Split queries performed worse. The proven working pattern is:
- Single query with Korean+English clinic name
- "검색해서 찾아줘. 검색 결과에서 발견된 계정을 모두 알려줘" phrasing
- All channels in one request
- English name in parentheses helps Perplexity find international accounts
Tested: "그랜드성형외과 (Grand Plastic Surgery)" → finds Instagram,
YouTube, Facebook, TikTok, Naver Blog all in one call.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Single mega-query returns empty results. Split into:
B4a. Instagram + YouTube (most important, focused search)
B4b. Facebook + TikTok + Naver Blog + Kakao
B4c. 강남언니 + review platforms
Each query is short and focused — matches the proven pattern of
2-5 keyword searches that Perplexity handles well.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Long system prompt caused sonar-pro to return empty results.
Reverted to sonar model with short, proven prompt pattern that
matches the user's successful manual test.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replaced simple "find handles" prompt with comprehensive research agent:
- Model: sonar → sonar-pro (advanced multi-step web search)
- System prompt: full research methodology with 2-3 keyword searches,
URL fetching, quantitative data extraction
- Output: structured JSON with channels (handles + follower counts +
subscriber counts) + platforms (강남언니 rating, reviews)
- Research results saved to scrape_data.onlinePresenceResearch for
downstream use in collect-channel-data and generate-report
Added _shared/researchPrompt.ts with prompt template + builder.
Updated agent documentation in doc/.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
B4 Perplexity: rewrote from narrow "find social accounts" to broad
"Online Presence 종합 분석" — finds Instagram, YouTube, Facebook,
TikTok, Naver, Kakao, 강남언니, 바비톡 in one query.
B5 Apify Instagram: generates handle candidates from clinic name
(english name, domain, _official, _ps, _clinic variants) and directly
checks each via Apify instagram-profile-scraper. Finds accounts that
web search misses.
Removed redundant B4b (platform presence) — now merged into B4.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replaced Perplexity-only approach with 5 parallel direct API searches:
B1. YouTube Data API: search?type=channel&q={clinicName} → find channel
B2a. Naver Blog API: search blog.json → find official Naver blog
B2b. Naver Web API: search webkr.json → find Instagram/YouTube/Facebook URLs
B3. Firecrawl Search: web search → extract social URLs from results
B4. Perplexity: supplement — catch what direct APIs missed
All 5 sources run in parallel after Stage A (Firecrawl scrape for clinicName).
Results merged + deduplicated + verified. Perplexity is now a fallback,
not the primary source.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Perplexity prompts changed from "find verified accounts" (returns all
null) to "search and report what you find" (returns actual handles).
Added clinicName resolution: Firecrawl Korean → English → Perplexity
URL-to-name lookup → domain fallback.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Previously Firecrawl and Perplexity ran in parallel, so Perplexity
received raw URL instead of clinic name → poor search results.
Now:
Stage A: Firecrawl scrape+map (parallel) → extract clinicName from HTML
Stage B: Perplexity searches using extracted clinicName → finds Instagram,
YouTube, Facebook handles that Firecrawl HTML parsing missed
Stage C: Merge 3 sources + verify all handles
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
discover-channels: extractHandle('youtube') now detects UC* channel IDs
and returns them without @ prefix (previously @UC... caused verify fail)
verifyHandles: verifyYouTube uses cleanHandle for UC* check, requests
part=id,snippet for richer data
collect-channel-data: if channelId missing but handle present, resolves
via forHandle/forUsername lookup or direct UC* detection before skipping
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
discover-channels: new extractHandle() validates each handle belongs to
its platform (rejects hospital-internal URLs like /idtube/view being
treated as YouTube). Extracts handles from full URLs correctly.
collect-channel-data: explicit Record<string,unknown> typing for DB JSON
fields — fixes TypeScript property access on VerifiedChannels from DB.
verifyHandles: fix TikTok double-URL concatenation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Restructured the entire analysis pipeline from AI-guessing social
handles to deterministic 3-phase discovery + collection + generation.
Phase 1 (discover-channels): 3-source channel discovery
- Firecrawl scrape: extract social links from HTML
- Perplexity search: find handles via web search
- URL regex parsing: deterministic link extraction
- Handle verification: HEAD requests + YouTube API
- DB: creates row with verified_channels + scrape_data
Phase 2 (collect-channel-data): 9 parallel data collectors
- Instagram (Apify), YouTube (Data API v3), Facebook (Apify)
- 강남언니 (Firecrawl), Naver Blog + Place (Naver API)
- Google Maps (Apify), Market analysis (Perplexity 4x parallel)
- DB: stores ALL raw data in channel_data column
Phase 3 (generate-report): AI report from real data
- Reads channel_data + analysis_data from DB
- Builds channel summary with real metrics
- AI generates report using only verified data
- V1 backwards compatibility preserved (url-based flow)
Supporting changes:
- DB migration: status, verified_channels, channel_data columns
- _shared/extractSocialLinks.ts: regex-based social link parser
- _shared/verifyHandles.ts: multi-platform handle verifier
- AnalysisLoadingPage: real 3-phase progress + channel panel
- useReport: channel_data column support + V2 enrichment merge
- 강남언니 rating: auto-correct 5→10 scale + search fallback
- KPIDashboard: navigate() instead of <a href>
- Loading text: 20-30초 → 1-2분
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Haewon Kam