Social Intel

Social Intel — Cross-Platform Dossier

One SCRAPER_API_KEY covers all 27 platforms. Load from ~/.claude/.credentials.master.env.

When to Use

• "досье на [имя/компанию]" — полный сбор по всем соцсетям
• "найди соцсети [имя]" — поиск профилей
• "обогати контакт" — добавить данные к существующему лиду
• "due diligence" / "KYC" — проверка контрагента
• "кто этот человек" — быстрый lookup
• Перед звонком (в связке с call-prep)
• Перед outreach (в связке с draft-outreach)

API Reference

BASE = https://api.your-scraper.example
AUTH: x-api-key: $SCRAPER_API_KEY

Person Profiles (1 credit each)

Company Profiles

Link Aggregators (find all socials at once)

Content (recent posts)

Workflow: Full Person Dossier

Step 1: Discover handles

Start with what you have (name, email, one social link). Use WebSearch to find other profiles:

WebSearch("[Full Name] site:linkedin.com/in")
WebSearch("[Full Name] site:instagram.com")
WebSearch("[Full Name] site:tiktok.com")
WebSearch("[Full Name] site:twitter.com OR site:x.com")

If they have a Linktree/Komi — fetch that first (gives all links):

source ~/.claude/.credentials.master.env
curl -s "https://api.your-scraper.example/v1/linktree?username=HANDLE" \
  -H "x-api-key: $SCRAPER_API_KEY"

Step 2: Fetch profiles (parallel)

Run all available profile fetches in parallel Bash calls:

source ~/.claude/.credentials.master.env
API="https://api.your-scraper.example"
H="x-api-key: $SCRAPER_API_KEY"

# LinkedIn
curl -s "$API/v1/linkedin/profile?url=https://linkedin.com/in/USERNAME/" -H "$H" > /tmp/si_linkedin.json &

# Instagram
curl -s "$API/v1/instagram/profile?username=HANDLE" -H "$H" > /tmp/si_instagram.json &

# TikTok
curl -s "$API/v1/tiktok/profile?username=HANDLE" -H "$H" > /tmp/si_tiktok.json &

# Twitter/X
curl -s "$API/v1/twitter/profile?username=HANDLE" -H "$H" > /tmp/si_twitter.json &

# YouTube
curl -s "$API/v1/youtube/channel?handle=@HANDLE" -H "$H" > /tmp/si_youtube.json &

wait
echo "All profiles fetched"

Step 3: Synthesize dossier

Read all JSON files and create a structured report:

# Dossier: [Full Name]
Generated: [date]

## Identity
- **Name:** [from LinkedIn]
- **Title:** [headline]
- **Company:** [current position]
- **Location:** [city, country]
- **Bio:** [most detailed bio from any platform]

## Social Presence
| Platform | Handle | Followers | Posts | Engagement |
|----------|--------|-----------|-------|------------|
| LinkedIn | /in/xxx | [connections] | [posts] | — |
| Instagram | @xxx | [followers] | [posts] | [avg likes] |
| TikTok | @xxx | [followers] | [videos] | [avg views] |
| X/Twitter | @xxx | [followers] | [tweets] | [avg engagement] |
| YouTube | @xxx | [subscribers] | [videos] | [avg views] |

## Recent Activity (last 30 days)
- [Platform]: [summary of recent content themes]
- [Platform]: [notable posts or viral content]

## Professional Background
[From LinkedIn: experience, education, skills, certifications]

## Talking Points
- [Shared interests or connections]
- [Recent achievements or announcements]
- [Content themes they care about]

Step 4: Save report

mkdir -p ~/Documents/Social-Intel
# Write the dossier to a markdown file

Workflow: Company Dossier

Same approach but focus on:

1. LinkedIn Company page → size, industry, description
2. All social profiles → follower counts, content frequency
3. LinkedIn Company Posts → content strategy
4. Employee profiles (key people) → decision makers
5. Ad Library (→ use ad-spy skill) → advertising strategy

Credit Budget

Integration Chain

Safety

• Only public data — no login-required content
• 1 credit per API call, plan budget before batch operations
• Store results locally (~/Documents/Social-Intel/), not in git
• Rate limit courtesy: 1s delay between sequential calls
• Do not use for harassment, stalking, or unauthorized surveillance