Social media
Weibo dataset
Examine public response to a brand, issue, event, or news story. Posts, reposts, replies, public account information, topic references, and engagement figures show how a conversation develops over time.
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
- Posts and reposts
- Public replies
- Public account profiles
- Topics and engagement figures
02 / USE CASES
Where it can help
- Public-opinion research
- Event 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
Weibo posts, reposts, and replies can help study how public discussion develops. Define the dates and topic rules around a brand, event, or issue to distinguish original posts, propagation, and later response.
How can Weibo data support event monitoring?
Define event names, related terms, accounts, date windows, and required fields. Posts, reposts, public replies, topics, and engagement figures can reconstruct visible discussion paths, but sample scope and keyword rules should travel with the results.
Can public opinion be analyzed by user profile?
Projects may use research-relevant fields in public account profiles, but do not supply messages or sensitive personal information and should not infer sensitive attributes. Interpret results through public content and clear selection rules.
Sources and usage
Public information only; no private messages or sensitive personal information.
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.