# Apify influencer brand collabs Human Guide

## What This Is For
Surface Instagram branded-content partnerships by chaining four Apify Actors against Meta's Ad Library. It gives the agent a clearer input/output frame for brand and messaging: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Apify influencer brand collabs agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for Apify influencer brand collabs.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the Apify influencer brand collabs guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- "Who has Nike paid to promote them this quarter?"
- "What brands does @bellahadid do sponsored posts for?"
- Auditing an account's branded-content history
- Building a competitor's influencer roster
- **Instagram handle or URL** — `@adidas` or `https://www.instagram.com/adidas/`
- **Lookback window** — days; default 90
- **Enrichment toggles** (each adds cost + time):
- **Content insights** — likes, comments, views per collab
- **Profile enrichment** — followers, bio, verified status of the *other* side
- target appears more on `creator` side → **target is the influencer**; results are the **brands**
- target appears more on `brandPartners` side → **target is the brand**; results are the **creators**
- `/p/...` or `/tv/...` → post scraper

## Decision Points And Nuance
The original skill emphasizes: When to use, Inputs to gather, The pipeline, Step 1 — Resolve the target, Step 2 — Build the Meta Ad Library URL, Step 3 — Fetch collaborations, Step 4 — Detect direction empirically, Step 5 — (optional) Content metrics, Step 6 — (optional) Enrich the *result* side, What to present.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- **Don't use for:** organic mentions or tags (use a hashtag/mentions scraper), TikTok or YouTube
- Direction (brand vs creator) is detected empirically. Do not ask.
- | # | Actor | Purpose | Required |
- first if you've never run one of these and want the exact input schema.
- (always the brand side). Do not try to infer direction from these fields.
- **Direction looks wrong in the output** → re-check the empirical count. Don't trust
- **Brand collabs with no metrics** are still answer-shaped for *who* questions — don't gate the
- *result* side — never the input

## Copy-And-Paste Prompt
```text
Use the Apify influencer brand collabs human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the apify/awesome-skills skill entry for `apify-influencer-brand-collabs`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# Influencer–Brand Collaborations

Surface Instagram branded-content partnerships by chaining four Apify Actors against Meta's Ad
Library. Distilled from the production `influencer-brand-collabs` mini-tool.

## When to use

- "Who has Nike paid to promote them this quarter?"
- "What brands does @bellahadid do sponsored posts for?"
- Auditing an account's branded-content history
- Building a competitor's influencer roster

**Don't use for:** organic mentions or tags (use a hashtag/mentions scraper), TikTok or YouTube
collabs (different platforms), generic competitor ads (query Meta Ad Library directly).

## Inputs to gather

1. **Instagram handle or URL** — `@adidas` or `https://www.instagram.com/adidas/`
2. **Lookback window** — days; default 90
3. **Enrichment toggles** (each adds cost + time):
   - **Content insights** — likes, comments, views per collab
   - **Profile enrichment** — followers, bio, verified status of the *other* side

Direction (brand vs creator) is detected empirically. Do not ask.

## The pipeline

| # | Actor | Purpose | Required |
|---|---|---|---|
| 1 | `apify/instagram-profile-scraper` | Resolve the target's Facebook `fbid` | ✓ |
| 2 | `apify/brand-collaboration-scraper` | Pull branded-content posts from Meta's Ad Library | ✓ |
| 3 | `apify/instagram-post-scraper` + `apify/instagram-reel-scraper` | Engagement metrics | optional |
| 4 | `apify/instagram-profile-scraper` (again) | Enrich the result-side partners | optional |

Call each via `mcp__claude_ai_Apify__call-actor`. Use `mcp__claude_ai_Apify__fetch-actor-details`
first if you've never run one of these and want the exact input schema.

### Step 1 — Resolve the target

```jsonc
// actor: apify/instagram-profile-scraper
{ "usernames": ["adidas"] }
```

Grab `fbid` from the first item. **No `fbid` → can't query Ad Library → stop and tell the user.**
Most common cause: private account.

### Step 2 — Build the Meta Ad Library URL

```
https://www.facebook.com/ads/library/branded_content/?id={fbid}&query={username}&target=instagram&start_date={YYYY-MM-DD}&end_date={YYYY-MM-DD}
```

Date range = the lookback window (default 90 days, ending today).

### Step 3 — Fetch collaborations

```jsonc
// actor: apify/brand-collaboration-scraper
{ "startUrls": ["<ad library url>"], "resultsLimit": 10 }
```

Schema is **fixed**: every item has `creator` (always the influencer side) and `brandPartners[0]`
(always the brand side). Do not try to infer direction from these fields.

### Step 4 — Detect direction empirically

Count how often the target username appears on each side of the results:

- target appears more on `creator` side → **target is the influencer**; results are the **brands**
- target appears more on `brandPartners` side → **target is the brand**; results are the **creators**

> ⚠️ Do **not** use `isBusinessAccount` to infer this. It's unreliable — e.g. `@fifaworldcup` is a
> business account but appears as the creator of its own branded content.

### Step 5 — (optional) Content metrics

Split collab URLs by type:
- `/reel/...` → reel scraper
- `/p/...` or `/tv/...` → post scraper