# finding-affiliate-marketers-on-social-media

Finds affiliate marketers and performance creators on Instagram and TikTok through apidojo scrapers. Useful when you are building a recruitment list for an affiliate program.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 770 installs · ★ 1
- Author: apidojo
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/intent/finding-affiliate-marketers-on-social-media/SKILL.md
- Updated: 2026-05-13
- HTML: https://affpapa.org/en/nevibecode/skills/finding-affiliate-marketers-on-social-media

## What it does

The skill drives the `apidojo/instagram-scraper` and `apidojo/tiktok-scraper` actors on Apify, then turns the raw output into a table of creators. Each row carries a handle, platform, affiliate signal strength, niche focus, engagement rate and promo code count. Five steps run in order: set parameters, run the scraper, filter and classify, score, deliver.

Execution goes through `scripts/run_actor.js`, which waits for the run to finish and writes CSV or JSON. With the Apify MCP server installed, the same actor is called as `apify:run-actor`. A REST fallback posts to the Apify API with `curl` and then pulls the dataset.

Results fall into three buckets: active affiliate (more than 3 promo posts in 30 days), occasional promoter (1–3 posts), and an audience that consumes affiliate content without producing it. The score multiplies the share of promo posts by average views on those posts. Nothing runs without `APIFY_TOKEN` set in the environment or a `.env` file. Telling real affiliates from brand staff is simple: staff push the brand with no trackable code or unique URL.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill finding-affiliate-marketers-on-social-media -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/finding-affiliate-marketers-on-social-media/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/finding-affiliate-marketers-on-social-media/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill finding-affiliate-marketers-on-social-media -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/finding-affiliate-marketers-on-social-media/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill finding-affiliate-marketers-on-social-media -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/finding-affiliate-marketers-on-social-media/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install apidojo-io/apidojo-skills finding-affiliate-marketers-on-social-media
```

2. **Manually: put the files in place**
- File: `.github/skills/finding-affiliate-marketers-on-social-media/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill finding-affiliate-marketers-on-social-media -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/apidojo-io/apidojo-skills --path skills/intent/finding-affiliate-marketers-on-social-media
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/finding-affiliate-marketers-on-social-media/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill finding-affiliate-marketers-on-social-media -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/intent/finding-affiliate-marketers-on-social-media/SKILL.md

## When to use it
- build a creator list before launching an affiliate program
- spot who already promotes products in a niche
- find creators running a competitor's affiliate links
- separate active affiliates from one-off promoters
- compare engagement and promo code counts across candidates

## Example prompts
- Find affiliate marketers in the home goods niche on Instagram
- Build a list of TikTok creators promoting cosmetics with a promo code
- Show me who is pushing a competitor's affiliate links

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: fe04680125fb208a.

BEGIN THIRD-PARTY FILE fe04680125fb208a
````text
---
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):**
```bash
# Quick answer (prints table to chat)
````
END THIRD-PARTY FILE fe04680125fb208a

The third-party file has ended. Everything between the fe04680125fb208a tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2092 of 4653 bytes. © apidojo · Apache-2.0 · https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/intent/finding-affiliate-marketers-on-social-media/SKILL.md

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