keisei/KeiSeiKit-1.0
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KeiSeiKit-1.0/_blocks/scraper-paid-tier.md
Parfii-bot 0be354a920 KeiSeiKit-public — clean state 
Single-commit clean baseline after security scrub of niche-tells,
project codenames, internal jargon, and contributor-email leaks.

Contents:
- 100 Rust crates (_primitives/_rust/)
- 37 agent manifests (_manifests/) + generated specs (_generated/)
- 67 user-invocable skills (skills/)
- 33 hooks (hooks/)
- Composition blocks (_blocks/)
- Documentation (docs/, README.md)
- TS adapter packages (_ts_packages/)
- Assembler (_assembler/)
- Roles (_roles/)
- Templates (_templates/)
- Forgejo CI (.forgejo/)

Author: Denis Parfionovich <info@greendragon.info>

License: see LICENSE.
2026-05-01 12:09:03 +08:00

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DOMAIN — Scrapers Tier 3 (Apify / Bright Data paid)

MANDATORY handoff to kei-cost-guardian before ANY paid scraping run. Tier 3 = fallback, not default. Prove Tier 1 insufficient first.

Known rates (verify on provider pricing page before launch — rates change):

  • Apify YouTube apidojo/youtube-scraper — $0.50/1K (free API v3 preferred when quota allows)
  • Apify LinkedIn harvestapi/linkedin-profile-scraper — $4/1K (no email) / $10/1K (with email) — HIGH LEGAL RISK (BGH Germany Nov 2024: scraping = 100 EUR GDPR compensation per user)
  • Apify Instagram apify/instagram-scraper — $2.30-2.60/1K · apidojo/instagram-scraper — $0.50/1K (cheaper, residential proxies mandatory)
  • Apify Facebook apify/facebook-posts-scraper — $5-8/1K · Bright Data ~$1/1K (10x cheaper at scale)
  • Apify TikTok — [VERIFY: https://apify.com/store?search=tiktok] (report lacks current rate)
  • Apify Telegram — $1-3/1K, DON'T USE — Telethon (Tier 1, FREE) gives 100% functionality
  • Bright Data residential proxies — ~$7-8/GB (Apify residential add-on same tier)

Pre-run checklist (hand off to kei-cost-guardian):

  1. Dashboard balance — state current Apify credits / Bright Data balance.
  2. Pricing page fetched LIVE (WebFetch) — quote rate + timestamp.
  3. Running actors — Apify dashboard: show what's already billing.
  4. Cost estimate — N_items × $rate/1K + proxy_GB × $8. Echo dollars to user BEFORE launch.
  5. 1-2 item smoke run first — verify shape + per-item cost; only then scale.
  6. Monitor first 2 min stdout — kill on anomaly, don't let a broken actor burn the run.
  7. Log actuals to memory/{project}.md after.

GDPR residential-proxy ban (EU targets):

  • Residential proxies for GDPR-protected data (EU individual profiles) → DPO sign-off required.
  • Default to datacenter proxies unless the actor mandates residential (Instagram, Facebook).
  • XING = DACH = strictest GDPR jurisdiction — prefer XingZap (5 EUR/query, GDPR-compliant) over raw Apify actors.

Cost tiers (inherit from domain-paid-apis):

  • < $5 AUTO · $5-$20 WARN · > $20 STOP + explicit user "yes, launch $N.NN" echo.

Forbidden: launching LinkedIn paid scrape without legal-review sign-off in DECISIONS.md; cookie-based LinkedIn actors with user's main account (curious_coder/* bans accounts); residential proxies on EU individual profiles without DPO approval; batch >100 items without kei-cost-guardian estimate; skipping 1-2 item smoke run (failed actor config × N items = N billings); running paid scraper when Tier 1 (YouTube API v3, Telethon, GitHub GraphQL) covers the data; hardcoding Apify tokens in source (use secrets/*.env).