抖音搜索视频全量分析工具，支持扫码登录，自动图片验证

This skill automates end-to-end Douyin topic research and report generation. Given a search keyword and a target video count, it handles QR-code login, batch...

Douyin Topic Research & Report Skill

Purpose

Automate the full pipeline: keyword → data collection → CAPTCHA bypass → enrichment → analysis → HTML report, replicating a proven workflow that successfully collected and analyzed 100 videos on the topic "女性成长".

Applicable Scenarios

• "帮我分析抖音上 [关键词] 的视频，哪些因素让视频更多点赞转发"
• "采集抖音 [话题] 最近 N 条视频数据，生成分析报告"
• "我想研究抖音某类内容的爆款规律"
• "给我一份抖音 [关键词] 的可视化数据报告"

Default Parameters

Parameter	Default	Notes
KEYWORD	女性成长	Search keyword (URL-encoded automatically)
TOTAL	100	Total videos to collect
DETAIL_LIMIT	50	Max videos to visit detail pages
COMMENTS_TOP	5	Top comments per video

Full Pipeline (5 Steps)

Step 1 — Environment Setup

cd <work_dir>
python3 -m venv venv && source venv/bin/activate
pip install playwright pillow numpy scipy scikit-image openpyxl
playwright install chromium

Step 2 — Login & Save Session

Run scripts/douyin_login.py (or adapt inline). The script:

1. Launches Chromium (headless=False)
2. Navigates to https://www.douyin.com
3. Waits for user to scan QR code (polls document.cookie until login detected)
4. Saves cookies to douyin_session.json

Key anti-detection settings (always apply):

args=["--disable-blink-features=AutomationControlled", "--no-sandbox",
      "--window-size=1440,900"]
# Init script:
"Object.defineProperty(navigator,'webdriver',{get:()=>undefined});"

Step 3 — Batch Video Collection

See scripts/collect_videos.py. Core logic:

• Intercept search/item API response (aweme_list field contains video data)
• Navigate to https://www.douyin.com/search/{keyword}?type=video
• For batch 2+: scroll down 8× with window.scrollBy(0, 600) then wait 4s
• Extract fields: aweme_id, desc (title), statistics (likes/shares/collects/comments), author.uid, author.nickname, author.follower_count, video.duration, text_extra (tags)

Step 4 — Detail Enrichment + CAPTCHA Solving

See scripts/parse_videos.py and scripts/captcha_solver.py.

CAPTCHA Solving Algorithm (proven, use exactly)

The algorithm is embedded in scripts/captcha_solver.py. Key findings from empirical testing:

1. Template matching is the primary method (most accurate, directly gives left edge of gap)
2. Sobel edge detection is secondary (detects right edge of gap → left peak of dual-peak = left edge)
3. Decision: if diff ≤ 25px → weighted average (70% template + 30% Sobel); else → use template only

# Element selectors (抖音 captcha iframe)
captcha_frame selector: frame.url contains "verifycenter" or "captcha"
bg_el  = frame.locator(".captcha-verify-image").first
sl_el  = frame.locator(".captcha-verify-image-slide").first
btn_el = frame.locator(".captcha-slider-btn").first

# Slide distance formula
gap_center_abs = bg_bb["x"] + gap_x + sl_bb["width"] / 2
btn_center_abs = btn_bb["x"] + btn_bb["width"] / 2
slide_distance = gap_center_abs - btn_center_abs

Human-like Slide Path (ease-out + overshoot)

def ease_out_cubic(t): return 1 - (1 - t) ** 3

# overshoot 3-7px, then pull back in final 15% of path
# Y-axis jitter ±2px, X-axis jitter ±1px during 5%-80%
# Timing: fast phase (frac<0.5) 5-8ms, mid 10-18ms, slow 25-45ms

Refresh captcha between retries

rb = frame.locator(".vc-captcha-refresh,.captcha-refresh,[class*='refresh']").first

Step 5 — Analysis & Report Generation

See scripts/analyze_factors.py and scripts/generate_report.py.

Analysis dimensions (all proven to have measurable effect):

Dimension	Key Finding
Duration	2-3 min is sweet spot (15× better than >5 min)
Tag count	1-2 tags >> 5+ tags (up to 6× difference)
Best tags	#自我成长 #个人成长 #认知 #女生必看
Follower (log-corr)	r=0.617, moderate positive
Title with ！	+2× likes vs no exclamation
Title length	11-20 chars optimal
Emotion keywords	Love/marriage/mood words → higher shares

Report output: douyin_analysis_report.html with 10 interactive Chart.js charts.

File Structure

work_dir/
├── douyin_session.json      # saved login cookies
├── douyin_raw_data.json     # raw collected videos
├── douyin_parsed.json       # enriched with detail data
├── analysis_result.json     # computed analysis metrics
├── douyin_report.xlsx       # Excel version
└── douyin_analysis_report.html  # final interactive HTML report

Critical Notes

• headless=False is required for CAPTCHA solving (screenshot-based)
• Always mask the slider overlay in the background image before edge detection: bg_arr[:mask_h, :mask_w] = column_mean_fill
• search_start = sl_w + 12 to skip the initial slider position area
• Max retries for captcha: 5 attempts with captcha refresh between each
• After captcha success, wait 3s before continuing
• The douyin_session.json expires; re-login if 401/redirect to login page

Dependencies

playwright, pillow, numpy, scipy, scikit-image, openpyxl