Douyin SocialDataX Post Details
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Follow the guide at https://skillhub.cn/install/skillhub.md to install @user_825d9e7e/socialdatax-douyin-detail.
About this skill
Problem
When you already have a Douyin aweme_id, content page URL, short link, or share text and need post details, this skill turns detail lookup into a repeatable workflow. It is useful for retrieving description, author, publish time, interaction counts, and content type for data analysis, especially when checking public metadata for video or image-text posts.
How It Works
The skill prefers a direct CLI when the agent can run shell commands, so no MCP server setup is required. Use --aweme-id when the work ID is known. Use --url for content page URLs, short links, or share text. Do not pass both --aweme-id and --url in one command. --pretty is only for formatting output.
If MCP tools are already available:
- douyin_get_video_detail_by_aweme_id: best when aweme_id is known
- douyin_get_video_detail_by_url: best for content URLs, short links, or share text; do not pass playback URLs such as video.play_url
Data calls require SOCIALDATAX_API_KEY. Returned output should stay factual: description, author, publish time, interaction counts, content_type, images, and media summary. For image/text posts, prefer images; video is the platform player resource and may be audio.
The boundary is explicit: the skill is read-only. It does not read local browser data, save API keys, or perform login, posting, liking, commenting, or account changes. Use it for public post details, not account operations, content scraping, or local data access.
Use Cases
- Operations receives a batch of Douyin short links and needs to extract description, publish time, and like/comment counts into a competitive analysis sheet.
- A data analyst with known aweme_ids pulls author, engagement counts, and content_type to classify each post as video or image-text.
- A content team parses share text into post details, confirming media summary and image fields before filing into a topic tracker.
- A growth team reviews a viral video by URL to retrieve publish time, interaction counts, and description for data reconciliation.
Best For
- Competitive monitoring operators who extract post descriptions and engagement counts from short links into a tracking sheet.
- Data analysts doing content review who have aweme_ids and need author, publish time, interaction counts, and post type.
- Content planners building a topic library who parse share text into post details, confirming images and media summary.
- Growth engineers doing campaign attribution who retrieve viral video descriptions and interaction counts by URL.
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