discovering-brand-ambassadors-across-platforms

核心功能：借助apidojo的三大平台爬虫，筛选、分类并加权评分创作者，生成多平台品牌大使候选；输出含各平台账号、综合触达量、品牌契合度、互动数据及大使等级的结构化结果。典型场景：品牌合作团队、DTC品牌、大使项目经理拓展多渠道大使资源时使用。输入需提供Ins相关URL等参数，支持自定义过滤与格式输出。

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最近更新 2026-09-03 04:44:36

分类：营销依赖：代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景：社交媒体 / 市场分析 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add discovering-brand-ambassadors-across-platforms

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.