Douyin Comment Lead Capture

The Problem

• Manual review of Douyin comment sections is slow, and scattered comments are hard to turn into actionable leads.
• High-engagement comments on competitor videos often contain demand signals such as “ask for guidance”, “how to buy”, or “price”, but they lack structured fields.

How It Works

• The core flow is search → comment: keyword search first finds candidate videos and returns signals such as aweme_id and digg_count.
• Comment retrieval then uses the aweme_id to extract public fields such as user_nickname, user_uid, ip_label, and text.
• High-intent comments can be filtered and exported to a sheet or CRM; post-cli and hot-cli only help discover posts or keywords.

Boundaries

• It processes public data only. It does not log in, send messages, scrape private fields such as phone numbers or WeChat IDs, or invent contact details.
• Results change over time and are subject to rate limits, so keep --limit and request intervals conservative.
• Exported data should follow personal-information protection requirements and must not be resold or used for harassment.