Weibo Post Scraper
Scrape Weibo Posts and Social Data to a Spreadsheet
Extract post content, like counts, forward counts, comment counts, author usernames, follower counts, and publish dates from any Weibo feed or search page. Export to CSV or Excel for social listening and brand monitoring.
What data gets extracted
DataLens automatically detects and extracts these fields from Weibo — no selectors, no code, no maintenance.
How it works
- 1
Open a Weibo feed, search results, or user profile in Chrome.
- 2
Launch DataLens and let the AI detect the post card structure.
- 3
Scroll to load more posts and export the dataset to CSV or Excel.
Frequently asked questions
These are the most common questions teams ask before using DataLens for this workflow.
What Weibo data can DataLens extract?
DataLens extracts post content, like counts, forward (repost) counts, comment counts, author usernames, follower counts, and publish dates from Weibo feeds and search pages.
Do I need a Weibo API key?
No. DataLens reads Weibo content rendered in your Chrome browser — no API credentials required.
Can I monitor brand mentions on Weibo?
Yes. Search for your brand name or keyword in Weibo, then use DataLens to extract the results into a spreadsheet for sentiment analysis or monitoring.
Can I export to Excel?
Yes. Export Weibo data to CSV, Excel (XLSX), or JSON for brand monitoring, social listening, or competitive research.
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