finding-affiliate-marketers-on-social-media

该 Skill 通过 Apify 的 Instagram/TikTok 抓取器，按产品品类搜索联盟营销达人，按促销码帖占比和浏览量评分，分类为活跃联盟、偶发推广者或联盟受众，并输出账号、平台、信号强度、互动率和促销码数量。工作流引用的脚本缺失，TikTok 执行步骤未展开。

apidojo-io

热度 11.45

最近更新 2026-09-03 04:43:55

分类：营销依赖：第三方 API / 代码执行 / 读写文件 / MCP 服务应用场景：社交媒体 / 市场分析 / 研究 / 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 finding-affiliate-marketers-on-social-media

Metadata

name: finding-affiliate-marketers-on-social-media
description: Finds affiliate marketers and performance marketing creators on Instagram and TikTok using apidojo's scrapers. Triggers when the user asks to: find affiliate marketers for a product category, discover creators running affiliate campaigns on social media, identify performance marketers promoting products in a niche, find social media affiliates for a brand program, discover who is promoting competitor affiliate links, build an affiliate creator recruitment list, or find content creators with affiliate marketing experience. Returns creator handle, platform, affiliate signal strength, niche focus, engagement rate, and promo code count. Ideal for affiliate program managers, e-commerce brands launching affiliate programs, and network managers.
license: Apache-2.0
metadata: {"author":"apidojo","version":"1.0","apify-actors":"apidojo/instagram-scraper, apidojo/tiktok-scraper"}

Finding Affiliate Marketers On Social Media

Executes finding affiliate marketers on social media 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": ["#affiliate[niche]", "#[niche]code", "use code [NICHE]", "#commissioned"],
  "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": ["#affiliate[niche]", "#[niche]code", "use code [NICHE]", "#commissioned"], "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: ACTIVE_AFFILIATE (> 3 promo posts in 30 days) | OCCASIONAL_PROMOTER (1-3 posts) | AFFILIATE_AUDIENCE (uses affiliate content but doesn't produce it)

Step 4: Score Each Result

score = affiliate_signal = (promo_code_post_count / total_posts * 100) * (avg_views_on_affiliate_posts / 1000)

Step 5: Edge Cases

Distinguish genuine affiliates from brand employees — employees promote brand without code; affiliates promote with a trackable code or unique URL

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

# Finding Affiliate Marketers On Social Media
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.