Social media
Zhihu dataset
Study the questions people ask and the answers they read. Questions, answers, articles, topics, dates, and engagement figures help compare viewpoints and identify recurring consumer or market questions.
Request a sample ↗What to confirm before requesting a quote
- Coverage
- Regions, languages, date range and available record count
- Fields and attachments
- Field definitions, example records and whether original documents or media are required
- Quality and updates
- Deduplication and missing-value rules, sample-based acceptance criteria and update frequency
- Permitted uses
- Internal research, model training, customer-facing products or redistribution
These are project scoping questions, not a statement that every data type includes all coverage or permissions.
01 / WHAT’S INCLUDED
What’s in the dataset
- Questions and answers
- Articles and topics
- Publication dates
- Engagement figures
02 / USE CASES
Where it can help
- Question-led research
- Expert-topic monitoring
03 / DELIVERY
Choose the data you need
Tell us your topics, date range and required fields. Where the source permits, we’ll provide a sample first, then agree on filtering, cleanup and annotation.
Typical delivery formats are Excel, CSV, JSON and JSONL. The quote will state whether original documents or media are included. Let us know if you need recurring updates.
See a sample format ↗Assess the fit for your project
Zhihu questions, answers, articles, and topic discussion suit research into recurring questions and viewpoints expressed in public answers. It is strongest for question-led qualitative work; a highly engaged answer is not automatically an expert conclusion.
How should Zhihu questions and answers be selected?
Start with core questions, topics, and dates, and specify whether articles, answers, comments, or engagement figures are needed. A sample can test whether wording captures real user questions and helps exclude duplicates or off-topic discussion.
Is it suitable as an expert-opinion database?
It can be research material for public viewpoints and questions, but sources, evidence, and applicability should be reviewed in the content itself. The dataset does not make additional guarantees about an answerer’s identity, qualifications, or correctness.
Sources and usage
Public questions, answers, articles, and topic data only.
If you plan to train a model, use the data in a customer-facing product or share it with third parties, mention this when requesting a quote so we can check source permissions and restrictions.
Public access does not establish permission for collection, training or redistribution. Naming a platform does not imply affiliation, agency or endorsement.
Read about data sources and rights ↗Want to review a sample first?
Tell us your project objectives and we’ll help you assess and find a relevant sample.