media-crawler-tieba

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Collect Baidu Tieba thread and user evidence with MediaCrawler using keyword or bar discovery, exact thread detail, replies, and creator pages. Use for community pain-point, vocabulary, objection, topic, or user research with thread-context preservation.

AI & Automation 1,813 stars 162 forks Updated 1 weeks ago Apache-2.0

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Quality Score: 88/100

Stars 20%
100
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
52
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Tieba collection Follow [media-crawler](../media-crawler/SKILL.md). Require purpose, keyword/bar/thread/user inputs, target size and time bounds, reply depth, and invoking Model Memory destination. Use `--platform tieba --type search` for discovery. Configure bar names in `TIEBA_NAME_LIST` when the research scope is community-specific; otherwise use intent-distinct keywords. Configure exact thread IDs in `TIEBA_SPECIFIED_ID_LIST` and full user-home URLs in `TIEBA_CREATOR_URL_LIST`; use detail/creator mode. Preserve bar name, thread title, original post, floor/reply relationships, author, publish time and canonical URL. Do not flatten replies into independent opinions without their parent context. Sample across different threads/authors and deduplicate by thread ID plus post/floor identity. Start without deep replies, enrich only relevant threads, and stop on authentication/risk control. Return scope/bar list, exact inputs, raw/copied paths, thread/reply/user counts, coverage, time, commit, exclusions and selection rationale.

Details

Author
tsingyuai
Repository
tsingyuai/growth-lab
Created
4 weeks ago
Last Updated
1 weeks ago
Language
Python
License
Apache-2.0

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