finding-affiliate-marketers-on-social-media

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English

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Chinese

Finding Affiliate Marketers On Social Media

在社交媒体上寻找联盟营销人员

Executes finding affiliate marketers on social media using apidojo scrapers. Part of the apidojo intelligence skills library.

借助apidojo爬虫工具执行社交媒体联盟营销人员的查找操作，属于apidojo智能技能库的一部分。

Prerequisites

前提条件

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

已设置
```
APIFY_TOKEN
```
环境变量
可选：已安装Apify MCP服务器

Inputs

输入参数

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

参数	类型	是否必填	默认值	说明
`startUrls`	数组	✅	`[]`	Instagram链接 — 个人主页、话题标签、地点、音频页面、短视频
`until`	字符串	可选	—	爬取截止日期（格式：YYYY-MM-DD）
`maxItems`	数字	可选	无限制	返回的最大帖子数量
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

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

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

步骤2：运行Actor

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

bash

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推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速输出（在聊天中打印表格）

node scripts/run_actor.js
--actor "apidojo~instagram-scraper"
--input '{"param": "value"}'

Save as CSV

保存为CSV文件

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

Save as JSON

保存为JSON文件

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:**
```bash
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:

bash

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

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

> `APIFY_TOKEN`必须在环境变量或`.env`文件中配置。

**若Apify MCP可用：**

Tool: apify:run-actor Actor: "apidojo~instagram-scraper" Input: { "searchTerms": ["#affiliate[niche]", "#[niche]code", "use code [NICHE]", "#commissioned"], "maxItems": 100 }


**REST API备选方案：**
```bash
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}'

等待状态变为

SUCCEEDED

后，获取数据集：

bash

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

Step 3: Classify Results

步骤3：结果分类

classification: ACTIVE_AFFILIATE (> 3 promo posts in 30 days) | OCCASIONAL_PROMOTER (1-3 posts) | AFFILIATE_AUDIENCE (uses affiliate content but doesn't produce it)

classification: ACTIVE_AFFILIATE（30天内发布超3条推广帖）| OCCASIONAL_PROMOTER（1-3条推广帖）| AFFILIATE_AUDIENCE（使用联盟内容但不创作）

Step 4: Score Each Result

步骤4：结果评分

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

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

Step 5: Edge Cases

步骤5：边缘情况

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

区分真实联盟营销者与品牌员工 — 员工推广品牌时无优惠码；联盟营销者推广时使用可追踪的优惠码或专属链接

其他应对方案：

结果少于20条：拓宽搜索词；移除次要筛选条件
无结果：验证搜索词是否正确；尝试其他表述
数据质量问题：移除关键字段缺失的条目；在输出中注明数量

Output Format

输出格式

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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]

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]

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

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Troubleshooting

故障排除

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.

结果数量过少：拓宽主搜索词；移除限制性筛选条件。 结果质量低下：设置最低分数阈值（≥ 0.50）过滤无效数据。 Actor运行失败：验证API密钥；在apify.com/apidojo查看Actor状态。