper useful?

• Broad Zhihu coverage: search results, questions, answers, articles, comments, replies, videos, trends, and profiles
• Conversation-level detail: content, authors, engagement, and reply relationships stay connected
• Research-ready exports: review results in Apify or export them to Excel, CSV, and JSON
• Flexible discovery: research a topic broadly or focus on selected Zhihu links
• Transparent results: unavailable information stays empty, and shortened content is identified when Zhihu marks it as limited
• Focused source collection: the Actor gathers source material without inventing sentiment, translations, or conclusions

⚠️ Good to know

Zhihu controls what content is available, so some answers, articles, comments, or profile details may be missing or shortened. Search rankings, Hot List positions, and engagement counts can also change over time.

Video files and transcripts are not included. Zhihu Scraper does not translate Chinese text or assign sentiment scores. It collects the available source material so you can apply the analysis method that fits your research.

Use collected data responsibly and in line with applicable laws, platform rules, and privacy requirements.

❓ Frequently asked questions

What is Zhihu?

Zhihu is a Chinese question-and-answer and knowledge-sharing platform. People use it to publish detailed answers, articles, opinions, and videos across professional and consumer topics. Its mix of long-form content, creator profiles, comments, and engagement signals makes it a valuable source for understanding questions and discussions in the Chinese market.

How can social media be used for market research?

Public social media discussions can help researchers identify recurring questions, product expectations, objections, vocabulary, and emerging interests. Zhihu is especially useful when the reasoning behind an opinion matters: answers often provide more context than a short post, while comments show how other users react, agree, challenge, or add detail.

Can I create a Zhihu dataset for research?

Yes. You can build a Zhihu dataset from topic searches or selected public links and include available content, authors, comments, engagement, and trend information. Results can be exported to Excel, CSV, or JSON for qualitative review, categorization, comparison, or use with your preferred analysis tools.

Can Zhihu Scraper collect comments and replies?

Yes. It can collect comments from public Zhihu answers, articles, and videos, with the option to include replies. Each comment and reply is kept as its own record while preserving the relationship to the surrounding discussion, making it easier to follow conversations and compare audience reactions.

Does Zhihu Scraper analyze sentiment or translate Chinese text?

No. It returns the available Zhihu content and engagement information without assigning sentiment or translating the text. This avoids presenting automated interpretation as source data and lets you choose the language model, translation service, research framework, or review process that best fits your project.