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discovering-brand-ambassadors-across-platforms

通过 Apify 的 Instagram、TikTok、Twitter 抓取器按品牌关键词或主页链接检索创作者，按各平台粉丝量加权计算影响力并分级为 MEGA/MACRO/MICRO/NANO，输出表格、CSV 或 JSON。包内实际缺少运行脚本，仅能依文档描述执行。

分类：营销
apidojo-io
热度 24.02
最近更新 2026-11-01 17:12:44

安装

发给 Agent
帮我安装这个技能：npx secure-skills-cli add apidojo-io/apidojo-skills/discovering-brand-ambassadors-across-platforms
兼容性
通用兼容
联网要求
需要联网
数据出网
必须出网
Metadata
name
discovering-brand-ambassadors-across-platforms
description
Discovers potential brand ambassadors across Instagram TikTok and Twitter using apidojo's scrapers. Triggers when the user asks to: find brand ambassadors across multiple platforms, discover cross-platform creators for brand ambassador programs, find creators who would make good ambassadors across social media, identify multi-platform influencers for ambassador recruitment, find creators with audiences on multiple platforms for a brand partnership, build a multi-platform brand ambassador pipeline, or discover creators with authentic brand affinity across channels. Returns creator handle per platform, combined reach estimate, brand affinity signals, engagement metrics, and ambassador tier. Ideal for brand partnership teams, DTC brands, and ambassador program managers needing multi-channel reach.
license
Apache-2.0
metadata
{"author":"apidojo","version":"1.0","apify-actors":"apidojo/instagram-scraper, apidojo/tiktok-scraper, apidojo/twitter-user-scraper"}

Discovering Brand Ambassadors Across Platforms

Executes discovering brand ambassadors across platforms using apidojo scrapers. Part of the apidojo intelligence skills library.

Prerequisites

  • APIFY_TOKEN environment variable set
  • Optional: Apify MCP server installed

Inputs

Parameter Type Required Default Notes
startUrls array ✅ [] Instagram URLs — profiles, hashtags, locations, audio pages, reels
until string Optional — Scrape posts until this date (YYYY-MM-DD)
maxItems number Optional Unlimited Maximum posts to return
customMapFunction string Optional — JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run instagram-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output

Step 2: Run the Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~instagram-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~instagram-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~instagram-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json

APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~instagram-scraper"
Input:
{
  "searchTerms": ["#[brand]", "#[brand]ambassador", "#[brand]fam"],
  "maxItems": 100
}

REST API fallback:

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["#[brand]", "#[brand]ambassador", "#[brand]fam"], "maxItems": 100}'

Wait for SUCCEEDED. Fetch dataset:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

Step 3: Classify Results

classification: MEGA (combined reach > 500K) | MACRO (100K-500K) | MICRO (10K-100K) | NANO (1K-10K)

Step 4: Score Each Result

score = combined_reach = IG_followers + TikTok_followers * 0.8 + Twitter_followers * 0.5  # platform-weighted

Step 5: Edge Cases

  • The same creator on multiple platforms often has very different audience sizes per platform — list per-platform stats separately, don't just sum

Additional fallbacks:

  • < 20 results: Broaden search terms; remove secondary filters
  • No results: Verify the search terms are correct; try alternate phrasings
  • Data quality issues: Remove entries with missing key fields; note count in output

Output Format

# Discovering Brand Ambassadors Across Platforms
Results: [N] | Date: [DATE]

| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |

## Summary
Top result: [description]
Key finding: [insight]

Troubleshooting

Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.