apify-influencer-brand-collabs
Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. Triggers: - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster" Works in either direction — brand → creators or creator → brands — and detects direction from the data, so don't ask the user to declare it. Requires Apify MCP tools.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apify/awesome-skills --skill apify-influencer-brand-collabs- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads apify-influencer-brand-collabs automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
- Instagram handle or URL —
@adidasorhttps://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
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
// 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
// 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
creatorside → target is the influencer; results are the brands - target appears more on
brandPartnersside → target is the brand; results are the creators
⚠️ Do not use
isBusinessAccountto infer this. It's unreliable — e.g.@fifaworldcupis 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
// actor: apify/instagram-post-scraper
{ "username": ["<post urls>"], "resultsLimit": 1, "dataDetailLevel": "basicData" }
// actor: apify/instagram-reel-scraper
{ "username": ["<reel urls>"], "resultsLimit": 1 }
Match back to collabs via shortcode in the URL: /(p|reel|tv)/([A-Za-z0-9_-]+).
Engagement formula: likesCount + commentsCount + (videoViewCount ?? videoPlayCount ?? 0).
Run the two scrapers in parallel — they're independent.
Step 6 — (optional) Enrich the result side
Collect unique usernames from the side that is not the target. Then:
// actor: apify/instagram-profile-scraper
{ "usernames": [<unique result-side usernames>] }
Only enrich the side the user actually cares about. The input handle is already known.
What to present
After aggregation, surface:
- Headline counts: total collabs, unique partners, total engagement (if metrics enriched)
- Top 5 collabs by engagement — only meaningful when content insights were toggled on
- Content-type mix: Post vs Reel; Reels usually dominate engagement
- Weekly timeline across the date range — spikes reveal campaign launches
- Per-partner card (when profiles enriched): handle, full name, followers, verified, category, collabs in this run, avg engagement
For who-questions, the partner list alone is enough. Metrics only matter for which-was-best-questions.
URL parsing
Strip Instagram's _u/ and _n/ deep-link prefixes before extracting the handle:
/instagram\.com\/(?:_u\/|_n\/)?([A-Za-z0-9_.]+)/i
These slugs are not usernames — skip them:
explore, reels, stories, direct, accounts, about, p, reel, tv, tags,
locations, _u, _n.
Pitfalls
- Target is private → profile scraper returns no
fbid. Bail early with a clear message. - No results → try in order: widen the date range, double-check the handle (strip
_u/), confirm the account actually runs branded content. Meta only indexes ads they've classified as branded content. - Engagement is all zeros → user skipped content enrichment. Offer to re-run with it on.
- Direction looks wrong in the output → re-check the empirical count. Don't trust
isBusinessAccount. - Brand collabs with no metrics are still answer-shaped for who questions — don't gate the whole flow on enrichment.
Cost & time
Full 4-actor run: ~3–5 minutes, a few cents of Apify compute. Order of magnitude:
| Enrichment | Actors run | Approx time |
|---|---|---|
| None | 2 | 1–2 min |
| + Content | 3–4 | 2–4 min |
| + Profiles | +1 | +30–60 s |
If the user just needs a partner list, skip both toggles.
Reference implementation
Production route this skill was distilled from:
mini-tools-main/src/app/api/tools/influencer-brand-collabs/route.ts — full transformation logic,
error handling, and slimmed display shapes for each scraper's output.
FAQ
What does the apify-influencer-brand-collabs skill do?
Discover Instagram brand–creator partnerships by chaining Apify Actors. Use when the user asks who collabs with a brand, which brands a creator has done paid posts for, wants to audit an influencer's branded-content history, or wants to scope a brand's sponsorship roster. Triggers: - "who collabs with [brand] on Instagram?" - "what brands has [creator] done sponsored posts for?" - "find paid partnerships / branded content for [handle]" - "audit [influencer]'s brand deals" - "show me [brand]'s influencer roster" Works in either direction — brand → creators or creator → brands — and detects direction from the data, so don't ask the user to declare it. Requires Apify MCP tools.
How do I install apify-influencer-brand-collabs?
Run npx skills add https://github.com/apify/awesome-skills --skill apify-influencer-brand-collabs in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/apify-influencer-brand-collabs/ (personal) or .claude/skills/apify-influencer-brand-collabs/ (project).
Which AI agents can use apify-influencer-brand-collabs?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is apify-influencer-brand-collabs safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains apify-influencer-brand-collabs?
It is published by apify in apify/awesome-skills, and it is an official skill from the maker of the technology it covers. It has 179 recorded installs.
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